diff --git "a/assets/worker-BjbQ0Zls.js" "b/assets/worker-BjbQ0Zls.js" new file mode 100644--- /dev/null +++ "b/assets/worker-BjbQ0Zls.js" @@ -0,0 +1,2376 @@ +var sk=Object.defineProperty;var ok=(Ve,mr,Lr)=>mr in Ve?sk(Ve,mr,{enumerable:!0,configurable:!0,writable:!0,value:Lr}):Ve[mr]=Lr;var N=(Ve,mr,Lr)=>(ok(Ve,typeof mr!="symbol"?mr+"":mr,Lr),Lr);(function(){"use strict";var v_;var Ve={},mr=Object.freeze({__proto__:null,default:Ve});const Lr="3.0.0-alpha.0",ja=typeof self<"u",Z_=ja&&self.constructor.name==="DedicatedWorkerGlobalScope",_u=ja&&"caches"in self,e0=typeof navigator<"u"&&"gpu"in navigator,wu=typeof process<"u",t0=wu&&((v_=process==null?void 0:process.release)==null?void 0:v_.name)==="node",qa=!$u(Ve),yu=!$u(Ve),Ir=Object.freeze({IS_BROWSER_ENV:ja,IS_WEBWORKER_ENV:Z_,IS_WEB_CACHE_AVAILABLE:_u,IS_WEBGPU_AVAILABLE:e0,IS_PROCESS_AVAILABLE:wu,IS_NODE_ENV:t0,IS_FS_AVAILABLE:qa,IS_PATH_AVAILABLE:yu}),gs=qa&&yu,bu=gs?Ve.dirname(Ve.dirname(Ve.fileURLToPath(self.location.href))):"./",r0=gs?Ve.join(bu,"/.cache/"):null,vu="/models/",n0=gs?Ve.join(bu,vu):vu,yt={version:Lr,backends:{onnx:{},tfjs:{}},allowRemoteModels:!0,remoteHost:"https://huggingface.co./",remotePathTemplate:"{model}/resolve/{revision}/",allowLocalModels:!ja,localModelPath:n0,useFS:qa,useBrowserCache:_u,useFSCache:qa,cacheDir:r0,useCustomCache:!1,customCache:null};function $u(t){return Object.keys(t).length===0}const bt=class{constructor(){let t=function(...e){return t._call(...e)};return Object.setPrototypeOf(t,new.target.prototype)}_call(...t){throw Error("Must implement _call method in subclass")}};function Wn(t,e){t&&t(e)}function a0(t){return Object.fromEntries(Object.entries(t).map(([e,r])=>[r,e]))}function xu(t){return t.replace(/[.*+?^${}()|[\]\\]/g,"\\$&")}function i0(t){return Number.isInteger(t)||typeof t=="bigint"}function Su(t){const e=[];let r=t;for(;Array.isArray(r);)e.push(r.length),r=r[0];return e}function lt(...t){return Array.prototype.concat.apply([],t)}function Ka(t,e){return Math.abs((t+e)%(2*e)-e)}function gr(t,e){return Object.assign({},...e.map(r=>{if(t[r]!==void 0)return{[r]:t[r]}}))}var _r={};class Ya{constructor(e){N(this,"_CONTENT_TYPE_MAP",{txt:"text/plain",html:"text/html",css:"text/css",js:"text/javascript",json:"application/json",png:"image/png",jpg:"image/jpeg",jpeg:"image/jpeg",gif:"image/gif"});if(this.filePath=e,this.headers=new Headers,this.exists=Ve.existsSync(e),this.exists){this.status=200,this.statusText="OK";let r=Ve.statSync(e);this.headers.set("content-length",r.size.toString()),this.updateContentType();let n=this;this.body=new ReadableStream({start(a){n.arrayBuffer().then(s=>{a.enqueue(new Uint8Array(s)),a.close()})}})}else this.status=404,this.statusText="Not Found",this.body=null}updateContentType(){const e=this.filePath.toString().split(".").pop().toLowerCase();this.headers.set("content-type",this._CONTENT_TYPE_MAP[e]??"application/octet-stream")}clone(){let e=new Ya(this.filePath);return e.exists=this.exists,e.status=this.status,e.statusText=this.statusText,e.headers=new Headers(this.headers),e}async arrayBuffer(){return(await Ve.promises.readFile(this.filePath)).buffer}async blob(){const e=await Ve.promises.readFile(this.filePath);return new Blob([e],{type:this.headers.get("content-type")})}async text(){return await Ve.promises.readFile(this.filePath,"utf8")}async json(){return JSON.parse(await this.text())}}function _s(t,e=null,r=null){let n;try{n=new URL(t)}catch{return!1}return!(e&&!e.includes(n.protocol)||r&&!r.includes(n.hostname))}async function ws(t){var e;if(yt.useFS&&!_s(t,["http:","https:","blob:"]))return new Ya(t);if(typeof process<"u"&&((e=process==null?void 0:process.release)==null?void 0:e.name)==="node"){const r=!!(_r!=null&&_r.TESTING_REMOTELY),n=yt.version,a=new Headers;if(a.set("User-Agent",`transformers.js/${n}; is_ci/${r};`),_s(t,["http:","https:"],["huggingface.co","hf.co"])){const i=(_r==null?void 0:_r.HF_TOKEN)??(_r==null?void 0:_r.HF_ACCESS_TOKEN);i&&a.set("Authorization",`Bearer ${i}`)}return fetch(t,{headers:a})}else return fetch(t)}const s0={400:"Bad request error occurred while trying to load file",401:"Unauthorized access to file",403:"Forbidden access to file",404:"Could not locate file",408:"Request timeout error occurred while trying to load file",500:"Internal server error error occurred while trying to load file",502:"Bad gateway error occurred while trying to load file",503:"Service unavailable error occurred while trying to load file",504:"Gateway timeout error occurred while trying to load file"};function o0(t,e,r){if(!r)return null;const n=s0[t]??`Error (${t}) occurred while trying to load file`;throw Error(`${n}: "${e}".`)}class ku{constructor(e){this.path=e}async match(e){let r=Ve.join(this.path,e),n=new Ya(r);if(n.exists)return n}async put(e,r){const n=Buffer.from(await r.arrayBuffer());let a=Ve.join(this.path,e);try{await Ve.promises.mkdir(Ve.dirname(a),{recursive:!0}),await Ve.promises.writeFile(a,n)}catch(s){console.warn("An error occurred while writing the file to cache:",s)}}}async function u0(t,...e){for(let r of e)try{let n=await t.match(r);if(n)return n}catch{continue}}async function Xa(t,e,r=!0,n={}){if(!yt.allowLocalModels&&n.local_files_only)throw Error("Invalid configuration detected: local models are disabled (`env.allowLocalModels=false`) but you have requested to only use local models (`local_files_only=true`).");Wn(n.progress_callback,{status:"initiate",name:t,file:e});let a;if(!a&&yt.useBrowserCache){if(typeof caches>"u")throw Error("Browser cache is not available in this environment.");try{a=await caches.open("transformers-cache")}catch(S){console.warn("An error occurred while opening the browser cache:",S)}}if(!a&&yt.useFSCache&&(a=new ku(n.cache_dir??yt.cacheDir)),!a&&yt.useCustomCache)throw Error("`env.useCustomCache=true`, but `env.customCache` is not defined.");const s=n.revision??"main";let i=Qa(t,e),o=Qa(yt.localModelPath,i),u=Qa(yt.remoteHost,yt.remotePathTemplate.replaceAll("{model}",t).replaceAll("{revision}",encodeURIComponent(s)),e),l=s==="main"?i:Qa(t,s,e),c,h=a instanceof ku?l:u,m=!1,_;a&&(_=await u0(a,o,h));const p=_!==void 0;if(_===void 0){if(yt.allowLocalModels)if(_s(i,["http:","https:"])){if(n.local_files_only)throw new Error(`\`local_files_only=true\`, but attempted to load a remote file from: ${i}.`)}else try{_=await ws(o),c=o}catch(x){console.warn(`Unable to load from local path "${o}": "${x}"`)}if(_===void 0||_.status===404){if(n.local_files_only||!yt.allowRemoteModels){if(r)throw Error(`\`local_files_only=true\` or \`env.allowRemoteModels=false\` and file was not found locally at "${o}".`);return null}if(_=await ws(u),_.status!==200)return o0(_.status,u,r);c=h}m=a&&typeof Response<"u"&&_ instanceof Response&&_.status===200}Wn(n.progress_callback,{status:"download",name:t,file:e});const y={status:"progress",name:t,file:e};let v;return n.progress_callback?p&&typeof navigator<"u"&&/firefox/i.test(navigator.userAgent)?(v=new Uint8Array(await _.arrayBuffer()),Wn(n.progress_callback,{...y,progress:100,loaded:v.length,total:v.length})):v=await l0(_,S=>{Wn(n.progress_callback,{...y,...S})}):v=new Uint8Array(await _.arrayBuffer()),m&&c&&await a.match(c)===void 0&&await a.put(c,new Response(v,{headers:_.headers})).catch(S=>{console.warn(`Unable to add response to browser cache: ${S}.`)}),Wn(n.progress_callback,{status:"done",name:t,file:e}),v}async function Ar(t,e,r=!0,n={}){let a=await Xa(t,e,r,n);if(a===null)return{};let i=new TextDecoder("utf-8").decode(a);return JSON.parse(i)}async function l0(t,e){const r=t.headers.get("Content-Length");r===null&&console.warn("Unable to determine content-length from response headers. Will expand buffer when needed.");let n=parseInt(r??"0"),a=new Uint8Array(n),s=0;const i=t.body.getReader();async function o(){const{done:u,value:l}=await i.read();if(u)return;let c=s+l.length;if(c>n){n=c;let m=new Uint8Array(n);m.set(a),a=m}a.set(l,s),s=c;const h=s/n*100;return e({progress:h,loaded:s,total:n}),o()}return await o(),a}function Qa(...t){return t=t.map((e,r)=>(r&&(e=e.replace(new RegExp("^/"),"")),r!==t.length-1&&(e=e.replace(new RegExp("/$"),"")),e)),t.join("/")}function d0(t,[e,r,n],[a,s],i="bilinear",o=!1){const u=s/n,l=a/r,c=new t.constructor(a*s*e),h=r*n,m=a*s;for(let _=0;_=0;--o)a[o]=u,n[o]=e[r[o]],u*=n[o];const s=r.map((o,u)=>a[r.indexOf(u)]),i=new t.constructor(t.length);for(let o=0;o=0;--l)u+=c%e[l]*s[l],c=Math.floor(c/e[l]);i[u]=t[o]}return[i,n]}function Vn(t){const e=wr(t)[0],r=t.map(s=>Math.exp(s-e)),n=r.reduce((s,i)=>s+i,0);return r.map(s=>s/n)}function p0(t){return Vn(t).map(n=>Math.log(n))}function Eu(t){if(t.length===0)throw Error("Array must not be empty");let e=t[0],r=0;for(let n=1;ne&&(e=t[n],r=n);return[Number(e),r]}function Cu(t){return t>0&&(t&t-1)===0}class Tu{constructor(e){if(this.size=e|0,this.size<=1||!Cu(this.size))throw new Error("FFT size must be a power of two larger than 1");this._csize=e<<1,this.table=new Float64Array(this.size*2);for(let n=0;nn;n<<=1)++r;this._width=r%2===0?r-1:r,this._bitrev=new Int32Array(1<>>a&3)<>>1);for(let a=0;a>>1]=e[a];return n}toComplexArray(e,r){const n=r||this.createComplexArray();for(let a=0;a>>1],n[a+1]=0;return n}transform(e,r){if(e===r)throw new Error("Input and output buffers must be different");this._transform4(e,r,1)}realTransform(e,r){if(e===r)throw new Error("Input and output buffers must be different");this._realTransform4(e,r,1)}inverseTransform(e,r){if(e===r)throw new Error("Input and output buffers must be different");this._transform4(e,r,-1);for(let n=0;n>=2;i>=2;i>>=2){o=a/i<<1;const m=o>>>2;for(u=0;u>>1,i>>>1)}else for(u=0,l=0;u>>1,i>>>1,n)}const h=this.table;for(i>>=2;i>=2;i>>=2){o=a/i<<1;const _=o>>>1,p=_>>>1,y=p>>>1;for(u=0;u>>1;for(let _=2;_>1;++c){const h=(c+1-e)**2/2,m=Math.sqrt(u**2+l**2)**h,_=h*Math.atan2(l,u),p=2*c;s[p]=m*Math.cos(_),s[p+1]=m*Math.sin(_),i[p]=s[p],i[p+1]=-s[p+1]}this._slicedChirpBuffer=s.subarray(r,n),this._f=new Tu(a>>1),this._f.transform(this._chirpBuffer,i)}_transform(e,r,n){const a=this._buffer1,s=this._buffer2,i=this._outBuffer1,o=this._outBuffer2,u=this._chirpBuffer,l=this._slicedChirpBuffer,c=this._a;if(n)for(let h=0;h>1,p=r[_];a[h]=p*l[h],a[m]=p*l[m]}else for(let h=0;h=t.length&&(u=2*(t.length-1)-u),n[i++]=t[u]}n.sort(),r[s]=n[a]}return r}function Ja(t,e){const r=Math.pow(10,e);return Math.round(t*r)/r}function g0(t){const e=Math.round(t);return Math.abs(t)%1===.5?e%2===0?e:e-1:e}function _0(t){const e=t.length,r=t[0].length,n=[e+1,r+1],a=Array.from({length:n[0]},()=>Array(n[1]).fill(1/0));a[0][0]=0;const s=Array.from({length:n[0]},()=>Array(n[1]).fill(-1));for(let c=1;c0||o>0;)switch(u.push(i-1),l.push(o-1),s[i][o]){case 0:--i,--o;break;case 1:--i;break;case 2:--o;break;default:throw new Error(`Internal error in dynamic time warping. Unexpected trace[${i}, ${o}]. Please file a bug report.`)}return u.reverse(),l.reverse(),[u,l]}/*! + * ONNX Runtime Web v1.18.0 + * Copyright (c) Microsoft Corporation. All rights reserved. + * Licensed under the MIT License. + */var ys=Object.defineProperty,w0=Object.getOwnPropertyDescriptor,y0=Object.getOwnPropertyNames,b0=Object.prototype.hasOwnProperty,ee=(t,e)=>()=>(t&&(e=t(t=0)),e),hn=(t,e)=>()=>(e||t((e={exports:{}}).exports,e),e.exports),fn=(t,e)=>{for(var r in e)ys(t,r,{get:e[r],enumerable:!0})},v0=(t,e,r,n)=>{if(e&&typeof e=="object"||typeof e=="function")for(let a of y0(e))!b0.call(t,a)&&a!==r&&ys(t,a,{get:()=>e[a],enumerable:!(n=w0(e,a))||n.enumerable});return t},Ur=t=>v0(ys({},"__esModule",{value:!0}),t),Gn,Mr,Wr,Iu,bs,vs=ee(()=>{Gn=new Map,Mr=[],Wr=(t,e,r)=>{if(e&&typeof e.init=="function"&&typeof e.createInferenceSessionHandler=="function"){let n=Gn.get(t);if(n===void 0)Gn.set(t,{backend:e,priority:r});else{if(n.priority>r)return;if(n.priority===r&&n.backend!==e)throw new Error(`cannot register backend "${t}" using priority ${r}`)}if(r>=0){let a=Mr.indexOf(t);a!==-1&&Mr.splice(a,1);for(let s=0;s{let e=Gn.get(t);if(!e)return"backend not found.";if(e.initialized)return e.backend;if(e.aborted)return e.error;{let r=!!e.initPromise;try{return r||(e.initPromise=e.backend.init(t)),await e.initPromise,e.initialized=!0,e.backend}catch(n){return r||(e.error=`${n}`,e.aborted=!0),e.error}finally{delete e.initPromise}}},bs=async t=>{let e=t.executionProviders||[],r=e.map(u=>typeof u=="string"?u:u.name),n=r.length===0?Mr:r,a,s=[],i=new Set;for(let u of n){let l=await Iu(u);typeof l=="string"?s.push({name:u,err:l}):(a||(a=l),a===l&&i.add(u))}if(!a)throw new Error(`no available backend found. ERR: ${s.map(u=>`[${u.name}] ${u.err}`).join(", ")}`);for(let{name:u,err:l}of s)r.includes(u)&&console.warn(`removing requested execution provider "${u}" from session options because it is not available: ${l}`);let o=e.filter(u=>i.has(typeof u=="string"?u:u.name));return[a,new Proxy(t,{get:(u,l)=>l==="executionProviders"?o:Reflect.get(u,l)})]}}),$0=ee(()=>{vs()}),Au,x0=ee(()=>{Au="1.18.0"}),$s,Ut,Mu=ee(()=>{x0(),$s="warning",Ut={wasm:{},webgl:{},webgpu:{},versions:{common:Au},set logLevel(t){if(t!==void 0){if(typeof t!="string"||["verbose","info","warning","error","fatal"].indexOf(t)===-1)throw new Error(`Unsupported logging level: ${t}`);$s=t}},get logLevel(){return $s}},Object.defineProperty(Ut,"logLevel",{enumerable:!0})}),Ue,S0=ee(()=>{Mu(),Ue=Ut}),Ou,zu,k0=ee(()=>{Ou=(t,e)=>{let r=typeof document<"u"?document.createElement("canvas"):new OffscreenCanvas(1,1);r.width=t.dims[3],r.height=t.dims[2];let n=r.getContext("2d");if(n!=null){let a,s;(e==null?void 0:e.tensorLayout)!==void 0&&e.tensorLayout==="NHWC"?(a=t.dims[2],s=t.dims[3]):(a=t.dims[3],s=t.dims[2]);let i=(e==null?void 0:e.format)!==void 0?e.format:"RGB",o=e==null?void 0:e.norm,u,l;o===void 0||o.mean===void 0?u=[255,255,255,255]:typeof o.mean=="number"?u=[o.mean,o.mean,o.mean,o.mean]:(u=[o.mean[0],o.mean[1],o.mean[2],0],o.mean[3]!==void 0&&(u[3]=o.mean[3])),o===void 0||o.bias===void 0?l=[0,0,0,0]:typeof o.bias=="number"?l=[o.bias,o.bias,o.bias,o.bias]:(l=[o.bias[0],o.bias[1],o.bias[2],0],o.bias[3]!==void 0&&(l[3]=o.bias[3]));let c=s*a,h=0,m=c,_=c*2,p=-1;i==="RGBA"?(h=0,m=c,_=c*2,p=c*3):i==="RGB"?(h=0,m=c,_=c*2):i==="RBG"&&(h=0,_=c,m=c*2);for(let y=0;y{let r=typeof document<"u"?document.createElement("canvas").getContext("2d"):new OffscreenCanvas(1,1).getContext("2d"),n;if(r!=null){let a,s,i;(e==null?void 0:e.tensorLayout)!==void 0&&e.tensorLayout==="NHWC"?(a=t.dims[2],s=t.dims[1],i=t.dims[3]):(a=t.dims[3],s=t.dims[2],i=t.dims[1]);let o=e!==void 0&&e.format!==void 0?e.format:"RGB",u=e==null?void 0:e.norm,l,c;u===void 0||u.mean===void 0?l=[255,255,255,255]:typeof u.mean=="number"?l=[u.mean,u.mean,u.mean,u.mean]:(l=[u.mean[0],u.mean[1],u.mean[2],255],u.mean[3]!==void 0&&(l[3]=u.mean[3])),u===void 0||u.bias===void 0?c=[0,0,0,0]:typeof u.bias=="number"?c=[u.bias,u.bias,u.bias,u.bias]:(c=[u.bias[0],u.bias[1],u.bias[2],0],u.bias[3]!==void 0&&(c[3]=u.bias[3]));let h=s*a;if(e!==void 0&&(e.format!==void 0&&i===4&&e.format!=="RGBA"||i===3&&e.format!=="RGB"&&e.format!=="BGR"))throw new Error("Tensor format doesn't match input tensor dims");let m=4,_=0,p=1,y=2,v=3,S=0,x=h,C=h*2,T=-1;o==="RGBA"?(S=0,x=h,C=h*2,T=h*3):o==="RGB"?(S=0,x=h,C=h*2):o==="RBG"&&(S=0,C=h,x=h*2),n=r.createImageData(a,s);for(let I=0;I{Ss(),Za=(t,e)=>{if(t===void 0)throw new Error("Image buffer must be defined");if(e.height===void 0||e.width===void 0)throw new Error("Image height and width must be defined");if(e.tensorLayout==="NHWC")throw new Error("NHWC Tensor layout is not supported yet");let{height:r,width:n}=e,a=e.norm??{mean:255,bias:0},s,i;typeof a.mean=="number"?s=[a.mean,a.mean,a.mean,a.mean]:s=[a.mean[0],a.mean[1],a.mean[2],a.mean[3]??255],typeof a.bias=="number"?i=[a.bias,a.bias,a.bias,a.bias]:i=[a.bias[0],a.bias[1],a.bias[2],a.bias[3]??0];let o=e.format!==void 0?e.format:"RGBA",u=e.tensorFormat!==void 0&&e.tensorFormat!==void 0?e.tensorFormat:"RGB",l=r*n,c=u==="RGBA"?new Float32Array(l*4):new Float32Array(l*3),h=4,m=0,_=1,p=2,y=3,v=0,S=l,x=l*2,C=-1;o==="RGB"&&(h=3,m=0,_=1,p=2,y=-1),u==="RGBA"?C=l*3:u==="RBG"?(v=0,x=l,S=l*2):u==="BGR"&&(x=0,S=l,v=l*2);for(let T=0;T{let r=typeof HTMLImageElement<"u"&&t instanceof HTMLImageElement,n=typeof ImageData<"u"&&t instanceof ImageData,a=typeof ImageBitmap<"u"&&t instanceof ImageBitmap,s=typeof t=="string",i,o=e??{},u=()=>{if(typeof document<"u")return document.createElement("canvas");if(typeof OffscreenCanvas<"u")return new OffscreenCanvas(1,1);throw new Error("Canvas is not supported")},l=c=>c instanceof HTMLCanvasElement||c instanceof OffscreenCanvas?c.getContext("2d"):null;if(r){let c=u();c.width=t.width,c.height=t.height;let h=l(c);if(h!=null){let m=t.height,_=t.width;if(e!==void 0&&e.resizedHeight!==void 0&&e.resizedWidth!==void 0&&(m=e.resizedHeight,_=e.resizedWidth),e!==void 0){if(o=e,e.tensorFormat!==void 0)throw new Error("Image input config format must be RGBA for HTMLImageElement");o.tensorFormat="RGBA",o.height=m,o.width=_}else o.tensorFormat="RGBA",o.height=m,o.width=_;h.drawImage(t,0,0),i=h.getImageData(0,0,_,m).data}else throw new Error("Can not access image data")}else if(n){let c,h;if(e!==void 0&&e.resizedWidth!==void 0&&e.resizedHeight!==void 0?(c=e.resizedHeight,h=e.resizedWidth):(c=t.height,h=t.width),e!==void 0&&(o=e),o.format="RGBA",o.height=c,o.width=h,e!==void 0){let m=u();m.width=h,m.height=c;let _=l(m);if(_!=null)_.putImageData(t,0,0),i=_.getImageData(0,0,h,c).data;else throw new Error("Can not access image data")}else i=t.data}else if(a){if(e===void 0)throw new Error("Please provide image config with format for Imagebitmap");let c=u();c.width=t.width,c.height=t.height;let h=l(c);if(h!=null){let m=t.height,_=t.width;return h.drawImage(t,0,0,_,m),i=h.getImageData(0,0,_,m).data,o.height=m,o.width=_,Za(i,o)}else throw new Error("Can not access image data")}else{if(s)return new Promise((c,h)=>{let m=u(),_=l(m);if(!t||!_)return h();let p=new Image;p.crossOrigin="Anonymous",p.src=t,p.onload=()=>{m.width=p.width,m.height=p.height,_.drawImage(p,0,0,m.width,m.height);let y=_.getImageData(0,0,m.width,m.height);o.height=m.height,o.width=m.width,c(Za(y.data,o))}});throw new Error("Input data provided is not supported - aborted tensor creation")}if(i!==void 0)return Za(i,o);throw new Error("Input data provided is not supported - aborted tensor creation")},Pu=(t,e)=>{let{width:r,height:n,download:a,dispose:s}=e,i=[1,n,r,4];return new qt({location:"texture",type:"float32",texture:t,dims:i,download:a,dispose:s})},Bu=(t,e)=>{let{dataType:r,dims:n,download:a,dispose:s}=e;return new qt({location:"gpu-buffer",type:r??"float32",gpuBuffer:t,dims:n,download:a,dispose:s})},Du=(t,e,r)=>new qt({location:"cpu-pinned",type:t,data:e,dims:r??[e.length]})}),Vr,Hn,xs,Nu,C0=ee(()=>{Vr=new Map([["float32",Float32Array],["uint8",Uint8Array],["int8",Int8Array],["uint16",Uint16Array],["int16",Int16Array],["int32",Int32Array],["bool",Uint8Array],["float64",Float64Array],["uint32",Uint32Array]]),Hn=new Map([[Float32Array,"float32"],[Uint8Array,"uint8"],[Int8Array,"int8"],[Uint16Array,"uint16"],[Int16Array,"int16"],[Int32Array,"int32"],[Float64Array,"float64"],[Uint32Array,"uint32"]]),xs=!1,Nu=()=>{if(!xs){xs=!0;let t=typeof BigInt64Array<"u"&&BigInt64Array.from,e=typeof BigUint64Array<"u"&&BigUint64Array.from,r=typeof Float16Array<"u"&&Float16Array.from;t&&(Vr.set("int64",BigInt64Array),Hn.set(BigInt64Array,"int64")),e&&(Vr.set("uint64",BigUint64Array),Hn.set(BigUint64Array,"uint64")),r?(Vr.set("float16",Float16Array),Hn.set(Float16Array,"float16")):Vr.set("float16",Uint16Array)}}}),Fu,Lu,T0=ee(()=>{Ss(),Fu=t=>{let e=1;for(let r=0;r{switch(t.location){case"cpu":return new qt(t.type,t.data,e);case"cpu-pinned":return new qt({location:"cpu-pinned",data:t.data,type:t.type,dims:e});case"texture":return new qt({location:"texture",texture:t.texture,type:t.type,dims:e});case"gpu-buffer":return new qt({location:"gpu-buffer",gpuBuffer:t.gpuBuffer,type:t.type,dims:e});default:throw new Error(`tensorReshape: tensor location ${t.location} is not supported`)}}}),qt,Ss=ee(()=>{k0(),E0(),C0(),T0(),qt=class{constructor(t,e,r){Nu();let n,a;if(typeof t=="object"&&"location"in t)switch(this.dataLocation=t.location,n=t.type,a=t.dims,t.location){case"cpu-pinned":{let i=Vr.get(n);if(!i)throw new TypeError(`unsupported type "${n}" to create tensor from pinned buffer`);if(!(t.data instanceof i))throw new TypeError(`buffer should be of type ${i.name}`);this.cpuData=t.data;break}case"texture":{if(n!=="float32")throw new TypeError(`unsupported type "${n}" to create tensor from texture`);this.gpuTextureData=t.texture,this.downloader=t.download,this.disposer=t.dispose;break}case"gpu-buffer":{if(n!=="float32"&&n!=="float16"&&n!=="int32"&&n!=="int64"&&n!=="uint32"&&n!=="uint8"&&n!=="bool")throw new TypeError(`unsupported type "${n}" to create tensor from gpu buffer`);this.gpuBufferData=t.gpuBuffer,this.downloader=t.download,this.disposer=t.dispose;break}default:throw new Error(`Tensor constructor: unsupported location '${this.dataLocation}'`)}else{let i,o;if(typeof t=="string")if(n=t,o=r,t==="string"){if(!Array.isArray(e))throw new TypeError("A string tensor's data must be a string array.");i=e}else{let u=Vr.get(t);if(u===void 0)throw new TypeError(`Unsupported tensor type: ${t}.`);if(Array.isArray(e)){if(t==="float16"&&u===Uint16Array)throw new TypeError("Creating a float16 tensor from number array is not supported. Please use Uint16Array as data.");t==="uint64"||t==="int64"?i=u.from(e,BigInt):i=u.from(e)}else if(e instanceof u)i=e;else throw new TypeError(`A ${n} tensor's data must be type of ${u}`)}else if(o=e,Array.isArray(t)){if(t.length===0)throw new TypeError("Tensor type cannot be inferred from an empty array.");let u=typeof t[0];if(u==="string")n="string",i=t;else if(u==="boolean")n="bool",i=Uint8Array.from(t);else throw new TypeError(`Invalid element type of data array: ${u}.`)}else{let u=Hn.get(t.constructor);if(u===void 0)throw new TypeError(`Unsupported type for tensor data: ${t.constructor}.`);n=u,i=t}if(o===void 0)o=[i.length];else if(!Array.isArray(o))throw new TypeError("A tensor's dims must be a number array");a=o,this.cpuData=i,this.dataLocation="cpu"}let s=Fu(a);if(this.cpuData&&s!==this.cpuData.length)throw new Error(`Tensor's size(${s}) does not match data length(${this.cpuData.length}).`);this.type=n,this.dims=a,this.size=s}static async fromImage(t,e){return Ru(t,e)}static fromTexture(t,e){return Pu(t,e)}static fromGpuBuffer(t,e){return Bu(t,e)}static fromPinnedBuffer(t,e,r){return Du(t,e,r)}toDataURL(t){return Ou(this,t)}toImageData(t){return zu(this,t)}get data(){if(this.ensureValid(),!this.cpuData)throw new Error("The data is not on CPU. Use `getData()` to download GPU data to CPU, or use `texture` or `gpuBuffer` property to access the GPU data directly.");return this.cpuData}get location(){return this.dataLocation}get texture(){if(this.ensureValid(),!this.gpuTextureData)throw new Error("The data is not stored as a WebGL texture.");return this.gpuTextureData}get gpuBuffer(){if(this.ensureValid(),!this.gpuBufferData)throw new Error("The data is not stored as a WebGPU buffer.");return this.gpuBufferData}async getData(t){switch(this.ensureValid(),this.dataLocation){case"cpu":case"cpu-pinned":return this.data;case"texture":case"gpu-buffer":{if(!this.downloader)throw new Error("The current tensor is not created with a specified data downloader.");if(this.isDownloading)throw new Error("The current tensor is being downloaded.");try{this.isDownloading=!0;let e=await this.downloader();return this.downloader=void 0,this.dataLocation="cpu",this.cpuData=e,t&&this.disposer&&(this.disposer(),this.disposer=void 0),e}finally{this.isDownloading=!1}}default:throw new Error(`cannot get data from location: ${this.dataLocation}`)}}dispose(){if(this.isDownloading)throw new Error("The current tensor is being downloaded.");this.disposer&&(this.disposer(),this.disposer=void 0),this.cpuData=void 0,this.gpuTextureData=void 0,this.gpuBufferData=void 0,this.downloader=void 0,this.isDownloading=void 0,this.dataLocation="none"}ensureValid(){if(this.dataLocation==="none")throw new Error("The tensor is disposed.")}reshape(t){if(this.ensureValid(),this.downloader||this.disposer)throw new Error("Cannot reshape a tensor that owns GPU resource.");return Lu(this,t)}}}),vt,ks=ee(()=>{Ss(),vt=qt}),jn,Es,Kt,Wt,Uu=ee(()=>{Mu(),jn=(t,e)=>{(typeof Ut.trace>"u"?!Ut.wasm.trace:!Ut.trace)||console.timeStamp(`${t}::ORT::${e}`)},Es=(t,e)=>{var a;let r=((a=new Error().stack)==null?void 0:a.split(/\r\n|\r|\n/g))||[],n=!1;for(let s=0;s{(typeof Ut.trace>"u"?!Ut.wasm.trace:!Ut.trace)||Es("BEGIN",t)},Wt=t=>{(typeof Ut.trace>"u"?!Ut.wasm.trace:!Ut.trace)||Es("END",t)}}),Wu,I0=ee(()=>{vs(),ks(),Uu(),Wu=class X_{constructor(e){this.handler=e}async run(e,r,n){Kt();let a={},s={};if(typeof e!="object"||e===null||e instanceof vt||Array.isArray(e))throw new TypeError("'feeds' must be an object that use input names as keys and OnnxValue as corresponding values.");let i=!0;if(typeof r=="object"){if(r===null)throw new TypeError("Unexpected argument[1]: cannot be null.");if(r instanceof vt)throw new TypeError("'fetches' cannot be a Tensor");if(Array.isArray(r)){if(r.length===0)throw new TypeError("'fetches' cannot be an empty array.");i=!1;for(let l of r){if(typeof l!="string")throw new TypeError("'fetches' must be a string array or an object.");if(this.outputNames.indexOf(l)===-1)throw new RangeError(`'fetches' contains invalid output name: ${l}.`);a[l]=null}if(typeof n=="object"&&n!==null)s=n;else if(typeof n<"u")throw new TypeError("'options' must be an object.")}else{let l=!1,c=Object.getOwnPropertyNames(r);for(let h of this.outputNames)if(c.indexOf(h)!==-1){let m=r[h];(m===null||m instanceof vt)&&(l=!0,i=!1,a[h]=m)}if(l){if(typeof n=="object"&&n!==null)s=n;else if(typeof n<"u")throw new TypeError("'options' must be an object.")}else s=r}}else if(typeof r<"u")throw new TypeError("Unexpected argument[1]: must be 'fetches' or 'options'.");for(let l of this.inputNames)if(typeof e[l]>"u")throw new Error(`input '${l}' is missing in 'feeds'.`);if(i)for(let l of this.outputNames)a[l]=null;let o=await this.handler.run(e,a,s),u={};for(let l in o)if(Object.hasOwnProperty.call(o,l)){let c=o[l];c instanceof vt?u[l]=c:u[l]=new vt(c.type,c.data,c.dims)}return Wt(),u}async release(){return this.handler.dispose()}static async create(e,r,n,a){Kt();let s,i={};if(typeof e=="string"){if(s=e,typeof r=="object"&&r!==null)i=r;else if(typeof r<"u")throw new TypeError("'options' must be an object.")}else if(e instanceof Uint8Array){if(s=e,typeof r=="object"&&r!==null)i=r;else if(typeof r<"u")throw new TypeError("'options' must be an object.")}else if(e instanceof ArrayBuffer||typeof SharedArrayBuffer<"u"&&e instanceof SharedArrayBuffer){let c=e,h=0,m=e.byteLength;if(typeof r=="object"&&r!==null)i=r;else if(typeof r=="number"){if(h=r,!Number.isSafeInteger(h))throw new RangeError("'byteOffset' must be an integer.");if(h<0||h>=c.byteLength)throw new RangeError(`'byteOffset' is out of range [0, ${c.byteLength}).`);if(m=e.byteLength-h,typeof n=="number"){if(m=n,!Number.isSafeInteger(m))throw new RangeError("'byteLength' must be an integer.");if(m<=0||h+m>c.byteLength)throw new RangeError(`'byteLength' is out of range (0, ${c.byteLength-h}].`);if(typeof a=="object"&&a!==null)i=a;else if(typeof a<"u")throw new TypeError("'options' must be an object.")}else if(typeof n<"u")throw new TypeError("'byteLength' must be a number.")}else if(typeof r<"u")throw new TypeError("'options' must be an object.");s=new Uint8Array(c,h,m)}else throw new TypeError("Unexpected argument[0]: must be 'path' or 'buffer'.");let[o,u]=await bs(i),l=await o.createInferenceSessionHandler(s,u);return Wt(),new X_(l)}startProfiling(){this.handler.startProfiling()}endProfiling(){this.handler.endProfiling()}get inputNames(){return this.handler.inputNames}get outputNames(){return this.handler.outputNames}}}),Cs,A0=ee(()=>{I0(),Cs=Wu}),M0=ee(()=>{}),O0=ee(()=>{}),z0=ee(()=>{}),R0=ee(()=>{}),Vu,Gu,P0=ee(()=>{vs(),ks(),Vu="Training backend could not be resolved. Make sure you're using the correct configuration & WebAssembly files.",Gu=class Q_{constructor(e,r,n){this.handler=e,this.hasOptimizerModel=r,this.hasEvalModel=n}get trainingInputNames(){return this.handler.inputNames}get trainingOutputNames(){return this.handler.outputNames}get evalInputNames(){if(this.hasEvalModel)return this.handler.evalInputNames;throw new Error("This training session has no evalModel loaded.")}get evalOutputNames(){if(this.hasEvalModel)return this.handler.evalOutputNames;throw new Error("This training session has no evalModel loaded.")}static async create(e,r){let n=e.evalModel||"",a=e.optimizerModel||"",s=r||{},[i,o]=await bs(s);if(i.createTrainingSessionHandler){let u=await i.createTrainingSessionHandler(e.checkpointState,e.trainModel,n,a,o);return new Q_(u,!!e.optimizerModel,!!e.evalModel)}else throw new Error(Vu)}typeNarrowingForRunStep(e,r,n,a,s){let i={},o={};if(typeof n!="object"||n===null||n instanceof vt||Array.isArray(n))throw new TypeError("'feeds' must be an object that use input names as keys and OnnxValue as corresponding values.");let u=!0;if(typeof a=="object"){if(a===null)throw new TypeError("Unexpected argument[1]: cannot be null.");if(a instanceof vt)throw new TypeError("'fetches' cannot be a Tensor");if(Array.isArray(a)){if(a.length===0)throw new TypeError("'fetches' cannot be an empty array.");u=!1;for(let l of a){if(typeof l!="string")throw new TypeError("'fetches' must be a string array or an object.");if(r.indexOf(l)===-1)throw new RangeError(`'fetches' contains invalid output name: ${l}.`);i[l]=null}if(typeof s=="object"&&s!==null)o=s;else if(typeof s<"u")throw new TypeError("'options' must be an object.")}else{let l=!1,c=Object.getOwnPropertyNames(a);for(let h of r)if(c.indexOf(h)!==-1){let m=a[h];(m===null||m instanceof vt)&&(l=!0,u=!1,i[h]=m)}if(l){if(typeof s=="object"&&s!==null)o=s;else if(typeof s<"u")throw new TypeError("'options' must be an object.")}else o=a}}else if(typeof a<"u")throw new TypeError("Unexpected argument[1]: must be 'fetches' or 'options'.");for(let l of e)if(typeof n[l]>"u")throw new Error(`input '${l}' is missing in 'feeds'.`);if(u)for(let l of r)i[l]=null;return[i,o]}convertHandlerReturnTypeToMapOfTensors(e){let r={};for(let n in e)if(Object.hasOwnProperty.call(e,n)){let a=e[n];a instanceof vt?r[n]=a:r[n]=new vt(a.type,a.data,a.dims)}return r}async lazyResetGrad(){await this.handler.lazyResetGrad()}async runTrainStep(e,r,n){let[a,s]=this.typeNarrowingForRunStep(this.trainingInputNames,this.trainingOutputNames,e,r,n),i=await this.handler.runTrainStep(e,a,s);return this.convertHandlerReturnTypeToMapOfTensors(i)}async runOptimizerStep(e){if(this.hasOptimizerModel)await this.handler.runOptimizerStep(e||{});else throw new Error("This TrainingSession has no OptimizerModel loaded.")}async runEvalStep(e,r,n){if(this.hasEvalModel){let[a,s]=this.typeNarrowingForRunStep(this.evalInputNames,this.evalOutputNames,e,r,n),i=await this.handler.runEvalStep(e,a,s);return this.convertHandlerReturnTypeToMapOfTensors(i)}else throw new Error("This TrainingSession has no EvalModel loaded.")}async getParametersSize(e=!0){return this.handler.getParametersSize(e)}async loadParametersBuffer(e,r=!0){let n=await this.getParametersSize(r);if(e.length!==4*n)throw new Error("Size of the buffer passed into loadParametersBuffer must match the number of parameters in the model. Please use getParametersSize method to check.");return this.handler.loadParametersBuffer(e,r)}async getContiguousParameters(e=!0){return this.handler.getContiguousParameters(e)}async release(){return this.handler.dispose()}}}),Ts,B0=ee(()=>{P0(),Ts=Gu}),Hu={};fn(Hu,{InferenceSession:()=>Cs,TRACE:()=>jn,TRACE_FUNC_BEGIN:()=>Kt,TRACE_FUNC_END:()=>Wt,Tensor:()=>vt,TrainingSession:()=>Ts,env:()=>Ue,registerBackend:()=>Wr});var Yt=ee(()=>{$0(),S0(),A0(),ks(),M0(),O0(),Uu(),z0(),R0(),B0()}),Is={};fn(Is,{createReadStream:()=>Ku,readFile:()=>ju,readFileSync:()=>qu});var ju,qu,Ku,Yu=ee(()=>{ju=void 0,qu=void 0,Ku=void 0}),As={};fn(As,{join:()=>Xu});var Xu,Qu=ee(()=>{Xu=void 0}),D0=hn((t,e)=>{var r=(()=>{var a;var n=typeof document<"u"?(a=document.currentScript)==null?void 0:a.src:void 0;return typeof __filename<"u"&&(n||(n=__filename)),function(s={}){var i=s,o,u,l=new Promise((f,w)=>{o=f,u=w});i.mountExternalData=(f,w)=>{(i.eb||(i.eb=new Map)).set(f,w)},i.unmountExternalData=()=>{delete i.eb};let c=()=>{let f=($,E,O)=>(...F)=>{let Y=Ot,re=E==null?void 0:E();F=$(...F);let le=E==null?void 0:E();return re!==le&&($=le,O(re),E=O=null),Ot!=Y?ts():F},w=$=>async(...E)=>{var O;try{if(i.cb)throw Error("Session already started");let F=i.cb={xb:E[0],errors:[]},Y=await $(...E);if(i.cb!==F)throw Error("Session mismatch");(O=i.kb)==null||O.flush();let re=F.errors;if(0ie),0i._OrtCreateSession,$=>i._OrtCreateSession=$),i._OrtRun=w(f(i._OrtRun,()=>i._OrtRun,$=>i._OrtRun=$)),i._OrtRunWithBinding=w(f(i._OrtRunWithBinding,()=>i._OrtRunWithBinding,$=>i._OrtRunWithBinding=$)),i._OrtBindInput=f(i._OrtBindInput,()=>i._OrtBindInput,$=>i._OrtBindInput=$),c=void 0};i.jsepInit=(f,w)=>{if(c==null||c(),f==="webgpu"){[i.kb,i.pb,i.tb,i.lb,i.sb,i.Ra,i.ub,i.wb,i.qb,i.rb,i.vb]=w;let $=i.kb;i.jsepRegisterBuffer=(E,O,F,Y)=>$.registerBuffer(E,O,F,Y),i.jsepGetBuffer=E=>$.getBuffer(E),i.jsepCreateDownloader=(E,O,F)=>$.createDownloader(E,O,F),i.jsepOnReleaseSession=E=>{$.onReleaseSession(E)},i.jsepOnRunStart=E=>$.onRunStart(E)}};var h=Object.assign({},i),m="./this.program",_=(f,w)=>{throw w},p=typeof window=="object",y=typeof importScripts=="function",v=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",S="",x,C,T;if(v){var I=(Yu(),Ur(Is)),R=(Qu(),Ur(As));S=y?R.dirname(S)+"/":__dirname+"/",x=(f,w)=>(f=ot(f)?new URL(f):R.normalize(f),I.readFileSync(f,w?void 0:"utf8")),T=f=>(f=x(f,!0),f.buffer||(f=new Uint8Array(f)),f),C=(f,w,$,E=!0)=>{f=ot(f)?new URL(f):R.normalize(f),I.readFile(f,E?void 0:"utf8",(O,F)=>{O?$(O):w(E?F.buffer:F)})},!i.thisProgram&&1{throw process.exitCode=f,w}}else(p||y)&&(y?S=self.location.href:typeof document<"u"&&document.currentScript&&(S=document.currentScript.src),n&&(S=n),S.startsWith("blob:")?S="":S=S.substr(0,S.replace(/[?#].*/,"").lastIndexOf("/")+1),x=f=>{var w=new XMLHttpRequest;return w.open("GET",f,!1),w.send(null),w.responseText},y&&(T=f=>{var w=new XMLHttpRequest;return w.open("GET",f,!1),w.responseType="arraybuffer",w.send(null),new Uint8Array(w.response)}),C=(f,w,$)=>{var E=new XMLHttpRequest;E.open("GET",f,!0),E.responseType="arraybuffer",E.onload=()=>{E.status==200||E.status==0&&E.response?w(E.response):$()},E.onerror=$,E.send(null)});var P=console.log.bind(console),G=console.error.bind(console);Object.assign(i,h),h=null;var j,K=!1,he,ne,te,se,D,M,V,q,ce,ue,B;function ae(){var f=j.buffer;i.HEAP8=ne=new Int8Array(f),i.HEAP16=se=new Int16Array(f),i.HEAPU8=te=new Uint8Array(f),i.HEAPU16=D=new Uint16Array(f),i.HEAP32=M=new Int32Array(f),i.HEAPU32=V=new Uint32Array(f),i.HEAPF32=q=new Float32Array(f),i.HEAPF64=B=new Float64Array(f),i.HEAP64=ce=new BigInt64Array(f),i.HEAPU64=ue=new BigUint64Array(f)}var de=[],Se=[],Te=[],Xe=0,it=null;function je(f){throw f="Aborted("+f+")",G(f),K=!0,he=1,f=new WebAssembly.RuntimeError(f+". Build with -sASSERTIONS for more info."),u(f),f}var ct=f=>f.startsWith("data:application/octet-stream;base64,"),ot=f=>f.startsWith("file://"),mt;if(mt="ort-wasm-simd.wasm",!ct(mt)){var We=mt;mt=i.locateFile?i.locateFile(We,S):S+We}function Qe(f){if(T)return T(f);throw"both async and sync fetching of the wasm failed"}function It(f){if(p||y){if(typeof fetch=="function"&&!ot(f))return fetch(f,{credentials:"same-origin"}).then(w=>{if(!w.ok)throw`failed to load wasm binary file at '${f}'`;return w.arrayBuffer()}).catch(()=>Qe(f));if(C)return new Promise((w,$)=>{C(f,E=>w(new Uint8Array(E)),$)})}return Promise.resolve().then(()=>Qe(f))}function ut(f,w,$){return It(f).then(E=>WebAssembly.instantiate(E,w)).then($,E=>{G(`failed to asynchronously prepare wasm: ${E}`),je(E)})}function xr(f,w){var $=mt;return typeof WebAssembly.instantiateStreaming!="function"||ct($)||ot($)||v||typeof fetch!="function"?ut($,f,w):fetch($,{credentials:"same-origin"}).then(E=>WebAssembly.instantiateStreaming(E,f).then(w,function(O){return G(`wasm streaming compile failed: ${O}`),G("falling back to ArrayBuffer instantiation"),ut($,f,w)}))}var Sr={824920:(f,w,$,E)=>{if(typeof i>"u"||!i.eb)return 1;if(f=Je(f>>>0),f.startsWith("./")&&(f=f.substring(2)),f=i.eb.get(f),!f)return 2;if(w>>>=0,$>>>=0,w+$>f.byteLength)return 3;try{return te.set(f.subarray(w,w+$),E>>>0>>>0),0}catch{return 4}},825421:()=>{i.qb()},825452:()=>{i.rb()},825481:()=>{i.vb()},825506:f=>i.pb(f),825539:f=>i.tb(f),825571:(f,w,$)=>{i.lb(f,w,$,!0)},825610:(f,w,$)=>{i.lb(f,w,$)},825643:f=>{i.Ra("Abs",f,void 0)},825694:f=>{i.Ra("Neg",f,void 0)},825745:f=>{i.Ra("Floor",f,void 0)},825798:f=>{i.Ra("Ceil",f,void 0)},825850:f=>{i.Ra("Reciprocal",f,void 0)},825908:f=>{i.Ra("Sqrt",f,void 0)},825960:f=>{i.Ra("Exp",f,void 0)},826011:f=>{i.Ra("Erf",f,void 0)},826062:f=>{i.Ra("Sigmoid",f,void 0)},826117:(f,w,$)=>{i.Ra("HardSigmoid",f,{alpha:w,beta:$})},826196:f=>{i.Ra("Log",f,void 0)},826247:f=>{i.Ra("Sin",f,void 0)},826298:f=>{i.Ra("Cos",f,void 0)},826349:f=>{i.Ra("Tan",f,void 0)},826400:f=>{i.Ra("Asin",f,void 0)},826452:f=>{i.Ra("Acos",f,void 0)},826504:f=>{i.Ra("Atan",f,void 0)},826556:f=>{i.Ra("Sinh",f,void 0)},826608:f=>{i.Ra("Cosh",f,void 0)},826660:f=>{i.Ra("Asinh",f,void 0)},826713:f=>{i.Ra("Acosh",f,void 0)},826766:f=>{i.Ra("Atanh",f,void 0)},826819:f=>{i.Ra("Tanh",f,void 0)},826871:f=>{i.Ra("Not",f,void 0)},826922:(f,w,$)=>{i.Ra("Clip",f,{min:w,max:$})},826991:f=>{i.Ra("Clip",f,void 0)},827043:(f,w)=>{i.Ra("Elu",f,{alpha:w})},827101:f=>{i.Ra("Relu",f,void 0)},827153:(f,w)=>{i.Ra("LeakyRelu",f,{alpha:w})},827217:(f,w)=>{i.Ra("ThresholdedRelu",f,{alpha:w})},827287:(f,w)=>{i.Ra("Cast",f,{to:w})},827345:f=>{i.Ra("Add",f,void 0)},827396:f=>{i.Ra("Sub",f,void 0)},827447:f=>{i.Ra("Mul",f,void 0)},827498:f=>{i.Ra("Div",f,void 0)},827549:f=>{i.Ra("Pow",f,void 0)},827600:f=>{i.Ra("Equal",f,void 0)},827653:f=>{i.Ra("Greater",f,void 0)},827708:f=>{i.Ra("GreaterOrEqual",f,void 0)},827770:f=>{i.Ra("Less",f,void 0)},827822:f=>{i.Ra("LessOrEqual",f,void 0)},827881:(f,w,$,E,O)=>{i.Ra("ReduceMean",f,{keepDims:!!w,noopWithEmptyAxes:!!$,axes:E?Array.from(M.subarray(E>>>0,O>>>0)):[]})},828040:(f,w,$,E,O)=>{i.Ra("ReduceMax",f,{keepDims:!!w,noopWithEmptyAxes:!!$,axes:E?Array.from(M.subarray(E>>>0,O>>>0)):[]})},828198:(f,w,$,E,O)=>{i.Ra("ReduceMin",f,{keepDims:!!w,noopWithEmptyAxes:!!$,axes:E?Array.from(M.subarray(E>>>0,O>>>0)):[]})},828356:(f,w,$,E,O)=>{i.Ra("ReduceProd",f,{keepDims:!!w,noopWithEmptyAxes:!!$,axes:E?Array.from(M.subarray(E>>>0,O>>>0)):[]})},828515:(f,w,$,E,O)=>{i.Ra("ReduceSum",f,{keepDims:!!w,noopWithEmptyAxes:!!$,axes:E?Array.from(M.subarray(E>>>0,O>>>0)):[]})},828673:(f,w,$,E,O)=>{i.Ra("ReduceL1",f,{keepDims:!!w,noopWithEmptyAxes:!!$,axes:E?Array.from(M.subarray(E>>>0,O>>>0)):[]})},828830:(f,w,$,E,O)=>{i.Ra("ReduceL2",f,{keepDims:!!w,noopWithEmptyAxes:!!$,axes:E?Array.from(M.subarray(E>>>0,O>>>0)):[]})},828987:(f,w,$,E,O)=>{i.Ra("ReduceLogSum",f,{keepDims:!!w,noopWithEmptyAxes:!!$,axes:E?Array.from(M.subarray(E>>>0,O>>>0)):[]})},829148:(f,w,$,E,O)=>{i.Ra("ReduceSumSquare",f,{keepDims:!!w,noopWithEmptyAxes:!!$,axes:E?Array.from(M.subarray(E>>>0,O>>>0)):[]})},829312:(f,w,$,E,O)=>{i.Ra("ReduceLogSumExp",f,{keepDims:!!w,noopWithEmptyAxes:!!$,axes:E?Array.from(M.subarray(E>>>0,O>>>0)):[]})},829476:f=>{i.Ra("Where",f,void 0)},829529:(f,w,$)=>{i.Ra("Transpose",f,{perm:w?Array.from(M.subarray(w>>>0,$>>>0)):[]})},829637:(f,w,$,E)=>{i.Ra("DepthToSpace",f,{blocksize:w,mode:Je($),format:E?"NHWC":"NCHW"})},829770:(f,w,$,E)=>{i.Ra("DepthToSpace",f,{blocksize:w,mode:Je($),format:E?"NHWC":"NCHW"})},829903:(f,w,$,E,O,F,Y,re,le,ie,ge,Be,Fe,L,Ee)=>{i.Ra("ConvTranspose",f,{format:le?"NHWC":"NCHW",autoPad:w,dilations:[$],group:E,kernelShape:[O],pads:[F,Y],strides:[re],wIsConst:()=>!!ne[ie>>>0],outputPadding:ge?Array.from(M.subarray(ge>>>0,Be>>>0)):[],outputShape:Fe?Array.from(M.subarray(Fe>>>0,L>>>0)):[],activation:Je(Ee)})},830304:(f,w,$,E,O,F,Y,re,le,ie,ge,Be,Fe,L)=>{i.Ra("ConvTranspose",f,{format:re?"NHWC":"NCHW",autoPad:w,dilations:Array.from(M.subarray($>>>0,($>>>0)+2>>>0)),group:E,kernelShape:Array.from(M.subarray(O>>>0,(O>>>0)+2>>>0)),pads:Array.from(M.subarray(F>>>0,(F>>>0)+4>>>0)),strides:Array.from(M.subarray(Y>>>0,(Y>>>0)+2>>>0)),wIsConst:()=>!!ne[le>>>0],outputPadding:ie?Array.from(M.subarray(ie>>>0,ge>>>0)):[],outputShape:Be?Array.from(M.subarray(Be>>>0,Fe>>>0)):[],activation:Je(L)})},830869:(f,w,$,E,O,F,Y,re,le,ie,ge,Be,Fe,L,Ee)=>{i.Ra("ConvTranspose",f,{format:le?"NHWC":"NCHW",autoPad:w,dilations:[$],group:E,kernelShape:[O],pads:[F,Y],strides:[re],wIsConst:()=>!!ne[ie>>>0],outputPadding:ge?Array.from(M.subarray(ge>>>0,Be>>>0)):[],outputShape:Fe?Array.from(M.subarray(Fe>>>0,L>>>0)):[],activation:Je(Ee)})},831270:(f,w,$,E,O,F,Y,re,le,ie,ge,Be,Fe,L)=>{i.Ra("ConvTranspose",f,{format:re?"NHWC":"NCHW",autoPad:w,dilations:Array.from(M.subarray($>>>0,($>>>0)+2>>>0)),group:E,kernelShape:Array.from(M.subarray(O>>>0,(O>>>0)+2>>>0)),pads:Array.from(M.subarray(F>>>0,(F>>>0)+4>>>0)),strides:Array.from(M.subarray(Y>>>0,(Y>>>0)+2>>>0)),wIsConst:()=>!!ne[le>>>0],outputPadding:ie?Array.from(M.subarray(ie>>>0,ge>>>0)):[],outputShape:Be?Array.from(M.subarray(Be>>>0,Fe>>>0)):[],activation:Je(L)})},831835:(f,w)=>{i.Ra("GlobalAveragePool",f,{format:w?"NHWC":"NCHW"})},831926:(f,w,$,E,O,F,Y,re,le,ie,ge,Be,Fe,L,Ee,Re)=>{i.Ra("AveragePool",f,{format:Re?"NHWC":"NCHW",auto_pad:w,ceil_mode:$,count_include_pad:E,storage_order:O,dilations:[F,Y],kernel_shape:[re,le],pads:[ie,ge,Be,Fe],strides:[L,Ee]})},832210:(f,w)=>{i.Ra("GlobalAveragePool",f,{format:w?"NHWC":"NCHW"})},832301:(f,w,$,E,O,F,Y,re,le,ie,ge,Be,Fe,L,Ee,Re)=>{i.Ra("AveragePool",f,{format:Re?"NHWC":"NCHW",auto_pad:w,ceil_mode:$,count_include_pad:E,storage_order:O,dilations:[F,Y],kernel_shape:[re,le],pads:[ie,ge,Be,Fe],strides:[L,Ee]})},832585:(f,w)=>{i.Ra("GlobalMaxPool",f,{format:w?"NHWC":"NCHW"})},832672:(f,w,$,E,O,F,Y,re,le,ie,ge,Be,Fe,L,Ee,Re)=>{i.Ra("MaxPool",f,{format:Re?"NHWC":"NCHW",auto_pad:w,ceil_mode:$,count_include_pad:E,storage_order:O,dilations:[F,Y],kernel_shape:[re,le],pads:[ie,ge,Be,Fe],strides:[L,Ee]})},832952:(f,w)=>{i.Ra("GlobalMaxPool",f,{format:w?"NHWC":"NCHW"})},833039:(f,w,$,E,O,F,Y,re,le,ie,ge,Be,Fe,L,Ee,Re)=>{i.Ra("MaxPool",f,{format:Re?"NHWC":"NCHW",auto_pad:w,ceil_mode:$,count_include_pad:E,storage_order:O,dilations:[F,Y],kernel_shape:[re,le],pads:[ie,ge,Be,Fe],strides:[L,Ee]})},833319:(f,w,$,E,O)=>{i.Ra("Gemm",f,{alpha:w,beta:$,transA:E,transB:O})},833423:f=>{i.Ra("MatMul",f,void 0)},833477:(f,w,$,E)=>{i.Ra("ArgMax",f,{keepDims:!!w,selectLastIndex:!!$,axis:E})},833585:(f,w,$,E)=>{i.Ra("ArgMin",f,{keepDims:!!w,selectLastIndex:!!$,axis:E})},833693:(f,w)=>{i.Ra("Softmax",f,{axis:w})},833756:(f,w)=>{i.Ra("Concat",f,{axis:w})},833816:(f,w,$,E,O)=>{i.Ra("Split",f,{axis:w,numOutputs:$,splitSizes:E?Array.from(M.subarray(E>>>0,O>>>0)):[]})},833956:f=>{i.Ra("Expand",f,void 0)},834010:(f,w)=>{i.Ra("Gather",f,{axis:Number(w)})},834081:(f,w)=>{i.Ra("GatherElements",f,{axis:Number(w)})},834160:(f,w,$,E,O,F,Y,re,le,ie,ge)=>{i.Ra("Resize",f,{antialias:w,axes:$?Array.from(M.subarray($>>>0,E>>>0)):[],coordinateTransformMode:Je(O),cubicCoeffA:F,excludeOutside:Y,extrapolationValue:re,keepAspectRatioPolicy:Je(le),mode:Je(ie),nearestMode:Je(ge)})},834506:(f,w,$,E,O,F,Y)=>{i.Ra("Slice",f,{starts:w?Array.from(M.subarray(w>>>0,$>>>0)):[],ends:E?Array.from(M.subarray(E>>>0,O>>>0)):[],axes:F?Array.from(M.subarray(F>>>0,Y>>>0)):[]})},834722:f=>{i.Ra("Tile",f,void 0)},834774:(f,w,$,E)=>{i.Ra("LayerNormalization",f,{axis:w,epsilon:$,simplified:!!E})},834885:(f,w,$)=>{i.Ra("InstanceNormalization",f,{epsilon:w,format:$?"NHWC":"NCHW"})},834999:(f,w,$)=>{i.Ra("InstanceNormalization",f,{epsilon:w,format:$?"NHWC":"NCHW"})},835113:f=>{i.Ra("Range",f,void 0)},835166:(f,w)=>{i.Ra("Einsum",f,{equation:Je(w)})},835247:(f,w,$,E,O)=>{i.Ra("Pad",f,{mode:w,value:$,pads:E?Array.from(M.subarray(E>>>0,O>>>0)):[]})},835374:(f,w,$,E,O,F)=>{i.Ra("BatchNormalization",f,{epsilon:w,momentum:$,spatial:!!O,trainingMode:!!E,format:F?"NHWC":"NCHW"})},835543:(f,w,$,E,O,F)=>{i.Ra("BatchNormalization",f,{epsilon:w,momentum:$,spatial:!!O,trainingMode:!!E,format:F?"NHWC":"NCHW"})},835712:(f,w,$)=>{i.Ra("CumSum",f,{exclusive:Number(w),reverse:Number($)})},835809:(f,w,$,E,O,F,Y,re,le)=>{i.Ra("Attention",f,{numHeads:w,isUnidirectional:$,maskFilterValue:E,scale:O,doRotary:F,qkvHiddenSizes:Y?Array.from(M.subarray(Number(re)>>>0,Number(re)+Y>>>0)):[],pastPresentShareBuffer:!!le})},836081:f=>{i.Ra("BiasAdd",f,void 0)},836136:f=>{i.Ra("BiasSplitGelu",f,void 0)},836197:f=>{i.Ra("FastGelu",f,void 0)},836253:(f,w,$,E,O,F,Y,re,le,ie,ge,Be,Fe)=>{i.Ra("Conv",f,{format:le?"NHWC":"NCHW",auto_pad:w,dilations:[$],group:E,kernel_shape:[O],pads:F?Array.from(M.subarray(F>>>0,Y>>>0)):[],strides:[re],w_is_const:()=>!!ne[ie>>>0],activation:Je(ge),activation_params:Be?Array.from(q.subarray(Be>>>0,Fe>>>0)):[]})},836623:(f,w,$,E,O,F,Y,re,le,ie,ge,Be,Fe,L,Ee,Re)=>{i.Ra("Conv",f,{format:Be?"NHWC":"NCHW",auto_pad:w,dilations:[$,E],group:O,kernel_shape:[F,Y],pads:re?Array.from(M.subarray(re>>>0,le>>>0)):[],strides:[ie,ge],w_is_const:()=>!!ne[Fe>>>0],activation:Je(L),activation_params:Ee?Array.from(q.subarray(Ee>>>0,Re>>>0)):[]})},837014:f=>{i.Ra("Gelu",f,void 0)},837066:(f,w,$,E,O,F)=>{i.Ra("MatMulNBits",f,{k:w,n:$,accuracyLevel:E,bits:O,blockSize:F})},837193:(f,w,$,E,O,F)=>{i.Ra("MultiHeadAttention",f,{numHeads:w,isUnidirectional:$,maskFilterValue:E,scale:O,doRotary:F})},837352:(f,w,$,E,O)=>{i.Ra("RotaryEmbedding",f,{interleaved:!!w,numHeads:$,rotaryEmbeddingDim:E,scale:O})},837491:(f,w,$)=>{i.Ra("SkipLayerNormalization",f,{epsilon:w,simplified:!!$})},837593:(f,w,$)=>{i.Ra("SkipLayerNormalization",f,{epsilon:w,simplified:!!$})},837695:(f,w,$,E)=>{i.Ra("LayerNormalization",f,{axis:w,epsilon:$,simplified:!!E})},837806:f=>{i.ub(f)},837840:(f,w)=>i.wb(f,w,i.cb.xb,i.cb.errors)};function sn(f){this.name="ExitStatus",this.message=`Program terminated with exit(${f})`,this.status=f}class nu{constructor(w){this.hb=w-24}}var kr=0,Dr=typeof TextDecoder<"u"?new TextDecoder("utf8"):void 0,Ia=(f,w,$)=>{w>>>=0;var E=w+$;for($=w;f[$]&&!($>=E);)++$;if(16<$-w&&f.buffer&&Dr)return Dr.decode(f.subarray(w,$));for(E="";w<$;){var O=f[w++];if(O&128){var F=f[w++]&63;if((O&224)==192)E+=String.fromCharCode((O&31)<<6|F);else{var Y=f[w++]&63;O=(O&240)==224?(O&15)<<12|F<<6|Y:(O&7)<<18|F<<12|Y<<6|f[w++]&63,65536>O?E+=String.fromCharCode(O):(O-=65536,E+=String.fromCharCode(55296|O>>10,56320|O&1023))}}else E+=String.fromCharCode(O)}return E},Je=(f,w)=>(f>>>=0)?Ia(te,f,w):"",In=f=>{for(var w=0,$=0;$=E?w++:2047>=E?w+=2:55296<=E&&57343>=E?(w+=4,++$):w+=3}return w},jt=(f,w,$,E)=>{if($>>>=0,!(0=Y){var re=f.charCodeAt(++F);Y=65536+((Y&1023)<<10)|re&1023}if(127>=Y){if($>=E)break;w[$++>>>0]=Y}else{if(2047>=Y){if($+1>=E)break;w[$++>>>0]=192|Y>>6}else{if(65535>=Y){if($+2>=E)break;w[$++>>>0]=224|Y>>12}else{if($+3>=E)break;w[$++>>>0]=240|Y>>18,w[$++>>>0]=128|Y>>12&63}w[$++>>>0]=128|Y>>6&63}w[$++>>>0]=128|Y&63}}return w[$>>>0]=0,$-O},Nr,Dt=f=>{for(var w="";te[f>>>0];)w+=Nr[te[f++>>>0]];return w},Aa={},An={},hr;function Ma(f,w,$={}){var E=w.name;if(!f)throw new hr(`type "${E}" must have a positive integer typeid pointer`);if(An.hasOwnProperty(f)){if($.nb)return;throw new hr(`Cannot register type '${E}' twice`)}An[f]=w,Aa.hasOwnProperty(f)&&(w=Aa[f],delete Aa[f],w.forEach(O=>O()))}function At(f,w,$={}){if(!("argPackAdvance"in w))throw new TypeError("registerType registeredInstance requires argPackAdvance");return Ma(f,w,$)}var Mn=(f,w,$)=>{switch(w){case 1:return $?E=>ne[E>>>0]:E=>te[E>>>0];case 2:return $?E=>se[E>>>1>>>0]:E=>D[E>>>1>>>0];case 4:return $?E=>M[E>>>2>>>0]:E=>V[E>>>2>>>0];case 8:return $?E=>ce[E>>>3]:E=>ue[E>>>3];default:throw new TypeError(`invalid integer width (${w}): ${f}`)}},On=[],pt=[];function Oa(f){f>>>=0,9{if(!f)throw new hr("Cannot use deleted val. handle = "+f);return pt[f]},Mt=f=>{switch(f){case void 0:return 2;case null:return 4;case!0:return 6;case!1:return 8;default:let w=On.pop()||pt.length;return pt[w]=f,pt[w+1]=1,w}};function on(f){return this.fromWireType(V[f>>>2>>>0])}var au={name:"emscripten::val",fromWireType:f=>{var w=ze(f);return Oa(f),w},toWireType:(f,w)=>Mt(w),argPackAdvance:8,readValueFromPointer:on,bb:null},qi=(f,w)=>{switch(w){case 4:return function($){return this.fromWireType(q[$>>>2>>>0])};case 8:return function($){return this.fromWireType(B[$>>>3>>>0])};default:throw new TypeError(`invalid float width (${w}): ${f}`)}},Ki=typeof TextDecoder<"u"?new TextDecoder("utf-16le"):void 0,ve=(f,w)=>{for(var $=f>>1,E=$+w/2;!($>=E)&&D[$>>>0];)++$;if($<<=1,32<$-f&&Ki)return Ki.decode(te.subarray(f>>>0,$>>>0));for($="",E=0;!(E>=w/2);++E){var O=se[f+2*E>>>1>>>0];if(O==0)break;$+=String.fromCharCode(O)}return $},zn=(f,w,$)=>{if($??($=2147483647),2>$)return 0;$-=2;var E=w;$=$<2*f.length?$/2:f.length;for(var O=0;O<$;++O)se[w>>>1>>>0]=f.charCodeAt(O),w+=2;return se[w>>>1>>>0]=0,w-E},Yi=f=>2*f.length,iu=(f,w)=>{for(var $=0,E="";!($>=w/4);){var O=M[f+4*$>>>2>>>0];if(O==0)break;++$,65536<=O?(O-=65536,E+=String.fromCharCode(55296|O>>10,56320|O&1023)):E+=String.fromCharCode(O)}return E},Xi=(f,w,$)=>{if(w>>>=0,$??($=2147483647),4>$)return 0;var E=w;$=E+$-4;for(var O=0;O=F){var Y=f.charCodeAt(++O);F=65536+((F&1023)<<10)|Y&1023}if(M[w>>>2>>>0]=F,w+=4,w+4>$)break}return M[w>>>2>>>0]=0,w-E},Qi=f=>{for(var w=0,$=0;$=E&&++$,w+=4}return w},Rn=(f,w)=>{var $=An[f];if($===void 0)throw f=Wa(f),$=Dt(f),kt(f),new hr(`${w} has unknown type ${$}`);return $},za=(f,w,$)=>{var E=[];return f=f.toWireType(E,$),E.length&&(V[w>>>2>>>0]=Mt(E)),f},un=f=>{try{f()}catch(w){je(w)}},st=f=>{var w;if(!K)try{f();try{he=he=f=he,(w=i.onExit)==null||w.call(i,f),K=!0,_(f,new sn(f))}catch($){$ instanceof sn||$=="unwind"||_(1,$)}}catch($){$ instanceof sn||$=="unwind"||_(1,$)}};function Ji(){var f=be,w={};for(let[$,E]of Object.entries(f))w[$]=typeof E=="function"?(...O)=>{sr.push($);try{return E(...O)}finally{K||(sr.pop(),Ot&&ir===1&&sr.length===0&&(ir=0,un(us),typeof Fibers<"u"&&Fibers.Db()))}}:E;return w}var ir=0,Ot=null,Ra=0,sr=[],Pa={},Ba={},Zi=0,Pn=null,es=[];function ts(){return new Promise((f,w)=>{Pn={resolve:f,reject:w}})}function rs(){var f=Fr(65548),w=f+12;V[f>>>2>>>0]=w,V[f+4>>>2>>>0]=w+65536,w=sr[0];var $=Pa[w];return $===void 0&&($=Zi++,Pa[w]=$,Ba[$]=w),M[f+8>>>2>>>0]=$,f}function ns(f){if(!K){if(ir===0){var w=!1,$=!1;f((E=0)=>{if(!K&&(Ra=E,w=!0,$)){ir=2,un(()=>ur(Ot)),typeof Browser<"u"&&Browser.ib.mb&&Browser.ib.resume(),E=!1;try{var O=(0,be[Ba[M[Ot+8>>>2>>>0]]])()}catch(re){O=re,E=!0}var F=!1;if(!Ot){var Y=Pn;Y&&(Pn=null,(E?Y.reject:Y.resolve)(O),F=!0)}if(E&&!F)throw O}}),$=!0,w||(ir=1,Ot=rs(),typeof Browser<"u"&&Browser.ib.mb&&Browser.ib.pause(),un(()=>cn(Ot)))}else ir===2?(ir=0,un(Lt),kt(Ot),Ot=null,es.forEach(st)):je(`invalid state: ${ir}`);return Ra}}function Da(f){return ns(w=>{f().then(w)})}var ln=[],as={},Bn=f=>{var w=as[f];return w===void 0?Dt(f):w},Nt=()=>typeof globalThis=="object"?globalThis:Function("return this")(),Na=f=>{var w=ln.length;return ln.push(f),w},Fa=(f,w)=>{for(var $=Array(f),E=0;E>>2>>>0],"parameter "+E);return $},or=(f,w)=>Object.defineProperty(w,"name",{value:f});function su(f){var w=Function;if(!(w instanceof Function))throw new TypeError(`new_ called with constructor type ${typeof w} which is not a function`);var $=or(w.name||"unknownFunctionName",function(){});return $.prototype=w.prototype,$=new $,f=w.apply($,f),f instanceof Object?f:$}var wt=f=>f%4===0&&(f%100!==0||f%400===0),La=[0,31,60,91,121,152,182,213,244,274,305,335],Dn=[0,31,59,90,120,151,181,212,243,273,304,334],Ft=[],Nn=(f,w)=>{Ft.length=0;for(var $;$=te[f++>>>0];){var E=$!=105;E&=$!=112,w+=E&&w%8?4:0,Ft.push($==112?V[w>>>2>>>0]:$==106?ce[w>>>3]:$==105?M[w>>>2>>>0]:B[w>>>3>>>0]),w+=E?8:4}return Ft},ht={},zt=()=>{if(!dn){var f={USER:"web_user",LOGNAME:"web_user",PATH:"/",PWD:"/",HOME:"/home/web_user",LANG:(typeof navigator=="object"&&navigator.languages&&navigator.languages[0]||"C").replace("-","_")+".UTF-8",_:m||"./this.program"},w;for(w in ht)ht[w]===void 0?delete f[w]:f[w]=ht[w];var $=[];for(w in f)$.push(`${w}=${f[w]}`);dn=$}return dn},dn,ou=[null,[],[]],is=[31,29,31,30,31,30,31,31,30,31,30,31],Ua=[31,28,31,30,31,30,31,31,30,31,30,31];function uu(f){var w=Array(In(f)+1);return jt(f,w,0,w.length),w}function ss(f,w,$,E){function O(L,Ee,Re){for(L=typeof L=="number"?L.toString():L||"";L.lengthTr?-1:0Cr-L.getDate())Ee-=Cr-L.getDate()+1,L.setDate(1),11>Re?L.setMonth(Re+1):(L.setMonth(0),L.setFullYear(L.getFullYear()+1));else{L.setDate(L.getDate()+Ee);break}}return Re=new Date(L.getFullYear()+1,0,4),Ee=re(new Date(L.getFullYear(),0,4)),Re=re(Re),0>=Y(Ee,L)?0>=Y(Re,L)?L.getFullYear()+1:L.getFullYear():L.getFullYear()-1}f>>>=0,w>>>=0,$>>>=0,E>>>=0;var ie=V[E+40>>>2>>>0];E={Ab:M[E>>>2>>>0],zb:M[E+4>>>2>>>0],fb:M[E+8>>>2>>>0],jb:M[E+12>>>2>>>0],gb:M[E+16>>>2>>>0],ab:M[E+20>>>2>>>0],Va:M[E+24>>>2>>>0],$a:M[E+28>>>2>>>0],Cb:M[E+32>>>2>>>0],yb:M[E+36>>>2>>>0],Bb:ie?Je(ie):""},$=Je($),ie={"%c":"%a %b %d %H:%M:%S %Y","%D":"%m/%d/%y","%F":"%Y-%m-%d","%h":"%b","%r":"%I:%M:%S %p","%R":"%H:%M","%T":"%H:%M:%S","%x":"%m/%d/%y","%X":"%H:%M:%S","%Ec":"%c","%EC":"%C","%Ex":"%m/%d/%y","%EX":"%H:%M:%S","%Ey":"%y","%EY":"%Y","%Od":"%d","%Oe":"%e","%OH":"%H","%OI":"%I","%Om":"%m","%OM":"%M","%OS":"%S","%Ou":"%u","%OU":"%U","%OV":"%V","%Ow":"%w","%OW":"%W","%Oy":"%y"};for(var ge in ie)$=$.replace(new RegExp(ge,"g"),ie[ge]);var Be="Sunday Monday Tuesday Wednesday Thursday Friday Saturday".split(" "),Fe="January February March April May June July August September October November December".split(" ");ie={"%a":L=>Be[L.Va].substring(0,3),"%A":L=>Be[L.Va],"%b":L=>Fe[L.gb].substring(0,3),"%B":L=>Fe[L.gb],"%C":L=>F((L.ab+1900)/100|0,2),"%d":L=>F(L.jb,2),"%e":L=>O(L.jb,2," "),"%g":L=>le(L).toString().substring(2),"%G":le,"%H":L=>F(L.fb,2),"%I":L=>(L=L.fb,L==0?L=12:12{for(var Ee=0,Re=0;Re<=L.gb-1;Ee+=(wt(L.ab+1900)?is:Ua)[Re++]);return F(L.jb+Ee,3)},"%m":L=>F(L.gb+1,2),"%M":L=>F(L.zb,2),"%n":()=>` +`,"%p":L=>0<=L.fb&&12>L.fb?"AM":"PM","%S":L=>F(L.Ab,2),"%t":()=>" ","%u":L=>L.Va||7,"%U":L=>F(Math.floor((L.$a+7-L.Va)/7),2),"%V":L=>{var Ee=Math.floor((L.$a+7-(L.Va+6)%7)/7);if(2>=(L.Va+371-L.$a-2)%7&&Ee++,Ee)Ee==53&&(Re=(L.Va+371-L.$a)%7,Re==4||Re==3&&wt(L.ab)||(Ee=1));else{Ee=52;var Re=(L.Va+7-L.$a-1)%7;(Re==4||Re==5&&wt(L.ab%400-1))&&Ee++}return F(Ee,2)},"%w":L=>L.Va,"%W":L=>F(Math.floor((L.$a+7-(L.Va+6)%7)/7),2),"%y":L=>(L.ab+1900).toString().substring(2),"%Y":L=>L.ab+1900,"%z":L=>{L=L.yb;var Ee=0<=L;return L=Math.abs(L)/60,(Ee?"+":"-")+("0000"+(L/60*100+L%60)).slice(-4)},"%Z":L=>L.Bb,"%%":()=>"%"},$=$.replace(/%%/g,"\0\0");for(ge in ie)$.includes(ge)&&($=$.replace(new RegExp(ge,"g"),ie[ge](E)));return $=$.replace(/\0\0/g,"%"),ge=uu($),ge.length>w?0:(ne.set(ge,f>>>0),ge.length-1)}for(var os=Array(256),Fn=0;256>Fn;++Fn)os[Fn]=String.fromCharCode(Fn);Nr=os,hr=i.BindingError=class extends Error{constructor(f){super(f),this.name="BindingError"}},i.InternalError=class extends Error{constructor(f){super(f),this.name="InternalError"}},pt.push(0,1,void 0,1,null,1,!0,1,!1,1),i.count_emval_handles=()=>pt.length/2-5-On.length;var lu={ia:function(f,w,$){return Da(async()=>{await i.sb(f,w,$)})},a:function(f,w,$){f>>>=0;var E=new nu(f);throw V[E.hb+16>>>2>>>0]=0,V[E.hb+4>>>2>>>0]=w>>>0,V[E.hb+8>>>2>>>0]=$>>>0,kr=f,kr},y:function(){return 0},ea:function(){},R:function(){},T:function(){},ga:function(){return 0},ca:function(){},Z:function(){},ba:function(){},G:function(){},S:function(){},P:function(){},da:function(){},Q:function(){},C:function(f,w,$){w=Dt(w>>>0),At(f>>>0,{name:w,fromWireType:E=>E,toWireType:function(E,O){if(typeof O!="bigint"&&typeof O!="number")throw O===null?O="null":(E=typeof O,O=E==="object"||E==="array"||E==="function"?O.toString():""+O),new TypeError(`Cannot convert "${O}" to ${this.name}`);return typeof O=="number"&&(O=BigInt(O)),O},argPackAdvance:8,readValueFromPointer:Mn(w,$>>>0,w.indexOf("u")==-1),bb:null})},K:function(f,w,$,E){w=Dt(w>>>0),At(f>>>0,{name:w,fromWireType:function(O){return!!O},toWireType:function(O,F){return F?$:E},argPackAdvance:8,readValueFromPointer:function(O){return this.fromWireType(te[O>>>0])},bb:null})},J:function(f){return At(f>>>0,au)},B:function(f,w,$){w=Dt(w>>>0),At(f>>>0,{name:w,fromWireType:E=>E,toWireType:(E,O)=>O,argPackAdvance:8,readValueFromPointer:qi(w,$>>>0),bb:null})},s:function(f,w,$,E,O){if(f>>>=0,$>>>=0,w=Dt(w>>>0),O===-1&&(O=4294967295),O=re=>re,E===0){var F=32-8*$;O=re=>re<>>F}var Y=w.includes("unsigned")?function(re,le){return le>>>0}:function(re,le){return le};At(f,{name:w,fromWireType:O,toWireType:Y,argPackAdvance:8,readValueFromPointer:Mn(w,$,E!==0),bb:null})},o:function(f,w,$){function E(F){return new O(ne.buffer,V[F+4>>>2>>>0],V[F>>>2>>>0])}var O=[Int8Array,Uint8Array,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array,BigInt64Array,BigUint64Array][w];$=Dt($>>>0),At(f>>>0,{name:$,fromWireType:E,argPackAdvance:8,readValueFromPointer:E},{nb:!0})},D:function(f,w){w=Dt(w>>>0);var $=w==="std::string";At(f>>>0,{name:w,fromWireType:function(E){var O=V[E>>>2>>>0],F=E+4;if($)for(var Y=F,re=0;re<=O;++re){var le=F+re;if(re==O||te[le>>>0]==0){if(Y=Je(Y,le-Y),ie===void 0)var ie=Y;else ie+="\0",ie+=Y;Y=le+1}}else{for(ie=Array(O),re=0;re>>0]);ie=ie.join("")}return kt(E),ie},toWireType:function(E,O){O instanceof ArrayBuffer&&(O=new Uint8Array(O));var F=typeof O=="string";if(!(F||O instanceof Uint8Array||O instanceof Uint8ClampedArray||O instanceof Int8Array))throw new hr("Cannot pass non-string to std::string");var Y=$&&F?In(O):O.length,re=Fr(4+Y+1),le=re+4;if(V[re>>>2>>>0]=Y,$&&F)jt(O,te,le,Y+1);else if(F)for(F=0;F>>0]=ie}else for(F=0;F>>0]=O[F];return E!==null&&E.push(kt,re),re},argPackAdvance:8,readValueFromPointer:on,bb(E){kt(E)}})},x:function(f,w,$){if(w>>>=0,$>>>=0,$=Dt($),w===2)var E=ve,O=zn,F=Yi,Y=re=>D[re>>>1>>>0];else w===4&&(E=iu,O=Xi,F=Qi,Y=re=>V[re>>>2>>>0]);At(f>>>0,{name:$,fromWireType:re=>{for(var le=V[re>>>2>>>0],ie,ge=re+4,Be=0;Be<=le;++Be){var Fe=re+4+Be*w;(Be==le||Y(Fe)==0)&&(ge=E(ge,Fe-ge),ie===void 0?ie=ge:(ie+="\0",ie+=ge),ge=Fe+w)}return kt(re),ie},toWireType:(re,le)=>{if(typeof le!="string")throw new hr(`Cannot pass non-string to C++ string type ${$}`);var ie=F(le),ge=Fr(4+ie+w);return V[ge>>>2>>>0]=ie/w,O(le,ge+4,ie+w),re!==null&&re.push(kt,ge),ge},argPackAdvance:8,readValueFromPointer:on,bb(re){kt(re)}})},L:function(f,w){w=Dt(w>>>0),At(f>>>0,{ob:!0,name:w,argPackAdvance:0,fromWireType:()=>{},toWireType:()=>{}})},ha:()=>1,u:function(f,w,$){return w>>>=0,$>>>=0,f=ze(f>>>0),w=Rn(w,"emval::as"),za(w,$,f)},w:function(f){return f>>>=0,Da(()=>(f=ze(f),f.then(Mt)))},n:function(f,w,$,E){return $>>>=0,E>>>=0,f=ln[f>>>0],w=ze(w>>>0),f(null,w,$,E)},j:function(f,w,$,E,O){return $>>>=0,E>>>=0,O>>>=0,f=ln[f>>>0],w=ze(w>>>0),$=Bn($),f(w,w[$],E,O)},b:Oa,A:function(f,w){return w>>>=0,f=ze(f>>>0),w=ze(w),f==w},m:function(f){return f>>>=0,f===0?Mt(Nt()):(f=Bn(f),Mt(Nt()[f]))},i:function(f,w,$){w=Fa(f,w>>>0);var E=w.shift();f--;var O=`return function (obj, func, destructorsRef, args) { +`,F=0,Y=[];$===0&&Y.push("obj");for(var re=["retType"],le=[E],ie=0;iege.name).join(", ")}) => ${E.name}>`,Na(or($,f))},r:function(f,w){return w>>>=0,f=ze(f>>>0),w=ze(w),Mt(f[w])},e:function(f){f>>>=0,9>>0);for(var w=Array(f.length),$=0;$>>0))},k:function(){return Mt({})},h:function(f){f>>>=0;for(var w=ze(f);w.length;){var $=w.pop();w.pop()($)}Oa(f)},g:function(f,w,$){w>>>=0,$>>>=0,f=ze(f>>>0),w=ze(w),$=ze($),f[w]=$},c:function(f,w){return w>>>=0,f=Rn(f>>>0,"_emval_take_value"),f=f.readValueFromPointer(w),Mt(f)},W:function(f,w){f=-9007199254740992>f||9007199254740992>>=0,f=new Date(1e3*f),M[w>>>2>>>0]=f.getUTCSeconds(),M[w+4>>>2>>>0]=f.getUTCMinutes(),M[w+8>>>2>>>0]=f.getUTCHours(),M[w+12>>>2>>>0]=f.getUTCDate(),M[w+16>>>2>>>0]=f.getUTCMonth(),M[w+20>>>2>>>0]=f.getUTCFullYear()-1900,M[w+24>>>2>>>0]=f.getUTCDay(),M[w+28>>>2>>>0]=(f.getTime()-Date.UTC(f.getUTCFullYear(),0,1,0,0,0,0))/864e5|0},X:function(f,w){f=-9007199254740992>f||9007199254740992>>=0,f=new Date(1e3*f),M[w>>>2>>>0]=f.getSeconds(),M[w+4>>>2>>>0]=f.getMinutes(),M[w+8>>>2>>>0]=f.getHours(),M[w+12>>>2>>>0]=f.getDate(),M[w+16>>>2>>>0]=f.getMonth(),M[w+20>>>2>>>0]=f.getFullYear()-1900,M[w+24>>>2>>>0]=f.getDay(),M[w+28>>>2>>>0]=(wt(f.getFullYear())?La:Dn)[f.getMonth()]+f.getDate()-1|0,M[w+36>>>2>>>0]=-(60*f.getTimezoneOffset());var $=new Date(f.getFullYear(),6,1).getTimezoneOffset(),E=new Date(f.getFullYear(),0,1).getTimezoneOffset();M[w+32>>>2>>>0]=($!=E&&f.getTimezoneOffset()==Math.min(E,$))|0},Y:function(f){f>>>=0;var w=new Date(M[f+20>>>2>>>0]+1900,M[f+16>>>2>>>0],M[f+12>>>2>>>0],M[f+8>>>2>>>0],M[f+4>>>2>>>0],M[f>>>2>>>0],0),$=M[f+32>>>2>>>0],E=w.getTimezoneOffset(),O=new Date(w.getFullYear(),6,1).getTimezoneOffset(),F=new Date(w.getFullYear(),0,1).getTimezoneOffset(),Y=Math.min(F,O);return 0>$?M[f+32>>>2>>>0]=+(O!=F&&Y==E):0<$!=(Y==E)&&(O=Math.max(F,O),w.setTime(w.getTime()+6e4*((0<$?Y:O)-E))),M[f+24>>>2>>>0]=w.getDay(),M[f+28>>>2>>>0]=(wt(w.getFullYear())?La:Dn)[w.getMonth()]+w.getDate()-1|0,M[f>>>2>>>0]=w.getSeconds(),M[f+4>>>2>>>0]=w.getMinutes(),M[f+8>>>2>>>0]=w.getHours(),M[f+12>>>2>>>0]=w.getDate(),M[f+16>>>2>>>0]=w.getMonth(),M[f+20>>>2>>>0]=w.getYear(),f=w.getTime(),BigInt(isNaN(f)?-1:f/1e3)},U:function(){return-52},V:function(){},N:function(f,w,$,E){$>>>=0,E>>>=0;var O=new Date().getFullYear(),F=new Date(O,0,1),Y=new Date(O,6,1);O=F.getTimezoneOffset();var re=Y.getTimezoneOffset();V[f>>>0>>>2>>>0]=60*Math.max(O,re),M[w>>>0>>>2>>>0]=+(O!=re),f=le=>le.toLocaleTimeString(void 0,{hour12:!1,timeZoneName:"short"}).split(" ")[1],F=f(F),Y=f(Y),re{je("")},d:function(f,w,$){return f>>>=0,w=Nn(w>>>0,$>>>0),Sr[f](...w)},I:function(f,w,$){return f>>>=0,w=Nn(w>>>0,$>>>0),Sr[f](...w)},H:()=>Date.now(),O:function(){return 4294901760},q:()=>performance.now(),M:function(f){f>>>=0;var w=te.length;if(4294901760=$;$*=2){var E=w*(1+.2/$);E=Math.min(E,f+100663296);var O=Math;E=Math.max(f,E);e:{O=(O.min.call(O,4294901760,E+(65536-E%65536)%65536)-j.buffer.byteLength+65535)/65536;try{j.grow(O),ae();var F=1;break e}catch{}F=void 0}if(F)return!0}return!1},$:function(f,w){f>>>=0,w>>>=0;var $=0;return zt().forEach((E,O)=>{var F=w+$;for(O=V[f+4*O>>>2>>>0]=F,F=0;F>>0]=E.charCodeAt(F);ne[O>>>0]=0,$+=E.length+1}),0},aa:function(f,w){f>>>=0,w>>>=0;var $=zt();V[f>>>2>>>0]=$.length;var E=0;return $.forEach(O=>E+=O.length+1),V[w>>>2>>>0]=E,0},z:()=>52,F:function(){return 52},_:function(){return 70},E:function(f,w,$,E){w>>>=0,$>>>=0,E>>>=0;for(var O=0,F=0;F<$;F++){var Y=V[w>>>2>>>0],re=V[w+4>>>2>>>0];w+=8;for(var le=0;le>>0],ge=ou[f];ie===0||ie===10?((f===1?P:G)(Ia(ge,0)),ge.length=0):ge.push(ie)}O+=re}return V[E>>>2>>>0]=O,0},fa:ss,p:function(f,w,$,E){return ss(f>>>0,w>>>0,$>>>0,E>>>0)}},be=function(){function f($){return be=$.exports,be=Ji(),be=ls(),j=be.ja,ae(),Se.unshift(be.ka),Xe--,Xe==0&&it&&($=it,it=null,$()),be}var w={a:lu};if(Xe++,i.instantiateWasm)try{return i.instantiateWasm(w,f)}catch($){G(`Module.instantiateWasm callback failed with error: ${$}`),u($)}return xr(w,function($){f($.instance)}).catch(u),{}}(),Wa=f=>(Wa=be.la)(f);i._OrtInit=(f,w)=>(i._OrtInit=be.ma)(f,w),i._OrtGetLastError=(f,w)=>(i._OrtGetLastError=be.na)(f,w),i._OrtCreateSessionOptions=(f,w,$,E,O,F,Y,re,le,ie)=>(i._OrtCreateSessionOptions=be.oa)(f,w,$,E,O,F,Y,re,le,ie),i._OrtAppendExecutionProvider=(f,w)=>(i._OrtAppendExecutionProvider=be.pa)(f,w),i._OrtAddFreeDimensionOverride=(f,w,$)=>(i._OrtAddFreeDimensionOverride=be.qa)(f,w,$),i._OrtAddSessionConfigEntry=(f,w,$)=>(i._OrtAddSessionConfigEntry=be.ra)(f,w,$),i._OrtReleaseSessionOptions=f=>(i._OrtReleaseSessionOptions=be.sa)(f),i._OrtCreateSession=(f,w,$)=>(i._OrtCreateSession=be.ta)(f,w,$),i._OrtReleaseSession=f=>(i._OrtReleaseSession=be.ua)(f),i._OrtGetInputOutputCount=(f,w,$)=>(i._OrtGetInputOutputCount=be.va)(f,w,$),i._OrtGetInputName=(f,w)=>(i._OrtGetInputName=be.wa)(f,w),i._OrtGetOutputName=(f,w)=>(i._OrtGetOutputName=be.xa)(f,w),i._OrtFree=f=>(i._OrtFree=be.ya)(f),i._OrtCreateTensor=(f,w,$,E,O,F)=>(i._OrtCreateTensor=be.za)(f,w,$,E,O,F),i._OrtGetTensorData=(f,w,$,E,O)=>(i._OrtGetTensorData=be.Aa)(f,w,$,E,O),i._OrtReleaseTensor=f=>(i._OrtReleaseTensor=be.Ba)(f),i._OrtCreateRunOptions=(f,w,$,E)=>(i._OrtCreateRunOptions=be.Ca)(f,w,$,E),i._OrtAddRunConfigEntry=(f,w,$)=>(i._OrtAddRunConfigEntry=be.Da)(f,w,$),i._OrtReleaseRunOptions=f=>(i._OrtReleaseRunOptions=be.Ea)(f),i._OrtCreateBinding=f=>(i._OrtCreateBinding=be.Fa)(f),i._OrtBindInput=(f,w,$)=>(i._OrtBindInput=be.Ga)(f,w,$),i._OrtBindOutput=(f,w,$,E)=>(i._OrtBindOutput=be.Ha)(f,w,$,E),i._OrtClearBoundOutputs=f=>(i._OrtClearBoundOutputs=be.Ia)(f),i._OrtReleaseBinding=f=>(i._OrtReleaseBinding=be.Ja)(f),i._OrtRunWithBinding=(f,w,$,E,O)=>(i._OrtRunWithBinding=be.Ka)(f,w,$,E,O),i._OrtRun=(f,w,$,E,O,F,Y,re)=>(i._OrtRun=be.La)(f,w,$,E,O,F,Y,re),i._OrtEndProfiling=f=>(i._OrtEndProfiling=be.Ma)(f),i._JsepOutput=(f,w,$)=>(i._JsepOutput=be.Na)(f,w,$),i._JsepGetNodeName=f=>(i._JsepGetNodeName=be.Oa)(f);var Fr=i._malloc=f=>(Fr=i._malloc=be.Pa)(f),kt=i._free=f=>(kt=i._free=be.Qa)(f),Ln=f=>(Ln=be.Sa)(f),Un=f=>(Un=be.Ta)(f),Va=()=>(Va=be.Ua)(),cn=f=>(cn=be.Wa)(f),us=()=>(us=be.Xa)(),ur=f=>(ur=be.Ya)(f),Lt=()=>(Lt=be.Za)();i.___start_em_js=837952,i.___stop_em_js=838113;function ls(){var f=be;f=Object.assign({},f);var w=$=>E=>$(E)>>>0;return f.la=w(f.la),f.Pa=w(f.Pa),f.Ta=w(f.Ta),f.Ua=($=>()=>$()>>>0)(f.Ua),f}i.stackSave=()=>Va(),i.stackRestore=f=>Ln(f),i.stackAlloc=f=>Un(f),i.UTF8ToString=Je,i.stringToUTF8=(f,w,$)=>jt(f,te,w,$),i.lengthBytesUTF8=In;var Er;it=function f(){Er||Ga(),Er||(it=f)};function Ga(){if(!(0r)}),N0=hn(()=>{}),F0=hn(()=>{}),Ju={};fn(Ju,{cpus:()=>Zu});var Zu,L0=ee(()=>{Zu=void 0}),U0=hn((t,e)=>{var r=(()=>{var a;var n=typeof document<"u"?(a=document.currentScript)==null?void 0:a.src:void 0;return typeof __filename<"u"&&(n||(n=__filename)),function(s={}){function i(){return B.buffer!=Te.buffer&&ut(),Te}function o(){return B.buffer!=Te.buffer&&ut(),Xe}function u(){return B.buffer!=Te.buffer&&ut(),it}function l(){return B.buffer!=Te.buffer&&ut(),je}function c(){return B.buffer!=Te.buffer&&ut(),ct}function h(){return B.buffer!=Te.buffer&&ut(),ot}function m(){return B.buffer!=Te.buffer&&ut(),mt}function _(){return B.buffer!=Te.buffer&&ut(),It}var p=s,y,v,S=new Promise((d,g)=>{y=d,v=g});p.mountExternalData=(d,g)=>{(p.Db||(p.Db=new Map)).set(d,g)},p.unmountExternalData=()=>{delete p.Db};let x=()=>{let d=(b,k,A)=>(...z)=>{let H=Lt,Z=k==null?void 0:k();z=b(...z);let pe=k==null?void 0:k();return Z!==pe&&(b=pe,A(Z),k=A=null),Lt!=H?O():z},g=b=>async(...k)=>{var A;try{if(p.Cb)throw Error("Session already started");let z=p.Cb={ec:k[0],errors:[]},H=await b(...k);if(p.Cb!==z)throw Error("Session mismatch");(A=p.Kb)==null||A.flush();let Z=z.errors;if(0oe),0p._OrtCreateSession,b=>p._OrtCreateSession=b),p._OrtRun=g(d(p._OrtRun,()=>p._OrtRun,b=>p._OrtRun=b)),p._OrtRunWithBinding=g(d(p._OrtRunWithBinding,()=>p._OrtRunWithBinding,b=>p._OrtRunWithBinding=b)),p._OrtBindInput=d(p._OrtBindInput,()=>p._OrtBindInput,b=>p._OrtBindInput=b),x=void 0};p.jsepInit=(d,g)=>{if(x==null||x(),d==="webgpu"){[p.Kb,p.Wb,p.$b,p.Lb,p.Zb,p.ob,p.ac,p.cc,p.Xb,p.Yb,p.bc]=g;let b=p.Kb;p.jsepRegisterBuffer=(k,A,z,H)=>b.registerBuffer(k,A,z,H),p.jsepGetBuffer=k=>b.getBuffer(k),p.jsepCreateDownloader=(k,A,z)=>b.createDownloader(k,A,z),p.jsepOnReleaseSession=k=>{b.onReleaseSession(k)},p.jsepOnRunStart=k=>b.onRunStart(k)}};var C=Object.assign({},p),T="./this.program",I=(d,g)=>{throw g},R=typeof window=="object",P=typeof importScripts=="function",G=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",j=p.ENVIRONMENT_IS_PTHREAD||!1,K="";function he(d){return p.locateFile?p.locateFile(d,K):K+d}var ne,te,se;if(G){var D=(Yu(),Ur(Is)),M=(Qu(),Ur(As));K=P?M.dirname(K)+"/":__dirname+"/",ne=(d,g)=>(d=jt(d)?new URL(d):M.normalize(d),D.readFileSync(d,g?void 0:"utf8")),se=d=>(d=ne(d,!0),d.buffer||(d=new Uint8Array(d)),d),te=(d,g,b,k=!0)=>{d=jt(d)?new URL(d):M.normalize(d),D.readFile(d,k?void 0:"utf8",(A,z)=>{A?b(A):g(k?z.buffer:z)})},!p.thisProgram&&1{throw process.exitCode=d,g},global.Worker=N0().Worker}else(R||P)&&(P?K=self.location.href:typeof document<"u"&&document.currentScript&&(K=document.currentScript.src),typeof n<"u"&&n&&(K=n),K.startsWith("blob:")?K="":K=K.substr(0,K.replace(/[?#].*/,"").lastIndexOf("/")+1),G||(ne=d=>{var g=new XMLHttpRequest;return g.open("GET",d,!1),g.send(null),g.responseText},P&&(se=d=>{var g=new XMLHttpRequest;return g.open("GET",d,!1),g.responseType="arraybuffer",g.send(null),new Uint8Array(g.response)}),te=(d,g,b)=>{var k=new XMLHttpRequest;k.open("GET",d,!0),k.responseType="arraybuffer",k.onload=()=>{k.status==200||k.status==0&&k.response?g(k.response):b()},k.onerror=b,k.send(null)}));G&&typeof performance>"u"&&(global.performance=F0().performance);var V=console.log.bind(console),q=console.error.bind(console);G&&(V=(...d)=>D.writeSync(1,d.join(" ")+` +`),q=(...d)=>D.writeSync(2,d.join(" ")+` +`));var ce=V,ue=q;Object.assign(p,C),C=null;var B,ae,de=!1,Se,Te,Xe,it,je,ct,ot,mt,We,Qe,It;function ut(){var d=B.buffer;p.HEAP8=Te=new Int8Array(d),p.HEAP16=it=new Int16Array(d),p.HEAPU8=Xe=new Uint8Array(d),p.HEAPU16=je=new Uint16Array(d),p.HEAP32=ct=new Int32Array(d),p.HEAPU32=ot=new Uint32Array(d),p.HEAPF32=mt=new Float32Array(d),p.HEAPF64=It=new Float64Array(d),p.HEAP64=We=new BigInt64Array(d),p.HEAPU64=Qe=new BigUint64Array(d)}var xr=16777216;if(j)B=p.wasmMemory;else if(p.wasmMemory)B=p.wasmMemory;else if(B=new WebAssembly.Memory({initial:xr/65536,maximum:65536,shared:!0}),!(B.buffer instanceof SharedArrayBuffer))throw ue("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag"),G&&ue("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and/or recent version)"),Error("bad memory");ut(),xr=B.buffer.byteLength;var Sr=[],sn=[],nu=[],kr=0,Dr=null;function Ia(){if(kr--,kr==0&&Dr){var d=Dr;Dr=null,d()}}function Je(d){throw d="Aborted("+d+")",ue(d),de=!0,Se=1,d=new WebAssembly.RuntimeError(d+". Build with -sASSERTIONS for more info."),v(d),d}var In=d=>d.startsWith("data:application/octet-stream;base64,"),jt=d=>d.startsWith("file://"),Nr;Nr="ort-wasm-simd-threaded.wasm",In(Nr)||(Nr=he(Nr));function Dt(d){if(se)return se(d);throw"both async and sync fetching of the wasm failed"}function Aa(d){if(R||P){if(typeof fetch=="function"&&!jt(d))return fetch(d,{credentials:"same-origin"}).then(g=>{if(!g.ok)throw`failed to load wasm binary file at '${d}'`;return g.arrayBuffer()}).catch(()=>Dt(d));if(te)return new Promise((g,b)=>{te(d,k=>g(new Uint8Array(k)),b)})}return Promise.resolve().then(()=>Dt(d))}function An(d,g,b){return Aa(d).then(k=>WebAssembly.instantiate(k,g)).then(b,k=>{ue(`failed to asynchronously prepare wasm: ${k}`),Je(k)})}function hr(d,g){var b=Nr;return typeof WebAssembly.instantiateStreaming!="function"||In(b)||jt(b)||G||typeof fetch!="function"?An(b,d,g):fetch(b,{credentials:"same-origin"}).then(k=>WebAssembly.instantiateStreaming(k,d).then(g,function(A){return ue(`wasm streaming compile failed: ${A}`),ue("falling back to ArrayBuffer instantiation"),An(b,d,g)}))}var Ma={826468:(d,g,b,k)=>{if(typeof p>"u"||!p.Db)return 1;if(d=st(d>>>0),d.startsWith("./")&&(d=d.substring(2)),d=p.Db.get(d),!d)return 2;if(g>>>=0,b>>>=0,k>>>=0,g+b>d.byteLength)return 3;try{return o().set(d.subarray(g,g+b),k>>>0),0}catch{return 4}},826969:()=>{p.Xb()},827e3:()=>{p.Yb()},827029:()=>{p.bc()},827054:d=>p.Wb(d),827087:d=>p.$b(d),827119:(d,g,b)=>{p.Lb(d,g,b,!0)},827158:(d,g,b)=>{p.Lb(d,g,b)},827191:d=>{p.ob("Abs",d,void 0)},827242:d=>{p.ob("Neg",d,void 0)},827293:d=>{p.ob("Floor",d,void 0)},827346:d=>{p.ob("Ceil",d,void 0)},827398:d=>{p.ob("Reciprocal",d,void 0)},827456:d=>{p.ob("Sqrt",d,void 0)},827508:d=>{p.ob("Exp",d,void 0)},827559:d=>{p.ob("Erf",d,void 0)},827610:d=>{p.ob("Sigmoid",d,void 0)},827665:(d,g,b)=>{p.ob("HardSigmoid",d,{alpha:g,beta:b})},827744:d=>{p.ob("Log",d,void 0)},827795:d=>{p.ob("Sin",d,void 0)},827846:d=>{p.ob("Cos",d,void 0)},827897:d=>{p.ob("Tan",d,void 0)},827948:d=>{p.ob("Asin",d,void 0)},828e3:d=>{p.ob("Acos",d,void 0)},828052:d=>{p.ob("Atan",d,void 0)},828104:d=>{p.ob("Sinh",d,void 0)},828156:d=>{p.ob("Cosh",d,void 0)},828208:d=>{p.ob("Asinh",d,void 0)},828261:d=>{p.ob("Acosh",d,void 0)},828314:d=>{p.ob("Atanh",d,void 0)},828367:d=>{p.ob("Tanh",d,void 0)},828419:d=>{p.ob("Not",d,void 0)},828470:(d,g,b)=>{p.ob("Clip",d,{min:g,max:b})},828539:d=>{p.ob("Clip",d,void 0)},828591:(d,g)=>{p.ob("Elu",d,{alpha:g})},828649:d=>{p.ob("Relu",d,void 0)},828701:(d,g)=>{p.ob("LeakyRelu",d,{alpha:g})},828765:(d,g)=>{p.ob("ThresholdedRelu",d,{alpha:g})},828835:(d,g)=>{p.ob("Cast",d,{to:g})},828893:d=>{p.ob("Add",d,void 0)},828944:d=>{p.ob("Sub",d,void 0)},828995:d=>{p.ob("Mul",d,void 0)},829046:d=>{p.ob("Div",d,void 0)},829097:d=>{p.ob("Pow",d,void 0)},829148:d=>{p.ob("Equal",d,void 0)},829201:d=>{p.ob("Greater",d,void 0)},829256:d=>{p.ob("GreaterOrEqual",d,void 0)},829318:d=>{p.ob("Less",d,void 0)},829370:d=>{p.ob("LessOrEqual",d,void 0)},829429:(d,g,b,k,A)=>{p.ob("ReduceMean",d,{keepDims:!!g,noopWithEmptyAxes:!!b,axes:k?Array.from(c().subarray(k>>>0,A>>>0)):[]})},829588:(d,g,b,k,A)=>{p.ob("ReduceMax",d,{keepDims:!!g,noopWithEmptyAxes:!!b,axes:k?Array.from(c().subarray(k>>>0,A>>>0)):[]})},829746:(d,g,b,k,A)=>{p.ob("ReduceMin",d,{keepDims:!!g,noopWithEmptyAxes:!!b,axes:k?Array.from(c().subarray(k>>>0,A>>>0)):[]})},829904:(d,g,b,k,A)=>{p.ob("ReduceProd",d,{keepDims:!!g,noopWithEmptyAxes:!!b,axes:k?Array.from(c().subarray(k>>>0,A>>>0)):[]})},830063:(d,g,b,k,A)=>{p.ob("ReduceSum",d,{keepDims:!!g,noopWithEmptyAxes:!!b,axes:k?Array.from(c().subarray(k>>>0,A>>>0)):[]})},830221:(d,g,b,k,A)=>{p.ob("ReduceL1",d,{keepDims:!!g,noopWithEmptyAxes:!!b,axes:k?Array.from(c().subarray(k>>>0,A>>>0)):[]})},830378:(d,g,b,k,A)=>{p.ob("ReduceL2",d,{keepDims:!!g,noopWithEmptyAxes:!!b,axes:k?Array.from(c().subarray(k>>>0,A>>>0)):[]})},830535:(d,g,b,k,A)=>{p.ob("ReduceLogSum",d,{keepDims:!!g,noopWithEmptyAxes:!!b,axes:k?Array.from(c().subarray(k>>>0,A>>>0)):[]})},830696:(d,g,b,k,A)=>{p.ob("ReduceSumSquare",d,{keepDims:!!g,noopWithEmptyAxes:!!b,axes:k?Array.from(c().subarray(k>>>0,A>>>0)):[]})},830860:(d,g,b,k,A)=>{p.ob("ReduceLogSumExp",d,{keepDims:!!g,noopWithEmptyAxes:!!b,axes:k?Array.from(c().subarray(k>>>0,A>>>0)):[]})},831024:d=>{p.ob("Where",d,void 0)},831077:(d,g,b)=>{p.ob("Transpose",d,{perm:g?Array.from(c().subarray(g>>>0,b>>>0)):[]})},831185:(d,g,b,k)=>{p.ob("DepthToSpace",d,{blocksize:g,mode:st(b),format:k?"NHWC":"NCHW"})},831318:(d,g,b,k)=>{p.ob("DepthToSpace",d,{blocksize:g,mode:st(b),format:k?"NHWC":"NCHW"})},831451:(d,g,b,k,A,z,H,Z,pe,oe,we,Le,He,W,Ie)=>{p.ob("ConvTranspose",d,{format:pe?"NHWC":"NCHW",autoPad:g,dilations:[b],group:k,kernelShape:[A],pads:[z,H],strides:[Z],wIsConst:()=>!!i()[oe>>>0],outputPadding:we?Array.from(c().subarray(we>>>0,Le>>>0)):[],outputShape:He?Array.from(c().subarray(He>>>0,W>>>0)):[],activation:st(Ie)})},831852:(d,g,b,k,A,z,H,Z,pe,oe,we,Le,He,W)=>{p.ob("ConvTranspose",d,{format:Z?"NHWC":"NCHW",autoPad:g,dilations:Array.from(c().subarray(b>>>0,(b>>>0)+2>>>0)),group:k,kernelShape:Array.from(c().subarray(A>>>0,(A>>>0)+2>>>0)),pads:Array.from(c().subarray(z>>>0,(z>>>0)+4>>>0)),strides:Array.from(c().subarray(H>>>0,(H>>>0)+2>>>0)),wIsConst:()=>!!i()[pe>>>0],outputPadding:oe?Array.from(c().subarray(oe>>>0,we>>>0)):[],outputShape:Le?Array.from(c().subarray(Le>>>0,He>>>0)):[],activation:st(W)})},832417:(d,g,b,k,A,z,H,Z,pe,oe,we,Le,He,W,Ie)=>{p.ob("ConvTranspose",d,{format:pe?"NHWC":"NCHW",autoPad:g,dilations:[b],group:k,kernelShape:[A],pads:[z,H],strides:[Z],wIsConst:()=>!!i()[oe>>>0],outputPadding:we?Array.from(c().subarray(we>>>0,Le>>>0)):[],outputShape:He?Array.from(c().subarray(He>>>0,W>>>0)):[],activation:st(Ie)})},832818:(d,g,b,k,A,z,H,Z,pe,oe,we,Le,He,W)=>{p.ob("ConvTranspose",d,{format:Z?"NHWC":"NCHW",autoPad:g,dilations:Array.from(c().subarray(b>>>0,(b>>>0)+2>>>0)),group:k,kernelShape:Array.from(c().subarray(A>>>0,(A>>>0)+2>>>0)),pads:Array.from(c().subarray(z>>>0,(z>>>0)+4>>>0)),strides:Array.from(c().subarray(H>>>0,(H>>>0)+2>>>0)),wIsConst:()=>!!i()[pe>>>0],outputPadding:oe?Array.from(c().subarray(oe>>>0,we>>>0)):[],outputShape:Le?Array.from(c().subarray(Le>>>0,He>>>0)):[],activation:st(W)})},833383:(d,g)=>{p.ob("GlobalAveragePool",d,{format:g?"NHWC":"NCHW"})},833474:(d,g,b,k,A,z,H,Z,pe,oe,we,Le,He,W,Ie,Ne)=>{p.ob("AveragePool",d,{format:Ne?"NHWC":"NCHW",auto_pad:g,ceil_mode:b,count_include_pad:k,storage_order:A,dilations:[z,H],kernel_shape:[Z,pe],pads:[oe,we,Le,He],strides:[W,Ie]})},833758:(d,g)=>{p.ob("GlobalAveragePool",d,{format:g?"NHWC":"NCHW"})},833849:(d,g,b,k,A,z,H,Z,pe,oe,we,Le,He,W,Ie,Ne)=>{p.ob("AveragePool",d,{format:Ne?"NHWC":"NCHW",auto_pad:g,ceil_mode:b,count_include_pad:k,storage_order:A,dilations:[z,H],kernel_shape:[Z,pe],pads:[oe,we,Le,He],strides:[W,Ie]})},834133:(d,g)=>{p.ob("GlobalMaxPool",d,{format:g?"NHWC":"NCHW"})},834220:(d,g,b,k,A,z,H,Z,pe,oe,we,Le,He,W,Ie,Ne)=>{p.ob("MaxPool",d,{format:Ne?"NHWC":"NCHW",auto_pad:g,ceil_mode:b,count_include_pad:k,storage_order:A,dilations:[z,H],kernel_shape:[Z,pe],pads:[oe,we,Le,He],strides:[W,Ie]})},834500:(d,g)=>{p.ob("GlobalMaxPool",d,{format:g?"NHWC":"NCHW"})},834587:(d,g,b,k,A,z,H,Z,pe,oe,we,Le,He,W,Ie,Ne)=>{p.ob("MaxPool",d,{format:Ne?"NHWC":"NCHW",auto_pad:g,ceil_mode:b,count_include_pad:k,storage_order:A,dilations:[z,H],kernel_shape:[Z,pe],pads:[oe,we,Le,He],strides:[W,Ie]})},834867:(d,g,b,k,A)=>{p.ob("Gemm",d,{alpha:g,beta:b,transA:k,transB:A})},834971:d=>{p.ob("MatMul",d,void 0)},835025:(d,g,b,k)=>{p.ob("ArgMax",d,{keepDims:!!g,selectLastIndex:!!b,axis:k})},835133:(d,g,b,k)=>{p.ob("ArgMin",d,{keepDims:!!g,selectLastIndex:!!b,axis:k})},835241:(d,g)=>{p.ob("Softmax",d,{axis:g})},835304:(d,g)=>{p.ob("Concat",d,{axis:g})},835364:(d,g,b,k,A)=>{p.ob("Split",d,{axis:g,numOutputs:b,splitSizes:k?Array.from(c().subarray(k>>>0,A>>>0)):[]})},835504:d=>{p.ob("Expand",d,void 0)},835558:(d,g)=>{p.ob("Gather",d,{axis:Number(g)})},835629:(d,g)=>{p.ob("GatherElements",d,{axis:Number(g)})},835708:(d,g,b,k,A,z,H,Z,pe,oe,we)=>{p.ob("Resize",d,{antialias:g,axes:b?Array.from(c().subarray(b>>>0,k>>>0)):[],coordinateTransformMode:st(A),cubicCoeffA:z,excludeOutside:H,extrapolationValue:Z,keepAspectRatioPolicy:st(pe),mode:st(oe),nearestMode:st(we)})},836054:(d,g,b,k,A,z,H)=>{p.ob("Slice",d,{starts:g?Array.from(c().subarray(g>>>0,b>>>0)):[],ends:k?Array.from(c().subarray(k>>>0,A>>>0)):[],axes:z?Array.from(c().subarray(z>>>0,H>>>0)):[]})},836270:d=>{p.ob("Tile",d,void 0)},836322:(d,g,b,k)=>{p.ob("LayerNormalization",d,{axis:g,epsilon:b,simplified:!!k})},836433:(d,g,b)=>{p.ob("InstanceNormalization",d,{epsilon:g,format:b?"NHWC":"NCHW"})},836547:(d,g,b)=>{p.ob("InstanceNormalization",d,{epsilon:g,format:b?"NHWC":"NCHW"})},836661:d=>{p.ob("Range",d,void 0)},836714:(d,g)=>{p.ob("Einsum",d,{equation:st(g)})},836795:(d,g,b,k,A)=>{p.ob("Pad",d,{mode:g,value:b,pads:k?Array.from(c().subarray(k>>>0,A>>>0)):[]})},836922:(d,g,b,k,A,z)=>{p.ob("BatchNormalization",d,{epsilon:g,momentum:b,spatial:!!A,trainingMode:!!k,format:z?"NHWC":"NCHW"})},837091:(d,g,b,k,A,z)=>{p.ob("BatchNormalization",d,{epsilon:g,momentum:b,spatial:!!A,trainingMode:!!k,format:z?"NHWC":"NCHW"})},837260:(d,g,b)=>{p.ob("CumSum",d,{exclusive:Number(g),reverse:Number(b)})},837357:(d,g,b,k,A,z,H,Z,pe)=>{p.ob("Attention",d,{numHeads:g,isUnidirectional:b,maskFilterValue:k,scale:A,doRotary:z,qkvHiddenSizes:H?Array.from(c().subarray(Number(Z)>>>0,Number(Z)+H>>>0)):[],pastPresentShareBuffer:!!pe})},837629:d=>{p.ob("BiasAdd",d,void 0)},837684:d=>{p.ob("BiasSplitGelu",d,void 0)},837745:d=>{p.ob("FastGelu",d,void 0)},837801:(d,g,b,k,A,z,H,Z,pe,oe,we,Le,He)=>{p.ob("Conv",d,{format:pe?"NHWC":"NCHW",auto_pad:g,dilations:[b],group:k,kernel_shape:[A],pads:z?Array.from(c().subarray(z>>>0,H>>>0)):[],strides:[Z],w_is_const:()=>!!i()[oe>>>0],activation:st(we),activation_params:Le?Array.from(m().subarray(Le>>>0,He>>>0)):[]})},838171:(d,g,b,k,A,z,H,Z,pe,oe,we,Le,He,W,Ie,Ne)=>{p.ob("Conv",d,{format:Le?"NHWC":"NCHW",auto_pad:g,dilations:[b,k],group:A,kernel_shape:[z,H],pads:Z?Array.from(c().subarray(Z>>>0,pe>>>0)):[],strides:[oe,we],w_is_const:()=>!!i()[He>>>0],activation:st(W),activation_params:Ie?Array.from(m().subarray(Ie>>>0,Ne>>>0)):[]})},838562:d=>{p.ob("Gelu",d,void 0)},838614:(d,g,b,k,A,z)=>{p.ob("MatMulNBits",d,{k:g,n:b,accuracyLevel:k,bits:A,blockSize:z})},838741:(d,g,b,k,A,z)=>{p.ob("MultiHeadAttention",d,{numHeads:g,isUnidirectional:b,maskFilterValue:k,scale:A,doRotary:z})},838900:(d,g,b,k,A)=>{p.ob("RotaryEmbedding",d,{interleaved:!!g,numHeads:b,rotaryEmbeddingDim:k,scale:A})},839039:(d,g,b)=>{p.ob("SkipLayerNormalization",d,{epsilon:g,simplified:!!b})},839141:(d,g,b)=>{p.ob("SkipLayerNormalization",d,{epsilon:g,simplified:!!b})},839243:(d,g,b,k)=>{p.ob("LayerNormalization",d,{axis:g,epsilon:b,simplified:!!k})},839354:d=>{p.ac(d)},839388:(d,g)=>p.cc(d,g,p.Cb.ec,p.Cb.errors)};function At(d){this.name="ExitStatus",this.message=`Program terminated with exit(${d})`,this.status=d}var Mn=d=>{d.terminate(),d.onmessage=()=>{}},On=d=>{ve.xb.length==0&&(qi(),ve.Mb(ve.xb[0]));var g=ve.xb.pop();if(!g)return 6;ve.yb.push(g),ve.ub[d.wb]=g,g.wb=d.wb;var b={cmd:"run",start_routine:d.fc,arg:d.Rb,pthread_ptr:d.wb};return G&&g.unref(),g.postMessage(b,d.mc),0},pt=0,Oa=d=>{var g=gu();return d=d(),hs(g),d},ze=(d,g,...b)=>Oa(()=>{for(var k=2*b.length,A=mu(8*k),z=A>>>3,H=0;H>>0]=Z)}return L_(d,0,k,A,g)});function Mt(d){var g;if(j)return ze(0,1,d);Se=d,0{if(Se=d,j)throw Yi(d),"unwind";Mt(d)};function au(){for(var d=p.numThreads;d--;)qi();Sr.unshift(()=>{kr++,Ki(()=>Ia())})}function qi(){var d=he("ort-wasm-simd-threaded.worker.js");d=new Worker(d),ve.xb.push(d)}function Ki(d){j?d():Promise.all(ve.xb.map(ve.Mb)).then(d)}var ve={xb:[],yb:[],Qb:[],ub:{},Gb(){j?(ve.receiveObjectTransfer=ve.dc,ve.threadInitTLS=ve.Pb,ve.setExitStatus=ve.Ob):au()},Ob:d=>Se=d,pc:["$terminateWorker"],hc:()=>{for(var d of ve.yb)Mn(d);for(d of ve.xb)Mn(d);ve.xb=[],ve.yb=[],ve.ub=[]},Nb:d=>{var g=d.wb;delete ve.ub[g],ve.xb.push(d),ve.yb.splice(ve.yb.indexOf(d),1),d.wb=0,hu(g)},dc(){},Pb(){ve.Qb.forEach(d=>d())},Mb:d=>new Promise(g=>{d.onmessage=z=>{z=z.data;var H=z.cmd;if(z.targetThread&&z.targetThread!=cs()){var Z=ve.ub[z.targetThread];Z?Z.postMessage(z,z.transferList):ue(`Internal error! Worker sent a message "${H}" to target pthread ${z.targetThread}, but that thread no longer exists!`)}else H==="checkMailbox"?kt():H==="spawnThread"?On(z):H==="cleanupThread"?ve.Nb(ve.ub[z.thread]):H==="killThread"?(z=z.thread,H=ve.ub[z],delete ve.ub[z],Mn(H),hu(z),ve.yb.splice(ve.yb.indexOf(H),1),H.wb=0):H==="cancelThread"?ve.ub[z.thread].postMessage({cmd:"cancel"}):H==="loaded"?(d.loaded=!0,G&&!d.wb&&d.unref(),g(d)):H==="alert"?alert(`Thread ${z.threadId}: ${z.text}`):z.target==="setimmediate"?d.postMessage(z):H==="callHandler"?p[z.handler](...z.args):H&&ue(`worker sent an unknown command ${H}`)},d.onerror=z=>{throw ue(`worker sent an error! ${z.filename}:${z.lineno}: ${z.message}`),z},G&&(d.on("message",z=>d.onmessage({data:z})),d.on("error",z=>d.onerror(z)));var b=[],k=["onExit"],A;for(A of k)p.hasOwnProperty(A)&&b.push(A);d.postMessage({cmd:"load",handlers:b,urlOrBlob:p.mainScriptUrlOrBlob||n,wasmMemory:B,wasmModule:ae})})};p.PThread=ve;var zn=d=>{for(;0{var d=cs(),g=h()[d+52>>>2>>>0];d=h()[d+56>>>2>>>0],W_(g,g-d),hs(g)};function Yi(d){if(j)return ze(1,0,d);on(d)}p.invokeEntryPoint=(d,g)=>{pt=0,d=V_(d,g),0>>2>>>0]=0,h()[this.Ib+4>>>2>>>0]=g,h()[this.Ib+8>>>2>>>0]=b}}var Xi=0;function Qi(d,g,b,k){return j?ze(2,1,d,g,b,k):Rn(d,g,b,k)}function Rn(d,g,b,k){if(d>>>=0,g>>>=0,b>>>=0,k>>>=0,typeof SharedArrayBuffer>"u")return ue("Current environment does not support SharedArrayBuffer, pthreads are not available!"),6;var A=[];return j&&A.length===0?Qi(d,g,b,k):(d={fc:b,wb:d,Rb:k,mc:A},j?(d.oc="spawnThread",postMessage(d,A),0):On(d))}var za=typeof TextDecoder<"u"?new TextDecoder("utf8"):void 0,un=(d,g,b)=>{g>>>=0;var k=g+b;for(b=g;d[b]&&!(b>=k);)++b;if(16A?k+=String.fromCharCode(A):(A-=65536,k+=String.fromCharCode(55296|A>>10,56320|A&1023))}}else k+=String.fromCharCode(A)}return k},st=(d,g)=>(d>>>=0)?un(o(),d,g):"";function Ji(d,g,b){return j?ze(3,1,d,g,b):0}function ir(d,g){if(j)return ze(4,1,d,g)}var Ot=d=>{for(var g=0,b=0;b=k?g++:2047>=k?g+=2:55296<=k&&57343>=k?(g+=4,++b):g+=3}return g},Ra=(d,g,b,k)=>{if(b>>>=0,!(0=H){var Z=d.charCodeAt(++z);H=65536+((H&1023)<<10)|Z&1023}if(127>=H){if(b>=k)break;g[b++>>>0]=H}else{if(2047>=H){if(b+1>=k)break;g[b++>>>0]=192|H>>6}else{if(65535>=H){if(b+2>=k)break;g[b++>>>0]=224|H>>12}else{if(b+3>=k)break;g[b++>>>0]=240|H>>18,g[b++>>>0]=128|H>>12&63}g[b++>>>0]=128|H>>6&63}g[b++>>>0]=128|H&63}}return g[b>>>0]=0,b-A},sr=(d,g,b)=>Ra(d,o(),g,b);function Pa(d,g){if(j)return ze(5,1,d,g)}function Ba(d,g,b){if(j)return ze(6,1,d,g,b)}function Zi(d,g,b){return j?ze(7,1,d,g,b):0}function Pn(d,g){if(j)return ze(8,1,d,g)}function es(d,g,b){if(j)return ze(9,1,d,g,b)}function ts(d,g,b,k){if(j)return ze(10,1,d,g,b,k)}function rs(d,g,b,k){if(j)return ze(11,1,d,g,b,k)}function ns(d,g,b,k){if(j)return ze(12,1,d,g,b,k)}function Da(d){if(j)return ze(13,1,d)}function ln(d,g){if(j)return ze(14,1,d,g)}function as(d,g,b){if(j)return ze(15,1,d,g,b)}var Bn,Nt=d=>{for(var g="";o()[d>>>0];)g+=Bn[o()[d++>>>0]];return g},Na={},Fa={},or;function su(d,g,b={}){var k=g.name;if(!d)throw new or(`type "${k}" must have a positive integer typeid pointer`);if(Fa.hasOwnProperty(d)){if(b.Ub)return;throw new or(`Cannot register type '${k}' twice`)}Fa[d]=g,Na.hasOwnProperty(d)&&(g=Na[d],delete Na[d],g.forEach(A=>A()))}function wt(d,g,b={}){if(!("argPackAdvance"in g))throw new TypeError("registerType registeredInstance requires argPackAdvance");return su(d,g,b)}var La=(d,g,b)=>{switch(g){case 1:return b?k=>i()[k>>>0]:k=>o()[k>>>0];case 2:return b?k=>u()[k>>>1>>>0]:k=>l()[k>>>1>>>0];case 4:return b?k=>c()[k>>>2>>>0]:k=>h()[k>>>2>>>0];case 8:return b?k=>We[k>>>3]:k=>Qe[k>>>3];default:throw new TypeError(`invalid integer width (${g}): ${d}`)}},Dn=[],Ft=[];function Nn(d){d>>>=0,9{if(!d)throw new or("Cannot use deleted val. handle = "+d);return Ft[d]},zt=d=>{switch(d){case void 0:return 2;case null:return 4;case!0:return 6;case!1:return 8;default:let g=Dn.pop()||Ft.length;return Ft[g]=d,Ft[g+1]=1,g}};function dn(d){return this.fromWireType(h()[d>>>2>>>0])}var ou={name:"emscripten::val",fromWireType:d=>{var g=ht(d);return Nn(d),g},toWireType:(d,g)=>zt(g),argPackAdvance:8,readValueFromPointer:dn,Bb:null},is=(d,g)=>{switch(g){case 4:return function(b){return this.fromWireType(m()[b>>>2>>>0])};case 8:return function(b){return this.fromWireType(_()[b>>>3>>>0])};default:throw new TypeError(`invalid float width (${g}): ${d}`)}},Ua=typeof TextDecoder<"u"?new TextDecoder("utf-16le"):void 0,uu=(d,g)=>{for(var b=d>>1,k=b+g/2;!(b>=k)&&l()[b>>>0];)++b;if(b<<=1,32=g/2);++k){var A=u()[d+2*k>>>1>>>0];if(A==0)break;b+=String.fromCharCode(A)}return b},ss=(d,g,b)=>{if(b??(b=2147483647),2>b)return 0;b-=2;var k=g;b=b<2*d.length?b/2:d.length;for(var A=0;A>>1>>>0]=z,g+=2}return u()[g>>>1>>>0]=0,g-k},os=d=>2*d.length,Fn=(d,g)=>{for(var b=0,k="";!(b>=g/4);){var A=c()[d+4*b>>>2>>>0];if(A==0)break;++b,65536<=A?(A-=65536,k+=String.fromCharCode(55296|A>>10,56320|A&1023)):k+=String.fromCharCode(A)}return k},lu=(d,g,b)=>{if(g>>>=0,b??(b=2147483647),4>b)return 0;var k=g;b=k+b-4;for(var A=0;A=z){var H=d.charCodeAt(++A);z=65536+((z&1023)<<10)|H&1023}if(c()[g>>>2>>>0]=z,g+=4,g+4>b)break}return c()[g>>>2>>>0]=0,g-k},be=d=>{for(var g=0,b=0;b=k&&++b,g+=4}return g},Wa=d=>{if(!de)try{if(d(),!(0>>=0,typeof Atomics.nc=="function"&&(Atomics.nc(c(),d>>>2,d).value.then(kt),d+=128,Atomics.store(c(),d>>>2,1))}p.__emscripten_thread_mailbox_await=Fr;var kt=()=>{var d=cs();d&&(Fr(d),Wa(U_))};p.checkMailbox=kt;var Ln=[],Un=(d,g)=>{var b=Fa[d];if(b===void 0)throw d=N_(d),b=Nt(d),fr(d),new or(`${g} has unknown type ${b}`);return b},Va=(d,g,b)=>{var k=[];return d=d.toWireType(k,b),k.length&&(h()[g>>>2>>>0]=zt(k)),d},cn=d=>{try{d()}catch(g){Je(g)}};function us(){var d=me,g={};for(let[b,k]of Object.entries(d))g[b]=typeof k=="function"?(...A)=>{Er.push(b);try{return k(...A)}finally{de||(Er.pop(),Lt&&ur===1&&Er.length===0&&(ur=0,pt+=1,cn(H_),typeof Fibers<"u"&&Fibers.rc()))}}:k;return g}var ur=0,Lt=null,ls=0,Er=[],Ga={},f={},w=0,$=null,E=[];function O(){return new Promise((d,g)=>{$={resolve:d,reject:g}})}function F(){var d=ps(65548),g=d+12;h()[d>>>2>>>0]=g,h()[d+4>>>2>>>0]=g+65536,g=Er[0];var b=Ga[g];return b===void 0&&(b=w++,Ga[g]=b,f[b]=g),g=b,c()[d+8>>>2>>>0]=g,d}function Y(){var d=c()[Lt+8>>>2>>>0];return d=me[f[d]],--pt,d()}function re(d){if(!de){if(ur===0){var g=!1,b=!1;d((k=0)=>{if(!de&&(ls=k,g=!0,b)){ur=2,cn(()=>j_(Lt)),typeof Browser<"u"&&Browser.Hb.Tb&&Browser.Hb.resume(),k=!1;try{var A=Y()}catch(Z){A=Z,k=!0}var z=!1;if(!Lt){var H=$;H&&($=null,(k?H.reject:H.resolve)(A),z=!0)}if(k&&!z)throw A}}),b=!0,g||(ur=1,Lt=F(),typeof Browser<"u"&&Browser.Hb.Tb&&Browser.Hb.pause(),cn(()=>G_(Lt)))}else ur===2?(ur=0,cn(q_),fr(Lt),Lt=null,E.forEach(Wa)):Je(`invalid state: ${ur}`);return ls}}function le(d){return re(g=>{d().then(g)})}var ie=[],ge={},Be=d=>{var g=ge[d];return g===void 0?Nt(d):g},Fe=()=>typeof globalThis=="object"?globalThis:Function("return this")(),L=d=>{var g=ie.length;return ie.push(d),g},Ee=(d,g)=>{for(var b=Array(d),k=0;k>>2>>>0],"parameter "+k);return b},Re=(d,g)=>Object.defineProperty(g,"name",{value:d});function Cr(d){var g=Function;if(!(g instanceof Function))throw new TypeError(`new_ called with constructor type ${typeof g} which is not a function`);var b=Re(g.name||"unknownFunctionName",function(){});return b.prototype=g.prototype,b=new b,d=g.apply(b,d),d instanceof Object?d:b}var Tr=d=>d%4===0&&(d%100!==0||d%400===0),$_=[0,31,60,91,121,152,182,213,244,274,305,335],x_=[0,31,59,90,120,151,181,212,243,273,304,334];function S_(d,g,b,k,A,z,H){return j?ze(16,1,d,g,b,k,A,z,H):-52}function k_(d,g,b,k,A,z){if(j)return ze(17,1,d,g,b,k,A,z)}var du=[],E_=(d,g)=>{du.length=0;for(var b;b=o()[d++>>>0];){var k=b!=105;k&=b!=112,g+=k&&g%8?4:0,du.push(b==112?h()[g>>>2>>>0]:b==106?We[g>>>3]:b==105?c()[g>>>2>>>0]:_()[g>>>3>>>0]),g+=k?8:4}return du},cu={},C_=()=>{if(!pu){var d={USER:"web_user",LOGNAME:"web_user",PATH:"/",PWD:"/",HOME:"/home/web_user",LANG:(typeof navigator=="object"&&navigator.languages&&navigator.languages[0]||"C").replace("-","_")+".UTF-8",_:T||"./this.program"},g;for(g in cu)cu[g]===void 0?delete d[g]:d[g]=cu[g];var b=[];for(g in d)b.push(`${g}=${d[g]}`);pu=b}return pu},pu;function T_(d,g){if(j)return ze(18,1,d,g);d>>>=0,g>>>=0;var b=0;return C_().forEach((k,A)=>{var z=g+b;for(A=h()[d+4*A>>>2>>>0]=z,z=0;z>>0]=k.charCodeAt(z);i()[A>>>0]=0,b+=k.length+1}),0}function I_(d,g){if(j)return ze(19,1,d,g);d>>>=0,g>>>=0;var b=C_();h()[d>>>2>>>0]=b.length;var k=0;return b.forEach(A=>k+=A.length+1),h()[g>>>2>>>0]=k,0}function A_(d){return j?ze(20,1,d):52}function M_(d,g,b,k){return j?ze(21,1,d,g,b,k):52}function O_(d,g,b,k){return j?ze(22,1,d,g,b,k):70}var ek=[null,[],[]];function z_(d,g,b,k){if(j)return ze(23,1,d,g,b,k);g>>>=0,b>>>=0,k>>>=0;for(var A=0,z=0;z>>2>>>0],Z=h()[g+4>>>2>>>0];g+=8;for(var pe=0;pe>>0],we=ek[d];oe===0||oe===10?((d===1?ce:ue)(un(we,0)),we.length=0):we.push(oe)}A+=Z}return h()[k>>>2>>>0]=A,0}var R_=[31,29,31,30,31,30,31,31,30,31,30,31],P_=[31,28,31,30,31,30,31,31,30,31,30,31];function tk(d){var g=Array(Ot(d)+1);return Ra(d,g,0,g.length),g}var rk=(d,g)=>{i().set(d,g>>>0)};function B_(d,g,b,k){function A(W,Ie,Ne){for(W=typeof W=="number"?W.toString():W||"";W.lengthY_?-1:0pn-W.getDate())Ie-=pn-W.getDate()+1,W.setDate(1),11>Ne?W.setMonth(Ne+1):(W.setMonth(0),W.setFullYear(W.getFullYear()+1));else{W.setDate(W.getDate()+Ie);break}}return Ne=new Date(W.getFullYear()+1,0,4),Ie=Z(new Date(W.getFullYear(),0,4)),Ne=Z(Ne),0>=H(Ie,W)?0>=H(Ne,W)?W.getFullYear()+1:W.getFullYear():W.getFullYear()-1}d>>>=0,g>>>=0,b>>>=0,k>>>=0;var oe=h()[k+40>>>2>>>0];k={kc:c()[k>>>2>>>0],jc:c()[k+4>>>2>>>0],Eb:c()[k+8>>>2>>>0],Jb:c()[k+12>>>2>>>0],Fb:c()[k+16>>>2>>>0],Ab:c()[k+20>>>2>>>0],vb:c()[k+24>>>2>>>0],zb:c()[k+28>>>2>>>0],qc:c()[k+32>>>2>>>0],ic:c()[k+36>>>2>>>0],lc:oe?st(oe):""},b=st(b),oe={"%c":"%a %b %d %H:%M:%S %Y","%D":"%m/%d/%y","%F":"%Y-%m-%d","%h":"%b","%r":"%I:%M:%S %p","%R":"%H:%M","%T":"%H:%M:%S","%x":"%m/%d/%y","%X":"%H:%M:%S","%Ec":"%c","%EC":"%C","%Ex":"%m/%d/%y","%EX":"%H:%M:%S","%Ey":"%y","%EY":"%Y","%Od":"%d","%Oe":"%e","%OH":"%H","%OI":"%I","%Om":"%m","%OM":"%M","%OS":"%S","%Ou":"%u","%OU":"%U","%OV":"%V","%Ow":"%w","%OW":"%W","%Oy":"%y"};for(var we in oe)b=b.replace(new RegExp(we,"g"),oe[we]);var Le="Sunday Monday Tuesday Wednesday Thursday Friday Saturday".split(" "),He="January February March April May June July August September October November December".split(" ");oe={"%a":W=>Le[W.vb].substring(0,3),"%A":W=>Le[W.vb],"%b":W=>He[W.Fb].substring(0,3),"%B":W=>He[W.Fb],"%C":W=>z((W.Ab+1900)/100|0,2),"%d":W=>z(W.Jb,2),"%e":W=>A(W.Jb,2," "),"%g":W=>pe(W).toString().substring(2),"%G":pe,"%H":W=>z(W.Eb,2),"%I":W=>(W=W.Eb,W==0?W=12:12{for(var Ie=0,Ne=0;Ne<=W.Fb-1;Ie+=(Tr(W.Ab+1900)?R_:P_)[Ne++]);return z(W.Jb+Ie,3)},"%m":W=>z(W.Fb+1,2),"%M":W=>z(W.jc,2),"%n":()=>` +`,"%p":W=>0<=W.Eb&&12>W.Eb?"AM":"PM","%S":W=>z(W.kc,2),"%t":()=>" ","%u":W=>W.vb||7,"%U":W=>z(Math.floor((W.zb+7-W.vb)/7),2),"%V":W=>{var Ie=Math.floor((W.zb+7-(W.vb+6)%7)/7);if(2>=(W.vb+371-W.zb-2)%7&&Ie++,Ie)Ie==53&&(Ne=(W.vb+371-W.zb)%7,Ne==4||Ne==3&&Tr(W.Ab)||(Ie=1));else{Ie=52;var Ne=(W.vb+7-W.zb-1)%7;(Ne==4||Ne==5&&Tr(W.Ab%400-1))&&Ie++}return z(Ie,2)},"%w":W=>W.vb,"%W":W=>z(Math.floor((W.zb+7-(W.vb+6)%7)/7),2),"%y":W=>(W.Ab+1900).toString().substring(2),"%Y":W=>W.Ab+1900,"%z":W=>{W=W.ic;var Ie=0<=W;return W=Math.abs(W)/60,(Ie?"+":"-")+("0000"+(W/60*100+W%60)).slice(-4)},"%Z":W=>W.lc,"%%":()=>"%"},b=b.replace(/%%/g,"\0\0");for(we in oe)b.includes(we)&&(b=b.replace(new RegExp(we,"g"),oe[we](k)));return b=b.replace(/\0\0/g,"%"),we=tk(b),we.length>g?0:(rk(we,d),we.length-1)}ve.Gb();for(var D_=Array(256),ds=0;256>ds;++ds)D_[ds]=String.fromCharCode(ds);Bn=D_,or=p.BindingError=class extends Error{constructor(d){super(d),this.name="BindingError"}},p.InternalError=class extends Error{constructor(d){super(d),this.name="InternalError"}},Ft.push(0,1,void 0,1,null,1,!0,1,!1,1),p.count_emval_handles=()=>Ft.length/2-5-Dn.length;var nk=[Mt,Yi,Qi,Ji,ir,Pa,Ba,Zi,Pn,es,ts,rs,ns,Da,ln,as,S_,k_,T_,I_,A_,M_,O_,z_],ak={ua:function(d,g,b){return le(async()=>{await p.Zb(d,g,b)})},b:function(d,g,b){throw d>>>=0,new iu(d).Gb(g>>>0,b>>>0),Xi=d,Xi},ia:function(d){F_(d>>>0,!P,1,!R,131072,!1),ve.Pb()},G:function(d){d>>>=0,j?postMessage({cmd:"cleanupThread",thread:d}):ve.Nb(ve.ub[d])},_:Rn,A:Ji,pa:ir,W:Pa,Y:Ba,qa:Zi,na:Pn,fa:es,ma:ts,K:rs,X:ns,U:Da,oa:ln,V:as,E:function(d,g,b){d>>>=0,b>>>=0,g=Nt(g>>>0),wt(d,{name:g,fromWireType:k=>k,toWireType:function(k,A){if(typeof A!="bigint"&&typeof A!="number")throw A===null?A="null":(k=typeof A,A=k==="object"||k==="array"||k==="function"?A.toString():""+A),new TypeError(`Cannot convert "${A}" to ${this.name}`);return typeof A=="number"&&(A=BigInt(A)),A},argPackAdvance:8,readValueFromPointer:La(g,b,g.indexOf("u")==-1),Bb:null})},O:function(d,g,b,k){d>>>=0,g=Nt(g>>>0),wt(d,{name:g,fromWireType:function(A){return!!A},toWireType:function(A,z){return z?b:k},argPackAdvance:8,readValueFromPointer:function(A){return this.fromWireType(o()[A>>>0])},Bb:null})},N:function(d){return wt(d>>>0,ou)},D:function(d,g,b){d>>>=0,b>>>=0,g=Nt(g>>>0),wt(d,{name:g,fromWireType:k=>k,toWireType:(k,A)=>A,argPackAdvance:8,readValueFromPointer:is(g,b),Bb:null})},t:function(d,g,b,k,A){if(d>>>=0,b>>>=0,g=Nt(g>>>0),A===-1&&(A=4294967295),A=Z=>Z,k===0){var z=32-8*b;A=Z=>Z<>>z}var H=g.includes("unsigned")?function(Z,pe){return pe>>>0}:function(Z,pe){return pe};wt(d,{name:g,fromWireType:A,toWireType:H,argPackAdvance:8,readValueFromPointer:La(g,b,k!==0),Bb:null})},p:function(d,g,b){function k(z){var H=h()[z>>>2>>>0];return z=h()[z+4>>>2>>>0],new A(i().buffer,z,H)}d>>>=0;var A=[Int8Array,Uint8Array,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array,BigInt64Array,BigUint64Array][g];b=Nt(b>>>0),wt(d,{name:b,fromWireType:k,argPackAdvance:8,readValueFromPointer:k},{Ub:!0})},F:function(d,g){d>>>=0,g=Nt(g>>>0);var b=g==="std::string";wt(d,{name:g,fromWireType:function(k){var A=h()[k>>>2>>>0],z=k+4;if(b)for(var H=z,Z=0;Z<=A;++Z){var pe=z+Z;if(Z==A||o()[pe>>>0]==0){if(H=st(H,pe-H),oe===void 0)var oe=H;else oe+="\0",oe+=H;H=pe+1}}else{for(oe=Array(A),Z=0;Z>>0]);oe=oe.join("")}return fr(k),oe},toWireType:function(k,A){A instanceof ArrayBuffer&&(A=new Uint8Array(A));var z=typeof A=="string";if(!(z||A instanceof Uint8Array||A instanceof Uint8ClampedArray||A instanceof Int8Array))throw new or("Cannot pass non-string to std::string");var H=b&&z?Ot(A):A.length,Z=ps(4+H+1),pe=Z+4;if(h()[Z>>>2>>>0]=H,b&&z)sr(A,pe,H+1);else if(z)for(z=0;z>>0]=oe}else for(z=0;z>>0]=A[z];return k!==null&&k.push(fr,Z),Z},argPackAdvance:8,readValueFromPointer:dn,Bb(k){fr(k)}})},z:function(d,g,b){if(d>>>=0,g>>>=0,b>>>=0,b=Nt(b),g===2)var k=uu,A=ss,z=os,H=Z=>l()[Z>>>1>>>0];else g===4&&(k=Fn,A=lu,z=be,H=Z=>h()[Z>>>2>>>0]);wt(d,{name:b,fromWireType:Z=>{for(var pe=h()[Z>>>2>>>0],oe,we=Z+4,Le=0;Le<=pe;++Le){var He=Z+4+Le*g;(Le==pe||H(He)==0)&&(we=k(we,He-we),oe===void 0?oe=we:(oe+="\0",oe+=we),we=He+g)}return fr(Z),oe},toWireType:(Z,pe)=>{if(typeof pe!="string")throw new or(`Cannot pass non-string to C++ string type ${b}`);var oe=z(pe),we=ps(4+oe+g);return h()[we>>>2>>>0]=oe/g,A(pe,we+4,oe+g),Z!==null&&Z.push(fr,we),we},argPackAdvance:8,readValueFromPointer:dn,Bb(Z){fr(Z)}})},P:function(d,g){d>>>=0,g=Nt(g>>>0),wt(d,{Vb:!0,name:g,argPackAdvance:0,fromWireType:()=>{},toWireType:()=>{}})},ta:()=>1,S:function(d,g){d>>>=0,d==g>>>0?setTimeout(kt):j?postMessage({targetThread:d,cmd:"checkMailbox"}):(d=ve.ub[d])&&d.postMessage({cmd:"checkMailbox"})},$:function(d,g,b,k,A){g>>>=0,b>>>=0,k/=2,Ln.length=k,A=A>>>0>>>3;for(var z=0;z>>0];return d=g?Ma[g]:nk[d],ve.Sb=b,b=d(...Ln),ve.Sb=0,b},ha:Fr,sa:function(d){G&&ve.ub[d>>>0].ref()},w:function(d,g,b){return g>>>=0,b>>>=0,d=ht(d>>>0),g=Un(g,"emval::as"),Va(g,b,d)},y:function(d){return d>>>=0,le(()=>(d=ht(d),d.then(zt)))},o:function(d,g,b,k){return b>>>=0,k>>>=0,d=ie[d>>>0],g=ht(g>>>0),d(null,g,b,k)},k:function(d,g,b,k,A){return b>>>=0,k>>>=0,A>>>=0,d=ie[d>>>0],g=ht(g>>>0),b=Be(b),d(g,g[b],k,A)},c:Nn,C:function(d,g){return g>>>=0,d=ht(d>>>0),g=ht(g),d==g},n:function(d){return d>>>=0,d===0?zt(Fe()):(d=Be(d),zt(Fe()[d]))},j:function(d,g,b){g=Ee(d,g>>>0);var k=g.shift();d--;var A=`return function (obj, func, destructorsRef, args) { +`,z=0,H=[];b===0&&H.push("obj");for(var Z=["retType"],pe=[k],oe=0;oewe.name).join(", ")}) => ${k.name}>`,L(Re(b,d))},s:function(d,g){return g>>>=0,d=ht(d>>>0),g=ht(g),zt(d[g])},d:function(d){d>>>=0,9>>0);for(var g=Array(d.length),b=0;b>>0))},l:function(){return zt({})},i:function(d){d>>>=0;for(var g=ht(d);g.length;){var b=g.pop();g.pop()(b)}Nn(d)},h:function(d,g,b){g>>>=0,b>>>=0,d=ht(d>>>0),g=ht(g),b=ht(b),d[g]=b},e:function(d,g){return g>>>=0,d=Un(d>>>0,"_emval_take_value"),d=d.readValueFromPointer(g),zt(d)},ca:function(d,g){d=-9007199254740992>d||9007199254740992>>=0,d=new Date(1e3*d),c()[g>>>2>>>0]=d.getUTCSeconds(),c()[g+4>>>2>>>0]=d.getUTCMinutes(),c()[g+8>>>2>>>0]=d.getUTCHours(),c()[g+12>>>2>>>0]=d.getUTCDate(),c()[g+16>>>2>>>0]=d.getUTCMonth(),c()[g+20>>>2>>>0]=d.getUTCFullYear()-1900,c()[g+24>>>2>>>0]=d.getUTCDay(),d=(d.getTime()-Date.UTC(d.getUTCFullYear(),0,1,0,0,0,0))/864e5|0,c()[g+28>>>2>>>0]=d},da:function(d,g){d=-9007199254740992>d||9007199254740992>>=0,d=new Date(1e3*d),c()[g>>>2>>>0]=d.getSeconds(),c()[g+4>>>2>>>0]=d.getMinutes(),c()[g+8>>>2>>>0]=d.getHours(),c()[g+12>>>2>>>0]=d.getDate(),c()[g+16>>>2>>>0]=d.getMonth(),c()[g+20>>>2>>>0]=d.getFullYear()-1900,c()[g+24>>>2>>>0]=d.getDay();var b=(Tr(d.getFullYear())?$_:x_)[d.getMonth()]+d.getDate()-1|0;c()[g+28>>>2>>>0]=b,c()[g+36>>>2>>>0]=-(60*d.getTimezoneOffset()),b=new Date(d.getFullYear(),6,1).getTimezoneOffset();var k=new Date(d.getFullYear(),0,1).getTimezoneOffset();d=(b!=k&&d.getTimezoneOffset()==Math.min(k,b))|0,c()[g+32>>>2>>>0]=d},ea:function(d){d>>>=0;var g=new Date(c()[d+20>>>2>>>0]+1900,c()[d+16>>>2>>>0],c()[d+12>>>2>>>0],c()[d+8>>>2>>>0],c()[d+4>>>2>>>0],c()[d>>>2>>>0],0),b=c()[d+32>>>2>>>0],k=g.getTimezoneOffset(),A=new Date(g.getFullYear(),6,1).getTimezoneOffset(),z=new Date(g.getFullYear(),0,1).getTimezoneOffset(),H=Math.min(z,A);return 0>b?c()[d+32>>>2>>>0]=+(A!=z&&H==k):0>>2>>>0]=g.getDay(),b=(Tr(g.getFullYear())?$_:x_)[g.getMonth()]+g.getDate()-1|0,c()[d+28>>>2>>>0]=b,c()[d>>>2>>>0]=g.getSeconds(),c()[d+4>>>2>>>0]=g.getMinutes(),c()[d+8>>>2>>>0]=g.getHours(),c()[d+12>>>2>>>0]=g.getDate(),c()[d+16>>>2>>>0]=g.getMonth(),c()[d+20>>>2>>>0]=g.getYear(),d=g.getTime(),BigInt(isNaN(d)?-1:d/1e3)},aa:S_,ba:k_,R:function(d,g,b,k){d>>>=0,g>>>=0,b>>>=0,k>>>=0;var A=new Date().getFullYear(),z=new Date(A,0,1),H=new Date(A,6,1);A=z.getTimezoneOffset();var Z=H.getTimezoneOffset(),pe=Math.max(A,Z);h()[d>>>2>>>0]=60*pe,c()[g>>>2>>>0]=+(A!=Z),d=oe=>oe.toLocaleTimeString(void 0,{hour12:!1,timeZoneName:"short"}).split(" ")[1],z=d(z),H=d(H),Z{Je("")},f:function(d,g,b){return d>>>=0,g=E_(g>>>0,b>>>0),Ma[d](...g)},M:function(d,g,b){return d>>>=0,g=E_(g>>>0,b>>>0),Ma[d](...g)},H:()=>{},L:()=>Date.now(),ra:()=>{throw pt+=1,"unwind"},T:function(){return 4294901760},u:()=>performance.timeOrigin+performance.now(),x:()=>G?(L0(),Ur(Ju)).cpus().length:navigator.hardwareConcurrency,Q:function(d){d>>>=0;var g=o().length;if(d<=g||4294901760=b;b*=2){var k=g*(1+.2/b);k=Math.min(k,d+100663296);var A=Math;k=Math.max(d,k);e:{A=(A.min.call(A,4294901760,k+(65536-k%65536)%65536)-B.buffer.byteLength+65535)/65536;try{B.grow(A),ut();var z=1;break e}catch{}z=void 0}if(z)return!0}return!1},ja:T_,la:I_,Z:on,B:A_,J:M_,ga:O_,I:z_,a:B||p.wasmMemory,ka:B_,r:function(d,g,b,k){return B_(d>>>0,g>>>0,b>>>0,k>>>0)}},me=function(){function d(b,k){return me=b.exports,me=us(),me=ik(),ve.Qb.push(me.cb),sn.unshift(me.va),ae=k,Ia(),me}var g={a:ak};if(kr++,p.instantiateWasm)try{return p.instantiateWasm(g,d)}catch(b){ue(`Module.instantiateWasm callback failed with error: ${b}`),v(b)}return hr(g,function(b){d(b.instance,b.module)}).catch(v),{}}(),N_=d=>(N_=me.wa)(d);p.__embind_initialize_bindings=()=>(p.__embind_initialize_bindings=me.xa)(),p._OrtInit=(d,g)=>(p._OrtInit=me.ya)(d,g),p._OrtGetLastError=(d,g)=>(p._OrtGetLastError=me.za)(d,g),p._OrtCreateSessionOptions=(d,g,b,k,A,z,H,Z,pe,oe)=>(p._OrtCreateSessionOptions=me.Aa)(d,g,b,k,A,z,H,Z,pe,oe),p._OrtAppendExecutionProvider=(d,g)=>(p._OrtAppendExecutionProvider=me.Ba)(d,g),p._OrtAddFreeDimensionOverride=(d,g,b)=>(p._OrtAddFreeDimensionOverride=me.Ca)(d,g,b),p._OrtAddSessionConfigEntry=(d,g,b)=>(p._OrtAddSessionConfigEntry=me.Da)(d,g,b),p._OrtReleaseSessionOptions=d=>(p._OrtReleaseSessionOptions=me.Ea)(d),p._OrtCreateSession=(d,g,b)=>(p._OrtCreateSession=me.Fa)(d,g,b),p._OrtReleaseSession=d=>(p._OrtReleaseSession=me.Ga)(d),p._OrtGetInputOutputCount=(d,g,b)=>(p._OrtGetInputOutputCount=me.Ha)(d,g,b),p._OrtGetInputName=(d,g)=>(p._OrtGetInputName=me.Ia)(d,g),p._OrtGetOutputName=(d,g)=>(p._OrtGetOutputName=me.Ja)(d,g),p._OrtFree=d=>(p._OrtFree=me.Ka)(d),p._OrtCreateTensor=(d,g,b,k,A,z)=>(p._OrtCreateTensor=me.La)(d,g,b,k,A,z),p._OrtGetTensorData=(d,g,b,k,A)=>(p._OrtGetTensorData=me.Ma)(d,g,b,k,A),p._OrtReleaseTensor=d=>(p._OrtReleaseTensor=me.Na)(d),p._OrtCreateRunOptions=(d,g,b,k)=>(p._OrtCreateRunOptions=me.Oa)(d,g,b,k),p._OrtAddRunConfigEntry=(d,g,b)=>(p._OrtAddRunConfigEntry=me.Pa)(d,g,b),p._OrtReleaseRunOptions=d=>(p._OrtReleaseRunOptions=me.Qa)(d),p._OrtCreateBinding=d=>(p._OrtCreateBinding=me.Ra)(d),p._OrtBindInput=(d,g,b)=>(p._OrtBindInput=me.Sa)(d,g,b),p._OrtBindOutput=(d,g,b,k)=>(p._OrtBindOutput=me.Ta)(d,g,b,k),p._OrtClearBoundOutputs=d=>(p._OrtClearBoundOutputs=me.Ua)(d),p._OrtReleaseBinding=d=>(p._OrtReleaseBinding=me.Va)(d),p._OrtRunWithBinding=(d,g,b,k,A)=>(p._OrtRunWithBinding=me.Wa)(d,g,b,k,A),p._OrtRun=(d,g,b,k,A,z,H,Z)=>(p._OrtRun=me.Xa)(d,g,b,k,A,z,H,Z),p._OrtEndProfiling=d=>(p._OrtEndProfiling=me.Ya)(d),p._JsepOutput=(d,g,b)=>(p._JsepOutput=me.Za)(d,g,b),p._JsepGetNodeName=d=>(p._JsepGetNodeName=me._a)(d);var cs=p._pthread_self=()=>(cs=p._pthread_self=me.$a)(),ps=p._malloc=d=>(ps=p._malloc=me.ab)(d),fr=p._free=d=>(fr=p._free=me.bb)(d);p.__emscripten_tls_init=()=>(p.__emscripten_tls_init=me.cb)();var F_=p.__emscripten_thread_init=(d,g,b,k,A,z)=>(F_=p.__emscripten_thread_init=me.eb)(d,g,b,k,A,z);p.__emscripten_thread_crashed=()=>(p.__emscripten_thread_crashed=me.fb)();var L_=(d,g,b,k,A)=>(L_=me.gb)(d,g,b,k,A),hu=d=>(hu=me.hb)(d),fu=p.__emscripten_thread_exit=d=>(fu=p.__emscripten_thread_exit=me.ib)(d),U_=()=>(U_=me.jb)(),W_=(d,g)=>(W_=me.kb)(d,g),hs=d=>(hs=me.lb)(d),mu=d=>(mu=me.mb)(d),gu=()=>(gu=me.nb)(),V_=p.dynCall_ii=(d,g)=>(V_=p.dynCall_ii=me.pb)(d,g),G_=d=>(G_=me.qb)(d),H_=()=>(H_=me.rb)(),j_=d=>(j_=me.sb)(d),q_=()=>(q_=me.tb)();p.___start_em_js=839500,p.___stop_em_js=839661;function ik(){var d=me;d=Object.assign({},d);var g=k=>A=>k(A)>>>0,b=k=>()=>k()>>>0;return d.wa=g(d.wa),d.$a=b(d.$a),d.ab=g(d.ab),d.emscripten_main_runtime_thread_id=b(d.emscripten_main_runtime_thread_id),d.mb=g(d.mb),d.nb=b(d.nb),d}p.wasmMemory=B,p.stackSave=()=>gu(),p.stackRestore=d=>hs(d),p.stackAlloc=d=>mu(d),p.keepRuntimeAlive=()=>0r)}),W0=hn((t,e)=>{e.exports='"use strict";var Module={},ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require("worker_threads"),parentPort=nodeWorkerThreads.parentPort;parentPort.on("message",e=>onmessage({data:e}));var fs=require("fs"),vm=require("vm");Object.assign(global,{self:global,require,Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:e=>vm.runInThisContext(fs.readFileSync(e,"utf8"),{filename:e}),postMessage:e=>parentPort.postMessage(e),performance:global.performance||{now:Date.now}})}var initializedJS=!1;function threadPrintErr(...e){var a=e.join(" ");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,a+`\n`);return}console.error(a)}function threadAlert(...e){var a=e.join(" ");postMessage({cmd:"alert",text:a,threadId:Module._pthread_self()})}var err=threadPrintErr;self.alert=threadAlert,Module.instantiateWasm=(e,a)=>{var r=Module.wasmModule;Module.wasmModule=null;var t=new WebAssembly.Instance(r,e);return a(t)},self.onunhandledrejection=e=>{throw e.reason||e};function handleMessage(e){try{if(e.data.cmd==="load"){let r=[];self.onmessage=t=>r.push(t),self.startWorker=t=>{Module=t,postMessage({cmd:"loaded"});for(let s of r)handleMessage(s);self.onmessage=handleMessage},Module.wasmModule=e.data.wasmModule;for(const t of e.data.handlers)Module[t]=(...s)=>{postMessage({cmd:"callHandler",handler:t,args:s})};if(Module.wasmMemory=e.data.wasmMemory,Module.buffer=Module.wasmMemory.buffer,Module.ENVIRONMENT_IS_PTHREAD=!0,typeof e.data.urlOrBlob=="string")importScripts(e.data.urlOrBlob);else{var a=URL.createObjectURL(e.data.urlOrBlob);importScripts(a),URL.revokeObjectURL(a)}ortWasmThreaded(Module)}else if(e.data.cmd==="run"){Module.__emscripten_thread_init(e.data.pthread_ptr,0,0,1),Module.__emscripten_thread_mailbox_await(e.data.pthread_ptr),Module.establishStackSpace(),Module.PThread.receiveObjectTransfer(e.data),Module.PThread.threadInitTLS(),initializedJS||(initializedJS=!0);try{Module.invokeEntryPoint(e.data.start_routine,e.data.arg)}catch(r){if(r!="unwind")throw r}}else e.data.cmd==="cancel"?Module._pthread_self()&&Module.__emscripten_thread_exit(-1):e.data.target==="setimmediate"||(e.data.cmd==="checkMailbox"?initializedJS&&Module.checkMailbox():e.data.cmd&&(err(`worker.js received unknown command ${e.data.cmd}`),err(e.data)))}catch(r){throw Module.__emscripten_thread_crashed?.(),r}}self.onmessage=handleMessage;\n'}),el,tl,Ms,ei,qn,Os,rl,nl,al,il,nt,Kn=ee(()=>{el=D0(),tl=U0(),ei=!1,qn=!1,Os=!1,rl=t=>{if(t===1)return!1;if(typeof SharedArrayBuffer>"u")return typeof self<"u"&&!self.crossOriginIsolated&&console.warn("env.wasm.numThreads is set to "+t+", but this will not work unless you enable crossOriginIsolated mode. See https://web.dev/cross-origin-isolation-guide/ for more info."),!1;typeof process<"u"&&process.versions&&process.versions.node&&console.warn("env.wasm.numThreads is set to "+t+", however, currently onnxruntime-web does not support multi-threads in Node.js. Please consider using onnxruntime-node for performance critical scenarios.");try{return typeof MessageChannel<"u"&&new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch{return!1}},nl=()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,30,1,28,0,65,0,253,15,253,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,253,186,1,26,11]))}catch{return!1}},al=(t,e)=>t?e?"ort-wasm-simd-threaded.wasm":"ort-wasm-simd.wasm":e?"ort-wasm-threaded.wasm":"ort-wasm.wasm",il=async t=>{if(ei)return Promise.resolve();if(qn)throw new Error("multiple calls to 'initializeWebAssembly()' detected.");if(Os)throw new Error("previous call to 'initializeWebAssembly()' failed.");qn=!0;let e=t.initTimeout,r=t.numThreads,n=t.simd,a=rl(r),s=n&&nl(),i=t.wasmPaths,o=typeof i=="string"?i:void 0,u=al(s,a),l=typeof i=="object"?i[u]:void 0,c=!1,h=[];if(e>0&&h.push(new Promise(m=>{setTimeout(()=>{c=!0,m()},e)})),h.push(new Promise((m,_)=>{let p=a?tl:el,y={locateFile:(v,S)=>{if(a&&v.endsWith(".worker.js")&&typeof Blob<"u")return URL.createObjectURL(new Blob([W0()],{type:"text/javascript"}));if(v.endsWith(".wasm")){if(l)return l;let x=o??S;return u==="ort-wasm-simd.wasm"?x+"ort-wasm-simd.jsep.wasm":u==="ort-wasm-simd-threaded.wasm"?x+"ort-wasm-simd-threaded.jsep.wasm":x+u}return S+v}};if(a)if(y.numThreads=r,typeof Blob>"u")y.mainScriptUrlOrBlob=(void 0)(__dirname,"ort-wasm-threaded.js");else{let v=`var ortWasmThreaded=${p.toString()};`;y.mainScriptUrlOrBlob=new Blob([v],{type:"text/javascript"})}p(y).then(v=>{qn=!1,ei=!0,Ms=v,m()},v=>{qn=!1,Os=!0,_(v)})})),await Promise.race(h),c)throw new Error(`WebAssembly backend initializing failed due to timeout: ${e}ms`)},nt=()=>{if(ei&&Ms)return Ms;throw new Error("WebAssembly is not initialized yet.")}}),et,ti,qe,zs=ee(()=>{Kn(),et=(t,e)=>{let r=nt(),n=r.lengthBytesUTF8(t)+1,a=r._malloc(n);return r.stringToUTF8(t,a,n),e.push(a),a},ti=(t,e,r,n)=>{if(typeof t=="object"&&t!==null){if(r.has(t))throw new Error("Circular reference in options");r.add(t)}Object.entries(t).forEach(([a,s])=>{let i=e?e+a:a;if(typeof s=="object")ti(s,i+".",r,n);else if(typeof s=="string"||typeof s=="number")n(i,s.toString());else if(typeof s=="boolean")n(i,s?"1":"0");else throw new Error(`Can't handle extra config type: ${typeof s}`)})},qe=t=>{let e=nt(),r=e.stackSave();try{let n=e.stackAlloc(8);e._OrtGetLastError(n,n+4);let a=e.HEAP32[n/4],s=e.HEAPU32[n/4+1],i=s?e.UTF8ToString(s):"";throw new Error(`${t} ERROR_CODE: ${a}, ERROR_MESSAGE: ${i}`)}finally{e.stackRestore(r)}}}),sl,V0=ee(()=>{Kn(),zs(),sl=t=>{let e=nt(),r=0,n=[],a=t||{};try{if((t==null?void 0:t.logSeverityLevel)===void 0)a.logSeverityLevel=2;else if(typeof t.logSeverityLevel!="number"||!Number.isInteger(t.logSeverityLevel)||t.logSeverityLevel<0||t.logSeverityLevel>4)throw new Error(`log serverity level is not valid: ${t.logSeverityLevel}`);if((t==null?void 0:t.logVerbosityLevel)===void 0)a.logVerbosityLevel=0;else if(typeof t.logVerbosityLevel!="number"||!Number.isInteger(t.logVerbosityLevel))throw new Error(`log verbosity level is not valid: ${t.logVerbosityLevel}`);(t==null?void 0:t.terminate)===void 0&&(a.terminate=!1);let s=0;return(t==null?void 0:t.tag)!==void 0&&(s=et(t.tag,n)),r=e._OrtCreateRunOptions(a.logSeverityLevel,a.logVerbosityLevel,!!a.terminate,s),r===0&&qe("Can't create run options."),(t==null?void 0:t.extra)!==void 0&&ti(t.extra,"",new WeakSet,(i,o)=>{let u=et(i,n),l=et(o,n);e._OrtAddRunConfigEntry(r,u,l)!==0&&qe(`Can't set a run config entry: ${i} - ${o}.`)}),[r,n]}catch(s){throw r!==0&&e._OrtReleaseRunOptions(r),n.forEach(i=>e._free(i)),s}}}),ol,ul,ll,dl,cl,G0=ee(()=>{Kn(),zs(),ol=t=>{switch(t){case"disabled":return 0;case"basic":return 1;case"extended":return 2;case"all":return 99;default:throw new Error(`unsupported graph optimization level: ${t}`)}},ul=t=>{switch(t){case"sequential":return 0;case"parallel":return 1;default:throw new Error(`unsupported execution mode: ${t}`)}},ll=t=>{t.extra||(t.extra={}),t.extra.session||(t.extra.session={});let e=t.extra.session;e.use_ort_model_bytes_directly||(e.use_ort_model_bytes_directly="1"),t.executionProviders&&t.executionProviders.some(r=>(typeof r=="string"?r:r.name)==="webgpu")&&(t.enableMemPattern=!1)},dl=(t,e,r)=>{for(let n of e){let a=typeof n=="string"?n:n.name;switch(a){case"webnn":if(a="WEBNN",typeof n!="string"){let i=n;if(i!=null&&i.deviceType){let o=et("deviceType",r),u=et(i.deviceType,r);nt()._OrtAddSessionConfigEntry(t,o,u)!==0&&qe(`Can't set a session config entry: 'deviceType' - ${i.deviceType}.`)}if(i!=null&&i.numThreads){let o=i.numThreads;(typeof o!="number"||!Number.isInteger(o)||o<0)&&(o=0);let u=et("numThreads",r),l=et(o.toString(),r);nt()._OrtAddSessionConfigEntry(t,u,l)!==0&&qe(`Can't set a session config entry: 'numThreads' - ${i.numThreads}.`)}if(i!=null&&i.powerPreference){let o=et("powerPreference",r),u=et(i.powerPreference,r);nt()._OrtAddSessionConfigEntry(t,o,u)!==0&&qe(`Can't set a session config entry: 'powerPreference' - ${i.powerPreference}.`)}}break;case"webgpu":if(a="JS",typeof n!="string"){let i=n;if(i!=null&&i.preferredLayout){if(i.preferredLayout!=="NCHW"&&i.preferredLayout!=="NHWC")throw new Error(`preferredLayout must be either 'NCHW' or 'NHWC': ${i.preferredLayout}`);let o=et("preferredLayout",r),u=et(i.preferredLayout,r);nt()._OrtAddSessionConfigEntry(t,o,u)!==0&&qe(`Can't set a session config entry: 'preferredLayout' - ${i.preferredLayout}.`)}}break;case"wasm":case"cpu":continue;default:throw new Error(`not supported execution provider: ${a}`)}let s=et(a,r);nt()._OrtAppendExecutionProvider(t,s)!==0&&qe(`Can't append execution provider: ${a}.`)}},cl=t=>{let e=nt(),r=0,n=[],a=t||{};ll(a);try{let s=ol(a.graphOptimizationLevel??"all"),i=ul(a.executionMode??"sequential"),o=typeof a.logId=="string"?et(a.logId,n):0,u=a.logSeverityLevel??2;if(!Number.isInteger(u)||u<0||u>4)throw new Error(`log serverity level is not valid: ${u}`);let l=a.logVerbosityLevel??0;if(!Number.isInteger(l)||l<0||l>4)throw new Error(`log verbosity level is not valid: ${l}`);let c=typeof a.optimizedModelFilePath=="string"?et(a.optimizedModelFilePath,n):0;if(r=e._OrtCreateSessionOptions(s,!!a.enableCpuMemArena,!!a.enableMemPattern,i,!!a.enableProfiling,0,o,u,l,c),r===0&&qe("Can't create session options."),a.executionProviders&&dl(r,a.executionProviders,n),a.enableGraphCapture!==void 0){if(typeof a.enableGraphCapture!="boolean")throw new Error(`enableGraphCapture must be a boolean value: ${a.enableGraphCapture}`);let h=et("enableGraphCapture",n),m=et(a.enableGraphCapture.toString(),n);e._OrtAddSessionConfigEntry(r,h,m)!==0&&qe(`Can't set a session config entry: 'enableGraphCapture' - ${a.enableGraphCapture}.`)}if(a.freeDimensionOverrides)for(let[h,m]of Object.entries(a.freeDimensionOverrides)){if(typeof h!="string")throw new Error(`free dimension override name must be a string: ${h}`);if(typeof m!="number"||!Number.isInteger(m)||m<0)throw new Error(`free dimension override value must be a non-negative integer: ${m}`);let _=et(h,n);e._OrtAddFreeDimensionOverride(r,_,m)!==0&&qe(`Can't set a free dimension override: ${h} - ${m}.`)}return a.extra!==void 0&&ti(a.extra,"",new WeakSet,(h,m)=>{let _=et(h,n),p=et(m,n);e._OrtAddSessionConfigEntry(r,_,p)!==0&&qe(`Can't set a session config entry: ${h} - ${m}.`)}),[r,n]}catch(s){throw r!==0&&e._OrtReleaseSessionOptions(r),n.forEach(i=>e._free(i)),s}}}),Rs,Gr,Yn,Ps,ri,Bs,Ds,xe=ee(()=>{Rs=t=>{switch(t){case"int8":return 3;case"uint8":return 2;case"bool":return 9;case"int16":return 5;case"uint16":return 4;case"int32":return 6;case"uint32":return 12;case"float16":return 10;case"float32":return 1;case"float64":return 11;case"string":return 8;case"int64":return 7;case"uint64":return 13;default:throw new Error(`unsupported data type: ${t}`)}},Gr=t=>{switch(t){case 3:return"int8";case 2:return"uint8";case 9:return"bool";case 5:return"int16";case 4:return"uint16";case 6:return"int32";case 12:return"uint32";case 10:return"float16";case 1:return"float32";case 11:return"float64";case 8:return"string";case 7:return"int64";case 13:return"uint64";default:throw new Error(`unsupported data type: ${t}`)}},Yn=t=>[void 0,4,1,1,2,2,4,8,void 0,1,2,8,4,8,void 0,void 0,void 0][t],Ps=t=>{switch(t){case"float16":return typeof Float16Array<"u"&&Float16Array.from?Float16Array:Uint16Array;case"float32":return Float32Array;case"uint8":return Uint8Array;case"int8":return Int8Array;case"uint16":return Uint16Array;case"int16":return Int16Array;case"int32":return Int32Array;case"bool":return Uint8Array;case"float64":return Float64Array;case"uint32":return Uint32Array;case"int64":return BigInt64Array;case"uint64":return BigUint64Array;default:throw new Error(`unsupported type: ${t}`)}},ri=t=>{switch(t){case"verbose":return 0;case"info":return 1;case"warning":return 2;case"error":return 3;case"fatal":return 4;default:throw new Error(`unsupported logging level: ${t}`)}},Bs=t=>t==="float32"||t==="float16"||t==="int32"||t==="int64"||t==="uint32"||t==="uint8"||t==="bool",Ds=t=>{switch(t){case"none":return 0;case"cpu":return 1;case"cpu-pinned":return 2;case"texture":return 3;case"gpu-buffer":return 4;default:throw new Error(`unsupported data location: ${t}`)}}}),ni,pl=ee(()=>{ni=async t=>{if(typeof t=="string")if(typeof process<"u"&&process.versions&&process.versions.node)try{return new Uint8Array(await(void 0)(t))}catch(e){if(e.code==="ERR_FS_FILE_TOO_LARGE"){let r=(void 0)(t),n=[];for await(let a of r)n.push(a);return new Uint8Array(Buffer.concat(n))}throw e}else{let e=await fetch(t);if(!e.ok)throw new Error(`failed to load external data file: ${t}`);let r=e.headers.get("Content-Length"),n=r?parseInt(r,10):0;if(n<1073741824)return new Uint8Array(await e.arrayBuffer());{if(!e.body)throw new Error(`failed to load external data file: ${t}, no response body.`);let a=e.body.getReader(),s;try{s=new ArrayBuffer(n)}catch(o){if(o instanceof RangeError){let u=Math.ceil(n/65536);s=new WebAssembly.Memory({initial:u,maximum:u}).buffer}else throw o}let i=0;for(;;){let{done:o,value:u}=await a.read();if(o)break;let l=u.byteLength;new Uint8Array(s,i,l).set(u),i+=l}return new Uint8Array(s,0,n)}}else return t instanceof Blob?new Uint8Array(await t.arrayBuffer()):t instanceof Uint8Array?t:new Uint8Array(t)}}),hl,fl,ml,gl,_l,wl,tt,Hr=ee(()=>{xe(),hl=["V","I","W","E","F"],fl=(t,e)=>{console.log(`[${hl[t]},${new Date().toISOString()}]${e}`)},_l=(t,e)=>{ml=t,gl=e},wl=(t,e)=>{let r=ri(t),n=ri(ml);r>=n&&fl(r,typeof e=="function"?e():e)},tt=(...t)=>{gl&&wl(...t)}}),yl,H0=ee(()=>{xe(),yl=(t,e)=>new(Ps(e))(t)}),Ns=ee(()=>{}),Fs,ai,ii,bl,vl,Ls,Us,$l,xl,j0=ee(()=>{Hr(),Ns(),Fs=new Map([[64,250],[128,200],[256,200],[512,200],[2048,230],[4096,200],[8192,50],[16384,50],[32768,50],[65536,50],[131072,50],[262144,50],[524288,50],[1048576,50],[2097152,30],[4194304,20],[8388608,10],[12582912,10],[16777216,10],[26214400,15],[33554432,22],[44236800,2],[58982400,6],[67108864,6],[134217728,6],[167772160,6]]),ai=[],ii=t=>Math.ceil(t/16)*16,bl=t=>{for(let e=0;evl++,Us=async(t,e,r,n)=>{let a=ii(r),s=t.device.createBuffer({size:a,usage:GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ});try{let i=t.getCommandEncoder();t.endComputePass(),i.copyBufferToBuffer(e,0,s,0,a),t.flush(),await s.mapAsync(GPUMapMode.READ);let o=s.getMappedRange();if(n){let u=n();return u.set(new Uint8Array(o,0,r)),u}else return new Uint8Array(o.slice(0,r))}finally{s.destroy()}},$l=class{constructor(t){this.backend=t,this.storageCache=new Map,this.freeBuffers=new Map,this.freeUniformBuffers=new Map,this.buffersForUploadingPending=[],this.buffersPending=[],this.externalBuffers=new Map,this.capturedPendingBuffers=new Map;for(let[e]of Fs)ai.push(e),this.freeBuffers.set(e,[]),this.freeUniformBuffers.set(e,[])}upload(t,e){let r=e.buffer,n=e.byteOffset,a=e.byteLength,s=ii(a),i=this.storageCache.get(t);if(!i)throw new Error("gpu data for uploading does not exist");if(i.originalSize!==a)throw new Error(`inconsistent data size. gpu data size=${i.originalSize}, data size=${a}`);let o=this.backend.device.createBuffer({mappedAtCreation:!0,size:s,usage:GPUBufferUsage.MAP_WRITE|GPUBufferUsage.COPY_SRC}),u=o.getMappedRange();new Uint8Array(u).set(new Uint8Array(r,n,a)),o.unmap();let l=this.backend.getCommandEncoder();this.backend.endComputePass(),l.copyBufferToBuffer(o,0,i.gpuData.buffer,0,s),tt("verbose",()=>`[WebGPU] GpuDataManager.upload(id=${t})`),this.buffersForUploadingPending.push(o)}memcpy(t,e){let r=this.storageCache.get(t);if(!r)throw new Error("source gpu data for memcpy does not exist");let n=this.storageCache.get(e);if(!n)throw new Error("destination gpu data for memcpy does not exist");if(r.originalSize!==n.originalSize)throw new Error("inconsistent source and destination gpu data size");let a=ii(r.originalSize),s=this.backend.getCommandEncoder();this.backend.endComputePass(),s.copyBufferToBuffer(r.gpuData.buffer,0,n.gpuData.buffer,0,a)}registerExternalBuffer(t,e,r){let n;if(r){if(n=this.externalBuffers.get(r),n===void 0)throw new Error("previous buffer is not registered");if(t===r)return tt("verbose",()=>`[WebGPU] GpuDataManager.registerExternalBuffer(size=${e}) => id=${n}, buffer is the same, skip.`),n;if(this.backend.capturedCommandList.has(this.backend.currentSessionId))throw new Error(`Registering a different external buffer under graph capture mode is not supported yet. + Please use the previous external buffer!`);this.externalBuffers.delete(r)}else n=Ls();return this.storageCache.set(n,{gpuData:{id:n,type:0,buffer:t},originalSize:e}),this.externalBuffers.set(t,n),tt("verbose",()=>`[WebGPU] GpuDataManager.registerExternalBuffer(size=${e}) => id=${n}, registered.`),n}unregisterExternalBuffer(t){let e=this.externalBuffers.get(t);e!==void 0&&(this.storageCache.delete(e),this.externalBuffers.delete(t),tt("verbose",()=>`[WebGPU] GpuDataManager.unregisterExternalBuffer() => id=${e}`))}create(t,e=GPUBufferUsage.STORAGE|GPUBufferUsage.COPY_SRC|GPUBufferUsage.COPY_DST){let r=bl(t),n,a=(e&GPUBufferUsage.STORAGE)===GPUBufferUsage.STORAGE,s=(e&GPUBufferUsage.UNIFORM)===GPUBufferUsage.UNIFORM;if(a||s){let o=(a?this.freeBuffers:this.freeUniformBuffers).get(r);o?o.length>0?n=o.pop():n=this.backend.device.createBuffer({size:r,usage:e}):n=this.backend.device.createBuffer({size:r,usage:e})}else n=this.backend.device.createBuffer({size:r,usage:e});let i={id:Ls(),type:0,buffer:n};return this.storageCache.set(i.id,{gpuData:i,originalSize:t}),tt("verbose",()=>`[WebGPU] GpuDataManager.create(size=${t}) => id=${i.id}`),i}get(t){var e;return(e=this.storageCache.get(t))==null?void 0:e.gpuData}release(t){let e=this.storageCache.get(t);if(!e)throw new Error("releasing data does not exist");return tt("verbose",()=>`[WebGPU] GpuDataManager.release(id=${t}), gpuDataId=${e.gpuData.id}`),this.storageCache.delete(t),this.buffersPending.push(e.gpuData.buffer),e.originalSize}async download(t,e){let r=this.storageCache.get(t);if(!r)throw new Error("data does not exist");await Us(this.backend,r.gpuData.buffer,r.originalSize,e)}refreshPendingBuffers(){for(let t of this.buffersForUploadingPending)t.destroy();if(this.buffersForUploadingPending=[],this.buffersPending.length!==0)if(this.backend.sessionStatus==="default"){for(let t of this.buffersPending){let e=Fs.get(t.size);if((t.usage&GPUBufferUsage.STORAGE)===GPUBufferUsage.STORAGE){let r=this.freeBuffers.get(t.size)||[];e===void 0||r.length>=e?t.destroy():r.push(t)}else if((t.usage&GPUBufferUsage.UNIFORM)===GPUBufferUsage.UNIFORM){let r=this.freeUniformBuffers.get(t.size)||[];e===void 0||r.length>=e?t.destroy():r.push(t)}else t.destroy()}this.buffersPending=[]}else{let t=this.capturedPendingBuffers.get(this.backend.currentSessionId);t||(t=[],this.capturedPendingBuffers.set(this.backend.currentSessionId,t));for(let e of this.buffersPending)t.push(e);this.buffersPending=[]}}dispose(){this.freeBuffers.forEach(t=>{t.forEach(e=>{e.destroy()})}),this.freeUniformBuffers.forEach(t=>{t.forEach(e=>{e.destroy()})}),this.storageCache.forEach(t=>{t.gpuData.buffer.destroy()}),this.capturedPendingBuffers.forEach(t=>{t.forEach(e=>{e.destroy()})}),this.storageCache=new Map,this.freeBuffers=new Map,this.freeUniformBuffers=new Map,this.capturedPendingBuffers=new Map}onReleaseSession(t){let e=this.capturedPendingBuffers.get(t);e&&(e.forEach(r=>{r.destroy()}),this.capturedPendingBuffers.delete(t))}},xl=(...t)=>new $l(...t)}),Sl,Ke,dt=ee(()=>{Sl=class{constructor(t){Object.assign(this,t)}get cacheKey(){return this.key||(this.key=Object.getOwnPropertyNames(this).sort().map(t=>`${this[t]}`).join(";")),this.key}},Ke=t=>new Sl(t)}),kl,mn,X,si,El,Ws,Vs,Oe=ee(()=>{kl=class{static calcMatMulShape(t,e){return t[1]!==e[0]?void 0:[t[0],e[1]]}},mn=class{static calcShape(t,e,r=!1){let n=t.length,a=e.length;if(n===0)return e;if(a===0)return t;let s=Math.max(t.length,e.length),i=new Array(s);if(r){if(n<2||a<2)return;let o=kl.calcMatMulShape([t[n-2],t[n-1]],[e[a-2],e[a-1]]);if(o===void 0)return;[i[s-2],i[s-1]]=o}for(let o=r?3:1;o<=s;o++){let u=n-o<0?1:t[n-o],l=a-o<0?1:e[a-o];if(u!==l&&u>1&&l>1)return;let c=Math.max(u,l);if(u&&l)i[s-o]=Math.max(u,l);else{if(c>1)return;i[s-o]=0}}return i}static isValidBroadcast(t,e){let r=t.length,n=e.length;if(r>n)return!1;for(let a=1;a<=r;a++)if(t[r-a]!==1&&t[r-a]!==e[n-a])return!1;return!0}},X=class ms{static size(e){return ms.getSizeFromDimensionRange(e,0,e.length)}static convertShape(e,r=4){let n=e.length;if(n===0)return[];let a=new Array(n),s=n-1;for(;s>=0;){if(e[s]%r===0){a[s]=e[s]/r;break}if(r%e[s]!==0)throw new Error("cannot convert shape");a[s]=1,r/=e[s],s--}for(s--;s>=0;s--)a[s]=e[s];return a}static sizeFromDimension(e,r){if(r<0||r>e.length)throw new Error(`invalid dimension of ${r} for sizeFromDimension as Tensor has ${e.length} dimensions.`);return ms.getSizeFromDimensionRange(e,r,e.length)}static sizeToDimension(e,r){if(r<0||r>e.length)throw new Error(`invalid dimension of ${r} for sizeToDimension as Tensor has ${e.length} dimensions.`);return ms.getSizeFromDimensionRange(e,0,r)}static getSizeFromDimensionRange(e,r,n){let a=1;for(let s=r;s=0;--a)n[a]=n[a+1]*e[a+1];return n}static normalizeAxis(e,r){if(e<-r&&e>=r)throw new Error("unsupported axis for this operation.");return e<0?e+r:e}static normalizeAxes(e,r){return e.map(n=>this.normalizeAxis(n,r??e.length))}static sortBasedOnPerm(e,r){return r?r.map(n=>e[n]):e.slice().reverse()}static padShape(e,r){let n=e.length;return e.map((a,s)=>a+r[s]+r[s+n])}static areEqual(e,r){return e.length!==r.length?!1:e.every((n,a)=>n===r[a])}},si=class Ha{static adjustPoolAttributes(e,r,n,a,s,i){if(!e&&n.length!==r.length-2)throw new Error("length of specified kernel shapes should be 2 less than length of input dimensions");if(e)for(let o=0;o=n.length?n.push(r[o+2]):n[o]=r[o+2];for(let o=0;o=n[o]||i[o+n.length]>=n[o])throw new Error("pads should be smaller than kernel")}}static adjustPadsBasedOnAutoPad(e,r,n,a,s,i,o){if(o){if(s.length!==2*(e.length-2))throw new Error("length of pads should be twice the length of data dimensions");if(r.length!==e.length-2)throw new Error("length of strides should be the length of data dimensions");if(a.length!==e.length-2)throw new Error("length of kernel shapes should be the length of data dimensions");for(let u=0;u{xe(),Oe(),gn=64,oi=(t,e)=>{if(e===3)throw new Error("vec3 has same alignment as vec4, use vec4 instead");switch(t){case 10:return e>1?`vec${e}`:"f16";case 1:return e>1?`vec${e}`:"f32";case 6:return e>1?`vec${e}`:"i32";case 12:return e>1?`vec${e}`:"u32";case 7:if(e>1)throw new Error("currently not supported vecX of uint64 yet");return["vec2","i32"];case 13:if(e>1)throw new Error("currently not supported vecX of uint64 yet");return["vec2","u32"];case 9:if(e!==4)throw new Error("bool must be vec4");return["u32","vec4"];default:throw new Error(`Unknown data type: ${t}`)}},ft=(t,e=1)=>{let r=oi(t,e);return typeof r=="string"?r:r[0]},Et=(t,e=1)=>{let r=oi(t,e);return typeof r=="string"?r:r[1]},ye=(...t)=>{let e=[];return t.forEach(r=>{r.length!==0&&e.push({type:12,data:r},{type:12,data:X.computeStrides(r)})}),e},at=t=>t%4===0?4:t%2===0?2:1,yr=(t="f32",e,r="0")=>!e||e===1?`${t}(${r})`:`vec${e}<${t}>(${r})`,_n=(t,e,r)=>t==="f32"?r:e===1?`f32(${r})`:`vec${e}(${r})`,Or=(t,e)=>e===4?`(${t}.x + ${t}.y + ${t}.z + ${t}.w)`:e===2?`(${t}.x + ${t}.y)`:e===3?`(${t}.x + ${t}.y + ${t}.z)`:t,ke=(t,e,r,n)=>t.startsWith("uniforms.")&&r>4?typeof e=="string"?n==="f16"?`${t}[(${e}) / 8][(${e}) % 8 / 4][(${e}) % 8 % 4]`:`${t}[(${e}) / 4][(${e}) % 4]`:n==="f16"?`${t}[${Math.floor(e/8)}][${Math.floor(e%8/4)}][${e%8%4}]`:`${t}[${Math.floor(e/4)}][${e%4}]`:r>1?`${t}[${e}]`:t,ui=(t,e,r,n,a)=>{let s=typeof r=="number",i=s?r:r.length,o=[...new Array(i).keys()],u=i<2?"u32":i<=4?`vec${i}`:`array`,l=oi(e,a),c=typeof l=="string"?l:l[1],h=typeof l=="string"?l:l[0],m={indices:u,value:c,storage:h,tensor:e},_=B=>typeof B=="string"?B:`${B}u`,p={offsetToIndices:!1,indicesToOffset:!1,broadcastedIndicesToOffset:!1,set:!1,setByIndices:!1,get:!1,getByIndices:!1},y=s?"uniforms.":"",v=`${y}${t}_shape`,S=`${y}${t}_strides`,x="";for(let B=0;B ${m.indices} { + var indices: ${m.indices}; + var current = offset; + ${x} + return indices; + }`,T=B=>(p.offsetToIndices=!0,i<2?B:`o2i_${t}(${B})`),I=[];if(i>=2)for(let B=i-1;B>=0;B--)I.push(`${ke(S,B,i)} * (indices[${B}])`);let R=i<2?"":` + fn i2o_${t}(indices: ${m.indices}) -> u32 { + return ${I.join("+")}; + }`,P=B=>(p.indicesToOffset=!0,i<2?B:`i2o_${t}(${B})`),G=(...B)=>i===0?"0u":`${m.indices}(${B.map(_).join(",")})`,j=(B,ae)=>i<2?`${B}`:`${ke(B,ae,i)}`,K=(B,ae,de)=>i<2?`${B}=${de};`:`${ke(B,ae,i)}=${de};`,he={},ne=(B,ae)=>{p.broadcastedIndicesToOffset=!0;let de=`${ae.name}broadcastedIndicesTo${t}Offset`;if(de in he)return`${de}(${B})`;let Se=[];for(let Te=i-1;Te>=0;Te--){let Xe=ae.indicesGet("outputIndices",Te+ae.rank-i);Se.push(`${j(S,Te)} * (${Xe} % ${j(v,Te)})`)}return he[de]=`fn ${de}(outputIndices: ${ae.type.indices}) -> u32 { + return ${Se.length>0?Se.join("+"):"0u"}; + }`,`${de}(${B})`},te=(B,ae)=>(()=>{if(m.storage===m.value)return`${t}[${B}]=${ae};`;if(m.storage==="vec2"&&m.value==="i32")return`${t}[${B}]=vec2(u32(${ae}), select(0u, 0xFFFFFFFFu, ${ae} < 0));`;if(m.storage==="vec2"&&m.value==="u32")return`${t}[${B}]=vec2(u32(${ae}), 0u);`;if(m.storage==="u32"&&m.value==="vec4")return`${t}[${B}]=dot(vec4(0x1, 0x100, 0x10000, 0x1000000), vec4(${ae}));`;throw new Error(`not supported combination of storage type ${m.storage} and value type ${m.value} yet`)})(),se=B=>(()=>{if(m.storage===m.value)return`${t}[${B}]`;if(m.storage==="vec2"&&m.value==="i32")return`i32(${t}[${B}].x)`;if(m.storage==="vec2"&&m.value==="u32")return`u32(${t}[${B}].x)`;if(m.storage==="u32"&&m.value==="vec4")return`vec4(bool(${t}[${B}] & 0xFFu), bool(${t}[${B}] & 0xFF00u), bool(${t}[${B}] & 0xFF0000u), bool(${t}[${B}] & 0xFF000000u))`;throw new Error(`not supported combination of storage type ${m.storage} and value type ${m.value} yet`)})(),D=i<2?"":` + fn get_${t}ByIndices(indices: ${m.indices}) -> ${c} { + return ${se(`i2o_${t}(indices)`)}; + }`,M=i<2?"":(()=>{let B=o.map(de=>`d${de}: u32`).join(", "),ae=o.map(de=>`d${de}`).join(", ");return` + fn get_${t}(${B}) -> ${c} { + return get_${t}ByIndices(${G(ae)}); + }`})(),V=(...B)=>{if(B.length!==i)throw new Error(`indices length must be ${i}`);let ae=B.map(_).join(",");return i===0?se("0u"):i===1?se(ae[0]):(p.get=!0,p.getByIndices=!0,p.indicesToOffset=!0,`get_${t}(${ae})`)},q=B=>i<2?se(B):(p.getByIndices=!0,p.indicesToOffset=!0,`get_${t}ByIndices(${B})`),ce=i<2?"":` + fn set_${t}ByIndices(indices: ${m.indices}, value: ${c}) { + ${te(`i2o_${t}(indices)`,"value")} + }`,ue=i<2?"":(()=>{let B=o.map(de=>`d${de}: u32`).join(", "),ae=o.map(de=>`d${de}`).join(", ");return` + fn set_${t}(${B}, value: ${c}) { + set_${t}ByIndices(${G(ae)}, value); + }`})();return{impl:()=>{let B=[],ae=!1;return p.offsetToIndices&&(B.push(C),ae=!0),p.indicesToOffset&&(B.push(R),ae=!0),p.broadcastedIndicesToOffset&&(Object.values(he).forEach(de=>B.push(de)),ae=!0),p.set&&(B.push(ue),ae=!0),p.setByIndices&&(B.push(ce),ae=!0),p.get&&(B.push(M),ae=!0),p.getByIndices&&(B.push(D),ae=!0),!s&&ae&&B.unshift(`const ${v} = ${m.indices}(${r.join(",")});`,`const ${S} = ${m.indices}(${X.computeStrides(r).join(",")});`),B.join(` +`)},type:m,offsetToIndices:T,indicesToOffset:P,broadcastedIndicesToOffset:ne,indices:G,indicesGet:j,indicesSet:K,set:(...B)=>{if(B.length!==i+1)throw new Error(`indices length must be ${i}`);let ae=B[i];if(typeof ae!="string")throw new Error("value must be string");let de=B.slice(0,i).map(_).join(",");return i===0?te("0u",ae):i===1?te(de[0],ae):(p.set=!0,p.setByIndices=!0,p.indicesToOffset=!0,`set_${t}(${de}, ${ae})`)},setByOffset:te,setByIndices:(B,ae)=>i<2?te(B,ae):(p.setByIndices=!0,p.indicesToOffset=!0,`set_${t}ByIndices(${B}, ${ae});`),get:V,getByOffset:se,getByIndices:q,usage:n,name:t,strides:S,shape:v,rank:i}},Q=(t,e,r,n=1)=>ui(t,e,r,"input",n),_e=(t,e,r,n=1)=>ui(t,e,r,"output",n),Gs=(t,e,r,n=1)=>ui(t,e,r,"internal",n),Cl=class{constructor(t,e){this.normalizedDispatchGroup=t,this.limits=e,this.internalVariables=[],this.variables=[],this.uniforms=[],this.variableIndex=0}guardAgainstOutOfBoundsWorkgroupSizes(t){return`if (global_idx >= ${typeof t=="number"?`${t}u`:t}) { return; }`}mainStart(t=gn){let e=typeof t=="number"?t:t[0],r=typeof t=="number"?1:t[1],n=typeof t=="number"?1:t[2];if(e>this.limits.maxComputeWorkgroupSizeX||r>this.limits.maxComputeWorkgroupSizeY||n>this.limits.maxComputeWorkgroupSizeZ)throw new Error(`workgroup size [${e}, ${r}, ${n}] exceeds the maximum workgroup size [${this.limits.maxComputeWorkgroupSizeX}, ${this.limits.maxComputeWorkgroupSizeY}, ${this.limits.maxComputeWorkgroupSizeZ}].`);if(e*r*n>this.limits.maxComputeInvocationsPerWorkgroup)throw new Error(`workgroup size [${e}, ${r}, ${n}] exceeds the maximum workgroup invocations ${this.limits.maxComputeInvocationsPerWorkgroup}.`);let a=this.normalizedDispatchGroup[1]===1&&this.normalizedDispatchGroup[2]===1,s=a?`@builtin(global_invocation_id) global_id : vec3, + @builtin(workgroup_id) workgroup_id : vec3, + @builtin(local_invocation_id) local_id : vec3`:`@builtin(global_invocation_id) global_id : vec3, + @builtin(local_invocation_id) local_id : vec3, + @builtin(local_invocation_index) local_idx : u32, + @builtin(workgroup_id) workgroup_id : vec3, + @builtin(num_workgroups) num_workgroups : vec3`,i=a?"let global_idx = global_id.x; let local_idx = local_id.x;":`let global_idx = (workgroup_id.z * num_workgroups[0] * num_workgroups[1] + + workgroup_id.y * num_workgroups[0] + workgroup_id.x) * ${e*r*n}u + local_idx;`;return`@compute @workgroup_size(${e}, ${r}, ${n}) + fn main(${s}) { + ${i} + `}appendVariableUniforms(t){t.rank!==0&&(t.shape.startsWith("uniforms.")&&this.uniforms.push({name:t.shape.replace("uniforms.",""),type:"u32",length:t.rank}),t.strides.startsWith("uniforms.")&&this.uniforms.push({name:t.strides.replace("uniforms.",""),type:"u32",length:t.rank}))}declareVariable(t,e){if(t.usage==="internal")throw new Error("cannot use internal variable with declareVariable(). use registerInternalVariables() instead.");this.variables.push(t),this.appendVariableUniforms(t);let r=t.usage==="input"?"read":"read_write",n=t.type.storage;return`@group(0) @binding(${e}) var ${t.name}: array<${n}>;`}declareVariables(...t){return t.map(e=>this.declareVariable(e,this.variableIndex++)).join(` +`)}registerInternalVariable(t){if(t.usage!=="internal")throw new Error("cannot use input or output variable with registerInternalVariable(). use declareVariables() instead.");this.internalVariables.push(t),this.appendVariableUniforms(t)}registerInternalVariables(...t){return t.forEach(e=>this.registerInternalVariable(e)),this}registerUniform(t,e,r=1){return this.uniforms.push({name:t,type:e,length:r}),this}registerUniforms(t){return this.uniforms=this.uniforms.concat(t),this}uniformDeclaration(){if(this.uniforms.length===0)return"";let t=[];for(let{name:e,type:r,length:n}of this.uniforms)if(n&&n>4)r==="f16"?t.push(`@align(16) ${e}:array, ${Math.ceil(n/8)}>`):t.push(`${e}:array, ${Math.ceil(n/4)}>`);else{let a=n==null||n===1?r:`vec${n}<${r}>`;t.push(`${e}:${a}`)}return` + struct Uniforms { ${t.join(", ")} }; + @group(0) @binding(${this.variableIndex}) var uniforms: Uniforms;`}get additionalImplementations(){return this.uniformDeclaration()+this.variables.map(t=>t.impl()).join(` +`)+this.internalVariables.map(t=>t.impl()).join(` +`)}get variablesInfo(){if(this.uniforms.length===0)return;let t=e=>[12,10,1,6][["u32","f16","f32","i32"].indexOf(e)];return this.uniforms.map(e=>[t(e.type),e.length??1])}},Tl=(t,e)=>new Cl(t,e),Xn=(t,e)=>{let r=t.length,n=[];for(let a=0;a1&&i===1&&n.unshift(s)}return n}}),Il,Hs,Al,Ml,br,Ol,zl,Qn=ee(()=>{xe(),Oe(),dt(),Ae(),Il=t=>{if(!t||t.length!==1)throw new Error("Transpose requires 1 input.")},Hs=(t,e)=>e&&e.length!==t?[...new Array(t).keys()].reverse():e,Al=(t,e)=>X.sortBasedOnPerm(t,Hs(t.length,e)),Ml=(t,e,r,n)=>{let a=[];a.push(`fn perm(i: ${n.type.indices}) -> ${r.type.indices} { + var a: ${r.type.indices};`);for(let s=0;s{let r=t.dataType,n=t.dims.length,a=Hs(n,e),s=Al(t.dims,a),i=_e("output",r,s.length),o=Q("a",r,n),u=l=>` + ${l.registerUniform("output_size","u32").declareVariables(o,i)} + + ${Ml(a,n,o,i)} + + ${l.mainStart()} + ${l.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + + let indices = ${i.offsetToIndices("global_idx")}; + let aIndices = perm(indices); + + ${i.setByOffset("global_idx",o.getByIndices("aIndices"))} + }`;return{name:"Transpose",shaderCache:{hint:`${e}`,inputDependencies:["rank"]},getRunData:l=>{let c=X.size(s);return{outputs:[{dims:s,dataType:l[0].dataType}],dispatchGroup:{x:Math.ceil(c/64)},programUniforms:[{type:12,data:c},...ye(l[0].dims,s)]}},getShaderSource:u}},Ol=(t,e)=>{Il(t.inputs),t.compute(br(t.inputs[0],e.perm))},zl=t=>Ke({perm:t.perm})}),Rl,Pl,Bl,Dl,Nl,Fl,Ll,Ul,Wl,Vl,Xt,Gl,Hl,jl,ql,Kl,Yl,Xl,Ql,Jl,Zl,q0=ee(()=>{xe(),Oe(),Ae(),qs(),Qn(),Rl={max:"select(bestValue, candidate, candidate > bestValue)",min:"select(bestValue, candidate, candidate < bestValue)",mean:"bestValue + candidate",sum:"bestValue + candidate",prod:"bestValue * candidate",sumSquare:"bestValue + candidate * candidate",logSumExp:"bestValue + exp(candidate)",l1:"bestValue + abs(candidate)",l2:"bestValue + candidate * candidate",logSum:"bestValue + candidate"},Pl={max:"select(bestValue, candidate, candidate > bestValue)",min:"select(bestValue, candidate, candidate < bestValue)",mean:"bestValue + candidate",sum:"bestValue + candidate",prod:"bestValue * candidate",sumSquare:"bestValue + candidate",logSumExp:"bestValue + candidate",l1:"bestValue + candidate",l2:"bestValue + candidate",logSum:"bestValue + candidate"},Bl={max:"_A[offset]",min:"_A[offset]",mean:"0",sum:"0",prod:"1",sumSquare:"0",logSumExp:"0",l1:"0",l2:"0",logSum:"0"},Dl={max:"bestValue",min:"bestValue",sum:"bestValue",prod:"bestValue",sumSquare:"bestValue",logSumExp:"log(bestValue)",l1:"bestValue",l2:"sqrt(bestValue)",logSum:"log(bestValue)"},Nl=(t,e)=>{let r=[];for(let n=e-t;n{let r=[],n=t.length;for(let s=0;st[s]);return[r,a]},Ll=(t,e)=>{let r=t.length+e.length,n=[],a=0;for(let s=0;s{for(let r=0;r{let r=[];if(!Ul(t,e)){for(let n=0;nr.push(n))}return r},Vl=(t,e,r,n,a,s,i)=>{let o=r[0].dims,u=X.size(s),l=X.size(i),c=Q("_A",r[0].dataType,o),h=_e("output",a,s),m=32,_=` + var aBestValues : array; + `;return{name:t,shaderCache:e,getShaderSource:p=>` + ${p.registerUniform("reduceSize","u32").declareVariables(c,h)} + ${_} + fn DIV_CEIL(a : u32, b : u32) -> u32 { + return ((a - 1u) / b + 1u); + } + ${p.mainStart(m)} + + let outputIndex = global_idx / ${m}; + let offset = outputIndex * uniforms.reduceSize; + + var bestValue = f32(${Bl[n]}); + let Length = uniforms.reduceSize; + for (var k = local_idx; k < Length; k = k + ${m}) { + let candidate = f32(${c.getByOffset("offset + k")}); + bestValue = ${Rl[n]}; + } + aBestValues[local_idx] = bestValue; + workgroupBarrier(); + + var reduceSize = min(Length, ${m}u); + for (var currentSize = reduceSize / 2u; reduceSize > 1u; + currentSize = reduceSize / 2u) { + let interval = DIV_CEIL(reduceSize, 2u); + if (local_idx < currentSize) { + let candidate = aBestValues[local_idx + interval]; + bestValue = ${Pl[n]}; + aBestValues[local_idx] = bestValue; + } + reduceSize = interval; + workgroupBarrier(); + } + + if (local_idx == 0u) { + ${h.setByOffset("outputIndex",`${n==="mean"?`${h.type.storage}(bestValue / f32(uniforms.reduceSize))`:`${h.type.storage}(${Dl[n]})`}`)}; + } + }`,getRunData:()=>({outputs:[{dims:s,dataType:a}],dispatchGroup:{x:u},programUniforms:[{type:12,data:l}]})}},Xt=(t,e,r,n)=>{let a=t.inputs.length===1?r:js(t.inputs,r),s=a.axes;s.length===0&&!a.noopWithEmptyAxes&&(s=t.inputs[0].dims.map((_,p)=>p));let i=X.normalizeAxes(s,t.inputs[0].dims.length),o=i,u=t.inputs[0],l=Wl(o,t.inputs[0].dims.length);l.length>0&&(u=t.compute(br(t.inputs[0],l),{inputs:[0],outputs:[-1]})[0],o=Nl(o.length,u.dims.length));let[c,h]=Fl(u.dims,o),m=c;a.keepDims&&(m=Ll(c,i)),t.compute(Vl(e,{hint:a.cacheKey,inputDependencies:["type"]},[u],n,t.inputs[0].dataType,m,h),{inputs:[u]})},Gl=(t,e)=>{Xt(t,"ReduceMeanShared",e,"mean")},Hl=(t,e)=>{Xt(t,"ReduceL1Shared",e,"l1")},jl=(t,e)=>{Xt(t,"ReduceL2Shared",e,"l2")},ql=(t,e)=>{Xt(t,"ReduceLogSumExpShared",e,"logSumExp")},Kl=(t,e)=>{Xt(t,"ReduceMaxShared",e,"max")},Yl=(t,e)=>{Xt(t,"ReduceMinShared",e,"min")},Xl=(t,e)=>{Xt(t,"ReduceProdShared",e,"prod")},Ql=(t,e)=>{Xt(t,"ReduceSumShared",e,"sum")},Jl=(t,e)=>{Xt(t,"ReduceSumSquareShared",e,"sumSquare")},Zl=(t,e)=>{Xt(t,"ReduceLogSumShared",e,"logSum")}}),Qt,ed,li,js,Jt,td,rd,nd,ad,id,sd,od,ud,ld,dd,Zt,cd,pd,hd,fd,md,gd,_d,wd,yd,bd,qs=ee(()=>{xe(),Oe(),dt(),Ae(),q0(),Qt=t=>{if(!t||t.length===0||t.length>2)throw new Error("Reduce op requires 1 or 2 inputs.");if(t.length===2&&t[1].dims.length!==1)throw new Error("Invalid axes input dims.")},ed=t=>["","",`var value = ${t.getByIndices("input_indices")};`,""],li=(t,e,r,n,a,s,i=!1,o=!1)=>{let u=[],l=r[0].dims,c=l.length,h=X.normalizeAxes(a,c),m=!o&&h.length===0;l.forEach((y,v)=>{m||h.indexOf(v)>=0?i&&u.push(1):u.push(y)});let _=u.length,p=X.size(u);return{name:t,shaderCache:e,getShaderSource:y=>{let v=[],S=Q("_A",r[0].dataType,c),x=_e("output",s,_),C=n(S,x,h),T=C[2];for(let I=0,R=0;I=0?(i&&R++,T=`for(var j${I}: u32 = 0; j${I} < ${l[I]}; j${I}++) { + ${C[2].includes("last_index")?`let last_index = j${I};`:""} + ${S.indicesSet("input_indices",I,`j${I}`)} + ${T} + }`):(v.push(`${S.indicesSet("input_indices",I,x.indicesGet("output_indices",R))};`),R++);return` + + ${y.registerUniform("output_size","u32").declareVariables(S,x)} + + ${y.mainStart()} + ${y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + var input_indices: ${S.type.indices}; + let output_indices = ${x.offsetToIndices("global_idx")}; + + ${v.join(` +`)} + ${C[0]} // init ops for reduce max/min + ${C[1]} + ${T} + ${C[3]} + ${C.length===4?x.setByOffset("global_idx","value"):C.slice(4).join(` +`)} + }`},getRunData:()=>({outputs:[{dims:u,dataType:s}],dispatchGroup:{x:Math.ceil(p/64)},programUniforms:[{type:12,data:p},...ye(l,u)]})}},js=(t,e)=>{let r=[];return t[1].dims[0]>0&&t[1].getBigInt64Array().forEach(n=>r.push(Number(n))),Ke({axes:r,keepDims:e.keepDims,noopWithEmptyAxes:e.noopWithEmptyAxes})},Jt=(t,e,r,n)=>{let a=t.inputs,s=a.length===1?r:js(a,r);t.compute(li(e,{hint:s.cacheKey,inputDependencies:["rank"]},[a[0]],s.noopWithEmptyAxes&&s.axes.length===0?ed:n,s.axes,a[0].dataType,s.keepDims,s.noopWithEmptyAxes),{inputs:[0]})},td=(t,e)=>{Qt(t.inputs),Jt(t,"ReduceLogSum",e,(r,n)=>[`var value = ${n.type.storage}(0);`,"",`value += ${r.getByIndices("input_indices")};`,"value = log(value);"])},rd=(t,e)=>{Qt(t.inputs),Jt(t,"ReduceL1",e,(r,n)=>[`var value = ${n.type.storage}(0);`,"",`value += abs(${r.getByIndices("input_indices")});`,""])},nd=(t,e)=>{Qt(t.inputs),Jt(t,"ReduceL2",e,(r,n)=>[`var t = ${n.type.value}(0); var value = ${n.type.value}(0);`,"",`t = ${r.getByIndices("input_indices")}; value += (t * t);`,"value = sqrt(value);"])},ad=(t,e)=>{Qt(t.inputs),Jt(t,"ReduceLogSumExp",e,(r,n)=>[`var value = ${n.type.storage}(0);`,"",`value += exp(${r.getByIndices("input_indices")});`,"value = log(value);"])},id=(t,e)=>{Qt(t.inputs),Jt(t,"ReduceMax",e,(r,n,a)=>{let s=[];for(let i=0;i=0||a.length===0)&&s.push(r.indicesSet("input_indices",i,0));return[`${s.join(` +`)}`,`var value = ${r.getByIndices("input_indices")};`,`value = max(value, ${r.getByIndices("input_indices")});`,""]})},sd=(t,e)=>{Qt(t.inputs),Jt(t,"ReduceMean",e,(r,n,a)=>{let s=1;for(let i=0;i=0||a.length===0)&&(s*=t.inputs[0].dims[i]);return["var sum = f32(0);","",`sum += f32(${r.getByIndices("input_indices")});`,`let value = ${n.type.value}(sum / ${s});`]})},od=(t,e)=>{Qt(t.inputs),Jt(t,"ReduceMin",e,(r,n,a)=>{let s=[];for(let i=0;i=0||a.length===0)&&s.push(`input_indices[${i}] = 0;`);return[`${s.join(` +`)}`,`var value = ${r.getByIndices("input_indices")};`,`value = min(value, ${r.getByIndices("input_indices")});`,""]})},ud=(t,e)=>{Qt(t.inputs),Jt(t,"ReduceProd",e,(r,n)=>[`var value = ${n.type.storage}(1);`,"",`value *= ${r.getByIndices("input_indices")};`,""])},ld=(t,e)=>{Qt(t.inputs),Jt(t,"ReduceSum",e,(r,n)=>[`var value = ${n.type.storage}(0);`,"",`value += ${r.getByIndices("input_indices")};`,""])},dd=(t,e)=>{Qt(t.inputs),Jt(t,"ReduceSumSquare",e,(r,n)=>[`var t = ${n.type.value}(0); var value = ${n.type.value}(0);`,"",`t = ${r.getByIndices("input_indices")}; value += t * t;`,""])},Zt=(t,e,r)=>{if(e.length===0)return r;let n=1,a=1;for(let s=0;s1024},cd=(t,e)=>{Zt(t.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?sd(t,e):Gl(t,e)},pd=(t,e)=>{Zt(t.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?rd(t,e):Hl(t,e)},hd=(t,e)=>{Zt(t.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?nd(t,e):jl(t,e)},fd=(t,e)=>{Zt(t.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?ad(t,e):ql(t,e)},md=(t,e)=>{Zt(t.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?id(t,e):Kl(t,e)},gd=(t,e)=>{Zt(t.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?od(t,e):Yl(t,e)},_d=(t,e)=>{Zt(t.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?ud(t,e):Xl(t,e)},wd=(t,e)=>{Zt(t.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?ld(t,e):Ql(t,e)},yd=(t,e)=>{Zt(t.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?dd(t,e):Jl(t,e)},bd=(t,e)=>{Zt(t.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?td(t,e):Zl(t,e)}}),Ks,vd,$d,Ys,K0=ee(()=>{xe(),dt(),qs(),Ks=t=>{if(!t||t.length===0||t.length>2)throw new Error("ArgMinMaxOp op requires 1 or 2 inputs.");if(t[0].dataType!==1)throw new Error("Invalid input type.")},vd=(t,e)=>{Ks(t.inputs);let r=(n,a,s)=>{let i=[];for(let o=0;o=0||s.length===0)&&i.push(`input_indices[${o}] = 0;`);return[`${i.join(` +`)}`,`var value = ${n.getByIndices("input_indices")}; +var best_index : i32 = 0;`,`if (${n.getByIndices("input_indices")} ${e.selectLastIndex>0?"<=":"<"} value) { + value = ${n.getByIndices("input_indices")}; + best_index = i32(last_index); + }`,"",a.setByOffset("global_idx","best_index")]};t.compute(li("ArgMin",{hint:e.cacheKey,inputDependencies:["rank"]},[t.inputs[0]],r,[e.axis],7,e.keepDims),{inputs:[0]})},$d=(t,e)=>{Ks(t.inputs);let r=(n,a,s)=>{let i=[];for(let o=0;o=0||s.length===0)&&i.push(`input_indices[${o}] = 0;`);return[`${i.join(` +`)}`,`var value = ${n.getByIndices("input_indices")}; +var best_index : i32 = 0;`,`if (${n.getByIndices("input_indices")} ${e.selectLastIndex>0?">=":">"} value) { + value = ${n.getByIndices("input_indices")}; + best_index = i32(last_index); + }`,"",a.setByOffset("global_idx","best_index")]};t.compute(li("argMax",{hint:e.cacheKey,inputDependencies:["rank"]},[t.inputs[0]],r,[e.axis],7,e.keepDims),{inputs:[0]})},Ys=t=>Ke(t)}),xd,Sd,kd,di,Ed,Cd,Td=ee(()=>{xe(),Oe(),dt(),Ae(),xd=(t,e)=>{if(!t||t.length<1)throw new Error("too few inputs");let r=0,n=t[r],a=n.dataType,s=n.dims.length;t.forEach((i,o)=>{if(o!==r){if(i.dataType!==a)throw new Error("input tensors should be one type");if(i.dims.length!==s)throw new Error("input tensors should have the same shape");i.dims.forEach((u,l)=>{if(l!==e&&u!==n.dims[l])throw new Error("non concat dimensions must match")})}})},Sd=(t,e)=>` + fn calculateInputIndex(index: u32) -> u32 { + let sizeInConcatAxis = array(${e}); + for (var i: u32 = 0u; i < ${t}; i += 1u ) { + if (index < sizeInConcatAxis[i]) { + return i; + } + } + return ${t}u; + }`,kd=(t,e)=>{let r=t.length,n=[];for(let a=0;a{let a=X.size(r),s=new Array(t.length),i=new Array(t.length),o=0,u=[],l=[],c=[{type:12,data:a}];for(let y=0;y`uniforms.sizeInConcatAxis${y}`).join(","),p=y=>` + + ${(()=>{y.registerUniform("outputSize","u32");for(let v=0;v(${_}); + ${m} -= sizeInConcatAxis[inputIndex - 1u]; + } + + ${kd(i,h)} + }`;return{name:"Concat",shaderCache:{hint:`${e}`,inputDependencies:u},getRunData:()=>({outputs:[{dims:r,dataType:n}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:c}),getShaderSource:p}},Ed=(t,e)=>{let r=t.inputs,n=r[0].dims,a=X.normalizeAxis(e.axis,n.length);xd(r,a);let s=n.slice();s[a]=r.reduce((o,u)=>o+(u.dims.length>a?u.dims[a]:0),0);let i=r.filter(o=>X.size(o.dims)>0);t.compute(di(i,a,s,r[0].dataType),{inputs:i})},Cd=t=>Ke({axis:t.axis})}),Id,Ad,Md,Od,ci,zd,Rd,Pd=ee(()=>{xe(),Ns(),Ae(),Td(),Id=(t,e)=>{let r=t[0],n=t[1],a=t[2],s=t[3],i=t[4],o=t[5];if(i&&o)throw new Error("Attention cannot have both past and relative_position_bias");if(r.dims.length!==3)throw new Error('Input "input" must have 3 dimensions');let u=r.dims[0],l=r.dims[1],c=r.dims[2];if(a.dims.length!==1)throw new Error('Input "bias" is expected to have 1 dimensions');if(n.dims.length!==2)throw new Error('Input "weights" is expected to have 2 dimensions');if(n.dims[0]!==c)throw new Error("Input 1 dimension 0 should have same length as dimension 2 of input 0");if(a.dims[0]!==n.dims[1])throw new Error('Input "bias" dimension 0 should have same length as dimension 1 of input "weights"');let h=a.dims[0]/3,m=h,_=m;if(e.qkvHiddenSizes.length>0){if(e.qkvHiddenSizes.length!==3)throw new Error("qkv_hidden_sizes attribute should have 3 elements");for(let C of e.qkvHiddenSizes)if(C%e.numHeads!==0)throw new Error("qkv_hidden_sizes should be divisible by num_heads");h=e.qkvHiddenSizes[0],m=e.qkvHiddenSizes[1],_=e.qkvHiddenSizes[2]}let p=l;if(h!==m)throw new Error("qkv_hidden_sizes first element should be same as the second");if(a.dims[0]!==h+m+_)throw new Error('Input "bias" dimension 0 should have same length as sum of Q/K/V hidden sizes');let y=0;if(i){if(m!==_)throw new Error('Input "past" expect k_hidden_size == v_hidden_size');if(i.dims.length!==5)throw new Error('Input "past" must have 5 dimensions');if(i.dims[0]!==2)throw new Error('Input "past" first dimension must be 2');if(i.dims[1]!==u)throw new Error('Input "past" second dimension must be batch_size');if(i.dims[2]!==e.numHeads)throw new Error('Input "past" third dimension must be num_heads');if(i.dims[4]!==m/e.numHeads)throw new Error('Input "past" fifth dimension must be k_hidden_size / num_heads');e.pastPresentShareBuffer||(y=i.dims[3])}let v=p+y,S=-1,x=0;if(s)throw new Error("Mask not supported");if(i)throw new Error("past is not supported");return{batchSize:u,sequenceLength:l,pastSequenceLength:y,kvSequenceLength:p,totalSequenceLength:v,maxSequenceLength:S,inputHiddenSize:c,hiddenSize:h,vHiddenSize:_,headSize:Math.floor(h/e.numHeads),vHeadSize:Math.floor(_/e.numHeads),numHeads:e.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:e.maskFilterValue,maskType:x,scale:e.scale,broadcastResPosBias:!1,passPastInKv:!1,qkvFormat:1}},Ad=(t,e,r,n)=>{let a=at(n),s=64,i=n/a;i{let _=_e("x",e.dataType,e.dims,a),p=[{name:"d_inv",type:Et(e.dataType)},{name:"d_comp",type:"u32"},{name:"elements_per_thread",type:"u32"}];return` + var thread_max: array; + var thread_sum: array; + ${m.registerUniforms(p).declareVariables(_)} + ${m.mainStart([s,1,1])} + let local_offset = local_idx * uniforms.elements_per_thread; + let offset = workgroup_id.x * uniforms.d_comp + local_offset; + + var thread_max_vector = ${c}(-3.402823e+38f); + for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < uniforms.d_comp; i++) { + thread_max_vector = max(${c}(x[offset + i]), thread_max_vector); + } + thread_max[local_idx] = ${(()=>{switch(a){case 1:return"thread_max_vector";case 2:return"max(thread_max_vector.x, thread_max_vector.y)";case 4:return"max(max(thread_max_vector.x, thread_max_vector.y), max(thread_max_vector.z, thread_max_vector.w))";default:throw new Error(`Unsupported components: ${a}`)}})()}; + workgroupBarrier(); + + var max_value = f32(-3.402823e+38f); + for (var i = 0u; i < ${s}; i++) { + max_value = max(thread_max[i], max_value); + } + + var sum_vector = ${c}(0); + for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < uniforms.d_comp; i++) { + sum_vector += exp(${c}(x[offset + i]) - max_value); + } + thread_sum[local_idx] = ${(()=>{switch(a){case 1:return"sum_vector";case 2:return"sum_vector.x + sum_vector.y";case 4:return"sum_vector.x + sum_vector.y + sum_vector.z + sum_vector.w";default:throw new Error(`Unsupported components: ${a}`)}})()}; + workgroupBarrier(); + + var sum: f32 = 0; + for (var i = 0u; i < ${s}; i++) { + sum += thread_sum[i]; + } + + if (sum == 0) { + for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < uniforms.d_comp; i++) { + x[offset + i] = ${_.type.value}(uniforms.d_inv); + } + } else { + for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < uniforms.d_comp; i++) { + var f32input = ${c}(x[offset + i]); + x[offset + i] = ${_.type.value}(exp(f32input - max_value) / sum); + } + } + }`};return{name:"AttentionProbsSoftmax",shaderCache:{hint:`${s};${l};${a}`},getShaderSource:h,getRunData:()=>({outputs:[],dispatchGroup:{x:r},programUniforms:u})}},Md=(t,e,r,n,a,s,i)=>{let o=i+a.kvSequenceLength,u=[a.batchSize,a.numHeads,a.sequenceLength,o],l=s.scale===0?1/Math.sqrt(a.headSize):s.scale,c=at(a.headSize),h=a.headSize/c,m=12,_={x:Math.ceil(o/m),y:Math.ceil(a.sequenceLength/m),z:a.batchSize*a.numHeads},p=[{type:12,data:a.sequenceLength},{type:12,data:h},{type:12,data:o},{type:12,data:a.numHeads},{type:1,data:l}],y=n?["type","type","type"]:["type","type"],v=S=>{let x=Q("q",e.dataType,e.dims,c),C=Q("key",r.dataType,r.dims,c),T=[x,C];n&&T.push(Q("relative_position_bias",n.dataType,n.dims));let I=_e("output",e.dataType,u),R=Et(1,c),P=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"alpha",type:"f32"}];return` + const TILE_SIZE = ${m}u; + + var tileQ: array<${x.type.storage}, ${m*m}>; + var tileK: array<${x.type.storage}, ${m*m}>; + ${S.registerUniforms(P).declareVariables(...T,I)} + ${S.mainStart([m,m,1])} + // x holds the N and y holds the M + let headIdx = workgroup_id.z; + let m = workgroup_id.y * TILE_SIZE; + let n = workgroup_id.x * TILE_SIZE; + let qOffset = uniforms.M * uniforms.K * headIdx + m * uniforms.K; + let kOffset = uniforms.N * uniforms.K * headIdx + n * uniforms.K; + + var value = ${R}(0); + for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) { + if (global_id.y < uniforms.M && w + local_id.x < uniforms.K) { + tileQ[TILE_SIZE * local_id.y + local_id.x] = q[qOffset + local_id.y * uniforms.K + w + local_id.x]; + } + if (n + local_id.y < uniforms.N && w + local_id.x < uniforms.K) { + tileK[TILE_SIZE * local_id.y + local_id.x] = key[kOffset + local_id.y * uniforms.K + w + local_id.x]; + } + workgroupBarrier(); + + for (var k: u32 = 0u; k < TILE_SIZE && w+k < uniforms.K; k++) { + value += ${R}(tileQ[TILE_SIZE * local_id.y + k] * tileK[TILE_SIZE * local_id.x + k]); + } + + workgroupBarrier(); + } + + let headOffset = headIdx * uniforms.M * uniforms.N; + if (global_id.y < uniforms.M && global_id.x < uniforms.N) { + let outputIdx = headOffset + global_id.y * uniforms.N + global_id.x; + var sum: f32 = ${(()=>{switch(c){case 1:return"value";case 2:return"value.x + value.y";case 4:return"value.x + value.y + value.z + value.w";default:throw new Error(`Unsupported components: ${c}`)}})()}; + output[outputIdx] = ${I.type.value} (sum * uniforms.alpha) + ${n?"relative_position_bias[outputIdx]":"0.0"}; + } + }`};return{name:"AttentionProbs",shaderCache:{hint:`${c}`,inputDependencies:y},getRunData:()=>({outputs:[{dims:u,dataType:e.dataType,gpuDataType:0}],dispatchGroup:_,programUniforms:p}),getShaderSource:v}},Od=(t,e,r,n,a)=>{let s=a+n.kvSequenceLength,i=[n.batchSize,n.sequenceLength,n.vHiddenSize],o=12,u={x:Math.ceil(n.vHeadSize/o),y:Math.ceil(n.sequenceLength/o),z:n.batchSize*n.numHeads},l=[{type:12,data:n.sequenceLength},{type:12,data:s},{type:12,data:n.vHeadSize},{type:12,data:n.numHeads},{type:12,data:n.vHiddenSize}];return{name:"AttentionScore",shaderCache:{inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:i,dataType:e.dataType,gpuDataType:0}],dispatchGroup:u,programUniforms:l}),getShaderSource:c=>{let h=Q("probs",e.dataType,e.dims),m=Q("v",r.dataType,r.dims),_=_e("output",e.dataType,i),p=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"v_hidden_size",type:"u32"}];return` + const TILE_SIZE = ${o}u; + var tileQ: array<${h.type.value}, ${o*o}>; + var tileK: array<${h.type.value}, ${o*o}>; + ${c.registerUniforms(p).declareVariables(h,m,_)} + ${c.mainStart([o,o,1])} + let headIdx = workgroup_id.z; + let m = global_id.y; + let n = global_id.x; + + let offsetA = headIdx * (uniforms.M * uniforms.K) + m * uniforms.K; + let offsetB = headIdx * (uniforms.N * uniforms.K) + n; + + var value = ${h.type.storage}(0); + for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) { + if (m < uniforms.M && w + local_id.x < uniforms.K) { + tileQ[TILE_SIZE * local_id.y + local_id.x] = probs[offsetA + w + local_id.x]; + } + if (n < uniforms.N && w + local_id.y < uniforms.K) { + tileK[TILE_SIZE * local_id.y + local_id.x] = v[offsetB + (w + local_id.y) * uniforms.N]; + } + workgroupBarrier(); + for (var k: u32 = 0u; k < TILE_SIZE && w+k < uniforms.K; k++) { + value += tileQ[TILE_SIZE * local_id.y + k] * tileK[TILE_SIZE * k + local_id.x]; + } + workgroupBarrier(); + } + + // we need to transpose output from BNSH_v to BSND_v + let batchIdx = workgroup_id.z / uniforms.num_heads; + let currentBatchHeadNumber = workgroup_id.z % uniforms.num_heads; + if (m < uniforms.M && n < uniforms.N) { + let outputIdx = batchIdx * uniforms.M * uniforms.v_hidden_size + m * uniforms.v_hidden_size + + currentBatchHeadNumber * uniforms.N + n; + output[outputIdx] = value; + } + }`}}},ci=(t,e,r,n,a,s,i,o,u,l,c)=>{let h=t.outputCount>1,m=t.outputCount>2,_=h&&m?l.pastSequenceLength:0,p=_+l.kvSequenceLength,y=[l.batchSize,l.numHeads,p,l.headSize],v=i?[i,r]:[r],S=h?t.compute(di(v,2,y,r.dataType),{inputs:v,outputs:[1]})[0]:r,x=[l.batchSize,l.numHeads,p,l.headSize],C=o?[o,n]:[n],T=m?t.compute(di(C,2,x,n.dataType),{inputs:C,outputs:[2]})[0]:n,I=[e,S];u&&I.push(u);let R=t.compute(Md(t,e,S,u,l,c,_),{inputs:I,outputs:[-1]})[0];t.compute(Ad(t,R,l.batchSize*l.numHeads*l.sequenceLength,p),{inputs:[R],outputs:[]});let P=[R,T];t.compute(Od(t,R,T,l,_),{inputs:P,outputs:[0]})},zd=(t,e)=>{let r=[e.batchSize,e.numHeads,e.sequenceLength,e.headSize],n=e.sequenceLength,a=e.inputHiddenSize,s=e.headSize,i=12,o={x:Math.ceil(e.headSize/i),y:Math.ceil(e.sequenceLength/i),z:e.batchSize*e.numHeads},u=[t.inputs[0],t.inputs[1],t.inputs[2]],l=[{type:12,data:n},{type:12,data:a},{type:12,data:s},{type:12,data:e.numHeads},{type:12,data:e.headSize},{type:12,data:e.hiddenSize},{type:12,data:e.hiddenSize+e.hiddenSize+e.vHiddenSize}],c=h=>{let m=_e("output_q",u[0].dataType,r),_=_e("output_k",u[0].dataType,r),p=_e("output_v",u[0].dataType,r),y=Q("input",u[0].dataType,u[0].dims),v=Q("weight",u[1].dataType,u[1].dims),S=Q("bias",u[2].dataType,u[2].dims),x=y.type.storage,C=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"hidden_size",type:"u32"},{name:"ldb",type:"u32"}];return` + const TILE_SIZE = ${i}u; + var tileInput: array<${x}, ${i*i}>; + var tileWeightQ: array<${x}, ${i*i}>; + var tileWeightK: array<${x}, ${i*i}>; + var tileWeightV: array<${x}, ${i*i}>; + ${h.registerUniforms(C).declareVariables(y,v,S,m,_,p)} + ${h.mainStart([i,i,1])} + let batchIndex = workgroup_id.z / uniforms.num_heads; + let headNumber = workgroup_id.z % uniforms.num_heads; + let m = global_id.y; + let n = global_id.x; + + let inputOffset = batchIndex * (uniforms.M * uniforms.K) + m * uniforms.K; + let biasOffsetQ = headNumber * uniforms.head_size; + let biasOffsetK = uniforms.hidden_size + biasOffsetQ; + let biasOffsetV = uniforms.hidden_size + biasOffsetK; + + var valueQ = ${x}(0); + var valueK = ${x}(0); + var valueV = ${x}(0); + for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) { + if (m < uniforms.M && w + local_id.x < uniforms.K) { + tileInput[TILE_SIZE * local_id.y + local_id.x] = input[inputOffset + w + local_id.x]; + } + if (n < uniforms.N && w + local_id.y < uniforms.K) { + let offset = n + (w + local_id.y) * uniforms.ldb; + tileWeightQ[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetQ + offset]; + tileWeightK[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetK + offset]; + tileWeightV[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetV + offset]; + } + workgroupBarrier(); + for (var k: u32 = 0u; k({outputs:[{dims:r,dataType:t.inputs[0].dataType,gpuDataType:0},{dims:r,dataType:t.inputs[0].dataType,gpuDataType:0},{dims:r,dataType:t.inputs[0].dataType,gpuDataType:0}],dispatchGroup:o,programUniforms:l}),getShaderSource:c},{inputs:u,outputs:[-1,-1,-1]})},Rd=(t,e)=>{let r=Id(t.inputs,e),[n,a,s]=zd(t,r);return ci(t,n,a,s,t.inputs[4],void 0,void 0,void 0,t.inputs[5],r,e)}}),Bd,Dd,Nd,Fd,Y0=ee(()=>{Yt(),xe(),Oe(),dt(),Ae(),Bd=(t,e)=>{if(!t||t.length!==5)throw new Error("BatchNormalization requires 5 inputs");let r=(n,a,s)=>{let i=a.length;if(i!==n.length)throw new Error(`${s}: num dimensions != ${i}`);a.forEach((o,u)=>{if(o!==n[u])throw new Error(`${s}: dim[${u}] do not match`)})};if(t[0].dims.length>1){let n=e.format==="NHWC"?e.spatial?t[0].dims.slice(-1):t[0].dims.slice(-1).concat(t[0].dims.slice(1,t[0].dims.length-1)):t[0].dims.slice(1,e.spatial?2:void 0);r(t[1].dims,n,"Invalid input scale"),r(t[2].dims,n,"Invalid input B"),r(t[3].dims,n,"Invalid input mean"),r(t[4].dims,n,"Invalid input var")}else r(t[1].dims,[1],"Invalid input scale"),r(t[2].dims,[1],"Invalid input B"),r(t[3].dims,[1],"Invalid input mean"),r(t[4].dims,[1],"Invalid input var")},Dd=(t,e)=>{let{epsilon:r,spatial:n,format:a}=e,s=t[0].dims,i=n?at(s[s.length-1]):1,o=a==="NHWC"&&s.length>1?i:1,u=X.size(s)/i,l=n,c=l?s.length:s,h=Q("x",t[0].dataType,t[0].dims,i),m=Q("scale",t[1].dataType,t[1].dims,o),_=Q("bias",t[2].dataType,t[2].dims,o),p=Q("inputMean",t[3].dataType,t[3].dims,o),y=Q("inputVar",t[4].dataType,t[4].dims,o),v=_e("y",t[0].dataType,c,i),S=()=>{let C="";if(n)C=`let cOffset = ${s.length===1?"0u":a==="NHWC"?`outputIndices[${s.length-1}] / ${i}`:"outputIndices[1]"};`;else if(a==="NCHW")C=` + ${v.indicesSet("outputIndices","0","0")} + let cOffset = ${v.indicesToOffset("outputIndices")};`;else{C=`var cIndices = ${m.type.indices}(0); + cIndices[0] = outputIndices[${s.length-1}];`;for(let T=1;T` + const epsilon = ${r}; + ${C.registerUniform("outputSize","u32").declareVariables(h,m,_,p,y,v)} + ${C.mainStart()} + ${C.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + var outputIndices = ${v.offsetToIndices(`global_idx * ${i}`)}; + ${S()} + let scale = ${m.getByOffset("cOffset")}; + let bias = ${_.getByOffset("cOffset")}; + let inputMean = ${p.getByOffset("cOffset")}; + let inputVar = ${y.getByOffset("cOffset")}; + let x = ${h.getByOffset("global_idx")}; + let value = (x - inputMean) * inverseSqrt(inputVar + epsilon) * scale + bias; + ${v.setByOffset("global_idx","value")} + }`;return{name:"BatchNormalization",shaderCache:{hint:`${e.epsilon}_${e.format}_${n}_${i}`,inputDependencies:l?["rank","type","type","type","type"]:void 0},getShaderSource:x,getRunData:()=>({outputs:[{dims:t[0].dims,dataType:t[0].dataType}],dispatchGroup:{x:Math.ceil(u/64)},programUniforms:l?[{type:12,data:u},...ye(s)]:[{type:12,data:u}]})}},Nd=t=>Ke(t),Fd=(t,e)=>{let{inputs:r,outputCount:n}=t,a=Nd({...e,outputCount:n});if(Ue.webgpu.validateInputContent&&Bd(r,a),e.trainingMode)throw new Error("BatchNormalization trainingMode is not supported yet.");t.compute(Dd(r,a))}}),Ld,Ud,Wd,X0=ee(()=>{Oe(),Ae(),Ld=t=>{if(t[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![320,640,1280].includes(t[0].dims[2]))throw new Error("number of channels should be 320, 640 or 1280");if(t[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(t[0].dims[2]!==t[1].dims[0])throw new Error("last dimension of input and bias are not the same")},Ud=t=>{let e=t[0].dims,r=t[0].dims[2],n=X.size(e)/4,a=t[0].dataType,s=Q("input",a,e,4),i=Q("bias",a,[r],4),o=Q("residual",a,e,4),u=_e("output",a,e,4);return{name:"BiasAdd",getRunData:()=>({outputs:[{dims:e,dataType:t[0].dataType}],dispatchGroup:{x:Math.ceil(n/64)}}),getShaderSource:l=>` + const channels = ${r}u / 4; + ${l.declareVariables(s,i,o,u)} + + ${l.mainStart()} + ${l.guardAgainstOutOfBoundsWorkgroupSizes(n)} + let value = ${s.getByOffset("global_idx")} + + ${i.getByOffset("global_idx % channels")} + ${o.getByOffset("global_idx")}; + ${u.setByOffset("global_idx","value")} + }`}},Wd=t=>{Ld(t.inputs),t.compute(Ud(t.inputs))}}),Vd,De,Gd,Hd,jd,qd,Kd,Yd,Xd,Qd,Jd,Zd,ec,tc,rc,nc,pi,ac,hi,ic,sc,oc,uc,lc,dc,cc,pc,hc,fc,mc,gc,_c,wc,yc,bc,Xs,vc,Qs,Js,$c,xc,Sc,Zs=ee(()=>{xe(),Oe(),dt(),Ae(),Vd=(t,e,r,n,a,s)=>{let i=Math.ceil(e/4),o="";typeof a=="string"?o=`${a}(a)`:o=a("a");let u=Q("inputData",r,[i],4),l=_e("outputData",n,[i],4);return` + ${t.registerUniform("vec_size","u32").declareVariables(u,l)} + + ${s??""} + + ${t.mainStart()} + ${t.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")} + + let a = ${u.getByOffset("global_idx")}; + ${l.setByOffset("global_idx",o)} + }`},De=(t,e,r,n,a,s=t.dataType)=>({name:e,shaderCache:{hint:a,inputDependencies:["type"]},getShaderSource:i=>Vd(i,X.size(t.dims),t.dataType,s,r,n),getRunData:i=>({outputs:[{dims:t.dims,dataType:s}],dispatchGroup:{x:Math.ceil(X.size(i[0].dims)/64/4)},programUniforms:[{type:12,data:Math.ceil(X.size(t.dims)/4)}]})}),Gd=t=>{t.compute(De(t.inputs[0],"Abs","abs"))},Hd=t=>{t.compute(De(t.inputs[0],"Acos","acos"))},jd=t=>{t.compute(De(t.inputs[0],"Acosh","acosh"))},qd=t=>{t.compute(De(t.inputs[0],"Asin","asin"))},Kd=t=>{t.compute(De(t.inputs[0],"Asinh","asinh"))},Yd=t=>{t.compute(De(t.inputs[0],"Atan","atan"))},Xd=t=>{t.compute(De(t.inputs[0],"Atanh","atanh"))},Qd=t=>Ke(t),Jd=(t,e)=>{let r;switch(e.to){case 10:r="vec4";break;case 1:r="vec4";break;case 12:r="vec4";break;case 6:r="vec4";break;case 9:r="vec4";break;default:throw new RangeError(`not supported type (specified in attribute 'to' from 'Cast' operator): ${e.to}`)}t.compute(De(t.inputs[0],"Cast",r,void 0,e.cacheKey,e.to))},Zd=t=>{let e=t.length>=2&&t[1].data!==0?t[1].getFloat32Array()[0]:Ws,r=t.length>=3&&t[2].data!==0?t[2].getFloat32Array()[0]:Vs;return Ke({min:e,max:r})},ec=(t,e)=>{let r=t.inputs.length===1?e:Zd(t.inputs),n=Et(t.inputs[0].dataType);t.compute(De(t.inputs[0],"Clip",a=>`clamp(${a}, clip_min_, clip_max_)`,` + const clip_min_: vec4<${n}> = vec4(${n}(${r.min})); + const clip_max_: vec4<${n}> = vec4(${n}(${r.max})); +`,r.cacheKey),{inputs:[0]})},tc=t=>{t.compute(De(t.inputs[0],"Ceil","ceil"))},rc=t=>{t.compute(De(t.inputs[0],"Cos","cos"))},nc=t=>{t.compute(De(t.inputs[0],"Cosh","cosh"))},pi=t=>Ke(t),ac=(t,e)=>{let r=Et(t.inputs[0].dataType);t.compute(De(t.inputs[0],"Elu",n=>`elu_vf32(${n})`,` + const elu_alpha_ = ${r}(${e.alpha}); + + fn elu_f32(a: ${r}) -> ${r} { + return select((exp(a) - 1.0) * elu_alpha_, a, a >= 0.0); + } + + fn elu_vf32(v: vec4<${r}>) -> vec4<${r}> { + return vec4(elu_f32(v.x), elu_f32(v.y), elu_f32(v.z), elu_f32(v.w)); + }`,e.cacheKey))},hi=(t="f32")=>` +const r0: ${t} = 0.3275911; +const r1: ${t} = 0.254829592; +const r2: ${t} = -0.284496736; +const r3: ${t} = 1.421413741; +const r4: ${t} = -1.453152027; +const r5: ${t} = 1.061405429; + +fn erf_vf32(v: vec4<${t}>) -> vec4<${t}> { + let absv = abs(v); + let x = 1.0 / (1.0 + r0 * absv); + return sign(v) * (1.0 - ((((r5 * x + r4) * x + r3) * x + r2) * x + r1) * x * exp(-absv * absv)); +}`,ic=t=>{let e=Et(t.inputs[0].dataType);t.compute(De(t.inputs[0],"Erf",r=>`erf_vf32(${r})`,hi(e)))},sc=t=>{t.compute(De(t.inputs[0],"Exp","exp"))},oc=t=>{t.compute(De(t.inputs[0],"Floor","floor"))},uc=t=>{let e=Et(t.inputs[0].dataType);t.compute(De(t.inputs[0],"Gelu",r=>`0.5 * ${r} * (1.0 + erf_vf32(${r} * 0.7071067811865475))`,hi(e)))},lc=(t,e)=>{let r=Et(t.inputs[0].dataType);t.compute(De(t.inputs[0],"LeakyRelu",n=>`select(leaky_relu_alpha_ * ${n}, ${n}, ${n} >= vec4<${r}>(0.0))`,`const leaky_relu_alpha_ = ${r}(${e.alpha});`,e.cacheKey))},dc=t=>{t.compute(De(t.inputs[0],"Not",e=>`!${e}`))},cc=t=>{t.compute(De(t.inputs[0],"Neg",e=>`-${e}`))},pc=t=>{t.compute(De(t.inputs[0],"Reciprocal",e=>`1.0/${e}`))},hc=t=>{let e=Et(t.inputs[0].dataType);t.compute(De(t.inputs[0],"Relu",r=>`select(vec4<${e}>(0.0), ${r}, ${r} > vec4<${e}>(0.0))`))},fc=t=>{t.compute(De(t.inputs[0],"Sigmoid",e=>`(1.0 / (1.0 + exp(-${e})))`))},mc=t=>Ke(t),gc=(t,e)=>{let r=Et(t.inputs[0].dataType);t.compute(De(t.inputs[0],"HardSigmoid",n=>`max(vec4<${r}>(0.0), min(vec4<${r}>(1.0), ${e.alpha} * ${n} + vec4<${r}>(${e.beta})))`,void 0,e.cacheKey))},_c=t=>{t.compute(De(t.inputs[0],"Sin","sin"))},wc=t=>{t.compute(De(t.inputs[0],"Sinh","sinh"))},yc=t=>{t.compute(De(t.inputs[0],"Sqrt","sqrt"))},bc=t=>{t.compute(De(t.inputs[0],"Tan","tan"))},Xs=t=>`sign(${t}) * (1 - exp(-2 * abs(${t}))) / (1 + exp(-2 * abs(${t})))`,vc=t=>{t.compute(De(t.inputs[0],"Tanh",Xs))},Qs=(t="f32")=>` +const fast_gelu_a: ${t} = 0.5; +const fast_gelu_b: ${t} = 0.7978845608028654; +const fast_gelu_c: ${t} = 0.035677408136300125; + +fn tanh_v(v: vec4<${t}>) -> vec4<${t}> { + return ${Xs("v")}; +} +`,Js=t=>`(fast_gelu_a + fast_gelu_a * tanh_v(${t} * (fast_gelu_c * ${t} * ${t} + fast_gelu_b))) * ${t}`,$c=t=>{let e=Et(t.inputs[0].dataType);t.compute(De(t.inputs[0],"FastGelu",Js,Qs(e),void 0,t.inputs[0].dataType))},xc=(t,e)=>{let r=Et(t.inputs[0].dataType);return t.compute(De(t.inputs[0],"ThresholdedRelu",n=>`select(vec4<${r}>(0.0), ${n}, ${n} > thresholded_relu_alpha_)`,`const thresholded_relu_alpha_ = vec4<${r}>(${e.alpha});`,e.cacheKey)),0},Sc=t=>{t.compute(De(t.inputs[0],"Log","log"))}}),kc,Ec,Cc,Q0=ee(()=>{Oe(),Ae(),Zs(),kc=t=>{if(t[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![2560,5120,10240].includes(t[0].dims[2]))throw new Error("hidden state should be 2560, 5120 or 10240");if(t[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(t[0].dims[2]!==t[1].dims[0])throw new Error("last dimension of input and bias are not the same")},Ec=t=>{let e=t[0].dims.slice();e[2]=e[2]/2;let r=Q("input",t[0].dataType,t[0].dims,4),n=Q("bias",t[0].dataType,[t[0].dims[2]],4),a=_e("output",t[0].dataType,e,4),s=X.size(e)/4,i=ft(t[0].dataType);return{name:"BiasSplitGelu",getRunData:()=>({outputs:[{dims:e,dataType:t[0].dataType}],dispatchGroup:{x:Math.ceil(s/64)}}),getShaderSource:o=>` + const M_SQRT2 = sqrt(2.0); + const halfChannels = ${t[0].dims[2]/4/2}u; + + ${o.declareVariables(r,n,a)} + + ${hi(i)} + + ${o.mainStart()} + ${o.guardAgainstOutOfBoundsWorkgroupSizes(s)} + let biasIdx = global_idx % halfChannels; + let batchIndex = global_idx / halfChannels; + let inputOffset = biasIdx + batchIndex * halfChannels * 2; + let valueLeft = input[inputOffset] + bias[biasIdx]; + let valueRight = input[inputOffset + halfChannels] + bias[biasIdx + halfChannels]; + let geluRight = valueRight * 0.5 * (erf_vf32(valueRight / M_SQRT2) + 1); + + ${a.setByOffset("global_idx","valueLeft * geluRight")} + }`}},Cc=t=>{kc(t.inputs),t.compute(Ec(t.inputs))}}),Tc,Ic,er,Ac,Mc,Oc,zc,Rc,Pc,Bc,Dc,Nc,Fc,J0=ee(()=>{xe(),Oe(),Ae(),Tc=(t,e,r,n,a,s,i,o,u,l,c,h)=>{let m,_;typeof o=="string"?m=_=(x,C)=>`${o}((${x}),(${C}))`:typeof o=="function"?m=_=o:(m=o.scalar,_=o.vector);let p=_e("outputData",c,n.length,4),y=Q("aData",u,e.length,4),v=Q("bData",l,r.length,4),S;if(a)if(s){let x=X.size(e)===1,C=X.size(r)===1,T=e.length>0&&e[e.length-1]%4===0,I=r.length>0&&r[r.length-1]%4===0;x||C?S=p.setByOffset("global_idx",_(x?`${y.type.value}(${y.getByOffset("0")}.x)`:y.getByOffset("global_idx"),C?`${v.type.value}(${v.getByOffset("0")}.x)`:v.getByOffset("global_idx"))):S=` + let outputIndices = ${p.offsetToIndices("global_idx * 4u")}; + let offsetA = ${y.broadcastedIndicesToOffset("outputIndices",p)}; + let offsetB = ${v.broadcastedIndicesToOffset("outputIndices",p)}; + ${p.setByOffset("global_idx",_(i||T?y.getByOffset("offsetA / 4u"):`${y.type.value}(${y.getByOffset("offsetA / 4u")}[offsetA % 4u])`,i||I?v.getByOffset("offsetB / 4u"):`${v.type.value}(${v.getByOffset("offsetB / 4u")}[offsetB % 4u])`))} + `}else S=p.setByOffset("global_idx",_(y.getByOffset("global_idx"),v.getByOffset("global_idx")));else{if(!s)throw new Error("no necessary to use scalar implementation for element-wise binary op implementation.");let x=(C,T,I="")=>{let R=`aData[indexA${T}][componentA${T}]`,P=`bData[indexB${T}][componentB${T}]`;return` + let outputIndices${T} = ${p.offsetToIndices(`global_idx * 4u + ${T}u`)}; + let offsetA${T} = ${y.broadcastedIndicesToOffset(`outputIndices${T}`,p)}; + let offsetB${T} = ${v.broadcastedIndicesToOffset(`outputIndices${T}`,p)}; + let indexA${T} = offsetA${T} / 4u; + let indexB${T} = offsetB${T} / 4u; + let componentA${T} = offsetA${T} % 4u; + let componentB${T} = offsetB${T} % 4u; + ${C}[${T}] = ${I}(${m(R,P)}); + `};c===9?S=` + var data = vec4(0); + ${x("data",0,"u32")} + ${x("data",1,"u32")} + ${x("data",2,"u32")} + ${x("data",3,"u32")} + outputData[global_idx] = dot(vec4(0x1, 0x100, 0x10000, 0x1000000), vec4(data));`:S=` + ${x("outputData[global_idx]",0)} + ${x("outputData[global_idx]",1)} + ${x("outputData[global_idx]",2)} + ${x("outputData[global_idx]",3)} + `}return` + ${t.registerUniform("vec_size","u32").declareVariables(y,v,p)} + + ${h??""} + + ${t.mainStart()} + ${t.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")} + ${S} + }`},Ic=(t,e,r,n,a,s,i=r.dataType)=>{let o=!X.areEqual(r.dims,n.dims),u=r.dims,l=X.size(r.dims),c=!1,h=!1,m=[o];if(o){let _=mn.calcShape(r.dims,n.dims,!1);if(!_)throw new Error("Can't perform binary op on the given tensors");u=_,l=X.size(u);let p=X.size(r.dims)===1,y=X.size(n.dims)===1,v=r.dims.length>0&&r.dims[r.dims.length-1]%4===0,S=n.dims.length>0&&n.dims[n.dims.length-1]%4===0;m.push(p),m.push(y),m.push(v),m.push(S);let x=1;for(let C=1;C_.toString()).join("_"),inputDependencies:["rank","rank"]},getShaderSource:_=>Tc(_,r.dims,n.dims,u,c,o,h,a,r.dataType,n.dataType,i,s),getRunData:()=>({outputs:[{dims:u,dataType:i}],dispatchGroup:{x:Math.ceil(l/64/4)},programUniforms:[{type:12,data:Math.ceil(X.size(u)/4)},...ye(r.dims,n.dims,u)]})}},er=(t,e,r,n,a,s)=>{t.compute(Ic(e,a??"",t.inputs[0],t.inputs[1],r,n,s))},Ac=t=>{er(t,"Add",(e,r)=>`${e}+${r}`)},Mc=t=>{er(t,"Div",(e,r)=>`${e}/${r}`)},Oc=t=>{er(t,"Equal",{scalar:(e,r)=>`u32(${e}==${r})`,vector:(e,r)=>`vec4(${e}==${r})`},void 0,void 0,9)},zc=t=>{er(t,"Mul",(e,r)=>`${e}*${r}`)},Rc=t=>{let e=Q("input",t.inputs[0].dataType,t.inputs[0].dims).type.value;er(t,"Pow",{scalar:(r,n)=>`pow_custom(${r},${n})`,vector:(r,n)=>`pow_vector_custom(${r},${n})`},` + fn pow_custom(a : ${e}, b : ${e}) -> ${e} { + if (b == ${e}(0.0)) { + return ${e}(1.0); + } else if (a < ${e}(0.0) && f32(b) != floor(f32(b))) { + return ${e}(pow(f32(a), f32(b))); // NaN + } + return select(sign(a), ${e}(1.0), round(f32(abs(b) % ${e}(2.0))) != 1.0) * ${e}(${e==="i32"?"round":""}(pow(f32(abs(a)), f32(b)))); + } + fn pow_vector_custom(a : vec4<${e}>, b : vec4<${e}>) -> vec4<${e}> { + // TODO: implement vectorized pow + return vec4<${e}>(pow_custom(a.x, b.x), pow_custom(a.y, b.y), pow_custom(a.z, b.z), pow_custom(a.w, b.w)); + } + `)},Pc=t=>{er(t,"Sub",(e,r)=>`${e}-${r}`)},Bc=t=>{er(t,"Greater",{scalar:(e,r)=>`u32(${e}>${r})`,vector:(e,r)=>`vec4(${e}>${r})`},void 0,void 0,9)},Dc=t=>{er(t,"Less",{scalar:(e,r)=>`u32(${e}<${r})`,vector:(e,r)=>`vec4(${e}<${r})`},void 0,void 0,9)},Nc=t=>{er(t,"GreaterOrEqual",{scalar:(e,r)=>`u32(${e}>=${r})`,vector:(e,r)=>`vec4(${e}>=${r})`},void 0,void 0,9)},Fc=t=>{er(t,"LessOrEqual",{scalar:(e,r)=>`u32(${e}<=${r})`,vector:(e,r)=>`vec4(${e}<=${r})`},void 0,void 0,9)}}),jr,qr,Kr,eo,Yr=ee(()=>{xe(),Oe(),jr=(t,e,r="f32")=>{switch(t.activation){case"Relu":return`value = max(value, ${e}(0.0));`;case"Sigmoid":return`value = (${e}(1.0) / (${e}(1.0) + exp(-value)));`;case"Clip":return`value = clamp(value, ${e}(${r}(uniforms.clip_min)), ${e}(${r}(uniforms.clip_max)));`;case"HardSigmoid":return`value = max(${e}(0.0), min(${e}(1.0), ${r}(uniforms.alpha) * value + ${r}(uniforms.beta)));`;case"LeakyRelu":return`value = select(${r}(uniforms.alpha) * value, value, value >= ${e}(0.0));`;case"":return"";default:throw new Error(`Unsupported activation ${t.activation}`)}},qr=(t,e)=>{t.activation==="Clip"?e.push({type:1,data:t.clipMax},{type:1,data:t.clipMin}):t.activation==="HardSigmoid"?e.push({type:1,data:t.alpha},{type:1,data:t.beta}):t.activation==="LeakyRelu"&&e.push({type:1,data:t.alpha})},Kr=(t,e)=>{t.activation==="Clip"?e.push({name:"clip_max",type:"f32"},{name:"clip_min",type:"f32"}):t.activation==="HardSigmoid"?e.push({name:"alpha",type:"f32"},{name:"beta",type:"f32"}):t.activation==="LeakyRelu"&&e.push({name:"alpha",type:"f32"})},eo=t=>{let e=(t==null?void 0:t.activation)||"";if(e==="HardSigmoid"){let[r,n]=(t==null?void 0:t.activation_params)||[.2,.5];return{activation:e,alpha:r,beta:n}}else if(e==="Clip"){let[r,n]=(t==null?void 0:t.activation_params)||[Ws,Vs];return{activation:e,clipMax:n,clipMin:r}}else if(e==="LeakyRelu"){let[r]=(t==null?void 0:t.activation_params)||[.01];return{activation:e,alpha:r}}return{activation:e}}}),$t,to,ro=ee(()=>{$t=(t,e)=>{switch(t){case 1:return e;case 2:return`vec2<${e}>`;case 3:return`vec3<${e}>`;case 4:return`vec4<${e}>`;default:throw new Error(`${t}-component is not supported.`)}},to=t=>` + ${t?"value = value + getBiasByOutputCoords(coords);":""} + `}),no,Lc=ee(()=>{no=t=>` +fn getIndexFromCoords4D(coords : vec4, shape : vec4) -> i32 { + return dot(coords, vec4( + shape.y * shape.z * shape.w, shape.z * shape.w, shape.w, 1)); +} +fn getOutputIndexFromCoords(coords : vec4) -> i32 { + return dot(coords, vec4( + i32(${t}.x), i32(${t}.y), i32(${t}.z), 1)); +} +`}),Uc,Wc,fi,ao,Vc,mi,Gc,io,gi=ee(()=>{xe(),Oe(),Ae(),Yr(),ro(),Uc=(t,e)=>t?` + mm_Asub[inputRow][inputCol] = mm_readA(batch, + kStart + inputRow, + globalRowStart / innerElementSize + inputCol${e?", batchIndices":""}); + `:` + mm_Asub[inputRow][inputCol] = mm_readA(batch, + globalRow + innerRow, + kStart / innerElementSize + inputCol${e?", batchIndices":""}); + `,Wc=(t,e)=>t?` + let ACached0 = mm_Asub[k * innerElementSize][localRow]; + let ACached1 = mm_Asub[k * innerElementSize + 1][localRow]; + let ACached2 = mm_Asub[k * innerElementSize + 2][localRow]; + ${e===3?"":"let ACached3 = mm_Asub[k * innerElementSize + 3][localRow];"} + for (var i = 0; i < rowPerThread; i = i + 1) { + acc[i] = BCached0 * ACached0[i] + acc[i]; + acc[i] = BCached1 * ACached1[i] + acc[i]; + acc[i] = BCached2 * ACached2[i] + acc[i]; + ${e===3?"":"acc[i] = BCached3 * ACached3[i] + acc[i];"} + }`:` + for (var i = 0; i < rowPerThread; i = i + 1) { + let ACached = mm_Asub[tileRow + i][k]; + acc[i] = BCached0 * ACached.x + acc[i]; + acc[i] = BCached1 * ACached.y + acc[i]; + acc[i] = BCached2 * ACached.z + acc[i]; + ${e===3?"":"acc[i] = BCached3 * ACached.w + acc[i];"} + }`,fi=(t,e,r="f32",n,a=!1,s=32,i=!1,o=32)=>{let u=e[1]*t[1],l=e[0]*t[0],c=a?u:s,h=a?s:u,m=c/e[0],_=s/e[1];if(!((a&&m===4&&t[1]===4||!a&&(m===3||m===4))&&c%e[0]===0&&s%e[1]===0&&t[0]===4))throw new Error(`If transposeA ${a} is true, innerElementSize ${m} and workPerThread[1] ${t[1]} must be 4. + Otherwise, innerElementSize ${m} must be 3 or 4. + tileAWidth ${c} must be divisible by workgroupSize[0]${e[0]}. tileInner ${s} must be divisible by workgroupSize[1] ${e[1]}. colPerThread ${t[0]} must be 4.`);return` +var mm_Asub: array, ${c/m}>, ${h}>; +var mm_Bsub: array, ${l/t[0]}>, ${s}>; + +const rowPerThread = ${t[1]}; +const colPerThread = ${t[0]}; +const innerElementSize = ${m}; +const tileInner = ${s}; + +@compute @workgroup_size(${e[0]}, ${e[1]}, ${e[2]}) +fn main(@builtin(local_invocation_id) localId : vec3, + @builtin(global_invocation_id) globalId : vec3, + @builtin(workgroup_id) workgroupId : vec3) { + let localRow = i32(localId.y); + let tileRow = localRow * rowPerThread; + let tileCol = i32(localId.x); + + let globalRow =i32(globalId.y) * rowPerThread; + let globalCol = i32(globalId.x); + let batch = ${i?"0":"i32(globalId.z)"}; + ${n?`let batchIndices = ${n.offsetToIndices("u32(batch)")};`:""} + let globalRowStart = i32(workgroupId.y) * ${u}; + + let num_tiles = ${i?`${Math.ceil(o/s)}`:"(uniforms.dim_inner - 1) / tileInner + 1"}; + var kStart = ${i?`i32(globalId.z) * ${o}`:"0"}; + + var acc: array, rowPerThread>; + + // Loop over shared dimension. + let tileRowB = localRow * ${_}; + for (var t = 0; t < num_tiles; t = t + 1) { + // Load one tile of A into local memory. + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + let inputRow = tileRow + innerRow; + let inputCol = tileCol; + ${Uc(a,n)} + } + + // Load one tile of B into local memory. + for (var innerRow = 0; innerRow < ${_}; innerRow = innerRow + 1) { + let inputRow = tileRowB + innerRow; + let inputCol = tileCol; + mm_Bsub[inputRow][inputCol] = mm_readB(batch, kStart + inputRow, globalCol${n?", batchIndices":""}); + } + kStart = kStart + tileInner; + workgroupBarrier(); + + // Compute acc values for a single thread. + for (var k = 0; k < tileInner / innerElementSize; k = k + 1) { + let BCached0 = mm_Bsub[k * innerElementSize][tileCol]; + let BCached1 = mm_Bsub[k * innerElementSize + 1][tileCol]; + let BCached2 = mm_Bsub[k * innerElementSize + 2][tileCol]; + ${m===3?"":"let BCached3 = mm_Bsub[k * innerElementSize + 3][tileCol];"} + + ${Wc(a,m)} + } + + workgroupBarrier(); + } + + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]); + } +}`},ao=(t,e)=>t?` + mm_Asub[inputRow][inputCol] = mm_readA(batch, + kStart + inputRow, + globalRowStart + inputCol${e?", batchIndices":""}); + `:` + mm_Asub[inputRow][inputCol] = mm_readA(batch, + globalRowStart + inputRow, + kStart + inputCol${e?", batchIndices":""}); + `,Vc=t=>t?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];",mi=(t,e,r="f32",n,a=!1,s=32,i=!1,o=32,u=!1)=>{let l=t[1]*e[1],c=t[0]*e[0],h=a?l:s,m=a?s:l;if(!(m%e[1]===0&&h%e[0]===0&&s%e[1]===0))throw new Error(`tileAHight ${m} must be divisible by workgroupSize[1]${e[1]}, tileAWidth ${h} must be divisible by workgroupSize[0]${e[0]}, tileInner ${s} must be divisible by workgroupSize[1]${e[1]}`);let _=m/e[1],p=h/e[0],y=s/e[1],v=u?` + let localRow = i32(localId.y); + let localCol = i32(localId.x); + let globalRowStart = i32(workgroupId.y) * ${l}; + let globalColStart = i32(workgroupId.x) * ${c}; + + // Loop over shared dimension. + for (var t = 0; t < num_tiles; t = t + 1) { + // Load one tile of A into local memory. + for (var inputRow = localRow; inputRow < ${m}; inputRow = inputRow + ${e[1]}) { + for (var inputCol = localCol; inputCol < ${h}; inputCol = inputCol + ${e[0]}) { + ${ao(a,n)} + } + } + // Load one tile of B into local memory. + for (var inputRow = localRow; inputRow < ${s}; inputRow = inputRow + ${e[1]}) { + for (var inputCol = localCol; inputCol < ${c}; inputCol = inputCol + ${e[0]}) { + mm_Bsub[inputRow][inputCol] = mm_readB(batch, + kStart + inputRow, + globalColStart + inputCol${n?", batchIndices":""}); + } + } + kStart = kStart + tileInner; + workgroupBarrier(); + + // Compute acc values for a single thread. + var BCached : array<${r}, colPerThread>; + for (var k = 0; k < tileInner; k = k + 1) { + for (var inner = 0; inner < colPerThread; inner = inner + 1) { + BCached[inner] = mm_Bsub[k][localCol + inner * ${e[0]}]; + } + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + let ACached = ${a?`mm_Asub[k][localRow + innerRow * ${e[1]}];`:`mm_Asub[localRow + innerRow * ${e[1]}][k];`} + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + acc[innerRow][innerCol] = acc[innerRow][innerCol] + + ACached * BCached[innerCol]; + } + } + } + workgroupBarrier(); + } + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + let gRow = globalRowStart + localRow + innerRow * ${e[1]}; + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + let gCol = globalColStart + localCol + innerCol * ${e[0]}; + mm_write(batch, gRow, gCol, acc[innerRow][innerCol]); + } + } + `:` +let tileRow = i32(localId.y) * rowPerThread; +let tileCol = i32(localId.x) * colPerThread; + +let globalRow = i32(globalId.y) * rowPerThread; +let globalCol = i32(globalId.x) * colPerThread; +let globalRowStart = i32(workgroupId.y) * ${l}; + +let tileRowA = i32(localId.y) * ${_}; +let tileColA = i32(localId.x) * ${p}; +let tileRowB = i32(localId.y) * ${y}; +// Loop over shared dimension. +for (var t = 0; t < num_tiles; t = t + 1) { + // Load one tile of A into local memory. + for (var innerRow = 0; innerRow < ${_}; innerRow = innerRow + 1) { + for (var innerCol = 0; innerCol < ${p}; innerCol = innerCol + 1) { + let inputRow = tileRowA + innerRow; + let inputCol = tileColA + innerCol; + ${ao(a,n)} + } + } + + // Load one tile of B into local memory. + for (var innerRow = 0; innerRow < ${y}; innerRow = innerRow + 1) { + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + let inputRow = tileRowB + innerRow; + let inputCol = tileCol + innerCol; + mm_Bsub[inputRow][inputCol] = mm_readB(batch, + kStart + inputRow, + globalCol + innerCol${n?", batchIndices":""}); + } + } + kStart = kStart + tileInner; + workgroupBarrier(); + + // Compute acc values for a single thread. + var BCached : array<${r}, colPerThread>; + for (var k = 0; k < tileInner; k = k + 1) { + for (var inner = 0; inner < colPerThread; inner = inner + 1) { + BCached[inner] = mm_Bsub[k][tileCol + inner]; + } + + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + ${Vc(a)} + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + acc[innerRow][innerCol] = acc[innerRow][innerCol] + ACached * BCached[innerCol]; + } + } + } + + workgroupBarrier(); +} + +for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + mm_write(batch, globalRow + innerRow, globalCol + innerCol, + acc[innerRow][innerCol]); + } +} +`;return` + var mm_Asub : array, ${m}>; + var mm_Bsub : array, ${s}>; + const rowPerThread = ${t[1]}; + const colPerThread = ${t[0]}; + const tileInner = ${s}; + +@compute @workgroup_size(${e[0]}, ${e[1]}, ${e[2]}) +fn main(@builtin(local_invocation_id) localId : vec3, + @builtin(global_invocation_id) globalId : vec3, + @builtin(workgroup_id) workgroupId : vec3) { + let batch = ${i?"0":"i32(globalId.z)"}; + ${n?`let batchIndices = ${n.offsetToIndices("u32(batch)")};`:""} + let num_tiles = ${i?`${Math.ceil(o/s)}`:"(uniforms.dim_inner - 1) / tileInner + 1"}; + var kStart = ${i?`i32(globalId.z) * ${o}`:"0"}; + + var acc : array, rowPerThread>; + + // Without this initialization strange values show up in acc. + for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) { + for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) { + acc[innerRow][innerCol] = 0.0; + } + } + ${v} + } +`},Gc=(t,e,r,n,a,s=!1)=>{let[i,o,u]=a,[l,c,h,m]=n,_=Xn(i,u),p=Xn(o,u),y=ft(n[0].type.tensor),v=()=>{let x=c.rank,C=l.rank,T=`var aIndices: ${c.type.indices};`;for(let I=x-2-1,R=C-1;I>=0;I--,R--)T+=` +aIndices[${I}] = ${C>1?`batchIndices[${R}]`:"batchIndices"};`;return _.forEach(I=>{T+=` +aIndices[${I}] = 0;`}),T+=` +aIndices[${x-2}] = u32(row); + aIndices[${x-1}] = u32(colIn);`,T},S=()=>{let x=h.rank,C=l.rank,T=`var bIndices: ${h.type.indices};`;for(let I=x-2-1,R=C-1;I>=0;I--,R--)T+=` +bIndices[${I}] = ${C>1?`batchIndices[${R}]`:"batchIndices"};`;return p.forEach(I=>{T+=` +bIndices[${I}] = 0;`}),T+=` +bIndices[${x-2}] = u32(row); + bIndices[${x-1}] = u32(colIn);`,T};return` + fn mm_readA(batch: i32, row: i32, colIn: i32, batchIndices: ${l.type.indices}) -> ${$t(t,y)} { + var value = ${$t(t,y)}(0.0); + let col = colIn * ${t}; + if(row < uniforms.dim_a_outer && col < uniforms.dim_inner) + { + ${v()} + value = ${c.getByIndices("aIndices")}; + } + return value; + } + + fn mm_readB(batch: i32, row: i32, colIn: i32, batchIndices: ${l.type.indices}) -> ${$t(t,y)} { + var value = ${$t(t,y)}(0.0); + let col = colIn * ${t}; + if(row < uniforms.dim_inner && col < uniforms.dim_b_outer) + { + ${S()} + value = ${h.getByIndices("bIndices")}; + } + return value; + } + + fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${$t(t,y)}) { + let col = colIn * ${t}; + if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) { + var value = valueIn; + let coords = vec3(batch, row, colIn); + ${e?`value = value + ${s?"bias[colIn]":`${$t(t,y)}(bias[row])`};`:""} + ${r} + ${m.setByIndices("vec3(coords)","value")} + } + } + `},io=(t,e,r,n,a=!1)=>{let s=t[0].dims,i=t[1].dims,o=s.slice(0,-2),u=i.slice(0,-2),l=n?n.slice(0,-2):r.slice(0,-2),c=X.size(l),h=s[s.length-2],m=s[s.length-1],_=i[i.length-1],p=m%4===0&&_%4===0,y=h<=8?[4,1,1]:[4,4,1],v=[8,8,1],S=[Math.ceil(_/v[0]/y[0]),Math.ceil(h/v[1]/y[1]),Math.ceil(c/v[2]/y[2])],x=p?4:1,C=[...o,h,m/x],T=C.length,I=[...u,m,_/x],R=I.length,P=[c,h,_/x],G=[{type:6,data:h},{type:6,data:_},{type:6,data:m}];qr(e,G),G.push(...ye(l,C,I));let j=["rank","rank"],K=t.length>2;K&&(G.push(...ye(t[2].dims)),j.push("rank")),G.push(...ye(P));let he=ne=>{let te=l.length,se=Gs("batchDims",t[0].dataType,te,1),D=ft(t[0].dataType),M=Q("a",t[0].dataType,T,x),V=Q("b",t[1].dataType,R,x),q=_e("result",t[0].dataType,P.length,x),ce=[M,V];if(K){let Se=a?x:1;ce.push(Q("bias",t[2].dataType,t[2].dims.length,Se))}let ue=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"}];Kr(e,ue);let B=ft(q.type.tensor),ae=jr(e,q.type.value,B),de=Gc(x,K,ae,[se,M,V,q],[o,u,l],a);return` + ${ne.registerUniforms(ue).registerInternalVariables(se).declareVariables(...ce,q)} + ${de} + ${p?fi(y,v,D,se):mi(y,v,D,se)} + `};return{name:"MatMul",shaderCache:{hint:`${y};${e.activation};${p};${a}`,inputDependencies:j},getRunData:()=>({outputs:[{dims:r,dataType:t[0].dataType}],dispatchGroup:{x:S[0],y:S[1],z:S[2]},programUniforms:G}),getShaderSource:he}}}),Hc,jc,Z0=ee(()=>{xe(),Hr(),Ae(),Yr(),ro(),Lc(),gi(),Hc=(t,e,r,n,a=!1,s,i=4,o=4,u=4,l="f32")=>{let c=j=>{switch(j){case 1:return"resData = x[xIndex];";case 3:return`resData = vec3<${l}>(x[xIndex], x[xIndex + 1], x[xIndex + 2]);`;case 4:return"resData = x[xIndex / 4];";default:throw new Error(`innerElementSize ${j} is not supported.`)}},h=j=>{switch(j){case 1:return"return w[row * i32(uniforms.w_shape[3]) + colIn];";case 4:return"return w[row * i32(uniforms.w_shape[3]) / 4 + colIn];";default:throw new Error(`innerElementSize ${j} is not supported.`)}},m=t?` + let coord = vec4(batch, xRow, xCol, xCh); + `:` + let coord = vec4(batch, xCh, xRow, xCol); + `,_=t?` + let coords = vec4( + batch, + row / outWidth, + row % outWidth, + col); + `:` + let coords = vec4( + batch, + row, + col / outWidth, + col % outWidth); + `,p=t?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",y=t?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",v=t?"row":"col",S=t?"col":"row",x=` + let inChannels = i32(uniforms.w_shape[2]); + let outWidth = ${t?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"}; + let outRow = ${v} / outWidth; + let outCol = ${v} % outWidth; + + let WRow = ${S} / (i32(uniforms.w_shape[1]) * inChannels); + let WCol = ${S} / inChannels % i32(uniforms.w_shape[1]); + let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * WRow - uniforms.pad[0]; + let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * WCol - uniforms.pad[1]; + let xCh = ${S} % inChannels; + var resData = ${$t(i,l)}(0.0); + // The bounds checking is always needed since we use it to pad zero for + // the 'same' padding type. + if (xRow >= 0 && xRow < ${p} && xCol >= 0 && xCol < ${y}) { + ${m} + let xIndex = getIndexFromCoords4D(coord, vec4(uniforms.x_shape)); + ${c(i)} + } + return resData;`,C=t?e&&n?` + let col = colIn * ${i}; + ${x}`:` + let col = colIn * ${i}; + if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) { + ${x} + } + return ${$t(i,l)}(0.0);`:n&&r?` + let col = colIn * ${i}; + ${x}`:` + let col = colIn * ${i}; + if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) { + ${x} + } + return ${$t(i,l)}(0.0);`,T=`${h(o)}`,I=$t(u,l),R=$t(t?i:o,l),P=$t(t?o:i,l),G=jr(s,I,l);return` + fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${R} { + ${t?C:T} + } + + fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${P} { + ${t?T:C} + } + + fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${I}) { + let col = colIn * ${u}; + if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) + { + var value = valueIn; + let outWidth = ${t?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"}; + ${_} + ${to(a)} + ${G} + setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value); + } + }`},jc=(t,e,r,n,a,s,i,o)=>{let u=e.format==="NHWC",l=u?t[0].dims[3]:t[0].dims[1],c=r[0],h=u?r[2]:r[3],m=u?r[1]:r[2],_=u?r[3]:r[1],p=u&&(l%4===0||l%3===0)&&_%4===0,y=u?_:h*m,v=u?h*m:_,S=[8,8,1],x=n<=8?[4,1,1]:[4,4,1],C=[Math.ceil(y/S[0]/x[0]),Math.ceil(v/S[1]/x[1]),Math.ceil(c/S[2]/x[2])];tt("verbose",()=>`[conv2d_mm_webgpu] dispatch = ${C}`);let T=p?u&&l%4!==0?3:4:1,I=S[1]*x[1],R=S[0]*x[0],P=Math.max(S[0]*T,S[1]),G=n%I===0,j=a%R===0,K=s%P===0,he=p?[T,4,4]:[1,1,1],ne=[{type:6,data:n},{type:6,data:a},{type:6,data:s},{type:6,data:[e.pads[0],e.pads[1]]},{type:6,data:e.strides},{type:6,data:e.dilations}];qr(e,ne),ne.push(...ye(t[0].dims,t[1].dims));let te=["rank","rank"];i&&(ne.push(...ye(t[2].dims)),te.push("rank")),ne.push(...ye(r));let se=D=>{let M=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"},{name:"pad",type:"i32",length:2},{name:"stride",type:"i32",length:2},{name:"dilation",type:"i32",length:2}];Kr(e,M);let V=p?4:1,q=ft(t[0].dataType),ce=` + fn setOutputAtIndex(flatIndex : i32, value : ${p?`vec4<${q}>`:q}) { + result[flatIndex] = ${p?`vec4<${q}>`:q}(value); + } + fn setOutputAtCoords(d0 : i32, d1 : i32, d2 : i32, d3 : i32, value : ${p?`vec4<${q}>`:q}) { + let flatIndex = getOutputIndexFromCoords(vec4(d0, d1, d2, d3)); + setOutputAtIndex(flatIndex ${p?"/ 4":""}, value); + }`,ue=Q("x",t[0].dataType,t[0].dims.length,T===3?1:T),B=Q("w",t[1].dataType,t[1].dims.length,V),ae=[ue,B],de=_e("result",t[0].dataType,r.length,V);if(i){let Se=Q("bias",t[2].dataType,t[2].dims.length,V);ae.push(Se),ce+=` + fn getBiasByOutputCoords(coords : vec4) -> ${p?`vec4<${q}>`:q} { + return bias[coords.${u?"w":"y"}${p?"/ 4":""}]; + }`}return` + ${no("uniforms.result_strides")} + //struct Uniforms { xShape : vec4, wShape : vec4, outShape : vec4, + // outShapeStrides: vec3, filterDims : vec2, pad : vec2, stride : vec2, + // dilation : vec2, dimAOuter : i32, dimBOuter : i32, dimInner : i32 }; + ${D.registerUniforms(M).declareVariables(...ae,de)} + ${ce} + ${Hc(u,G,j,K,i,e,he[0],he[1],he[2],q)} + ${p?fi(x,S,q,void 0,!u,P):mi(x,S,q,void 0,!u,P,!1,void 0,o)}`};return{name:"Conv2DMatMul",shaderCache:{hint:`${e.cacheKey};${T};${p};${G};${j};${K};${I};${R};${P}`,inputDependencies:te},getRunData:()=>({outputs:[{dims:r,dataType:t[0].dataType}],dispatchGroup:{x:C[0],y:C[1],z:C[2]},programUniforms:ne}),getShaderSource:se}}}),so,qc,ew=ee(()=>{xe(),Oe(),Ae(),ep(),Yr(),so=(t,e,r)=>{let n=t.length>2,a=n?"value += b[output_channel];":"",s=t[0].dims,i=t[1].dims,o=i[0]/e.group,u=e.format==="NHWC",l=_i(s,i,e.dilations,e.pads,e.strides,u),c=X.size(l),h=[{type:12,data:c},{type:12,data:e.dilations},{type:12,data:[e.strides[0],e.strides[1]]},{type:12,data:[e.pads[0],e.pads[1]]},{type:12,data:o}];qr(e,h),h.push(...ye(s,i));let m=["rank","rank"];n&&(h.push(...ye(t[2].dims)),m.push("rank")),h.push(...ye(l));let _=p=>{let y=_e("output",t[0].dataType,l.length),v=ft(y.type.tensor),S=jr(e,y.type.value,v),x=Q("x",t[0].dataType,s.length),C=Q("w",t[1].dataType,i.length),T=[x,C];n&&T.push(Q("b",t[2].dataType,t[2].dims.length));let I=[{name:"output_size",type:"u32"},{name:"dilations",type:"u32",length:e.dilations.length},{name:"strides",type:"u32",length:2},{name:"pads",type:"u32",length:2},{name:"output_channels_per_group",type:"u32"}];return Kr(e,I),` + ${p.registerUniforms(I).declareVariables(...T,y)} + + ${p.mainStart()} + ${p.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + + let outputIndices = ${y.offsetToIndices("global_idx")}; + let batch: u32 = outputIndices[0]; + let output_channel: u32 = outputIndices[${u?3:1}]; + let xRCCorner: vec2 = vec2(outputIndices[${u?1:2}], outputIndices[${u?2:3}]) * uniforms.strides - uniforms.pads; + let group_id: u32 = output_channel / uniforms.output_channels_per_group; + + var value: ${y.type.value} = ${y.type.value}(0); + for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[1]; wInChannel++) { + let input_channel = group_id * uniforms.w_shape[1] + wInChannel; + for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[2]; wHeight++) { + let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0]; + + if (xHeight < 0u || xHeight >= uniforms.x_shape[${u?1:2}]) { + continue; + } + + for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[3]; wWidth++) { + let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1]; + if (xWidth < 0u || xWidth >= uniforms.x_shape[${u?2:3}]) { + continue; + } + + let xVal = ${u?x.get("batch","xHeight","xWidth","input_channel"):x.get("batch","input_channel","xHeight","xWidth")}; + let wVal = ${C.get("output_channel","wInChannel","wHeight","wWidth")}; + value += xVal*wVal; + } + } + } + ${a} + ${S} + ${y.setByOffset("global_idx","value")} + }`};return{name:"GroupedConv",shaderCache:{hint:e.cacheKey,inputDependencies:m},getRunData:()=>({outputs:[{dims:r?r(l):l,dataType:t[0].dataType}],dispatchGroup:{x:Math.ceil(c/64)},programUniforms:h}),getShaderSource:_}},qc=(t,e,r)=>{let n=t.length>2,a=at(r[3]),s=at(r[2]),i=X.size(r)/a/s,o=[t[0].dims[0],t[0].dims[1],t[0].dims[2],t[0].dims[3]/a],u=[t[1].dims[0],t[1].dims[1],t[1].dims[2],t[1].dims[3]/a],l=[r[0],r[1],r[2],r[3]/a],c=[{type:12,data:i},{type:6,data:[e.strides[0],e.strides[1]]},{type:6,data:[e.pads[0],e.pads[1]]}];qr(e,c),c.push(...ye(o,u,l));let h=(s-1)*e.strides[1]+u[1],m=_=>{let p=_e("output",t[0].dataType,l.length,a),y=ft(p.type.tensor),v=jr(e,p.type.value,y),S=Q("x",t[0].dataType,o.length,a),x=Q("w",t[1].dataType,u.length,a),C=[S,x];n&&C.push(Q("b",t[2].dataType,t[2].dims,a));let T=n?"value += b[output_channel];":"",I=[{name:"output_size",type:"u32"},{name:"strides",type:"i32",length:2},{name:"pads",type:"i32",length:2}];return Kr(e,I),` + ${_.registerUniforms(I).declareVariables(...C,p)} + ${_.mainStart()} + ${_.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let width0 = uniforms.output_shape[3]; + let output_channel = global_idx % width0; + var index1 = global_idx / width0; + let width1 = uniforms.output_shape[2] / ${s}u; + let col = (index1 % width1) * ${s}u; + index1 = index1 / width1; + let row = index1 % uniforms.output_shape[1]; + let batch = index1 / uniforms.output_shape[1]; + + let x_corner = vec2(i32(row), i32(col)) * uniforms.strides - uniforms.pads; + + var x_vals: array<${S.type.value}, ${h}>; + var values: array<${p.type.value}, ${s}>; + let input_channel = output_channel; + // Use constant instead of uniform can give better performance for w's height/width. + for (var w_height: u32 = 0u; w_height < ${u[0]}; w_height++) { + let x_height = x_corner.x + i32(w_height); + if (x_height >= 0 && u32(x_height) < uniforms.x_shape[1]) { + for (var i = 0; i < ${h}; i++) { + let x_width = x_corner.y + i; + if (x_width >= 0 && u32(x_width) < uniforms.x_shape[2]) { + x_vals[i] = ${S.get("batch","u32(x_height)","u32(x_width)","input_channel")}; + } else { + x_vals[i] = ${S.type.value}(0); + } + } + for (var w_width: u32 = 0u; w_width < ${u[1]}; w_width++) { + let w_val = ${x.get("w_height","w_width","0","output_channel")}; + for (var i = 0u; i < ${s}u; i++) { + values[i] = fma(x_vals[i * u32(uniforms.strides[1]) + w_width], w_val, values[i]); + } + } + } + } + + for (var i = 0u; i < ${s}u; i++) { + var value = values[i]; + ${T} + ${v} + ${p.set("batch","row","col + i","output_channel","value")}; + } + }`};return{name:"GroupedConv-Vectorize",shaderCache:{hint:`${e.cacheKey};${a};${s};${h};${u[0]};${u[1]}`,inputDependencies:n?["rank","rank","type"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:r,dataType:t[0].dataType}],dispatchGroup:{x:Math.ceil(i/64)},programUniforms:c}),getShaderSource:m}}}),oo,Kc,Yc,Xc=ee(()=>{xe(),Oe(),gi(),Ae(),Yr(),oo=(t,e,r,n,a=!1)=>{let s=t[0].dims,i=t[1].dims,o=s[s.length-2],u=i[i.length-1],l=s[s.length-1],c=at(u),h=at(l),m=at(o),_=X.size(r)/c/m,p=t.length>2,y=n?n.slice(0,-2):r.slice(0,-2),v=[X.size(y),o,u],S=[{type:12,data:_},{type:12,data:o},{type:12,data:u},{type:12,data:l}];qr(e,S),S.push(...ye(y,s,i)),p&&S.push(...ye(t[2].dims)),S.push(...ye(v));let x=C=>{let T=Gs("batch_dims",t[0].dataType,y.length),I=Q("a",t[0].dataType,s.length,h),R=Q("b",t[1].dataType,i.length,c),P=_e("output",t[0].dataType,v.length,c),G=ft(P.type.tensor),j=jr(e,P.type.value,G),K=[I,R],he="";if(p){let ce=a?c:1;K.push(Q("bias",t[2].dataType,t[2].dims.length,ce)),he=`${a?`value += bias[col / ${ce}];`:`value += ${P.type.value}(bias[row + i]);`}`}let ne=s.slice(0,-2),te=i.slice(0,-2),se=Xn(ne,y),D=Xn(te,y),M=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"}];Kr(e,M);let V=(ce,ue)=>{let B=ce.rank,ae=ce.name;if(B===2)return`var ${ae}_indices = ${ce.type.indices}(0u, 0u);`;let de=T.rank,Se=`var ${ae}_indices: ${ce.type.indices};`;for(let Te=B-2-1,Xe=de-1;Te>=0;Te--,Xe--)Se+=` +${ae}_indices[${Te}] = ${de>1?`batch_indices[${Xe}]`:"batch_indices"};`;return ue.forEach(Te=>{Se+=` +${ae}_indices[${Te}] = 0;`}),Se+=`${ae}_indices[${B-2}] = 0u; + ${ae}_indices[${B-1}] = 0u;`,Se},q=()=>{let ce=`var a_data: ${I.type.value};`;for(let ue=0;ue; + for (var k: u32 = 0u; k < uniforms.K; k = k + ${h}) { + ${q()} + } + for (var i = 0u; i < ${m}u; i++) { + var value = values[i]; + ${he} + ${j} + let cur_indices = ${P.type.indices}(batch, row + i, col); + let offset = ${P.indicesToOffset("cur_indices")}; + ${P.setByOffset(`offset / ${c}`,"value")}; + } + } + `};return{name:"MatMulNaive",shaderCache:{hint:`${e.activation};${c};${h};${m};${a}`,inputDependencies:p?["rank","rank","rank"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:r,dataType:t[0].dataType}],dispatchGroup:{x:Math.ceil(_/64)},programUniforms:S}),getShaderSource:x}},Kc=t=>{if(!t||t.length!==2)throw new Error("MatMul requires 2 inputs.");if(t[0].dims[t[0].dims.length-1]!==t[1].dims[t[1].dims.length-2])throw new Error("shared dimension does not match.")},Yc=t=>{Kc(t.inputs);let e=mn.calcShape(t.inputs[0].dims,t.inputs[1].dims,!0);if(!e)throw new Error("Can't use matmul on the given tensors");let r=e[e.length-1],n=t.inputs[0].dims[t.inputs[0].dims.length-1];r<8&&n<8?t.compute(oo(t.inputs,{activation:""},e)):t.compute(io(t.inputs,{activation:""},e))}}),_i,wi,Qc,uo,lo,Jc,Zc,co,ep=ee(()=>{Oe(),Z0(),gi(),ew(),Yr(),Xc(),Qn(),_i=(t,e,r,n,a,s)=>{let i=t[0],o=t.slice(s?1:2,s?3:4),u=o.length,l=e[0],c=e.slice(2).map((m,_)=>m+(m-1)*(r[_]-1)),h=o.map((m,_)=>m+n[_]+n[_+u]).map((m,_)=>Math.floor((m-c[_]+a[_])/a[_]));return h.splice(0,0,i),h.splice(s?3:1,0,l),h},wi=[2,3,1,0],Qc=(t,e)=>{if(!t||t.length!==2&&t.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(t[0].dims.length!==4&&t[0].dims.length!==3)throw new Error("currently only support conv 1D and 2D");if(t[0].dims.length!==t[1].dims.length)throw new Error("filter does not have same dimension as input");let r=t[0].dims[e.format==="NHWC"?t[0].dims.length-1:1],n=t[1].dims[1]*e.group;if(r!==n)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(t.length===3&&(t[2].dims.length!==1||t[1].dims[0]!==t[2].dims[0]))throw new Error("invalid bias");let a=t[0].dims.length-2;if(e.dilations.length!==a)throw new Error(`dilations should be ${a}D`);if(e.strides.length!==a)throw new Error(`strides should be ${a}D`);if(e.pads.length!==a*2)throw new Error(`pads should be ${a*2}D`);if(e.kernelShape.length!==0&&e.kernelShape.length!==t[1].dims.length-2)throw new Error("invalid kernel shape")},uo=(t,e)=>{let r=t.kernelShape.slice();for(let s=2;s{let e=eo(t),r=t.format,n=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][t.auto_pad],a=t.dilations,s=t.group,i=t.kernel_shape,o=t.pads,u=t.strides,l=t.w_is_const();return{autoPad:n,format:r,dilations:a,group:s,kernelShape:i,pads:o,strides:u,wIsConst:l,...e,cacheKey:`${t.format};${e.activation};`}},Jc=(t,e,r)=>{let n=uo(r,e),a=r.format==="NHWC";if(r.group!==1){if(!t.adapterInfo.isArchitecture("ampere")&&a&&e[1].dims[0]===r.group&&e[1].dims[1]===1&&r.dilations[0]===1&&r.dilations[1]===1){let R=_i(e[0].dims,e[1].dims,r.dilations,n.pads,r.strides,a),P=t.kernelCustomData.wT??t.compute(br(e[1],wi),{inputs:[1],outputs:[r.wIsConst?-2:-1]})[0];r.wIsConst&&!t.kernelCustomData.wT&&(t.kernelCustomData.wT=P);let G=[e[0],P];e.length===3&&G.push(e[2]),t.compute(qc(G,n,R),{inputs:G})}else t.compute(so(e,n));return}let s=e.length===3,i=e[0].dims[a?1:2],o=e[0].dims[a?2:3],u=e[0].dims[a?3:1],l=e[1].dims[2],c=e[1].dims[3],h=_i(e[0].dims,e[1].dims,r.dilations,n.pads,r.strides,a),m=h[a?1:2],_=h[a?2:3],p=h[a?3:1],y=a&&l===i&&c===o&&r.pads[0]===0&&r.pads[1]===0;if(y||l===1&&c===1&&r.dilations[0]===1&&r.dilations[1]===1&&r.strides[0]===1&&r.strides[1]===1&&r.pads[0]===0&&r.pads[1]===0){let R=h[0],P,G,j,K=[];if(a){let te=t.kernelCustomData.wT??t.compute(br(e[1],wi),{inputs:[1],outputs:[r.wIsConst?-2:-1]})[0];if(r.wIsConst&&!t.kernelCustomData.wT&&(t.kernelCustomData.wT=te),y){let se=i*o*u;P=e[0].reshape([1,R,se]),G=te.reshape([1,se,p]),j=[1,R,p]}else P=e[0].reshape([R,i*o,u]),G=te.reshape([1,u,p]),j=[R,m*_,p];K.push(P),K.push(G)}else P=e[0].reshape([R,u,i*o]),G=e[1].reshape([1,p,u]),j=[R,p,m*_],K.push(G),K.push(P);s&&K.push(e[2]);let he=j[2],ne=K[0].dims[K[0].dims.length-1];he<8&&ne<8?t.compute(oo(K,n,h,j,a),{inputs:K}):t.compute(io(K,n,h,j,a),{inputs:K});return}let v=!0,S=t.kernelCustomData.wT??t.compute(br(e[1],wi),{inputs:[1],outputs:[r.wIsConst?-2:-1]})[0];r.wIsConst&&!t.kernelCustomData.wT&&(t.kernelCustomData.wT=S);let x=[e[0],S];s&&x.push(e[2]);let C=a?m*_:p,T=a?p:m*_,I=l*c*u;t.compute(jc(x,n,h,C,T,I,s,v),{inputs:x})},Zc=(t,e)=>{let r=e.format==="NHWC",n=[t.inputs[0].reshape(r?[t.inputs[0].dims[0],1,t.inputs[0].dims[1],t.inputs[0].dims[2]]:[t.inputs[0].dims[0],t.inputs[0].dims[1],1,t.inputs[0].dims[2]]),t.inputs[1].reshape([t.inputs[1].dims[0],t.inputs[1].dims[1],1,t.inputs[1].dims[2]])];t.inputs.length===3&&n.push(t.inputs[2]);let a=[0,e.pads[0],0,e.pads[1]],s=[1].concat(e.strides),i=[1].concat(e.dilations),o=[1].concat(e.kernelShape),u=uo({...e,pads:a,strides:s,dilations:i,kernelShape:o},n);t.compute(so(n,u,l=>r?[l[0],l[2],l[3]]:[]))},co=(t,e)=>{Qc(t.inputs,e),t.inputs[0].dims.length===3?Zc(t,e):Jc(t,t.inputs,e)}}),tp,rp,tw=ee(()=>{xe(),Hr(),Ae(),Yr(),ro(),Lc(),gi(),tp=(t,e=!1,r,n,a=4)=>{let s=v=>{switch(v){case 1:return"return w[getIndexFromCoords4D(coord, vec4(uniforms.w_shape))];";case 4:return` + let coord1 = vec4(coordX, coordY, col + 1, rowInner); + let coord2 = vec4(coordX, coordY, col + 2, rowInner); + let coord3 = vec4(coordX, coordY, col + 3, rowInner); + let v0 = w[getIndexFromCoords4D(coord, vec4(uniforms.w_shape))]; + let v1 = w[getIndexFromCoords4D(coord1, vec4(uniforms.w_shape))]; + let v2 = w[getIndexFromCoords4D(coord2, vec4(uniforms.w_shape))]; + let v3 = w[getIndexFromCoords4D(coord3, vec4(uniforms.w_shape))]; + return ${n}(v0, v1, v2, v3); + `;default:throw new Error(`innerElementSize ${v} is not supported.`)}},i=t?` + let coord = vec4(batch, iXR, iXC, xCh); + `:` + let coord = vec4(batch, xCh, iXR, iXC); + `,o=t?` + let coords = vec4( + batch, + row / outWidth, + row % outWidth, + col); + `:` + let coords = vec4( + batch, + row, + col / outWidth, + col % outWidth); + `,u=t?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",l=t?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",c=t?"row":"col",h=t?"col":"row",m=` + let inChannels = ${t?"i32(uniforms.x_shape[3])":"i32(uniforms.x_shape[1])"}; + let outWidth = ${t?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"}; + let outRow = ${c} / outWidth; + let outCol = ${c} % outWidth; + + let WRow = ${h} / (uniforms.filter_dims[1] * inChannels); + let WCol = ${h} / inChannels % uniforms.filter_dims[1]; + let xR = f32(outRow - uniforms.pads[0] + uniforms.dilations[0] * WRow) / f32(uniforms.strides[0]); + let xC = f32(outCol - uniforms.pads[1] + uniforms.dilations[1] * WCol) / f32(uniforms.strides[1]); + if (xR < 0.0 || xR >= f32(${u}) || fract(xR) > 0.0) { + return ${n}(0.0); + } + if (xC < 0.0 || xC >= f32(${l}) || fract(xC) > 0.0) { + return ${n}(0.0); + } + let iXR = i32(xR); + let iXC = i32(xC); + let xCh = ${h} % inChannels; + ${i} + return x[getIndexFromCoords4D(coord, vec4(uniforms.x_shape))/${a}];`,_=t?` + let col = colIn * ${a}; + if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) { + ${m} + } + return ${n}(0.0);`:` + let col = colIn * ${a}; + if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) { + ${m} + } + return ${n}(0.0);`,p=` + let col = colIn * ${a}; + let inChannels = ${t?"i32(uniforms.x_shape[3])":"i32(uniforms.x_shape[1])"}; + let coordX = uniforms.filter_dims[0] - 1 - row / (uniforms.filter_dims[1] * inChannels); + let coordY = uniforms.filter_dims[1] - 1 - (row / inChannels) % uniforms.filter_dims[1]; + if (${t?"row < uniforms.dim_inner && col < uniforms.dim_b_outer":"row < uniforms.dim_inner && col < uniforms.dim_a_outer"} && coordX >= 0 && coordY >= 0) { + let rowInner = row % inChannels; + let coord = vec4(coordX, coordY, col, rowInner); + ${s(a)} + } + return ${n}(0.0); + `,y=jr(r,n);return` + fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${n} { + ${t?_:p} + } + + fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${n} { + ${t?p:_} + } + + fn mm_write(batch: i32, row : i32, colIn : i32, valueInput : ${n}) { + let col = colIn * ${a}; + if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) { + var value = valueInput; + let outWidth = ${t?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"}; + ${o} + ${to(e)} + ${y} + result[getIndexFromCoords4D(coords, vec4(uniforms.result_shape))/${a}] = value; + } + }`},rp=(t,e,r,n,a,s,i,o)=>{let u=e.format==="NHWC",l=u?t[0].dims[3]:t[0].dims[1],c=r[0],h=u?r[2]:r[3],m=u?r[1]:r[2],_=u?r[3]:r[1],p=u&&l%4===0&&l%3&&_%4===0,y=u?_:h*m,v=u?h*m:_,S=[8,8,1],x=n<=8?[4,1,1]:[4,4,1],C=[Math.ceil(y/S[0]/x[0]),Math.ceil(v/S[1]/x[1]),Math.ceil(c/S[2]/x[2])];tt("verbose",()=>`[conv_backprop_mm_webgpu] dispatch = ${C}`);let T=p?4:1,I=Math.max(S[0]*T,S[1]),R=p?4:1,P=[e.kernelShape[u?1:2],e.kernelShape[u?2:3]],G=[P[0]+(e.dilations[0]<=1?0:(P[0]-1)*(e.dilations[0]-1)),P[1]+(e.dilations[1]<=1?0:(P[1]-1)*(e.dilations[1]-1))],j=[G[0]-1-Math.floor((e.pads[0]+e.pads[2])/2),G[1]-1-Math.floor((e.pads[1]+e.pads[3])/2)],K=[{type:6,data:n},{type:6,data:a},{type:6,data:s},{type:6,data:e.strides},{type:6,data:e.dilations},{type:6,data:P},{type:6,data:j}];qr(e,K),K.push(...ye(t[0].dims,t[1].dims));let he=["rank","rank"];i&&(K.push(...ye(t[2].dims)),he.push("rank")),K.push(...ye(r));let ne=te=>{let se=Q("x",t[0].dataType,t[0].dims.length,R),D=Q("w",t[1].dataType,t[1].dims.length,1),M=_e("result",t[0].dataType,r.length,R),V=[se,D],q="";if(i){let B=Q("bias",t[2].dataType,t[2].dims.length,R);V.push(B),q+=` + fn getBiasByOutputCoords(coords : vec4) -> ${B.type.value} { + return bias[coords.${u?"w":"y"}${p?"/ 4":""}]; + }`}let ce=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"},{name:"strides",type:"i32",length:2},{name:"dilations",type:"i32",length:2},{name:"filter_dims",type:"i32",length:P.length},{name:"pads",type:"i32",length:j.length}];Kr(e,ce);let ue=ft(t[0].dataType,1);if(ue!=="f16"&&ue!=="f32")throw new Error(`elemType ${ue} is not supported.`);return` + ${no("uniforms.result_strides")} + ${te.registerUniforms(ce).declareVariables(...V,M)}; + ${q} + ${tp(u,i,e,se.type.value,T)} + ${p?fi(x,S,ue,void 0,!u,I):mi(x,S,ue,void 0,!u,I,!1,void 0,o)}`};return{name:"Conv2DTransposeMatMul",shaderCache:{hint:`${e.cacheKey};${x};${S};${p}`,inputDependencies:he},getRunData:()=>({outputs:[{dims:r,dataType:t[0].dataType}],dispatchGroup:{x:C[0],y:C[1],z:C[2]},programUniforms:K}),getShaderSource:ne}}}),np,po,rw=ee(()=>{xe(),Hr(),Oe(),Ae(),np=(t,e,r,n,a,s=!1,i,o,u=!1)=>{let l=u?1:2,c=u?2:3,h=u?3:1,m=s?2:1,_=` + fn setOutputAtIndex(flatIndex : u32, value : ${s?`vec4<${i}>`:i}) { + result[flatIndex] = ${s?`vec4<${i}>`:i}(value); + }`;n&&(_+=` + fn getBiasByOutputCoords(coords : vec4) -> ${s?`vec4<${i}>`:i} { + return bias[coords.${u?"w":"y"}${s?"/ 4":""}]; + }`);let p=s?4:1,y=Q("W",e[1].dataType,e[1].dims.length,p),v=Q("Dy",e[0].dataType,e[0].dims.length,p),S=[v,y];n&&S.push(Q("bias",e[2].dataType,[r[h]].length,p));let x=_e("result",e[0].dataType,r.length,p),C=`{ + let batch: u32 = ${a?"global_id.z":"workgroup_id.z"} / uniforms.result_shape[1]; + let r = ${a?"global_id.z":"workgroup_id.z"} % uniforms.result_shape[1]; + let c = ${a?"global_id.y":"workgroup_id.y"} * ${m}; + let d1: u32 = ${a?"global_id.x":"workgroup_id.x"} * 4; + + let dyCorner = vec2(i32(r), i32(c)) - vec2(uniforms.pads); + + // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1). + // ? = to be determined. : = across all values in that axis. + var dotProd: array, ${m}>; + for (var i = 0; i < ${m}; i++) { + dotProd[i] = vec4<${i}>(0.0); + } + for (var wR: u32 = 0; wR < uniforms.filter_dims[0]; wR = wR + 1) { + var dyR = (${i}(dyCorner.x) + ${i}(wR)) / ${i}(uniforms.strides.x); + let wRPerm = uniforms.filter_dims[0] - 1 - wR; + if (dyR < 0.0 || dyR >= ${i}(uniforms.Dy_shape[1]) || + fract(dyR) > 0.0 || wRPerm < 0) { + continue; + } + let idyR: u32 = u32(dyR); + + for (var wC: u32 = 0; wC < uniforms.filter_dims[1]; wC = wC + 1) { + let dyC = (${i}(dyCorner.y) + ${i}(wC)) / ${i}(uniforms.strides.y); + let dyC2 = (${i}(dyCorner.y) + 1.0 + ${i}(wC)) / ${i}(uniforms.strides.y); + let wCPerm = uniforms.filter_dims[1] - 1 - wC; + if (wCPerm < 0) { + continue; + } + var bDyCVal = true; + var bDyCVal2 = true; + if (dyC < 0.0 || dyC >= ${i}(uniforms.Dy_shape[2]) || + fract(dyC) > 0.0) { + bDyCVal = false; + } + if (dyC2 < 0.0 || dyC2 >= ${i}(uniforms.Dy_shape[2]) || + fract(dyC2) > 0.0) { + bDyCVal2 = false; + } + + let idyC: u32 = u32(dyC); + let idyC2: u32 = u32(dyC2); + if (bDyCVal && bDyCVal2) { + let d2Length = uniforms.Dy_shape[3]; + for (var d2 :u32 = 0; d2 < d2Length; d2 = d2 + 4) { + let wValue0 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1","d2")}; + let wValue1 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1 + 1","d2")}; + let wValue2 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1 + 2","d2")}; + let wValue3 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1 + 3","d2")}; + + var xValue = ${v.get("batch","idyR","idyC","d2")}; + let tmpval = vec4<${i}>(dot(xValue, wValue0), + dot(xValue, wValue1), + dot(xValue, wValue2), + dot(xValue, wValue3)); + dotProd[0] = dotProd[0] + tmpval; + + xValue = ${v.get("batch","idyR","idyC2","d2")}; + + dotProd[1] = dotProd[1] + vec4<${i}>(dot(xValue, wValue0), + dot(xValue, wValue1), + dot(xValue, wValue2), + dot(xValue, wValue3)); + } + } else if (bDyCVal) { + let d2Length = uniforms.Dy_shape[${h}]; + for (var d2: u32 = 0; d2 < d2Length; d2 = d2 + 4) { + let wValue0 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1","d2")}; + let wValue1 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1 + 1","d2")}; + let wValue2 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1 + 2","d2")}; + let wValue3 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1 + 3","d2")}; + + var xValue = ${v.get("batch","idyR","idyC","d2")}; + let tmpval = vec4<${i}>(dot(xValue, wValue0), + dot(xValue, wValue1), + dot(xValue, wValue2), + dot(xValue, wValue3)); + dotProd[0] = dotProd[0] + tmpval; + } + } else if (bDyCVal2) { + let d2Length = uniforms.Dy_shape[3]; + for (var d2: u32 = 0; d2 < d2Length; d2 = d2 + 4) { + let wValue0 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1","d2")}; + let wValue1 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1 + 1","d2")}; + let wValue2 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1 + 2","d2")}; + let wValue3 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1 + 3","d2")}; + + var xValue = ${v.get("batch","idyR","idyC2","d2")}; + let tmpval = vec4<${i}>(dot(xValue, wValue0), + dot(xValue, wValue1), + dot(xValue, wValue2), + dot(xValue, wValue3)); + dotProd[1] = dotProd[1] + tmpval; + } + } + } + } + + for (var i: u32 = 0; i < ${m}; i = i + 1) { + let value = dotProd[i] + ${n?"bias[c+i]":`vec4<${i}>(0.0)`}; + ${x.set("batch","r","c + i","d1","value")}; + } + }`,T=` + let outputIndices = ${x.offsetToIndices("global_idx")}; + let batch = ${x.indicesGet("outputIndices",0)}; + let d1 = ${x.indicesGet("outputIndices",h)}; + let r = ${x.indicesGet("outputIndices",l)}; + let c = ${x.indicesGet("outputIndices",c)}; + let dyCorner = vec2(i32(r), i32(c)) - uniforms.pads; + let dyRCorner = dyCorner.x; + let dyCCorner = dyCorner.y; + let groupId = d1 / uniforms.output_channels_per_group; + let wOutChannel = d1 - groupId * uniforms.output_channels_per_group; + // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1). + // ? = to be determined. : = across all values in that axis. + var dotProd = ${i}(0.0); + for (var wR: u32 = 0; wR < uniforms.effective_filter_dims.x; wR = wR + 1) { + if (wR % uniforms.dilations.x != 0) { + continue; + } + let dyR = (${i}(dyRCorner) + ${i}(wR)) / ${i}(uniforms.strides[0]); + let wRPerm = uniforms.filter_dims.x - 1 - wR / uniforms.dilations.x; + if (dyR < 0.0 || dyR >= ${i}(uniforms.Dy_shape[${l}]) || fract(dyR) > 0.0 || + wRPerm < 0) { + continue; + } + let idyR: u32 = u32(dyR); + + for (var wC: u32 = 0; wC < uniforms.effective_filter_dims.y; wC = wC + 1) { + if (wC % uniforms.dilations.y != 0) { + continue; + } + let dyC = (${i}(dyCCorner) + ${i}(wC)) / ${i}(uniforms.strides.y); + let wCPerm = uniforms.filter_dims.y - 1 - wC / uniforms.dilations.y; + if (dyC < 0.0 || dyC >= ${i}(uniforms.Dy_shape[${c}]) || + fract(dyC) > 0.0 || wCPerm < 0) { + continue; + } + let idyC: u32 = u32(dyC); + var inputChannel = groupId * uniforms.input_channels_per_group; + for (var d2: u32 = 0; d2 < uniforms.input_channels_per_group; d2 = d2 + 1) { + let xValue = ${u?v.get("batch","idyR","idyC","inputChannel"):v.get("batch","inputChannel","idyR","idyC")}; + let wValue = ${y.get("inputChannel","wOutChannel","u32(wRPerm)","u32(wCPerm)")}; + dotProd = dotProd + xValue * wValue; + inputChannel = inputChannel + 1; + } + } + } + let value = dotProd + ${n?"bias[d1]":`${i}(0.0)`}; + ${x.setByOffset("global_idx","value")}; + `;return` + ${t.registerUniforms(o).declareVariables(...S,x)} + ${_} + + ${t.mainStart()} + ${t.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}; + ${s?C:T}}`},po=(t,e,r)=>{let n=t.length>2,a=e.outputShape,s=X.size(a),i=[Math.ceil(s/64),1,1];tt("verbose",()=>`[conv2d_backprop_webgpu] dispatch = ${i}`);let o=e.format==="NHWC",u=["rank","rank"],l=[e.strides[0],e.strides[1]],c=[e.kernelShape[o?1:2],e.kernelShape[o?2:3]],h=[e.dilations[0],e.dilations[1]],m=[c[0]+(e.dilations[0]<=1?0:(e.kernelShape[o?1:2]-1)*(e.dilations[0]-1)),c[1]+(e.dilations[1]<=1?0:(e.kernelShape[o?2:3]-1)*(e.dilations[1]-1))],_=[m[0]-1-Math.floor((e.pads[0]+e.pads[2])/2),m[1]-1-Math.floor(e.pads[1]+e.pads[3])/2],p=!1,y=e.group,v=t[1].dims,S=v[0]/y,x=v[1],C=[{type:12,data:s},{type:12,data:l},{type:12,data:c},{type:12,data:h},{type:12,data:m},{type:6,data:_},{type:12,data:S},{type:12,data:x},...ye(t[0].dims,t[1].dims)];n&&(C.push(...ye(t[2].dims)),u.push("rank")),C.push(...ye(a));let T=i[1]===1&&i[2]===1,I=R=>{let P=[{name:"output_size",type:"u32"},{name:"strides",type:"u32",length:l.length},{name:"filter_dims",type:"u32",length:c.length},{name:"dilations",type:"u32",length:c.length},{name:"effective_filter_dims",type:"u32",length:m.length},{name:"pads",type:"i32",length:_.length},{name:"input_channels_per_group",type:"u32"},{name:"output_channels_per_group",type:"u32"}],G=ft(t[0].dataType);return`${np(R,t,a,n,T,p,G,P,o)}`};return{name:"ConvTranspose2D",shaderCache:{hint:`${e.cacheKey};`,inputDependencies:u},getRunData:()=>({dispatchGroup:{x:i[0],y:i[1],z:i[2]},outputs:[{dims:r?r(a):a,dataType:t[0].dataType}],programUniforms:C}),getShaderSource:I}}}),ap,ip,sp,ho,op,up,lp,dp,cp,pp,nw=ee(()=>{tw(),rw(),Yr(),Qn(),ap=(t,e,r,n,a,s)=>(t-1)*e+r+(n-1)*a+1-s,ip=(t,e,r,n,a)=>{let s=Math.floor(t/2);e==="SAME_UPPER"?(r[n]=s,r[a]=t-s):e==="SAME_LOWER"&&(r[n]=t-s,r[a]=s)},sp=(t,e,r,n,a,s,i,o,u,l)=>{let c=t.length-2,h=l.length===0;if(u.length===0)for(let p=0;p{let r=t.kernelShape.slice();if(t.kernelShape.length===0||t.kernelShape.reduce((h,m)=>h*m,1)===0){r.length=0;for(let h=2;hh+m,0)===0){let h=e[0].dims.length-2;u=new Array(h).fill(1)}let l=t.strides.slice();if(l.reduce((h,m)=>h+m,0)===0){let h=e[0].dims.length-2;l=new Array(h).fill(1)}sp(o,r,u,t.autoPad,t.group,a,l,n,i,s);let c=Object.assign({},t);return Object.assign(c,{kernelShape:r,pads:a,outputPadding:i,outputShape:s,dilations:u,strides:l}),c},op=t=>{let e=eo(t),r=t.format,n=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][typeof t.autoPad>"u"?0:t.autoPad],a=t.dilations,s=t.group,i=t.kernelShape,o=t.pads,u=t.strides,l=t.wIsConst(),c=t.outputPadding,h=t.outputShape;return{autoPad:n,format:r,dilations:a,group:s,kernelShape:i,outputPadding:c,outputShape:h,pads:o,strides:u,wIsConst:l,...e,cacheKey:`${t.format};${e.activation};`}},up=(t,e)=>{if(!t||t.length!==2&&t.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(t[0].dims.length!==4&&t[0].dims.length!==3)throw new Error("currently only support 2-dimensional conv");if(t[0].dims.length!==t[1].dims.length)throw new Error("filter does not have same dimension as input");let r=t[0].dims[e.format==="NHWC"?t[0].dims.length-1:1],n=t[1].dims[0];if(r!==n)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");let a=t[1].dims[1]*e.group;if(t.length===3&&(t[2].dims.length!==1||t[2].dims[0]!==a))throw new Error("invalid bias");let s=t[0].dims.length-2;if(e.dilations.reduce((i,o)=>i+o,0)>0&&e.dilations.length!==s)throw new Error(`dilations should be ${s}D`);if(e.strides.reduce((i,o)=>i+o,0)>0&&e.strides.length!==s)throw new Error(`strides should be ${s}D`);if(e.pads.reduce((i,o)=>i+o,0)>0&&e.pads.length!==s*2)throw new Error(`pads should be ${s*2}D`);if(e.outputPadding.length!==s&&e.outputPadding.length!==0)throw new Error(`output_padding should be ${s}D`);if(e.kernelShape.reduce((i,o)=>i+o,0)>0&&e.kernelShape.length!==0&&e.kernelShape.length!==t[1].dims.length-2)throw new Error("invalid kernel shape");if(e.outputShape.length!==0&&e.outputShape.length!==t[0].dims.length-2)throw new Error("invalid output shape")},lp=[2,3,1,0],dp=(t,e,r)=>{let n=ho(r,e),a=r.format==="NHWC",s=n.outputShape,i=s[a?3:1],o=e[0].dims[a?3:1];if(n.group!==1||i===1&&o===1){t.compute(po(e,n));return}let u=s[a?1:2],l=s[a?2:3],c=e[1].dims[2],h=e[1].dims[3],m=a?u*l:i,_=a?i:u*l,p=c*h*o,y=!0,v=t.kernelCustomData.wT??t.compute(br(e[1],lp),{inputs:[1],outputs:[r.wIsConst?-2:-1]})[0];r.wIsConst&&!t.kernelCustomData.wT&&(t.kernelCustomData.wT=v);let S=[e[0],v],x=e.length===3;x&&(!a&&e[2].dims.length===1?S.push(e[2].reshape([e[2].dims[0],1,1])):S.push(e[2])),t.compute(rp(S,n,s,m,_,p,x,y),{inputs:S})},cp=(t,e)=>{let r=e.format==="NHWC",n=[t.inputs[0].reshape(r?[t.inputs[0].dims[0],1,t.inputs[0].dims[1],t.inputs[0].dims[2]]:[t.inputs[0].dims[0],t.inputs[0].dims[1],1,t.inputs[0].dims[2]]),t.inputs[1].reshape([t.inputs[1].dims[0],t.inputs[1].dims[1],1,t.inputs[1].dims[2]])];t.inputs.length===3&&n.push(t.inputs[2]);let a=e.kernelShape;(a.length===0||a[0]===0)&&(a=[t.inputs[1].dims[2]]);let s=e.dilations;(s.length===0||s[0]===0)&&(s=[1]);let i=e.strides;(i.length===0||i[0]===0)&&(i=[1]);let o=e.pads;o.length===0&&(o=[0,0]),o=[0,o[0],0,o[1]],i=[1].concat(i),s=[1].concat(s),a=[1].concat(a);let u=ho({...e,pads:o,strides:i,dilations:s,kernelShape:a},n);t.compute(po(n,u,l=>r?[l[0],l[2],l[3]]:[l[0],l[1],l[3]]))},pp=(t,e)=>{up(t.inputs,e),t.inputs[0].dims.length===3?cp(t,e):dp(t,t.inputs,e)}}),hp,fp,mp,aw=ee(()=>{xe(),Oe(),dt(),Ae(),hp=(t,e,r,n)=>{let a=X.size(e),s=e.length,i=Q("input",t,s),o=_e("output",t,s),u=r.dataType===6?r.getInt32Array()[0]:Number(r.getBigInt64Array()[0]),l=X.normalizeAxis(u,s),c=h=>{let m=` i32(${i.indicesGet("inputIndices","uniforms.axis")}) `,_=ke("uniforms.input_shape","uniforms.axis",s),p=n.reverse?m+(n.exclusive?" + 1":""):"0",y=n.reverse?_:m+(n.exclusive?"":" + 1");return` + ${h.registerUniform("outputSize","u32").registerUniform("axis","u32").declareVariables(i,o)} + ${h.mainStart()} + ${h.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + var inputIndices = ${o.offsetToIndices("global_idx")}; + var sum = ${o.type.value}(0); + let first : i32 = ${p}; + let last : i32 = ${y}; + for (var i : i32 = first; i < last; i++) { + ${i.indicesSet("inputIndices","uniforms.axis","u32(i)")}; + sum = sum + ${i.getByIndices("inputIndices")}; + } + ${o.setByOffset("global_idx","sum")}; + }`};return{name:"CumSum",shaderCache:{hint:n.cacheKey,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:e,dataType:t}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:[{type:12,data:a},{type:12,data:l},...ye(e,e)]}),getShaderSource:c}},fp=(t,e)=>{let r=t.inputs[0].dims,n=t.inputs[0].dataType,a=t.inputs[1];t.compute(hp(n,r,a,e),{inputs:[0]})},mp=t=>{let e=t.exclusive===1,r=t.reverse===1;return Ke({exclusive:e,reverse:r})}}),gp,_p,wp,yp,bp,iw=ee(()=>{xe(),Oe(),dt(),Ae(),gp=t=>{if(!t||t.length!==1)throw new Error("DepthToSpace requires 1 input.");if(t[0].dims.length!==4)throw new Error("DepthToSpace requires 4D input.")},_p=(t,e,r,n)=>{let a=[];a.push(`fn perm(i: ${n.type.indices}) -> ${r.type.indices} { + var a: ${r.type.indices};`);for(let s=0;s{let r,n,a,s,i,o,u=e.format==="NHWC",l=e.blocksize,c=e.mode==="DCR";u?([r,n,a,s]=t.dims,i=c?[r,n,a,l,l,s/l**2]:[r,n,a,s/l**2,l,l],o=c?[0,1,3,2,4,5]:[0,1,4,2,5,3]):([r,n,a,s]=[t.dims[0],t.dims[2],t.dims[3],t.dims[1]],i=c?[r,l,l,s/l**2,n,a]:[r,s/l**2,l,l,n,a],o=c?[0,3,4,1,5,2]:[0,1,4,2,5,3]);let h=t.reshape(i),m=h.dims.length,_=t.dataType,p=Q("a",_,m),y=_e("output",_,m),v=S=>` + ${S.registerUniform("output_size","u32").declareVariables(p,y)} + + ${_p(o,m,p,y)} + + ${S.mainStart()} + ${S.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + + let indices = ${y.offsetToIndices("global_idx")}; + let aIndices = perm(indices); + + ${y.setByOffset("global_idx",p.getByIndices("aIndices"))} + }`;return{name:"DepthToSpace",shaderCache:{hint:`${t.dims};${e.blocksize};${e.mode}`,inputDependencies:["rank"]},getRunData:S=>{let x=u?[r,n*l,a*l,s/l**2]:[r,s/l**2,n*l,a*l],C=X.size(x),T=h.dims,I=X.sortBasedOnPerm(T,o);return{outputs:[{dims:x,dataType:S[0].dataType}],dispatchGroup:{x:Math.ceil(C/64)},programUniforms:[{type:12,data:C},...ye(T,I)]}},getShaderSource:v}},yp=(t,e)=>{gp(t.inputs),t.compute(wp(t.inputs[0],e))},bp=t=>Ke({blocksize:t.blocksize,mode:t.mode,format:t.format})}),yi,Jn,fo,vp,$p,xp,Sp,mo,kp,Ep,Cp,sw=ee(()=>{xe(),Oe(),dt(),Ae(),yi="[a-zA-Z]|\\.\\.\\.",Jn="("+yi+")+",fo="^"+Jn+"$",vp="("+Jn+",)*"+Jn,$p="^"+vp+"$",xp=class{constructor(t=-1){this.symbolToIndices=new Map,this.inputIndex=t}addSymbol(t,e){let r=this.symbolToIndices.get(t);r===void 0?r=[e]:r.push(e),this.symbolToIndices.set(t,r)}},Sp=class{constructor(t,e){var a;this.equation=e,this.hasEllipsis=!1,this.symbolToInfo=new Map,this.lhs=new Array,this.outputDims=[];let[r,n]=e.includes("->")?e.split("->",2):[e,""];if(!r.match(RegExp($p)))throw new Error("Invalid LHS term");if(r.split(",").forEach((s,i)=>{let o=t[i].dims.slice();if(!s.match(RegExp(fo)))throw new Error("Invalid LHS term");let u=this.processTerm(s,!0,o,i);this.lhs.push(u)}),n==="")n+=[...this.symbolToInfo.entries()].filter(([s,i])=>i.count===1||s==="...").map(([s])=>s).join("");else if(!n.match(RegExp(Jn)))throw new Error("Invalid RHS");(a=n.match(RegExp(yi,"g")))==null||a.forEach(s=>{if(s==="...")this.outputDims=this.outputDims.concat(this.ellipsisDims);else{let i=this.symbolToInfo.get(s);if(i===void 0)throw new Error("Invalid RHS symbol");this.outputDims.push(i.dimValue)}}),this.rhs=this.processTerm(n,!1,this.outputDims)}addSymbol(t,e,r){let n=this.symbolToInfo.get(t);if(n!==void 0){if(n.dimValue!==e&&n.count!==1)throw new Error("Dimension mismatch");n.count++,n.inputIndices.push(r)}else n={count:1,dimValue:e,inputIndices:[r]};this.symbolToInfo.set(t,n)}processTerm(t,e,r,n=-1){let a=r.length,s=!1,i=[],o=0;if(!t.match(RegExp(fo))&&!e&&t!=="")throw new Error("Invalid LHS term");let u=t.match(RegExp(yi,"g")),l=new xp(n);return u==null||u.forEach((c,h)=>{if(c==="..."){if(s)throw new Error("Only one ellipsis is allowed per input term");s=!0;let m=a-u.length+1;if(m<0)throw new Error("Ellipsis out of bounds");if(i=r.slice(o,o+m),this.hasEllipsis){if(this.ellipsisDims.length!==i.length||this.ellipsisDims.toString()!==i.toString())throw new Error("Ellipsis dimensions mismatch")}else if(e)this.hasEllipsis=!0,this.ellipsisDims=i;else throw new Error("Ellipsis must be specified in the LHS");for(let _=0;_t+"_max",kp=(t,e,r,n)=>{let a=t.map(l=>l.length).map((l,c)=>Q(`input${c}`,e,l)),s=X.size(n),i=_e("output",e,n.length),o=[...r.symbolToInfo.keys()].filter(l=>!r.rhs.symbolToIndices.has(l)),u=l=>{let c=[],h="var prod = 1.0;",m="var sum = 0.0;",_="sum += prod;",p=[],y=[],v=[],S=[],x=r.symbolToInfo.size===r.rhs.symbolToIndices.size;r.symbolToInfo.forEach((T,I)=>{var R;if(r.rhs.symbolToIndices.has(I)){let P=(R=r.rhs.symbolToIndices.get(I))==null?void 0:R[0];P!==void 0&&r.lhs.forEach((G,j)=>{if(T.inputIndices.includes(j)){let K=G.symbolToIndices.get(I);if(K===void 0)throw new Error("Invalid symbol error");K.forEach(he=>{c.push(`${a[j].indicesSet(`input${j}Indices`,he,i.indicesGet("outputIndices",P))}`)})}})}else r.lhs.forEach((P,G)=>{if(T.inputIndices.includes(G)){let j=P.symbolToIndices.get(I);if(j===void 0)throw new Error("Invalid symbol error");j.forEach(K=>{p.push(`${a[G].indicesSet(`input${G}Indices`,K,`${I}`)}`)}),S.push(`prod *= ${a[G].getByIndices(`input${G}Indices`)};`)}}),y.push(`for(var ${I}: u32 = 0; ${I} < uniforms.${mo(I)}; ${I}++) {`),v.push("}")});let C=x?[...c,`let sum = ${a.map((T,I)=>T.getByIndices(`input${I}Indices`)).join(" * ")};`]:[...c,m,...y,...p,h,...S,_,...v];return` + ${l.registerUniforms(o.map(T=>({name:`${mo(T)}`,type:"u32"}))).registerUniform("outputSize","u32").declareVariables(...a,i)} + + ${l.mainStart()} + ${l.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + var outputIndices = ${i.offsetToIndices("global_idx")}; + ${a.map((T,I)=>`var input${I}Indices: ${a[I].type.indices};`).join(` +`)} + ${C.join(` +`)}; + ${i.setByOffset("global_idx","sum")}; + }`};return{name:"Einsum",shaderCache:{hint:r.equation,inputDependencies:t.map(()=>"rank")},getRunData:()=>{let l=o.filter(h=>r.symbolToInfo.has(h)).map(h=>{var m;return{type:12,data:((m=r.symbolToInfo.get(h))==null?void 0:m.dimValue)||0}});l.push({type:12,data:s});let c=t.map((h,m)=>[...ye(h)]).reduce((h,m)=>h.concat(m),l);return c.push(...ye(n)),{outputs:[{dims:n,dataType:e}],dispatchGroup:{x:Math.ceil(s/64)},programUniforms:c}},getShaderSource:u}},Ep=(t,e)=>{let r=new Sp(t.inputs,e.equation),n=r.outputDims,a=t.inputs.map((s,i)=>s.dims);t.compute(kp(a,t.inputs[0].dataType,r,n))},Cp=t=>{let e=t.equation.replace(/\s+/g,"");return Ke({equation:e})}}),Tp,go,Ip,Ap,Mp,ow=ee(()=>{xe(),Oe(),Ae(),Tp=t=>{if(!t||t.length!==2)throw new Error("Expand requires 2 input.");let e=t[0].dims,r=Array.from(t[1].getBigInt64Array(),Number),n=r.length{let r=t.length-e.length,n=[];for(let a=0;at.length>e.length?go(t,e):go(e,t),Ap=t=>{let e=t[0].dims,r=Array.from(t[1].getBigInt64Array(),Number),n=Ip(e,r),a=t[0].dataType,s=a===9?4:1,i=Math.ceil(X.size(n)/s),o=l=>{let c=Q("input",a,e.length,s),h=_e("output",a,n.length,s),m;if(a===9){let _=(p,y,v="")=>` + let outputIndices${y} = ${h.offsetToIndices(`outputOffset + ${y}u`)}; + let offset${y} = ${c.broadcastedIndicesToOffset(`outputIndices${y}`,h)}; + let index${y} = offset${y} / 4u; + let component${y} = offset${y} % 4u; + ${p}[${y}] = ${v}(${c.getByOffset(`index${y}`)}[component${y}]); + `;m=` + let outputOffset = global_idx * ${s}; + var data = vec4(0); + ${_("data",0,"u32")} + ${_("data",1,"u32")} + ${_("data",2,"u32")} + ${_("data",3,"u32")} + ${h.setByOffset("global_idx","data")} + }`}else m=` + let outputIndices = ${h.offsetToIndices("global_idx")}; + let inputOffset = ${c.broadcastedIndicesToOffset("outputIndices",h)}; + ${h.setByOffset("global_idx",c.getByOffset("inputOffset"))} + }`;return` + ${l.registerUniform("vec_size","u32").declareVariables(c,h)} + ${l.mainStart()} + ${l.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")} + ${m}`},u=[{type:12,data:i},...ye(e,n)];return{name:"Expand",shaderCache:{hint:`${n.length}`,inputDependencies:["rank"]},getShaderSource:o,getRunData:()=>({outputs:[{dims:n,dataType:t[0].dataType}],dispatchGroup:{x:Math.ceil(i/64)},programUniforms:u})}},Mp=t=>{Tp(t.inputs),t.compute(Ap(t.inputs),{inputs:[0]})}}),Op,zp,uw=ee(()=>{xe(),Oe(),Ae(),Zs(),Op=t=>{let e=t[0].dataType,r=X.size(t[0].dims),n=X.size(t[1].dims),a=n%4===0,s=i=>{let o=Q("x",e,[1],4),u=Q("bias",e,[1],4),l=_e("y",e,[1],4),c=[{name:"output_vec_size",type:"u32"},{name:"bias_size",type:"u32"}],h=_=>` + let bias${_}_offset: u32 = (global_idx * 4 + ${_}) % uniforms.bias_size; + let bias${_} = ${u.getByOffset(`bias${_}_offset / 4`)}[bias${_}_offset % 4];`,m=a?` + let bias = ${u.getByOffset("global_idx % (uniforms.bias_size / 4)")};`:`${h(0)}${h(1)}${h(2)}${h(3)} + let bias = ${o.type.value}(bias0, bias1, bias2, bias3);`;return`${i.registerUniforms(c).declareVariables(o,u,l)} + + ${Qs(Et(e))} + + ${i.mainStart(gn)} + ${i.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_vec_size")} + + let x = ${o.getByOffset("global_idx")}; + ${m} + let x_in = x + bias; + ${l.setByOffset("global_idx",Js("x_in"))} + }`};return{name:"FastGeluWithBias",shaderCache:{hint:`${a}`,inputDependencies:["type","type"]},getShaderSource:s,getRunData:i=>({outputs:[{dims:i[0].dims,dataType:i[0].dataType}],programUniforms:[{type:12,data:Math.ceil(r/4)},{type:12,data:n}],dispatchGroup:{x:Math.ceil(r/gn/4)}})}},zp=t=>{t.inputs.length<2||X.size(t.inputs[1].dims)===0?$c(t):t.compute(Op(t.inputs))}}),Rp,Pp,Bp,Dp,lw=ee(()=>{xe(),Oe(),dt(),Ae(),Rp=t=>{if(!t||t.length!==2)throw new Error("Gather requires 2 inputs.")},Pp=(t,e)=>{let r=t[0].dims,n=t[1].dims,a=r.length,s=X.normalizeAxis(e.axis,a),i=r.slice(0);i.splice(s,1,...n);let o=r[s],u=t[0].dataType===9?4:1,l=Math.ceil(X.size(i)/u),c=[{type:12,data:l},{type:6,data:o},{type:12,data:s},...ye(t[0].dims,t[1].dims,i)],h=m=>{let _=Q("data",t[0].dataType,t[0].dims.length,u),p=Q("inputIndices",t[1].dataType,t[1].dims.length),y=_e("output",t[0].dataType,i.length,u),v=x=>{let C=n.length,T=`var indicesIndices${x} = ${p.type.indices}(0);`;for(let I=0;I1?`indicesIndices${x}[${I}]`:`indicesIndices${x}`} = ${i.length>1?`outputIndices${x}[uniforms.axis + ${I}]`:`outputIndices${x}`};`;T+=` + var idx${x} = ${p.getByIndices(`indicesIndices${x}`)}; + if (idx${x} < 0) { + idx${x} = idx${x} + uniforms.axisDimLimit; + } + var dataIndices${x} : ${_.type.indices}; + `;for(let I=0,R=0;I1?`dataIndices${x}[${I}]`:`dataIndices${x}`} = u32(idx${x});`,R+=C):(T+=`${a>1?`dataIndices${x}[${I}]`:`dataIndices${x}`} = ${i.length>1?`outputIndices${x}[${R}]`:`outputIndices${x}`};`,R++);return T},S;if(t[0].dataType===9){let x=(C,T,I="")=>` + let outputIndices${T} = ${y.offsetToIndices(`outputOffset + ${T}u`)}; + ${v(T)}; + let offset${T} = ${_.indicesToOffset(`dataIndices${T}`)}; + let index${T} = offset${T} / 4u; + let component${T} = offset${T} % 4u; + ${C}[${T}] = ${I}(${_.getByOffset(`index${T}`)}[component${T}]); + `;S=` + let outputOffset = global_idx * ${u}; + var value = vec4(0); + ${x("value",0,"u32")} + ${x("value",1,"u32")} + ${x("value",2,"u32")} + ${x("value",3,"u32")} + ${y.setByOffset("global_idx","value")} + `}else S=` + let outputIndices = ${y.offsetToIndices("global_idx")}; + ${v("")}; + let value = ${_.getByIndices("dataIndices")}; + ${y.setByOffset("global_idx","value")}; + `;return` + ${m.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(_,p,y)} + ${m.mainStart()} + ${m.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + ${S} + }`};return{name:"Gather",shaderCache:{hint:e.cacheKey,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:i,dataType:t[0].dataType}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:c}),getShaderSource:h}},Bp=t=>Ke({axis:t.axis}),Dp=(t,e)=>{let r=t.inputs;Rp(r),t.compute(Pp(t.inputs,e))}}),Np,Fp,Lp,Up,dw=ee(()=>{xe(),Oe(),dt(),Ae(),Np=t=>{if(!t||t.length!==2)throw new Error("GatherElements requires 2 inputs.");if(t[0].dims.length<1)throw new Error("GatherElements requires that the data input be rank >= 1.");if(t[0].dims.length!==t[1].dims.length)throw new Error(`GatherElements requires that the data input and + indices input tensors be of same rank.`)},Fp=(t,e)=>{let r=t[0].dims,n=t[0].dataType,a=r.length,s=t[1].dims,i=t[1].dataType,o=X.normalizeAxis(e.axis,a),u=r[o],l=s.slice(0),c=X.size(l),h=Q("input",n,a),m=Q("indicesInput",i,s.length),_=_e("output",n,l.length),p=[{type:12,data:c},{type:6,data:u},{type:12,data:o}];return p.push(...ye(r,s,l)),{name:"GatherElements",shaderCache:{inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:l,dataType:t[0].dataType}],dispatchGroup:{x:Math.ceil(c/64)},programUniforms:p}),getShaderSource:y=>` + ${y.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(h,m,_)} + ${y.mainStart()} + ${y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + + let outputIndices = ${_.offsetToIndices("global_idx")}; + + var idx = ${m.getByOffset("global_idx")}; + if (idx < 0) { + idx = idx + uniforms.axisDimLimit; + } + var inputIndices = ${h.type.indices}(outputIndices); + ${h.indicesSet("inputIndices","uniforms.axis","u32(idx)")}; + let value = ${h.getByIndices("inputIndices")}; + + ${_.setByOffset("global_idx","value")}; + }`}},Lp=t=>Ke({axis:t.axis}),Up=(t,e)=>{let r=t.inputs;Np(r),t.compute(Fp(t.inputs,e))}}),Wp,Vp,Gp,Hp,cw=ee(()=>{xe(),Oe(),Ae(),Wp=t=>{if(!t)throw new Error("Input is missing");if(t.length<2||t.length>3)throw new Error("Invaid input number.");if(t.length===3&&t[2].dims.length>2)throw new Error("Invalid input shape of C");if(t[0].dataType!==t[1].dataType||t.length===3&&t[0].dataType!==t[2].dataType)throw new Error("Input types are mismatched")},Vp=(t,e)=>{let r=t[0].dims.slice(),n=t[1].dims.slice(),[a,s,i]=El.getShapeOfGemmResult(r,e.transA,n,e.transB,t.length===3?t[2].dims:void 0),o=[a,s];if(!o)throw new Error("Can't use gemm on the given tensors");let u=X.size(o),l=[{type:12,data:u},{type:12,data:a},{type:12,data:s},{type:12,data:i},{type:1,data:e.alpha},{type:1,data:e.beta}],c=["type","type"];t.length===3&&(l.push(...ye(t[2].dims)),c.push("rank")),l.push(...ye(o));let h=m=>{let _="";e.transA&&e.transB?_="value += a[k * uniforms.M + m] * b[n * uniforms.K + k];":e.transA&&!e.transB?_="value += a[k * uniforms.M + m] * b[k * uniforms.N + n];":!e.transA&&e.transB?_="value += a[m * uniforms.K + k] * b[n * uniforms.K + k];":!e.transA&&!e.transB&&(_="value += a[m * uniforms.K + k] * b[k * uniforms.N + n];");let p=e.alpha===1?"":"value *= uniforms.alpha;",y=Q("a",t[0].dataType,t[0].dims),v=Q("b",t[1].dataType,t[1].dims),S=y.type.value,x=null,C=[y,v];t.length===3&&(x=Q("c",t[2].dataType,t[2].dims.length),C.push(x));let T=_e("output",t[0].dataType,o.length);C.push(T);let I=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"},{name:"alpha",type:"f32"},{name:"beta",type:"f32"}];return` + ${m.registerUniforms(I).declareVariables(...C)} + + ${m.mainStart()} + ${m.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + + let m = global_idx / uniforms.N; + let n = global_idx % uniforms.N; + + var value = ${S}(0); + for (var k: u32 = 0u; k < uniforms.K; k++) { + ${_} + } + + ${p} + ${x!=null?`let cOffset = ${x.broadcastedIndicesToOffset("vec2(m, n)",T)}; value += ${S}(uniforms.beta) * ${x.getByOffset("cOffset")};`:""} + output[global_idx] = value; + }`};return{name:"Gemm",shaderCache:{hint:`${e.cacheKey}`,inputDependencies:c},getRunData:()=>({outputs:[{dims:o,dataType:t[0].dataType}],dispatchGroup:{x:Math.ceil(u/64)},programUniforms:l}),getShaderSource:h}},Gp=t=>{let e=t.transA,r=t.transB,n=t.alpha,a=t.beta;return{transA:e,transB:r,alpha:n,beta:a,cacheKey:`${t.transA};${t.transB};${t.alpha===1}`}},Hp=(t,e)=>{Wp(t.inputs),t.compute(Vp(t.inputs,e))}}),jp,qp,Kp,Yp,pw=ee(()=>{xe(),Oe(),Ae(),jp=(t,e)=>{let r=t[0].dims,n=r,a=2,s=X.sizeToDimension(r,a),i=X.sizeFromDimension(r,a),o=at(i),u=i/o,l=[r[0],r[1],u],c=["rank","type","type"],h=[{type:12,data:i},{type:12,data:u}];h.push(...ye(l,l));let m=_=>{let p=Q("x",t[0].dataType,l.length,o),y=Q("scale",t[1].dataType,t[1].dims),v=Q("bias",t[2].dataType,t[2].dims),S=_e("output",t[0].dataType,l.length,o),x=[p,y,v,S],C=p.type.value,T=o===1?"f32":`vec${o}`,I=64,R=[{name:"normSize",type:"u32"},{name:"normPackedSize",type:"u32"}];return` + var meanShared : f32; + var squaredNormShared : f32; + var workgroupShared : array<${T}, ${I}>; + const workgroupSize = ${I}u; + ${_.registerUniforms(R).declareVariables(...x)} + ${_.mainStart(I)} + let norm = global_idx / workgroupSize; + let batch = norm / uniforms.x_shape[1]; + let channel = norm % uniforms.x_shape[1]; + let localIndex = local_id.x; + + // initialize workgroup memory + var initial = ${T}(0); + for (var h = localIndex; h < uniforms.normPackedSize; h += workgroupSize) { + initial = initial + ${T}(${p.get("batch","channel","h")}); + } + workgroupShared[localIndex] = initial; + workgroupBarrier(); + + // Calculate the mean of current channel data. + for (var currSize = workgroupSize >> 1; currSize > 0; currSize = currSize >> 1) { + if (localIndex < currSize) { + workgroupShared[localIndex] = workgroupShared[localIndex] + workgroupShared[localIndex + currSize]; + } + workgroupBarrier(); + } + if (localIndex == 0) { + meanShared = ${Or("workgroupShared[0]",o)} / f32(uniforms.normSize); + } + workgroupBarrier(); + + // reinitialize workgroup memory. + initial = ${T}(0); + for (var h = localIndex; h < uniforms.normPackedSize; h += workgroupSize) { + let deviation = ${T}(${p.get("batch","channel","h")}) - ${T}(meanShared); + initial = initial + deviation * deviation; + } + workgroupShared[localIndex] = initial; + workgroupBarrier(); + + // Calculate the sum of square of deviation of current channel data. + for (var currSize = workgroupSize >> 1; currSize > 0; currSize = currSize >> 1) { + if (localIndex < currSize) { + workgroupShared[localIndex] = workgroupShared[localIndex] + workgroupShared[localIndex + currSize]; + } + workgroupBarrier(); + } + if (localIndex == 0) { + squaredNormShared = ${Or("workgroupShared[0]",o)}; + } + workgroupBarrier(); + + let invStdDev = inverseSqrt(squaredNormShared / f32(uniforms.normSize) + f32(${e.epsilon})); + let channelScale = invStdDev * f32(${y.getByOffset("channel")}); + let channelShift = f32(${v.getByOffset("channel")}) - meanShared * channelScale; + for (var h = localIndex; h < uniforms.normPackedSize; h += workgroupSize) { + let value = ${p.get("batch","channel","h")} * ${C}(${T}(channelScale)) + ${C}(${T}(channelShift)); + ${S.set("batch","channel","h","value")}; + } + }`};return{name:"InstanceNormalization",shaderCache:{hint:`${e.epsilon};${o}`,inputDependencies:c},getRunData:()=>({outputs:[{dims:n,dataType:t[0].dataType}],dispatchGroup:{x:s},programUniforms:h}),getShaderSource:m}},qp=(t,e,r,n,a,s,i,o)=>{let u=at(i),l=64,c=u===1?"vec2f":`mat2x${u}f`,h=u===1?"f32":`vec${u}f`,m=(R,P)=>`${c}(${R}, ${P})`,_=a*i/u,p=Math.ceil(s/l),y=["type"],v=[{type:12,data:p},{type:12,data:s},{type:12,data:Math.floor(i/u)},{type:12,data:Math.floor(s*i/u)}],S=R=>{let P=Q("input",e.dataType,e.dims,u);return` + ${R.declareVariables(P)} + @group(0) @binding(1) var output : array<${c}>; + struct Uniforms {wg_size:u32, H:u32, C:u32, image_size:u32}; + @group(0) @binding(2) var uniforms: Uniforms; + + ${R.mainStart(l)} + let currentImageNumber = global_idx / ${l} / uniforms.C; + let currentChannelNumber = (global_idx / ${l}) % uniforms.C; + let wgOffset = local_id.x * uniforms.wg_size; + if (wgOffset >= uniforms.H) { + return; + } + let wgMax = min(wgOffset + uniforms.wg_size, uniforms.H); + + let offset = currentImageNumber * uniforms.image_size + currentChannelNumber; + var sum = ${yr("f32",u)}; + var squaredSum = ${yr("f32",u)}; + for (var i: u32 = wgOffset; i < wgMax; i++) { + let value = ${h}(input[offset + i * uniforms.C]); + sum += value; + squaredSum += value * value; + } + output[global_idx] = ${m("sum","squaredSum")}; + }`},x=t.compute({name:"InstanceNormComputeMean",shaderCache:{hint:`${u}`,inputDependencies:y},getRunData:()=>({outputs:[{dims:[a,i,l,2],dataType:1}],dispatchGroup:{x:a*i/u},programUniforms:v}),getShaderSource:S},{inputs:[e],outputs:[-1]})[0],C=[{type:12,data:_},{type:12,data:s},{type:12,data:Math.floor(i/u)},{type:12,data:Math.floor(l*i/u)}],T=["type","type","type"],I=R=>{let P=Q("scale",r.dataType,r.dims,u),G=Q("bias",n.dataType,n.dims,u);return` + @group(0) @binding(0) var input : array<${c}>; + @group(0) @binding(1) var scale : array<${P.type.storage}>; + @group(0) @binding(2) var bias : array<${G.type.storage}>; + @group(0) @binding(3) var output : array<${c}>; + struct Uniforms {units_of_work : u32, H: u32, C : u32, image_size : u32}; + @group(0) @binding(4) var uniforms: Uniforms; + + ${R.mainStart()} + ${R.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.units_of_work")} + let currentImageNumber = global_idx / uniforms.C; + let currentChannelNumber = global_idx % uniforms.C; + + let offset = currentImageNumber * uniforms.image_size; + var sum = ${yr("f32",u)}; + var squaredSum = ${yr("f32",u)}; + for (var i: u32 = 0; i < min(${l}, uniforms.H); i++) { + let value = input[offset + i + currentChannelNumber * ${l}]; + sum += value[0]; + squaredSum += value[1]; + } + sum = sum / f32(uniforms.H); + squaredSum = squaredSum / f32(uniforms.H); + let invStdDev = inverseSqrt(squaredSum - sum * sum + f32(${o})); + let channelScale = invStdDev * ${h}(scale[currentChannelNumber]); + let channelShift = ${h}(bias[currentChannelNumber]) - sum * channelScale; + + output[global_idx] = ${m("channelScale","channelShift")}; + }`};return t.compute({name:"InstanceNormComputeChannelScaleShift",shaderCache:{hint:`${u};${o}`,inputDependencies:T},getRunData:()=>({outputs:[{dims:[a,i,2],dataType:1}],dispatchGroup:{x:Math.ceil(_/64)},programUniforms:C}),getShaderSource:I},{inputs:[x,r,n],outputs:[-1]})[0]},Kp=(t,e,r)=>{let n=e[0].dims,a=n,s=n[0],i=n[n.length-1],o=X.sizeFromDimension(n,1)/i,u=at(i),l=X.size(a)/u,c=[{type:12,data:o},{type:12,data:Math.floor(i/u)}],h=["type","type"],m=qp(t,e[0],e[1],e[2],s,o,i,r.epsilon),_=p=>{let y=ft(e[0].dataType),v=u===1?"vec2f":`mat2x${u}f`,S=u===1?y:`vec${u}<${y}>`,x=Q("input",e[0].dataType,e[0].dims,u),C=_e("output",e[0].dataType,a,u);return` + @group(0) @binding(0) var input : array<${x.type.storage}>; + @group(0) @binding(1) var scaleInput : array<${v}>; + @group(0) @binding(2) var output : array<${C.type.storage}>; + struct Uniforms {H: u32, C : u32}; + @group(0) @binding(3) var uniforms: Uniforms; + + ${p.mainStart()} + let currentImageNumber = global_idx / (uniforms.C * uniforms.H); + let currentChannelNumber = global_idx % uniforms.C; + + let scaleOffset = currentImageNumber * uniforms.C + currentChannelNumber; + let scale = scaleInput[scaleOffset]; + output[global_idx] = fma(input[global_idx], ${S}(scale[0]), ${S}(scale[1])); + }`};t.compute({name:"InstanceNormalizationNHWC",shaderCache:{hint:`${u}`,inputDependencies:h},getRunData:()=>({outputs:[{dims:a,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:c}),getShaderSource:_},{inputs:[e[0],m]})},Yp=(t,e)=>{e.format==="NHWC"?Kp(t,t.inputs,e):t.compute(jp(t.inputs,e))}}),Xp,Qp,Jp,hw=ee(()=>{xe(),Oe(),Ae(),Xp=t=>{if(!t||t.length<2)throw new Error("layerNorm requires at least 2 inputs.")},Qp=(t,e,r)=>{let n=e.simplified,a=t[0].dims,s=t[1],i=!n&&t[2],o=a,u=X.normalizeAxis(e.axis,a.length),l=X.sizeToDimension(a,u),c=X.sizeFromDimension(a,u),h=X.size(s.dims),m=i?X.size(i.dims):0;if(h!==c||i&&m!==c)throw new Error(`Size of X.shape()[axis:] == ${c}. + Size of scale and bias (if provided) must match this. + Got scale size of ${h} and bias size of ${m}`);let _=[];for(let I=0;I1,x=r>2,C=I=>{let R=ft(t[0].dataType),P=[Q("x",t[0].dataType,t[0].dims,p),Q("scale",s.dataType,s.dims,p)];i&&P.push(Q("bias",i.dataType,i.dims,p)),P.push(_e("output",t[0].dataType,o,p)),S&&P.push(_e("mean_data_output",1,_)),x&&P.push(_e("inv_std_output",1,_));let G=[{name:"norm_count",type:"u32"},{name:"norm_size",type:"f32"},{name:"norm_size_vectorized",type:"u32"},{name:"epsilon",type:"f32"}];return` + ${I.registerUniforms(G).declareVariables(...P)} + ${I.mainStart()} + ${I.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.norm_count")} + let offset = global_idx * uniforms.norm_size_vectorized; + var mean_vector = ${yr("f32",p)}; + var mean_square_vector = ${yr("f32",p)}; + + for (var h: u32 = 0u; h < uniforms.norm_size_vectorized; h++) { + let value = ${_n(R,p,"x[h + offset]")}; + mean_vector += value; + mean_square_vector += value * value; + } + let mean = ${Or("mean_vector",p)} / uniforms.norm_size; + let inv_std_dev = inverseSqrt(${Or("mean_square_vector",p)} / uniforms.norm_size ${n?"":"- mean * mean"} + uniforms.epsilon); + + for (var j: u32 = 0; j < uniforms.norm_size_vectorized; j++) { + let f32input = ${_n(R,p,"x[j + offset]")}; + let f32scale = ${_n(R,p,"scale[j]")}; + output[j + offset] = ${P[0].type.value}((f32input ${n?"":"- mean"}) * inv_std_dev * f32scale + ${i?`+ ${_n(R,p,"bias[j]")}`:""} + ); + } + + ${S?"mean_data_output[global_idx] = mean":""}; + ${x?"inv_std_output[global_idx] = inv_std_dev":""}; + }`},T=[{dims:o,dataType:t[0].dataType}];return S&&T.push({dims:_,dataType:1}),x&&T.push({dims:_,dataType:1}),{name:"LayerNormalization",shaderCache:{hint:`${p};${r};${n}`,inputDependencies:y},getRunData:()=>({outputs:T,dispatchGroup:{x:Math.ceil(l/64)},programUniforms:v}),getShaderSource:C}},Jp=(t,e)=>{Xp(t.inputs),t.compute(Qp(t.inputs,e,t.outputCount))}}),Zp,eh,th,rh,fw=ee(()=>{xe(),Oe(),dt(),Ae(),Zp=(t,e)=>{if(t.length<3||t.length>4)throw new Error("MatMulNBits requires 3 or 4 inputs");let r=t[0],n=r.dims.length;if(r.dims[n-1]!==e.k)throw new Error("The last dim of input shape does not match the k value");let a=Math.floor((e.k+e.blockSize-1)/e.blockSize),s=e.blockSize/8*e.bits,i=t[1];if(!X.areEqual(i.dims,[e.n,a,s]))throw new Error("The second inputs must be 3D tensor with shape N X nBlocksPerCol X blobSize");let o=t[2].dims;if(X.size(o)!==e.n*a)throw new Error("scales input size error.");if(t.length===4){let u=t[3].dims,l=e.bits>4?e.n*a:e.n*Math.floor((a+1)/2);if(X.size(u)!==l)throw new Error("zeroPoints input size error.")}},eh=(t,e,r,n)=>{let a=t[0].dims,s=a.length,i=Math.floor((e.k+e.blockSize-1)/e.blockSize),o=a[s-2],u=e.k,l=e.n,c=a.slice(0,s-2),h=X.size(c),m=e.blockSize/8*e.bits/4,_=t[0].dataType,p=at(o),y=at(e.k),v=at(m),S=Yn(_),x=o*i*S,C=Math.floor(n/x),T=i<=r[0]&&C>0,I=!T||C>=4?at(l):C>=2&&at(l)>=2?2:1,R=c.concat([o,l]),P=X.size(R)/I/p,G=T?[]:[{type:12,data:P},{type:12,data:e.blockSize}],j=[h,o,u/y],K=X.convertShape(t[1].dims).slice();K.splice(-1,1,m/v),G.push(...ye(j)),G.push(...ye(K)),G.push(...ye(t[2].dims)),t.length===4&&G.push(...ye(X.convertShape(t[3].dims)));let he=[h,o,l/I];G.push(...ye(he));let ne=te=>{let se=j.length,D=Q("a",t[0].dataType,se,y),M=Q("b",12,K.length,v),V=Q("scales",t[2].dataType,t[2].dims.length),q=[D,M,V],ce=t.length===4?Q("zero_points",12,t[3].dims.length):void 0;ce&&q.push(ce);let ue=he.length,B=_e("output",t[0].dataType,ue,I),ae=[{name:"output_size",type:"u32"},{name:"block_size",type:"u32"}],de=ft(t[0].dataType),Se=(()=>{switch(y){case 1:return`array<${de}, 8>`;case 2:return`mat4x2<${de}>`;case 4:return`mat2x4<${de}>`;default:throw new Error(`${y}-component is not supported.`)}})(),Te=` + for (var word: u32 = 0; word < ${m}; word += ${v}) { + ${M.indicesSet("b_indices","2","word")}; + let b_data = ${M.getByIndices("b_indices")}; + for (var i: u32 = 0; i < ${v}; i++) { + let b_value: u32 = ${v===1?"b_data":"b_data[word + i]"}; + let b_mask: u32 = 0x0F0F0F0Fu; + let b_value_lower: vec4 = unpack4xU8(b_value & b_mask); + let b_value_upper: vec4 = unpack4xU8((b_value >> 4) & b_mask); + let b_quantized_values = ${Se}(${Array.from({length:4},(it,je)=>`${de}(b_value_lower[${je}]), ${de}(b_value_upper[${je}])`).join(", ")}); + let b_dequantized_values = ${y===1?`${Se}(${Array.from({length:8},(it,je)=>`(b_quantized_values[${je}] - zero_point) * scale`).join(", ")});`:`(b_quantized_values - ${Se}(${Array(8).fill("zero_point").join(",")})) * scale;`}; + // Number of B elements per 32-bit word is 32/bits = 32/4 = 8 + for (var m: u32 = 0; m < ${T?o:p}u; m++) { + ${D.indicesSet("a_indices",se-2,T?"m":`row * ${p} + m`)}; + ${D.indicesSet("a_indices",se-1,"word_offset")}; + var input_offset = ${D.indicesToOffset("a_indices")}; + var a_data: ${Se}; + for (var j: u32 = 0; j < ${8/y}; j++) { + a_data[j] = ${D.getByOffset("input_offset")}; + input_offset++; + } + ${T?"workgroup_shared[workgroup_shared_offset + m]":"output_values[m]"}${I>1?"[c]":""} += ${Array.from({length:8/y},(it,je)=>`${y===1?`a_data[${je}] * b_dequantized_values[${je}]`:`dot(a_data[${je}], b_dequantized_values[${je}])`}`).join(" + ")}; + } + word_offset += ${8/y}; + } + }`,Xe=ce?` + zero_point_offset += 4; + if (zero_point_offset == 32) { + zero_point_offset = 0; + zero_point_index++; + zero_point_word = ${ce.getByOffset("zero_point_index")}; + }`:"";return T?` + var workgroup_shared: array<${B.type.value}, ${o*i}>; + ${te.declareVariables(...q,B)} + ${te.mainStart([i,1,1])} + var a_indices: ${D.type.indices}; + var block = local_id.x; + var col = workgroup_id.y; + var batch = workgroup_id.z; + ${D.indicesSet("a_indices","0","batch")}; + // Two zero points are packed into one byte when uniforms.bits is 4. + for (var c: u32 = 0; c < ${I}; c++) { + let col_times_components_plus_c = col * ${I} + c; + ${ce?` + var zero_point_bytes_per_col: u32 = (${i} + 1) / 2; + var zero_point_byte_count: u32 = col_times_components_plus_c * zero_point_bytes_per_col + (block >> 0x1u); + var zero_point_word_index: u32 = zero_point_byte_count >> 0x2u; + var zero_point_byte_offset: u32 = zero_point_byte_count & 0x3u; + var zero_point_nibble_offset: u32 = block & 0x1u; + var zero_point_bits_offset: u32 = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2); + var zero_point_word: u32 = ${ce.getByOffset("zero_point_word_index")} >> zero_point_bits_offset;`:""} + var b_indices: ${M.type.indices}; + ${M.indicesSet("b_indices","0","col_times_components_plus_c")}; + // The scale and zero points are computed per block. + var scales_index = col_times_components_plus_c * ${i} + block; + let scale = ${V.getByOffset("scales_index")}; + // The default zero point is 8 for unsigned 4-bit quantization. + let zero_point = ${de}(${ce?"(zero_point_word) & 0xFu":8}); + ${M.indicesSet("b_indices","1","block")}; + var word_offset: u32 = block * ${e.blockSize/y}; + var workgroup_shared_offset: u32 = block * ${o}; + ${Te} + } + workgroupBarrier(); + if (local_id.x == 0u) { + var output_indices: ${B.type.indices}; + ${B.indicesSet("output_indices","0","batch")}; + ${B.indicesSet("output_indices",ue-1,"col")}; + ${B.indicesSet("output_indices",ue-2,"0")}; + var output_offset = ${B.indicesToOffset("output_indices")}; + for (var m: u32 = 0u; m < ${o}u; m++) { + var output_value: ${B.type.value} = ${B.type.value}(0); + var workgroup_shared_offset: u32 = m; + for (var b: u32 = 0u; b < ${i}u; b++) { + output_value += workgroup_shared[workgroup_shared_offset]; + workgroup_shared_offset += ${o}; + } + ${B.setByOffset("output_offset","output_value")}; + output_offset += ${l/I}; + } + } + }`:` + ${te.registerUniforms(ae).declareVariables(...q,B)} + ${te.mainStart()} + ${te.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + var output_values: array<${B.type.value}, ${p}>; + var output_indices = ${B.offsetToIndices("global_idx")}; + var col = ${B.indicesGet("output_indices",ue-1)}; + var row = ${B.indicesGet("output_indices",ue-2)}; + var a_indices: ${D.type.indices} = output_indices; + // Two zero points are packed into one byte because uniforms.bits <= 4. + // zero_point_offset is either 0 or 4. It is bit offset within one byte. + // TODO support zero_point_offset for bits > 4 + ${ce?` + var zero_point_abs_offset = col * ${I} * ((${i} + 1) / 2); + var zero_point_index: u32 = zero_point_abs_offset / 4; + var zero_point_word: u32 = ${ce.getByOffset("zero_point_index")}; + var zero_point_offset: u32 = (zero_point_abs_offset % 4) * 8;`:""} + var scale_index = col * ${i*I}; + var b_indices: ${M.type.indices}; + for (var c: u32 = 0; c < ${I}; c++) { + ${M.indicesSet("b_indices","0",`col * ${I} + c`)}; + var block_offset: u32 = 0; + for (var block: u32 = 0; block < ${i}; block++) { + // The scale and zero points are computed per block. + let scale = ${V.getByOffset("scale_index")}; + // The default zero point is 8 for unsigned 4-bit quantization. + let zero_point = ${de}(${ce?"extractBits(zero_point_word, zero_point_offset, 4)":8}); + ${M.indicesSet("b_indices","1","block")}; + var word_offset: u32 = block_offset; + ${Te} + scale_index++; + ${Xe} + block_offset += uniforms.block_size / ${y}; + } + // Drop the trailing 4 bits if the zero_poit_offset is not a byte boundary to align with the next byte. + ${ce?`if (zero_point_offset % 8 > 0) { + ${Xe} + }`:""} + } + for (var k: u32 = 0u; k < ${p}u; k++) { + ${B.indicesSet("output_indices",ue-2,`${p} * row + k`)}; + ${B.setByIndices("output_indices","output_values[k]")} + } + }`};return{name:T?"BlockwiseMatMulNBits":"MatMulNBits",shaderCache:{hint:`${e.cacheKey};${o};${_};${t.length}`,inputDependencies:Array(t.length).fill("rank")},getRunData:()=>({outputs:[{dims:R,dataType:_}],name:T?"BlockwiseMatMulNBits":"MatMulNBits",dispatchGroup:T?{x:1,y:Math.ceil(l/I),z:h}:{x:Math.ceil(P/64)},programUniforms:G}),getShaderSource:ne}},th=(t,e)=>{Zp(t.inputs,e);let r=t.getMaxComputeWorkgroupSizes(),n=t.getMaxComputeWorkgroupStoragesize();t.compute(eh(t.inputs,e,r,n))},rh=t=>Ke(t)}),xt,nh,ah,_o,ih,bi,sh,mw=ee(()=>{xe(),Oe(),dt(),Ns(),Pd(),Ae(),Qn(),xt=(t,e)=>t.length>e&&t[e].dims.length>0&&X.size(t[e].dims)>0?t[e]:void 0,nh=(t,e)=>{let r=t[0],n=xt(t,1),a=xt(t,2),s=xt(t,3),i=xt(t,4),o=xt(t,5),u=xt(t,6),l=xt(t,7);if(r.dims.length!==3&&r.dims.length!==5)throw new Error("Input query is expected to have 3 or 5 dimensions");let c=!1,h=r.dims[0],m=r.dims[1],_=r.dims.length===3?c?r.dims[2]/3:r.dims[2]:e.numHeads*r.dims[4],p=m,y=0,v=0,S=Math.floor(_/e.numHeads);if(u&&l){if(u.dims.length!==4)throw new Error('Input "past_key" is expected to have 4 dimensions');if(u.dims[0]!==h||u.dims[1]!==e.numHeads||u.dims[3]!==S)throw new Error('Input "past_key" shape (batch_size, num_heads, past_sequence_length, head_size)');if(l.dims[0]!==h||l.dims[1]!==e.numHeads||l.dims[3]!==S)throw new Error('Input "past_value" shape (batch_size, num_heads, past_sequence_length, head_size)');if(u.dims[2]!==l.dims[2])throw new Error('Input "past_key" and "past_value" shall have same dim 2 (past_sequence_length)');if(l.dims.length!==4)throw new Error('Input "past_value" is expected to have 4 dimensions');y=u.dims[2],v=u.dims[2]}else if(u||l)throw new Error('Input "past_key" and "past_value" shall be both present or both absent');let x;if(n){if(r.dims.length!==3)throw new Error('Input "query" is expected to have 3 dimensions when key is given');if(n.dims.length<3||n.dims.length>5)throw new Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(r.dims[0]!==n.dims[0])throw new Error('Input "query" and "key" shall have same dim 0 (batch size)');if(n.dims.length===3){if(n.dims[2]!==r.dims[2])throw new Error('Input "query" and "key" shall have same dim 2 (hidden_size)');x=2,p=n.dims[1]}else if(n.dims.length===5){if(n.dims[2]!==e.numHeads||n.dims[3]!==2||n.dims[4]!==S)throw new Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(a)throw new Error('Expect "value" be none when "key" has packed kv format.');x=5,p=n.dims[1]}else{if(n.dims[1]!==e.numHeads||n.dims[3]!==S)throw new Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');x=0,p=n.dims[2]}}else{if(r.dims.length!==3&&r.dims.length!==5)throw new Error('Input "query" is expected to have 3 or 5 dimensions when key is empty');if(r.dims.length===5&&(r.dims[2]!==e.numHeads||r.dims[3]!==3))throw new Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');x=3}if(s){if(s.dims.length!==1)throw new Error('Input "bias" is expected to have 1 dimension');if(a&&r.dims.length===5&&r.dims[3]===2)throw new Error("bias is not allowed for packed kv.")}let C=0;if(i){C=8;let G=i.dims;throw G.length===1?G[0]===h?C=1:G[0]===3*h+2&&(C=3):G.length===2&&G[0]===h&&G[1]===p&&(C=5),C===8?new Error('Input "key_padding_mask" shape shall be (batch_size) or (batch_size, kv_sequence_length)'):new Error("Mask not supported")}let T=!1,I=_;if(a){if(a.dims.length!==3&&a.dims.length!==4)throw new Error('Input "value" is expected to have 3 or 4 dimensions');if(r.dims[0]!==a.dims[0])throw new Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(a.dims.length===3){if(p!==a.dims[1])throw new Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');I=a.dims[2]}else{if(p!==a.dims[2])throw new Error('Input "past_key" and "past_value" shall have the same dim 2 (kv_sequence_length)');I=a.dims[1]*a.dims[3],T=!0}}let R=y+p,P=!1;if(i)throw new Error("Key padding mask is not supported");if(o){if(o.dims.length!==4)throw new Error('Input "relative_position_bias" is expected to have 4 dimensions');if(o.dims[0]!==h&&o.dims[0]!==1||o.dims[1]!==e.numHeads||o.dims[2]!==m||o.dims[3]!==R)throw new Error('Input "relative_position_bias" shape (batch_size, 1, sequence_length, kv_sequence_length)')}return{batchSize:h,sequenceLength:m,pastSequenceLength:y,kvSequenceLength:p,totalSequenceLength:R,maxSequenceLength:v,inputHiddenSize:0,hiddenSize:_,vHiddenSize:I,headSize:S,vHeadSize:Math.floor(I/e.numHeads),numHeads:e.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:e.maskFilterValue,maskType:C,scale:e.scale,broadcastResPosBias:P,passPastInKv:T,qkvFormat:x}},ah=t=>Ke({...t}),_o=Ke({perm:[0,2,1,3]}),ih=(t,e,r,n,a,s,i)=>{let o=[n,a,s],u=X.size(o),l=[{type:12,data:u},{type:12,data:i},{type:12,data:s}],c=h=>{let m=_e("qkv_with_bias",e.dataType,o),_=Q("qkv",e.dataType,o),p=Q("bias",r.dataType,o),y=[{name:"output_size",type:"u32"},{name:"bias_offset",type:"u32"},{name:"hidden_size",type:"u32"}];return` + ${h.registerUniforms(y).declareVariables(_,p,m)} + ${h.mainStart()} + ${h.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let bias_offset_idx = (global_idx % uniforms.hidden_size) + uniforms.bias_offset; + + qkv_with_bias[global_idx] = qkv[global_idx] + bias[bias_offset_idx]; + }`};return t.compute({name:"MultiHeadAttentionAddBias",shaderCache:{inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:o,dataType:e.dataType,gpuDataType:0}],dispatchGroup:{x:Math.ceil(u/64)},programUniforms:l}),getShaderSource:c},{inputs:[e,r],outputs:[-1]})[0]},bi=(t,e,r,n,a,s,i,o)=>{let u=s;if(i){if(n===1)throw new Error("AddBiasReshape is not implemented. Please export your model with packed QKV or KV");return u=ih(t,s,i,e,n,r*a,o),u=u.reshape([e,n,r,a]),t.compute(br(u,_o.perm),{inputs:[u],outputs:[-1]})[0]}else return s.dims.length===3&&(u=s.reshape([e,n,r,a])),t.compute(br(u,_o.perm),{inputs:[u],outputs:[-1]})[0]},sh=(t,e)=>{let r=nh(t.inputs,e),n=t.inputs[0],a=xt(t.inputs,1),s=xt(t.inputs,2),i=xt(t.inputs,3),o=xt(t.inputs,4),u=xt(t.inputs,5),l=xt(t.inputs,6),c=xt(t.inputs,7);if(n.dims.length===5)throw new Error("Packed QKV is not implemented");if((a==null?void 0:a.dims.length)===5)throw new Error("Packed KV is not implemented");let h=a&&s&&a.dims.length===4&&s.dims.length===4,m=bi(t,r.batchSize,r.numHeads,r.sequenceLength,r.headSize,n,i,0);if(h)return ci(t,m,a,s,o,void 0,l,c,u,r,e);if(!a||!s)throw new Error("key and value must be provided");let _=bi(t,r.batchSize,r.numHeads,r.kvSequenceLength,r.headSize,a,i,r.hiddenSize),p=bi(t,r.batchSize,r.numHeads,r.kvSequenceLength,r.vHeadSize,s,i,2*r.hiddenSize);ci(t,m,_,p,o,void 0,l,c,u,r,e)}}),oh,uh,lh,dh,ch,ph,hh,fh,mh,gw=ee(()=>{xe(),Oe(),Ae(),oh=t=>{if(!t||t.length<1)throw new Error("Too few inputs");if(t[0].dataType!==1&&t[0].dataType!==10)throw new Error("Input type must be float or float16.");if(t.length>=2){let e=t[0].dims.length*2===t[1].dims[0];if(t.length===4&&(e=t[3].dims[0]*2===t[1].dims[0]),!e)throw new Error("The pads should be a 1D tensor of shape [2 * input_rank] or [2 * num_axes].")}},uh=(t,e,r)=>{let n="";for(let a=e-1;a>=0;--a)n+=` + k = i32(${t.indicesGet("indices",a)}) - ${ke("uniforms.pads",a,r)}; + if (k < 0) { + break; + } + if (k >= i32(${ke("uniforms.x_shape",a,e)})) { + break; + } + offset += k * i32(${ke("uniforms.x_strides",a,e)}); + `;return` + value = ${t.type.value}(uniforms.constant_value); + for (var i = 0; i < 1; i++) { + var offset = 0; + var k = 0; + ${n} + value = x[offset]; + } + `},lh=(t,e,r)=>{let n="";for(let a=e-1;a>=0;--a)n+=` + k = i32(${t.indicesGet("indices",a)}) - ${ke("uniforms.pads",a,r)}; + if (k < 0) { + k = -k; + } + { + let _2n_1 = 2 * (i32(${ke("uniforms.x_shape",a,e)}) - 1); + k = k % _2n_1; + if(k >= i32(${ke("uniforms.x_shape",a,e)})) { + k = _2n_1 - k; + } + } + offset += k * i32(${ke("uniforms.x_strides",a,e)}); + `;return` + var offset = 0; + var k = 0; + ${n} + value = x[offset]; + `},dh=(t,e,r)=>{let n="";for(let a=e-1;a>=0;--a)n+=` + k = i32(${t.indicesGet("indices",a)}) - ${ke("uniforms.pads",a,r)}; + if (k < 0) { + k = 0; + } + if (k >= i32(${ke("uniforms.x_shape",a,e)})) { + k = i32(${ke("uniforms.x_shape",a,e)}) - 1; + } + offset += k * i32(${ke("uniforms.x_strides",a,e)}); + `;return` + var offset = 0; + var k = 0; + ${n} + value = x[offset]; + `},ch=(t,e,r)=>{let n="";for(let a=e-1;a>=0;--a)n+=` + k = i32(${t.indicesGet("indices",a)}) - ${ke("uniforms.pads",a,r)}; + if (k < 0) { + k += i32(${ke("uniforms.x_shape",a,e)}]); + } + if (k >= i32(${ke("uniforms.x_shape",a,e)})) { + k -= i32(${ke("uniforms.x_shape",a,e)}); + } + offset += k * i32(${ke("uniforms.x_strides",a,e)}); + `;return` + var offset = 0; + var k = 0; + ${n} + value = x[offset]; + `},ph=(t,e,r)=>{switch(r.mode){case 0:return uh(t,e,r.pads.length);case 1:return lh(t,e,r.pads.length);case 2:return dh(t,e,r.pads.length);case 3:return ch(t,e,r.pads.length);default:throw new Error("Invalid mode")}},hh=(t,e)=>{let r=X.padShape(t[0].dims.slice(),e.pads),n=t[0].dims,a=X.size(r),s=[{type:12,data:a},{type:6,data:e.pads}];e.mode===0&&s.push({type:t[0].dataType,data:e.value}),s.push(...ye(t[0].dims,r));let i=["rank"],o=u=>{let l=_e("output",t[0].dataType,r.length),c=Q("x",t[0].dataType,n.length),h=c.type.value,m=ph(l,n.length,e),_=[{name:"output_size",type:"u32"},{name:"pads",type:"i32",length:e.pads.length}];return e.mode===0&&_.push({name:"constant_value",type:h}),` + ${u.registerUniforms(_).declareVariables(c,l)} + ${u.mainStart()} + ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + + let indices = ${l.offsetToIndices("global_idx")}; + + var value = ${h}(0); + ${m} + output[global_idx] = value; + }`};return{name:"Pad",shaderCache:{hint:`${e.mode}`,inputDependencies:i},getRunData:()=>({outputs:[{dims:r,dataType:t[0].dataType}],dispatchGroup:{x:Math.ceil(X.size(r)/64)},programUniforms:s}),getShaderSource:o}},fh=(t,e)=>{if(t.length>1){let r=t[1].getBigInt64Array(),n=t.length>=3&&t[2].data?t[2].getFloat32Array()[0]:0,a=t[0].dims.length,s=new Int32Array(2*a).fill(0);if(t.length>=4){let o=t[3].getBigInt64Array();for(let u=0;us[Number(u)]=Number(o));let i=[];return s.forEach(o=>i.push(o)),{mode:e.mode,value:n,pads:i}}else return e},mh=(t,e)=>{oh(t.inputs);let r=fh(t.inputs,e);t.compute(hh(t.inputs,r),{inputs:[0]})}}),Zn,wo,yo,bo,vo,gh,_h,$o,xo,wh,yh,So,bh,vh,ko,$h,xh,Sh,kh,_w=ee(()=>{Yt(),xe(),Oe(),Ae(),Zn=t=>{if(Ue.webgpu.validateInputContent&&(!t||t.length!==1))throw new Error("Pool ops requires 1 input.")},wo=(t,e,r)=>{let n=e.format==="NHWC",a=t.dims.slice();n&&a.splice(1,0,a.pop());let s=Object.hasOwnProperty.call(e,"dilations"),i=e.kernelShape.slice(),o=e.strides.slice(),u=s?e.dilations.slice():[],l=e.pads.slice();si.adjustPoolAttributes(r,a,i,o,u,l);let c=si.computePoolOutputShape(r,a,o,u,i,l,e.autoPad),h=Object.assign({},e);s?Object.assign(h,{kernelShape:i,strides:o,pads:l,dilations:u,cacheKey:e.cacheKey}):Object.assign(h,{kernelShape:i,strides:o,pads:l,cacheKey:e.cacheKey});let m=c.slice();return m.push(m.splice(1,1)[0]),[h,n?m:c]},yo=(t,e)=>{let r=e.format==="NHWC",n=X.size(t),a=X.size(e.kernelShape),s=[{type:12,data:n},{type:12,data:a}],i=[{name:"outputSize",type:"u32"},{name:"kernelSize",type:"u32"}];if(e.kernelShape.length<=2){let o=e.kernelShape[e.kernelShape.length-1],u=e.strides[e.strides.length-1],l=e.pads[e.pads.length/2-1],c=e.pads[e.pads.length-1],h=!!(l+c);s.push({type:12,data:o},{type:12,data:u},{type:12,data:l},{type:12,data:c}),i.push({name:"kw",type:"u32"},{name:"sw",type:"u32"},{name:"pwStart",type:"u32"},{name:"pwEnd",type:"u32"});let m=!1;if(e.kernelShape.length===2){let _=e.kernelShape[e.kernelShape.length-2],p=e.strides[e.strides.length-2],y=e.pads[e.pads.length/2-2],v=e.pads[e.pads.length-2];m=!!(y+v),s.push({type:12,data:_},{type:12,data:p},{type:12,data:y},{type:12,data:v}),i.push({name:"kh",type:"u32"},{name:"sh",type:"u32"},{name:"phStart",type:"u32"},{name:"phEnd",type:"u32"})}return[s,i,!0,h,m]}else{if(r)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let o=X.computeStrides(e.kernelShape);s.push({type:12,data:o},{type:12,data:e.pads},{type:12,data:e.strides}),i.push({name:"kernelStrides",type:"u32",length:o.length},{name:"pads",type:"u32",length:e.pads.length},{name:"strides",type:"u32",length:e.strides.length});let u=e.pads.reduce((l,c)=>l+c);return[s,i,!!u,!1,!1]}},bo=(t,e,r,n,a,s,i,o,u,l,c,h)=>{let m=a.format==="NHWC",_=e.type.value,p=_e("output",e.type.tensor,n);if(a.kernelShape.length<=2){let y="",v="",S="",x=r-(m?2:1);if(c?y=` + for (var i: u32 = 0u; i < uniforms.kw; i++) { + xIndices[${x}] = indices[${x}] * uniforms.sw - uniforms.pwStart + i; + if (xIndices[${x}] < 0 || xIndices[${x}] + >= uniforms.x_shape[${x}]) { + pad++; + continue; + } + let x_val = x[${e.indicesToOffset("xIndices")}]; + ${s} + }`:y=` + for (var i: u32 = 0u; i < uniforms.kw; i++) { + xIndices[${x}] = indices[${x}] * uniforms.sw - uniforms.pwStart + i; + let x_val = x[${e.indicesToOffset("xIndices")}]; + ${s} + }`,a.kernelShape.length===2){let C=r-(m?3:2);h?v=` + for (var j: u32 = 0u; j < uniforms.kh; j++) { + xIndices[${C}] = indices[${C}] * uniforms.sh - uniforms.phStart + j; + if (xIndices[${C}] < 0 || xIndices[${C}] >= uniforms.x_shape[${C}]) { + pad += i32(uniforms.kw); + continue; + } + `:v=` + for (var j: u32 = 0u; j < uniforms.kh; j++) { + xIndices[${C}] = indices[${C}] * uniforms.sh - uniforms.phStart + j; + `,S=` + } + `}return` + ${t.registerUniforms(u).declareVariables(e,p)} + + ${t.mainStart()} + ${t.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + + let indices = ${p.offsetToIndices("global_idx")}; + var xIndices = ${p.offsetToIndices("global_idx")}; + + var value = ${_}(${o}); + var pad = 0; + ${v} + ${y} + ${S} + ${i} + + output[global_idx] = value; + }`}else{if(m)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let y=a.kernelShape.length,v=a.pads.length,S="";return l?S=` + if (xIndices[j] >= uniforms.x_shape[j]) { + pad++; + isPad = true; + break; + } + } + if (!isPad) { + let x_val = x[${e.indicesToOffset("xIndices")}]; + ${s} + }`:S=` + } + let x_val = x[${e.indicesToOffset("xIndices")}]; + ${s} + `,` + ${t.registerUniforms(u).declareVariables(e,p)} + + ${t.mainStart()} + ${t.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + let indices = ${p.offsetToIndices("global_idx")}; + var xIndices = ${p.offsetToIndices("global_idx")}; + + var offsets: array; + + var value = ${_}(${o}); + var pad = 0; + var isPad = false; + + for (var i: u32 = 0u; i < uniforms.kernelSize; i++) { + var offset = i; + for (var j = 0u; j < ${y-1}u; j++) { + offsets[j] = offset / ${ke("uniforms.kernelStrides","j",y)}; + offset -= offsets[j] * ${ke("uniforms.kernelStrides","j",y)}; + } + offsets[${y-1}] = offset; + + isPad = false; + for (var j = ${r-y}u; j < ${r}u; j++) { + xIndices[j] = indices[j] * ${ke("uniforms.strides",`j - ${r-y}u`,y)} + + offsets[j - ${r-y}u] - ${ke("uniforms.pads","j - 2u",v)}; + ${S} + } + ${i} + + output[global_idx] = value; + }`}},vo=t=>`${t.format};${t.ceilMode};${t.autoPad};${t.kernelShape.length}`,gh=t=>`${vo(t)};${t.countIncludePad}`,_h=t=>`${vo(t)};${t.storageOrder};${t.dilations}`,$o=t=>({format:t.format,autoPad:["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][t.auto_pad],ceilMode:t.ceil_mode,kernelShape:t.kernel_shape,strides:t.strides,pads:t.pads}),xo=(t,e,r,n)=>{let[a,s]=wo(e,n,r),i=Q("x",e.dataType,e.dims.length),o=i.type.value,u="value += x_val;",l="";a.countIncludePad?l+=`value /= ${o}(uniforms.kernelSize);`:l+=`value /= ${o}(i32(uniforms.kernelSize) - pad);`;let[c,h,m,_,p]=yo(s,a);c.push(...ye(e.dims,s));let y=["rank"];return{name:t,shaderCache:{hint:`${n.cacheKey};${m};${_};${p}`,inputDependencies:y},getRunData:()=>({outputs:[{dims:s,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(X.size(s)/64)},programUniforms:c}),getShaderSource:v=>bo(v,i,e.dims.length,s.length,a,u,l,0,h,m,_,p)}},wh=t=>{let e=t.count_include_pad!==0,r=$o(t);if(r.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");let n={countIncludePad:e,...r,cacheKey:""};return{...n,cacheKey:gh(n)}},yh=(t,e)=>{Zn(t.inputs),t.compute(xo("AveragePool",t.inputs[0],!1,e))},So={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[]},bh=t=>{let e=t.format;return{format:e,...So,cacheKey:e}},vh=(t,e)=>{Zn(t.inputs),t.compute(xo("GlobalAveragePool",t.inputs[0],!0,e))},ko=(t,e,r,n)=>{let[a,s]=wo(e,n,r),i=` + value = max(x_val, value); + `,o="",u=Q("x",e.dataType,e.dims.length),l=["rank"],[c,h,m,_,p]=yo(s,a);return c.push(...ye(e.dims,s)),{name:t,shaderCache:{hint:`${n.cacheKey};${m};${_};${p}`,inputDependencies:l},getRunData:()=>({outputs:[{dims:s,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(X.size(s)/64)},programUniforms:c}),getShaderSource:y=>bo(y,u,e.dims.length,s.length,a,i,o,e.dataType===10?-65504:-1e5,h,m,_,p)}},$h=(t,e)=>{Zn(t.inputs),t.compute(ko("MaxPool",t.inputs[0],!1,e))},xh=t=>{let e=t.storage_order,r=t.dilations,n=$o(t);if(e!==0)throw new Error("column major storage order is not yet supported for MaxPool");if(n.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for MaxPool");let a={storageOrder:e,dilations:r,...n,cacheKey:""};return{...a,cacheKey:_h(a)}},Sh=t=>{let e=t.format;return{format:e,...So,cacheKey:e}},kh=(t,e)=>{Zn(t.inputs),t.compute(ko("GlobalMaxPool",t.inputs[0],!0,e))}}),Eh,Ch,Th,ww=ee(()=>{Yt(),xe(),Ae(),Eh=(t,e,r)=>{let n=t===e,a=te&&r>0;if(n||a||s)throw new Error("Range these inputs' contents are invalid.")},Ch=(t,e,r,n)=>{let a=Math.abs(Math.ceil((e-t)/r)),s=[a],i=a,o=[{type:12,data:i},{type:n,data:t},{type:n,data:r},...ye(s)],u=l=>{let c=_e("output",n,s.length),h=c.type.value,m=[{name:"outputSize",type:"u32"},{name:"start",type:h},{name:"delta",type:h}];return` + ${l.registerUniforms(m).declareVariables(c)} + ${l.mainStart()} + ${l.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + output[global_idx] = uniforms.start + ${h}(global_idx) * uniforms.delta; + }`};return{name:"Range",shaderCache:{hint:`${n}`},getShaderSource:u,getRunData:()=>({outputs:[{dims:s,dataType:n}],dispatchGroup:{x:Math.ceil(i/64)},programUniforms:o})}},Th=t=>{let e=0,r=0,n=0;t.inputs[0].dataType===6?(e=t.inputs[0].getInt32Array()[0],r=t.inputs[1].getInt32Array()[0],n=t.inputs[2].getInt32Array()[0]):t.inputs[0].dataType===1&&(e=t.inputs[0].getFloat32Array()[0],r=t.inputs[1].getFloat32Array()[0],n=t.inputs[2].getFloat32Array()[0]),Ue.webgpu.validateInputContent&&Eh(e,r,n),t.compute(Ch(e,r,n,t.inputs[0].dataType),{inputs:[]})}}),Ih,Ah,Mh,Oh,zh,Rh,Ph,Bh,Dh,Nh,Fh,Eo,Lh,Uh,Wh,Vh,Gh,Hh,jh,yw=ee(()=>{xe(),Oe(),dt(),Ae(),Ih=(t,e)=>{if(t.every(r=>r>0||(()=>{throw new Error("Resize requires scales input values to be positive")})),t.length>0){if(e.mode==="linear"){if(!(t.length===2||t.length===3||t.length===4&&t[0]===1&&t[1]===1||t.length===4&&t[0]===1&&t[3]===1||t.length===5&&t[0]===1&&t[1]===1))throw new Error(`For linear mode, Resize requires scales to be 2D, 3D, 4D with either two outermost or one innermost and + one outermost scale values equal to 1, or 5D with two outermost scale values equal to 1`)}else if(e.mode==="cubic"&&!(t.length===2||t.length===4&&t[0]===1&&t[1]===1||t.length===4&&t[0]===1&&t[3]===1))throw new Error("Resize requires scales input size to be 2 or 4 for cubic mode")}},Ah=(t,e,r)=>{e.every(a=>a>=0&&a{throw new Error("Resize requires axes input values to be positive and less than rank")}));let n=new Array(r).fill(1);return e.forEach((a,s)=>n[a]=t[s]),n},Mh=(t,e,r,n,a,s)=>{let[i,o,u]=r>10?[1,2,3]:[-1,t.length>1?1:-1,-1],l=t[0].dims.length;if(i>0&&t.length>i&&t[i].dims.length>0)t[i].getFloat32Array().forEach(c=>s.push(c));else if(e.coordinateTransformMode==="tf_crop_and_resize")throw new Error("Resize requires RoI input to be specified when coordinateTransformMode is tfCropAndResize");if(o>0&&t.length>o&&t[o].dims.length>0){if(t[o].getFloat32Array().forEach(c=>n.push(c)),n.length!==0&&n.length!==l&&r>=18&&n.length!==e.axes.length)throw new Error("Resize requires scales input size to be same as input rank or axes size for opset 18 and up");Ih(n,e),e.axes.length>0&&Ah(n,e.axes,l).forEach((c,h)=>n[h]=c)}if(u>0&&t.length>u&&(t[u].getBigInt64Array().forEach(c=>a.push(Number(c))),a.length!==l||r>=18&&a.length===e.axes.length))throw new Error("Resize requires sizes input size to be same as input rank or axes size for opset 18 and up");if(e.axes.length>0){if(n.length!==e.axes.length)throw new Error('Resize requires "scales" input size to be of axes rank when axes attributes is specified');if(a.length!==e.axes.length)throw new Error('Resize requires "sizes" input size to be of rank axes rank when axes attributes is specified')}if(typeof n<"u"&&typeof a<"u"&&n.length>0&&a.length>l)throw new Error("Resize requires only of scales or sizes to be specified")},Oh=(t,e)=>`fn getOriginalCoordinateFromResizedCoordinate(xResized: u32, xScale: f32, lengthResized: u32, + lengthOriginal: u32, roiStart: f32, roiEnd: f32) -> ${e} { `+(()=>{switch(t){case"asymmetric":return`return ${e}(xResized) / ${e}(xScale);`;case"pytorch_half_pixel":return`if (lengthResized > 1) { + return (${e}(xResized) + 0.5) / ${e}(xScale) - 0.5; + } else { + return 0.0; + }`;case"tf_half_pixel_for_nn":return`return (${e}(xResized) + 0.5) / ${e}(xScale);`;case"align_corners":return`if (lengthResized == 1) { + return 0.0; + } else { + // The whole part and the fractional part are calculated separately due to inaccuracy of floating + // point division. As an example, f32(21) / f32(7) may evaluate to 2.99... instead of 3, causing an + // offset-by-one error later in floor(). + let whole = ${e}(xResized * (lengthOriginal - 1) / (lengthResized - 1)); + let fract = + ${e}(xResized * (lengthOriginal - 1) % (lengthResized - 1)) / ${e}(lengthResized - 1); + return whole + fract; + }`;case"tf_crop_and_resize":return`if (lengthResized > 1) { + return ${e}(roiStart) * ${e}(lengthOriginal - 1) + + (${e}(xResized) * ${e}(roiEnd - roiStart) * ${e}(lengthOriginal - 1)) / + ${e}(lengthResized - 1); + } else { + return 0.5 * ${e}(roiStart + roiEnd) * ${e}(lengthOriginal - 1); + }`;case"half_pixel_symmetric":return`const outputWidth = ${e}xScale * ${e}(lengthResized); + const adjustment = ${e}(lengthResized) / outputWidth; + const center = ${e}(lengthOriginal) / 2; + const offset = center * (1 - adjustment); + return offset + ((${e}(xResized) + 0.5) / ${e}(xScale)) - 0.5;`;case"half_pixel":return`return ((${e}(xResized) + 0.5) / ${e}(xScale)) - 0.5;`;default:throw new Error(`Coordinate transform mode ${t} is not supported`)}})()+"}",zh=(t,e,r)=>`fn getNearestPixelFromOriginal(xOriginal: ${r}, isDownSample: bool) -> ${r} {`+(()=>{switch(t){case"round_prefer_ceil":return"if (fract(xOriginal) == 0.5) { return ceil(xOriginal); } else { return round(xOriginal); }";case"floor":return"return floor(xOriginal);";case"ceil":return"return ceil(xOriginal);";case"round_prefer_floor":return"if (fract(xOriginal) == 0.5) { return floor(xOriginal); } else { return round(xOriginal); }";case"simple":default:if(e<11)return"if (isDownSample) { return ceil(xOriginal); } else { return xOriginal; }";throw new Error(`Nearest mode ${t} is not supported`)}})()+"}",Rh=(t,e,r)=>{let n=new Array(r).fill(0).concat(new Array(r).fill(1)),a=t.length===0?n:t.slice();return e.length>0?(e.forEach((s,i)=>{n[s]=a[i],n[i+r]=a[e.length+i]}),n):a},Ph=(t,e,r,n)=>{let a=[];if(r.length>0)if(n.length>0){if(t.forEach(s=>a.push(s)),Math.max(...n)>t.length)throw new Error("axes is out of bound");n.forEach((s,i)=>a[s]=r[i])}else r.forEach(s=>a.push(s));else{if(e.length===0)throw new Error("Resize requires either scales or sizes.");a=t.map((s,i)=>Math.round(s*e[i]))}return a},Bh=(t,e,r)=>{let n=(()=>{switch(r.keepAspectRatioPolicy){case"not_larger":return r.axes.length>0?Math.min(...r.axes.map(s=>e[s]),Number.MAX_VALUE):Math.min(...e,Number.MAX_VALUE);case"not_smaller":return r.axes.length>0?Math.max(...r.axes.map(s=>e[s]),Number.MIN_VALUE):Math.max(...e,Number.MIN_VALUE);default:throw new Error(`Keep aspect ratio policy ${r.keepAspectRatioPolicy} is not supported`)}})();e.fill(1,0,e.length);let a=t.slice();return r.axes.length>0?(r.axes.forEach(s=>e[s]=n),r.axes.forEach(s=>a[s]=Math.round(t[s]*e[s]))):(e.fill(n,0,e.length),a.forEach((s,i)=>a[i]=Math.round(s*e[i]))),a},Dh=(t,e,r,n,a)=>` + fn calculateOriginalIndicesFromOutputIndices(output_indices: ${t.type.indices}) -> array<${t.type.value}, ${r.length}> { + var original_indices: array<${t.type.value}, ${r.length}>; + for (var i:u32 = 0; i < ${r.length}; i++) { + var output_index = ${t.indicesGet("output_indices","i")}; + var scale = ${ke("uniforms.scales","i",n)}; + var roi_low = ${ke("uniforms.roi","i",a)}; + var roi_hi = ${ke("uniforms.roi",`i + ${e.length}`,a)}; + if (scale == 1.0) { + original_indices[i] = ${t.type.value}(output_index); + } else { + var input_shape_i = ${ke("uniforms.input_shape","i",e.length)}; + var output_shape_i = ${ke("uniforms.output_shape","i",r.length)}; + original_indices[i] = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i, + input_shape_i, roi_low, roi_hi); + } + } + return original_indices; + }`,Nh=(t,e,r,n,a,s,i)=>` + fn calculateInputIndicesFromOutputIndices(output_indices: ${e.type.indices}) -> ${t.type.indices} { + var input_indices: ${t.type.indices}; + for (var i:u32 = 0; i < ${n.length}; i++) { + var output_index = ${e.indicesGet("output_indices","i")}; + var input_index: u32; + var scale = ${ke("uniforms.scales","i",a)}; + if (scale == 1.0) { + input_index = output_index; + } else { + var roi_low = ${ke("uniforms.roi","i",s)}; + var roi_hi = ${ke("uniforms.roi",`i + ${r.length}`,s)}; + var input_shape_i = ${ke("uniforms.input_shape","i",r.length)}; + var output_shape_i = ${ke("uniforms.output_shape","i",n.length)}; + var original_idx = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i, + input_shape_i, roi_low, roi_hi); + if (!${i} || (original_idx >= 0 && original_idx < ${e.type.value}(input_shape_i))) { + if (original_idx < 0) { + input_index = 0; + } else if (original_idx > ${e.type.value}(input_shape_i - 1)) { + input_index = input_shape_i - 1; + } else { + input_index = u32(getNearestPixelFromOriginal(original_idx, scale < 1)); + } + } else { + input_index = u32(original_idx); + } + } + ${t.indicesSet("input_indices","i"," input_index")} + } + return input_indices; + }`,Fh=(t,e)=>` + fn checkInputIndices(input_indices: ${t.type.indices}) -> bool { + for (var i:u32 = 0; i < ${e.length}; i++) { + var input_index = ${t.indicesGet("input_indices","i")}; + if (input_index < 0 || input_index >= ${ke("uniforms.input_shape","i",e.length)}) { + return false; + } + } + return true; + }`,Eo=(t,e,r,n)=>t.rank>n?` + ${t.indicesSet("input_indices",e,"channel")}; + ${t.indicesSet("input_indices",r,"batch")}; +`:"",Lh=(t,e,r,n,a)=>{let[s,i,o,u]=r.length===2?[-1,0,1,-1]:[0,2,3,1],l=t.type.value;return` + fn getInputValue(batch: u32, channel: u32, row: u32, col: u32) -> ${l} { + var input_indices: ${t.type.indices}; + ${t.indicesSet("input_indices",i,`max(0, min(row, ${r[i]} - 1))`)}; + ${t.indicesSet("input_indices",o,`max(0, min(col, ${r[o]} - 1))`)}; + ${Eo(t,u,s,2)} + return ${t.getByIndices("input_indices")}; + } + + fn bilinearInterpolation(output_indices: ${e.type.indices}) -> ${l} { + var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices); + var row:${l} = originalIndices[${i}]; + var col:${l} = originalIndices[${o}]; + ${n?`if (row < 0 || row > (${r[i]} - 1) || col < 0 || col > (${r[o]} - 1)) { + return ${a}; + }`:""}; + row = max(0, min(row, ${r[i]} - 1)); + col = max(0, min(col, ${r[o]} - 1)); + var row1: u32 = u32(row); + var col1: u32 = u32(col); + var row2: u32 = u32(row + 1); + var col2: u32 = u32(col + 1); + var channel: u32 = ${r.length>2?`u32(originalIndices[${u}])`:"0"}; + var batch: u32 = ${r.length>2?`u32(originalIndices[${s}])`:"0"}; + var x11: ${l} = getInputValue(batch, channel, row1, col1); + var x12: ${l} = getInputValue(batch, channel, row1, col2); + var x21: ${l} = getInputValue(batch, channel, row2, col1); + var x22: ${l} = getInputValue(batch, channel, row2, col2); + var dx1: ${l} = abs(row - ${l}(row1)); + var dx2: ${l} = abs(${l}(row2) - row); + var dy1: ${l} = abs(col - ${l}(col1)); + var dy2: ${l} = abs(${l}(col2) - col); + if (row1 == row2) { + dx1 = 0.5; + dx2 = 0.5; + } + if (col1 == col2) { + dy1 = 0.5; + dy2 = 0.5; + } + return (x11 * dx2 * dy2 + x12 * dx2 * dy1 + x21 * dx1 * dy2 + x22 * dx1 * dy1); + }`},Uh=(t,e,r,n,a,s,i,o,u,l)=>{let c=r.length===2,[h,m]=c?[0,1]:[2,3],_=t.type.value,p=y=>{let v=y===h?"row":"col";return` + fn ${v}CubicInterpolation(input_indices: ${t.type.indices}, output_indices: ${e.type.indices}) -> ${_} { + var output_index = ${e.indicesGet("output_indices",y)}; + var originalIdx: ${_} = getOriginalCoordinateFromResizedCoordinate(output_index, ${a[y]}, + ${n[y]}, ${r[y]}, ${s[y]}, ${s[y]} + ${r.length}); + var fractOriginalIdx: ${_} = originalIdx - floor(originalIdx); + var coefs = getCubicInterpolationCoefs(fractOriginalIdx); + + if (${o} && (originalIdx < 0 || originalIdx > (${r[y]} - 1))) { + return ${u}; + } + var data: array<${_}, 4> = array<${_}, 4>(0.0, 0.0, 0.0, 0.0); + for (var i: i32 = -1; i < 3; i++) { + var ${v}: ${_} = originalIdx + ${_}(i); + if (${v} < 0 || ${v} >= ${r[y]}) { + ${l?`coefs[i + 1] = 0.0; + continue;`:o?`return ${u};`:`${v} = max(0, min(${v}, ${r[y]} - 1));`}; + } + var input_indices_copy: ${t.type.indices} = input_indices; + ${t.indicesSet("input_indices_copy",y,`u32(${v})`)}; + data[i + 1] = ${y===h?t.getByIndices("input_indices_copy"):"rowCubicInterpolation(input_indices_copy, output_indices)"}; + } + return cubicInterpolation1D(data, coefs); + }`};return` + ${p(h)}; + ${p(m)}; + fn getCubicInterpolationCoefs(s: ${_}) -> array<${_}, 4> { + var absS = abs(s); + var coeffs: array<${_}, 4> = array<${_}, 4>(0.0, 0.0, 0.0, 0.0); + var oneMinusAbsS: ${_} = 1.0 - absS; + var twoMinusAbsS: ${_} = 2.0 - absS; + var onePlusAbsS: ${_} = 1.0 + absS; + coeffs[0] = ((${i} * onePlusAbsS - 5 * ${i}) * onePlusAbsS + 8 * ${i}) * onePlusAbsS - 4 * ${i}; + coeffs[1] = ((${i} + 2) * absS - (${i} + 3)) * absS * absS + 1; + coeffs[2] = ((${i} + 2) * oneMinusAbsS - (${i} + 3)) * oneMinusAbsS * oneMinusAbsS + 1; + coeffs[3] = ((${i} * twoMinusAbsS - 5 * ${i}) * twoMinusAbsS + 8 * ${i}) * twoMinusAbsS - 4 * ${i}; + return coeffs; + } + + fn cubicInterpolation1D(x: array<${_}, 4>, coefs: array<${_}, 4>) -> ${_} { + var coefsSum: ${_} = coefs[0] + coefs[1] + coefs[2] + coefs[3]; + return (x[0] * coefs[0] + x[1] * coefs[1]+ x[2] * coefs[2]+ x[3] * coefs[3]) / coefsSum; + } + + fn bicubicInterpolation(output_indices: ${e.type.indices}) -> ${_} { + var input_indices: ${t.type.indices} = output_indices; + return colCubicInterpolation(input_indices, output_indices); + } + `},Wh=(t,e,r,n,a)=>{let[s,i,o,u,l]=r.length===3?[-1,0,1,2,-1]:[0,2,3,4,1],c=t.type.value;return` + fn getInputValue(batch: u32, channel: u32, depth:u32, height: u32, width: u32) -> ${c} { + var input_indices: ${t.type.indices}; + ${t.indicesSet("input_indices",i,`max(0, min(depth, ${r[i]} - 1))`)}; + ${t.indicesSet("input_indices",o,`max(0, min(height, ${r[o]} - 1))`)}; + ${t.indicesSet("input_indices",u,`max(0, min(width, ${r[u]} - 1))`)}; + ${Eo(t,l,s,3)} + return ${t.getByIndices("input_indices")}; + } + + fn trilinearInterpolation(output_indices: ${e.type.indices}) -> ${c} { + var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices); + var depth:${c} = originalIndices[${i}]; + var height:${c} = originalIndices[${o}]; + var width:${c} = originalIndices[${u}]; + ${n?`if (depth < 0 || depth > (${r[i]} - 1) || height < 0 || height > (${r[o]} - 1) || width < 0 || (width > ${r[u]} - 1)) { + return ${a}; + }`:""}; + + depth = max(0, min(depth, ${r[i]} - 1)); + height = max(0, min(height, ${r[o]} - 1)); + width = max(0, min(width, ${r[u]} - 1)); + var depth1: u32 = u32(depth); + var height1: u32 = u32(height); + var width1: u32 = u32(width); + var depth2: u32 = u32(depth + 1); + var height2: u32 = u32(height + 1); + var width2: u32 = u32(width + 1); + var channel: u32 = ${r.length>3?`u32(originalIndices[${l}])`:"0"}; + var batch: u32 = ${r.length>3?`u32(originalIndices[${s}])`:"0"}; + + var x111: ${c} = getInputValue(batch, channel, depth1, height1, width1); + var x112: ${c} = getInputValue(batch, channel, depth1, height1, width2); + var x121: ${c} = getInputValue(batch, channel, depth1, height2, width1); + var x122: ${c} = getInputValue(batch, channel, depth1, height2, width2); + var x211: ${c} = getInputValue(batch, channel, depth2, height1, width1); + var x212: ${c} = getInputValue(batch, channel, depth2, height1, width2); + var x221: ${c} = getInputValue(batch, channel, depth2, height2, width1); + var x222: ${c} = getInputValue(batch, channel, depth2, height2, width2); + var dx1: ${c} = abs(depth - ${c}(depth1)); + var dx2: ${c} = abs(${c}(depth2) - depth); + var dy1: ${c} = abs(height - ${c}(height1)); + var dy2: ${c} = abs(${c}(height2) - height); + var dz1: ${c} = abs(width - ${c}(width1)); + var dz2: ${c} = abs(${c}(width2) - width); + if (depth1 == depth2) { + dx1 = 0.5; + dx2 = 0.5; + } + if (height1 == height2) { + dy1 = 0.5; + dy2 = 0.5; + } + if (width1 == width2) { + dz1 = 0.5; + dz2 = 0.5; + } + return (x111 * dx2 * dy2 * dz2 + x112 * dx2 * dy2 * dz1 + x121 * dx2 * dy1 *dz2 + x122 * dx2 * dy1 * dz1 + + x211 * dx1 * dy2 * dz2 + x212 * dx1 * dy2 * dz1 + x221 * dx1 * dy1 *dz2 + x222 * dx1 * dy1 * dz1); + }`},Vh=(t,e,r,n,a,s)=>{let i=t.dims,o=Rh(s,e.axes,i.length),u=Ph(i,n,a,e.axes),l=n.slice();n.length===0&&(l=i.map((x,C)=>x===0?1:u[C]/x),e.keepAspectRatioPolicy!=="stretch"&&(u=Bh(i,l,e)));let c=_e("output",t.dataType,u.length),h=Q("input",t.dataType,i.length),m=X.size(u),_=i.length===u.length&&i.every((x,C)=>x===u[C]),p=e.coordinateTransformMode==="tf_crop_and_resize",y=e.extrapolationValue,v=h.type.value,S=x=>` + ${_?"":` + ${Oh(e.coordinateTransformMode,v)}; + ${(()=>{switch(e.mode){case"nearest":return` + ${Fh(h,i)}; + ${zh(e.nearestMode,r,v)}; + ${Nh(h,c,i,u,l.length,o.length,p)}; + `;case"linear":return` + ${Dh(c,i,u,l.length,o.length)}; + ${(()=>{if(i.length===2||i.length===4)return`${Lh(h,c,i,p,y)}`;if(i.length===3||i.length===5)return`${Wh(h,c,i,p,y)}`;throw Error("Linear mode only supports input dims 2, 3, 4 and 5 are supported in linear mode.")})()}; + `;case"cubic":return` + ${(()=>{if(i.length===2||i.length===4)return`${Uh(h,c,i,u,l,o,e.cubicCoeffA,p,e.extrapolationValue,e.excludeOutside)}`;throw Error("Cubic mode only supports input dims 2 and 4 are supported in linear mode.")})()}; + `;default:throw Error("Invalid resize mode")}})()}; + `} + ${x.registerUniform("output_size","u32").registerUniform("scales","f32",l.length).registerUniform("roi","f32",o.length).declareVariables(h,c)} + ${x.mainStart()} + ${x.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + ${_?"output[global_idx] = input[global_idx];":` + let output_indices = ${c.offsetToIndices("global_idx")}; + var input_indices: ${h.type.indices}; + ${(()=>{switch(e.mode){case"nearest":return`input_indices = calculateInputIndicesFromOutputIndices(output_indices); + if (checkInputIndices(input_indices)) { + output[global_idx] = ${h.getByIndices("input_indices")}; + } else { + output[global_idx] = ${e.extrapolationValue}; + }`;case"linear":return`output[global_idx] = ${i.length===2||i.length===4?"bilinearInterpolation":"trilinearInterpolation"}(output_indices);`;case"cubic":return"output[global_idx] = bicubicInterpolation(output_indices);";default:throw Error(`Unsupported resize mode: ${e.mode}`)}})()}; +`} + }`;return{name:"Resize",shaderCache:{hint:`${e.cacheKey}|${r}|${l.length>0?l:""}|${a.length>0?a:""}|${o.length>0?o:""}|${_}|${i}`,inputDependencies:["rank"]},getShaderSource:S,getRunData:()=>({outputs:[{dims:u,dataType:t.dataType}],dispatchGroup:{x:Math.ceil(m/64)},programUniforms:[{type:12,data:m},{type:1,data:l},{type:1,data:o},...ye(i,u)]})}},Gh=t=>{let e=t.customDataBuffer;return new Uint32Array(e,e.byteOffset,1)[0]},Hh=(t,e)=>{let r=[],n=[],a=[],s=Gh(t);if(e.antialias!==0)throw Error("Only default value (0) for Antialias attribute is supported");Mh(t.inputs,e,s,r,n,a),t.compute(Vh(t.inputs[0],e,s,r,n,a),{inputs:[0]})},jh=t=>{let e=t.antialias,r=t.axes,n=t.coordinateTransformMode,a=t.cubicCoeffA,s=t.excludeOutside!==0,i=t.extrapolationValue,o=t.keepAspectRatioPolicy,u=t.mode,l=t.nearestMode===""?"simple":t.nearestMode;return Ke({antialias:e,axes:r,coordinateTransformMode:n,cubicCoeffA:a,excludeOutside:s,extrapolationValue:i,keepAspectRatioPolicy:o,mode:u,nearestMode:l})}}),qh,Kh,Yh,bw=ee(()=>{xe(),Oe(),dt(),Ae(),qh=(t,e)=>{let[r,n,a,s]=t,{numHeads:i,rotaryEmbeddingDim:o}=e;if(r.dims.length!==3&&r.dims.length!==4)throw new Error(`Input 'x' is expected to have 3 or 4 dimensions, got ${r.dims.length}`);if(!X.areEqual(n.dims,[])&&!X.areEqual(n.dims,[1])&&n.dims.length!==2)throw new Error(`Input 'position_ids' is expected to have 0, 1, or 2 dimensions, got ${n.dims.length}`);if(a.dims.length!==2)throw new Error(`Input 'cos_cache' is expected to have 2 dimensions, got ${a.dims.length}`);if(s.dims.length!==2)throw new Error(`Input 'sin_cache' is expected to have 2 dimensions, got ${s.dims.length}`);if(!X.areEqual(a.dims,s.dims))throw new Error("Inputs 'cos_cache' and 'sin_cache' are expected to have the same shape");if(o>0&&i===0)throw new Error("num_heads must be provided if rotary_embedding_dim is specified");let u=r.dims[0],l=r.dims[r.dims.length-2],c=a.dims[0],h=X.sizeFromDimension(r.dims,1)/l,m=o===0?a.dims[1]*2:h/i;if(o>m)throw new Error("rotary_embedding_dim must be less than or equal to head_size");if(n.dims.length===2){if(u!==n.dims[0])throw new Error(`Input 'position_ids' dimension 0 should be of size batch_size, got ${n.dims[0]}`);if(l!==n.dims[1])throw new Error(`Input 'position_ids' dimension 1 should be of size sequence_length, got ${n.dims[1]}`)}if(m/2!==a.dims[1]&&o/2!==a.dims[1])throw new Error(`Input 'cos_cache' dimension 1 should be same as head_size / 2 or rotary_embedding_dim / 2, got ${a.dims[1]}`);if(l>c)throw new Error("Updating cos_cache and sin_cache in RotaryEmbedding is not currently supported")},Kh=(t,e)=>{let{interleaved:r,numHeads:n,rotaryEmbeddingDim:a,scale:s}=e,i=t[0].dims[0],o=X.sizeFromDimension(t[0].dims,1),u=t[0].dims[t[0].dims.length-2],l=o/u,c=t[2].dims[1],h=a===0?c*2:l/n,m=new Array(i,u,l/h,h-c),_=X.computeStrides(m),p=[{type:1,data:s},{type:12,data:m},{type:12,data:_},...t[0].dims.length===3?new Array({type:12,data:[o,l,h,1]}):[],...t[0].dims.length===4?new Array({type:12,data:[o,h,u*h,1]}):[],...ye(t[0].dims,t[1].dims,t[2].dims,t[3].dims,t[0].dims)],y=v=>{let S=Q("input",t[0].dataType,t[0].dims.length),x=Q("position_ids",t[1].dataType,t[1].dims.length),C=Q("cos_cache",t[2].dataType,t[2].dims.length),T=Q("sin_cache",t[3].dataType,t[3].dims.length),I=_e("output",t[0].dataType,t[0].dims.length);return v.registerUniforms([{name:"scale",type:"f32"},{name:"global_shape",type:"u32",length:m.length},{name:"global_strides",type:"u32",length:_.length},{name:"input_output_strides",type:"u32",length:_.length}]),` + ${v.declareVariables(S,x,C,T,I)} + + ${v.mainStart(gn)} + let half_rotary_emb_dim = uniforms.${C.name}_shape[1]; + let bsnh = global_idx / uniforms.global_strides % uniforms.global_shape; + let size = uniforms.global_shape[0] * uniforms.global_strides[0]; + ${v.guardAgainstOutOfBoundsWorkgroupSizes("size")} + + if (bsnh[3] < half_rotary_emb_dim) { + let position_ids_idx = + ${x.broadcastedIndicesToOffset("bsnh.xy",_e("",x.type.tensor,2))}; + let position_id = + u32(${x.getByOffset("position_ids_idx")}) + select(0, bsnh[1], position_ids_idx == 0); + let i = dot(bsnh, uniforms.input_output_strides) + select(0, bsnh[3], ${r}); + let j = i + select(half_rotary_emb_dim, 1, ${r}); + let re = ${S.getByOffset("i")} * ${C.get("position_id","bsnh[3]")} - + ${S.getByOffset("j")} * ${T.get("position_id","bsnh[3]")}; + ${I.setByOffset("i","re")} + let im = ${S.getByOffset("i")} * ${T.get("position_id","bsnh[3]")} + + ${S.getByOffset("j")} * ${C.get("position_id","bsnh[3]")}; + ${I.setByOffset("j","im")} + } else { + let k = dot(bsnh, uniforms.input_output_strides) + half_rotary_emb_dim; + ${I.setByOffset("k",S.getByOffset("k"))} + } + }`};return{name:"RotaryEmbedding",shaderCache:{hint:Ke({interleaved:r}).cacheKey,inputDependencies:["rank","rank","rank","rank"]},getShaderSource:y,getRunData:()=>({outputs:[{dims:t[0].dims,dataType:t[0].dataType}],dispatchGroup:{x:Math.ceil(X.size(m)/gn)},programUniforms:p})}},Yh=(t,e)=>{qh(t.inputs,e),t.compute(Kh(t.inputs,e))}}),Xh,Qh,Jh,vw=ee(()=>{xe(),Oe(),Ae(),Xh=t=>{if(!t||t.length<3)throw new Error("layerNorm requires at least 3 inputs.");let e=t[0],r=t[1],n=t[2];if(e.dataType!==r.dataType||e.dataType!==n.dataType)throw new Error("All inputs must have the same data type");if(e.dims.length!==3&&e.dims.length!==2)throw new Error("Input must be 2D or 3D");if(r.dims.length!==3&&r.dims.length!==2)throw new Error("Skip must be 2D or 3D");let a=e.dims[e.dims.length-1],s=e.dims[e.dims.length-2];if(r.dims[r.dims.length-1]!==a)throw new Error("Skip must have the same hidden size as input");if(r.dims[r.dims.length-2]!==s)throw new Error("Skip must have the same sequence length as input");if(n.dims.length!==1)throw new Error("Gamma must be 1D");if(n.dims[n.dims.length-1]!==a)throw new Error("Gamma must have the same hidden size as input");if(t.length>3){let i=t[3];if(i.dims.length!==1)throw new Error("Beta must be 1D");if(i.dims[i.dims.length-1]!==a)throw new Error("Beta must have the same hidden size as input")}if(t.length>4){let i=t[4];if(i.dims.length!==1)throw new Error("Bias must be 1D");if(i.dims[i.dims.length-1]!==a)throw new Error("Bias must have the same hidden size as input")}},Qh=(t,e,r,n)=>{let a=e.simplified,s=t[0].dims,i=X.size(s),o=s,u=i,l=s.slice(-1)[0],c=n?s.slice(0,-1).concat(1):[],h=!a&&t.length>3,m=t.length>4,_=n&&r>1,p=n&&r>2,y=r>3,v=at(l),S=[{type:12,data:u},{type:12,data:v},{type:12,data:l},{type:1,data:e.epsilon}],x=T=>{let I=[{name:"output_size",type:"u32"},{name:"components",type:"u32"},{name:"hidden_size",type:"u32"},{name:"epsilon",type:"f32"}],R=[Q("x",t[0].dataType,t[0].dims,v),Q("skip",t[1].dataType,t[1].dims,v),Q("gamma",t[2].dataType,t[2].dims,v)];h&&R.push(Q("beta",t[3].dataType,t[3].dims,v)),m&&R.push(Q("bias",t[4].dataType,t[4].dims,v)),R.push(_e("output",t[0].dataType,o,v)),_&&R.push(_e("mean_output",1,c)),p&&R.push(_e("inv_std_output",1,c)),y&&R.push(_e("input_skip_bias_sum",t[0].dataType,o,v));let P=ft(t[0].dataType);return` + + ${T.registerUniforms(I).declareVariables(...R)} + + ${T.mainStart()} + ${T.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size / uniforms.hidden_size")} + let hidden_size_vectorized: u32 = uniforms.hidden_size / uniforms.components; + let offset = global_idx * hidden_size_vectorized; + var sum = ${yr("f32",v)}; + var squareSum = ${yr("f32",v)}; + for (var i: u32 = 0; i < hidden_size_vectorized; i++) { + let skip_value = skip[offset + i]; + let bias_value = ${m?"bias[i]":P+"(0.0)"}; + let input_value = x[offset + i]; + let value = input_value + skip_value + bias_value; + ${y?"input_skip_bias_sum[offset + i] = value;":""} + output[offset + i] = value; + let f32_value = ${_n(P,v,"value")}; + sum += f32_value; + squareSum += f32_value * f32_value; + } + let mean = ${Or("sum",v)} / f32(uniforms.hidden_size); + let inv_std_dev = inverseSqrt(${Or("squareSum",v)} / f32(uniforms.hidden_size) ${a?"":"- mean * mean"} + uniforms.epsilon); + ${_?"mean_output[global_idx] = mean;":""} + ${p?"inv_std_output[global_idx] = inv_std_dev;":""} + for (var i: u32 = 0; i < hidden_size_vectorized; i++) { + output[offset + i] = (output[offset + i] ${a?"":`- ${P}(mean)`}) * ${P}(inv_std_dev) * gamma[i] ${h?"+ beta[i]":""}; + } + }`},C=[{dims:o,dataType:t[0].dataType}];return r>1&&C.push({dims:c,dataType:1}),r>2&&C.push({dims:c,dataType:1}),r>3&&C.push({dims:s,dataType:t[0].dataType}),{name:"SkipLayerNormalization",shaderCache:{hint:`${v};${_};${p};${y}`,inputDependencies:t.map((T,I)=>"type")},getShaderSource:x,getRunData:()=>({outputs:C,dispatchGroup:{x:Math.ceil(u/l/64)},programUniforms:S})}},Jh=(t,e)=>{Xh(t.inputs);let r=[0];t.outputCount>1&&r.push(-3),t.outputCount>2&&r.push(-3),t.outputCount>3&&r.push(3),t.compute(Qh(t.inputs,e,t.outputCount,!1),{outputs:r})}}),Zh,ea,ef,Co,tf,rf,nf,af,$w=ee(()=>{xe(),Oe(),dt(),Ae(),Zh=(t,e)=>{if(!t||t.length<1)throw new Error("too few inputs");if(e.axes.length!==0){if(e.axes.length!==e.starts.length||e.axes.length!==e.ends.length)throw new Error("axes, starts and ends must have the same length")}else if(e.starts.length!==e.ends.length)throw new Error("starts and ends must have the same length");t.slice(1).forEach((r,n)=>{if(t[n+1].dataType!==6&&t[n+1].dataType!==7)throw new Error(`Input ${n} must be an array of int32 or int64`)})},ea=(t,e)=>{let r=[];if(t.length>e)if(t[e].dataType===7)t[e].getBigInt64Array().forEach(n=>r.push(Number(n)));else if(t[e].dataType===6)t[e].getInt32Array().forEach(n=>r.push(Number(n)));else throw new Error(`Input ${e} must be an array of int32 or int64`);return r},ef=(t,e)=>{if(t.length>1){let r=ea(t,1),n=ea(t,2),a=ea(t,3);return a.length===0&&(a=[...Array(t[0].dims.length).keys()]),Ke({starts:r,ends:n,axes:a})}else return e},Co=(t,e,r,n,a)=>{let s=t;return t<0&&(s+=r[n[e]]),a[e]<0?Math.max(0,Math.min(s,r[n[e]]-1)):Math.max(0,Math.min(s,r[n[e]]))},tf=(t,e,r)=>`fn calculateInputIndices(output_indices: ${e.type.indices}) -> ${t.type.indices} { + var input_indices: ${t.type.indices}; + var carry = 0u; + for (var i = ${r.length}; i >= 0; i--) { + let input_shape_i = ${ke("uniforms.input_shape","i",r.length)}; + let steps_i = ${ke("uniforms.steps","i",r.length)}; + let signs_i = ${ke("uniforms.signs","i",r.length)}; + let starts_i = ${ke("uniforms.starts","i",r.length)}; + var output_index = ${e.indicesGet("output_indices","i")}; + var input_index = output_index * steps_i + starts_i + carry; + carry = input_index / input_shape_i; + input_index = input_index % input_shape_i; + if (signs_i < 0) { + input_index = input_shape_i - input_index - 1u + starts_i; + } + ${t.indicesSet("input_indices","i","input_index")}; + } + return input_indices; + }`,rf=(t,e)=>{let r=t[0].dims,n=X.size(r),a=e.axes.length>0?X.normalizeAxes(e.axes,r.length):[...Array(r.length).keys()],s=ea(t,4);s.forEach(S=>S!==0||(()=>{throw new Error("step cannot be 0")})),s.length===0&&(s=Array(a.length).fill(1));let i=e.starts.map((S,x)=>Co(S,x,r,a,s)),o=e.ends.map((S,x)=>Co(S,x,r,a,s));if(a.length!==i.length||a.length!==o.length)throw new Error("start, ends and axes should have the same number of elements");if(a.length!==r.length)for(let S=0;SMath.sign(S));s.forEach((S,x,C)=>{if(S<0){let T=(o[x]-i[x])/S,I=i[x],R=I+T*s[x];i[x]=R,o[x]=I,C[x]=-S}});let l=r.slice(0);a.forEach((S,x)=>{l[S]=Math.ceil((o[S]-i[S])/s[S])});let c={dims:l,dataType:t[0].dataType},h=_e("output",t[0].dataType,l.length),m=Q("input",t[0].dataType,t[0].dims.length),_=X.size(l),p=[{name:"outputSize",type:"u32"},{name:"starts",type:"u32",length:i.length},{name:"signs",type:"i32",length:u.length},{name:"steps",type:"u32",length:s.length}],y=[{type:12,data:_},{type:12,data:i},{type:6,data:u},{type:12,data:s},...ye(t[0].dims,l)],v=S=>` + ${S.registerUniforms(p).declareVariables(m,h)} + ${tf(m,h,r)} + ${S.mainStart()} + ${S.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")} + let output_indices = ${h.offsetToIndices("global_idx")}; + let input_indices = calculateInputIndices(output_indices); + ${h.setByOffset("global_idx",m.getByIndices("input_indices"))} + }`;return{name:"Slice",shaderCache:{hint:`${u.length}_${i.length}_${s.length}`,inputDependencies:["rank"]},getShaderSource:v,getRunData:()=>({outputs:[c],dispatchGroup:{x:Math.ceil(n/64)},programUniforms:y})}},nf=(t,e)=>{Zh(t.inputs,e);let r=ef(t.inputs,e);t.compute(rf(t.inputs,r),{inputs:[0]})},af=t=>{let e=t.starts,r=t.ends,n=t.axes;return Ke({starts:e,ends:r,axes:n})}}),sf,of,uf,lf,xw=ee(()=>{xe(),Oe(),dt(),Ae(),sf=t=>{if(!t||t.length!==1)throw new Error("Softmax op requires 1 input.")},of=(t,e)=>{let r=t.dims,n=X.size(r),a=64,s=e.axis;if(s<0&&(s=r.length+s),sS===4?`max(max(${v}.x, ${v}.y), max(${v}.z, ${v}.w))`:S===2?`max(${v}.x, ${v}.y)`:S===3?`max(max(${v}.x, ${v}.y), ${v}.z)`:v,h=Q("x",t.dataType,t.dims,u),m=_e("result",t.dataType,t.dims,u),_=h.type.value,p=ft(t.dataType)==="f32"?`var threadMax = ${_}(-3.402823e+38f);`:`var threadMax = ${_}(-65504.0h);`,y=v=>` + var rowMaxShared : ${_}; + var rowSumShared : ${_}; + var threadShared : array<${_}, ${a}>; + + fn getValue(row: i32, col: i32, row_stride: i32) -> ${_} { + let index = row * row_stride + col; + return x[index]; + } + + fn setValue(row: i32, col: i32, row_stride: i32, value: ${_}) { + let index = row * row_stride + col; + result[index] = value; + } + ${v.registerUniform("packedCols","i32").declareVariables(h,m)} + ${v.mainStart()} + let gindex = i32(global_idx); + let lindex = i32(local_idx); + const wg = ${a}; + let row = gindex / wg; + let cols = uniforms.packedCols; + let row_stride : i32 = uniforms.packedCols; + + // find the rows max + ${p} + for (var col = lindex; col < cols; col += wg) { + let value = getValue(row, col, row_stride); + threadMax = max(threadMax, value); + } + if (lindex < cols) { + threadShared[lindex] = threadMax; + } + workgroupBarrier(); + + var reduceSize = min(cols, wg); + for (var currSize = reduceSize >> 1; currSize > 0; currSize = reduceSize >> 1) { + reduceSize = currSize + (reduceSize & 1); + if (lindex < currSize) { + threadShared[lindex] = max(threadShared[lindex], threadShared[lindex + reduceSize]); + } + workgroupBarrier(); + } + if (lindex == 0) { + rowMaxShared = ${_}(${c("threadShared[0]",u)}); + } + workgroupBarrier(); + + // find the rows sum + var threadSum = ${_}(0.0); + for (var col = lindex; col < cols; col += wg) { + let subExp = exp(getValue(row, col, row_stride) - rowMaxShared); + threadSum += subExp; + } + threadShared[lindex] = threadSum; + workgroupBarrier(); + + for (var currSize = wg >> 1; currSize > 0; currSize = currSize >> 1) { + if (lindex < currSize) { + threadShared[lindex] = threadShared[lindex] + threadShared[lindex + currSize]; + } + workgroupBarrier(); + } + if (lindex == 0) { + rowSumShared = ${_}(${Or("threadShared[0]",u)}); + } + workgroupBarrier(); + + // calculate final value for each element in the row + for (var col = lindex; col < cols; col += wg) { + let value = exp(getValue(row, col, row_stride) - rowMaxShared) / rowSumShared; + setValue(row, col, row_stride, value); + } + }`;return{name:"Softmax",shaderCache:{hint:`${u}`,inputDependencies:["type"]},getRunData:()=>({outputs:[{dims:r,dataType:t.dataType}],dispatchGroup:{x:o},programUniforms:[{type:6,data:l}]}),getShaderSource:y}},uf=(t,e)=>{sf(t.inputs),t.compute(of(t.inputs[0],e))},lf=t=>Ke({axis:t.axis})}),df,cf,pf,hf,ff,mf,gf,Sw=ee(()=>{xe(),Oe(),dt(),Ae(),df=t=>{if(!t||t.length<1)throw new Error("too few inputs")},cf=(t,e)=>{let r=[],n=e.numOutputs;return t[1].dims[0]>0&&(t[1].getBigInt64Array().forEach(a=>r.push(Number(a))),n=r.length),Ke({numOutputs:n,axis:e.axis,splitSizes:r})},pf=t=>` +fn calculateOutputIndex(index: u32) -> u32 { + for (var i: u32 = 0u; i < ${t}u; i += 1u ) { + if (index < ${ke("uniforms.size_in_split_axis","i",t)}) { + return i; + } + } + return ${t}u; +}`,hf=t=>{let e=t.length,r=[];for(let n=0;n{let r=t[0].dims,n=X.size(r),a=t[0].dataType,s=X.normalizeAxis(e.axis,r.length),i=new Array(e.numOutputs),o=Q("input",a,r.length),u=new Array(e.numOutputs),l=[],c=[],h=0,m=[{type:12,data:n}];for(let p=0;p` + ${p.registerUniform("input_size","u32").registerUniform("size_in_split_axis","u32",u.length).declareVariables(o,...i)} + ${pf(u.length)} + ${hf(i)} + + ${p.mainStart()} + ${p.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.input_size")} + + var indices = ${o.offsetToIndices("global_idx")}; + var index = ${o.indicesGet("indices",s)}; + let output_number = calculateOutputIndex(index); + if (output_number != 0) { + index -= ${ke("uniforms.size_in_split_axis","output_number - 1u",u.length)}; + ${o.indicesSet("indices",s,"index")}; + } + writeBufferData(output_number, indices, global_idx); + }`;return{name:"Split",shaderCache:{hint:e.cacheKey,inputDependencies:["rank"]},getShaderSource:_,getRunData:()=>({outputs:l,dispatchGroup:{x:Math.ceil(n/64)},programUniforms:m})}},mf=(t,e)=>{df(t.inputs);let r=t.inputs.length===1?e:cf(t.inputs,e);t.compute(ff(t.inputs,r),{inputs:[0]})},gf=t=>{let e=t.axis,r=t.splitSizes,n=t.numOutputs<0?r.length:t.numOutputs;if(n!==r.length)throw new Error("numOutputs and splitSizes lengh must be equal");return Ke({axis:e,numOutputs:n,splitSizes:r})}}),To,_f,wf,yf,bf,kw=ee(()=>{xe(),Oe(),Ae(),To=t=>Array.from(t.getBigInt64Array(),Number),_f=t=>{if(!t||t.length!==2)throw new Error("Tile requires 2 inputs.");if(t[0].dataType!==1&&t[0].dataType!==6&&t[0].dataType!==12)throw new Error("Tile only support float, int32, and uint32 data types");if(t[1].dataType!==7)throw new Error("Tile `repeats` input should be of int64 data type");if(t[1].dims.length!==1)throw new Error("Tile `repeats` input should be 1-D");if(To(t[1]).length!==t[0].dims.length)throw new Error("Tile `repeats` input should have same number of elements as rank of input data tensor")},wf=(t,e)=>{let r=[];for(let n=0;n{let e=t[0].dims,r=To(t[1]),n=wf(e,r),a=X.size(n),s=t[0].dataType,i=Q("input",s,e.length),o=_e("output",s,n.length),u=l=>` + const inputShape = ${i.indices(...e)}; + ${l.registerUniform("output_size","u32").declareVariables(i,o)} + ${l.mainStart()} + ${l.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")} + let output_indices = ${o.offsetToIndices("global_idx")}; + var input_indices: ${i.type.indices}; + for (var i = 0; i < ${e.length}; i++) { + let input_dim_i = ${i.indicesGet("uniforms.input_shape","i")}; + let input_dim_value = ${o.indicesGet("output_indices","i")} % input_dim_i; + + ${i.indicesSet("input_indices","i","input_dim_value")} + } + ${o.setByOffset("global_idx",i.getByIndices("input_indices"))} + }`;return{name:"Tile",shaderCache:{hint:`${r}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:n,dataType:t[0].dataType}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:[{type:12,data:a},...ye(t[0].dims,n)]}),getShaderSource:u}},bf=t=>{_f(t.inputs),t.compute(yf(t.inputs),{inputs:[0]})}}),vf,$f,xf,Ew=ee(()=>{xe(),Oe(),Ae(),vf=(t,e,r,n,a)=>{let s=_e("output_data",a,r.length,4),i=Q("a_data",e[1].dataType,e[1].dims.length,4),o=Q("b_data",e[2].dataType,e[2].dims.length,4),u=Q("c_data",e[0].dataType,e[0].dims.length,4),l,c=(h,m,_)=>`select(${m}, ${h}, ${_})`;if(!n)l=s.setByOffset("global_idx",c(i.getByOffset("global_idx"),o.getByOffset("global_idx"),u.getByOffset("global_idx")));else{let h=(m,_,p="")=>{let y=`a_data[index_a${_}][component_a${_}]`,v=`b_data[index_b${_}][component_b${_}]`,S=`bool(c_data[index_c${_}] & (0xffu << (component_c${_} * 8)))`;return` + let output_indices${_} = ${s.offsetToIndices(`global_idx * 4u + ${_}u`)}; + let offset_a${_} = ${i.broadcastedIndicesToOffset(`output_indices${_}`,s)}; + let offset_b${_} = ${o.broadcastedIndicesToOffset(`output_indices${_}`,s)}; + let offset_c${_} = ${u.broadcastedIndicesToOffset(`output_indices${_}`,s)}; + let index_a${_} = offset_a${_} / 4u; + let index_b${_} = offset_b${_} / 4u; + let index_c${_} = offset_c${_} / 4u; + let component_a${_} = offset_a${_} % 4u; + let component_b${_} = offset_b${_} % 4u; + let component_c${_} = offset_c${_} % 4u; + ${m}[${_}] = ${p}(${c(y,v,S)}); + `};a===9?l=` + var data = vec4(0); + ${h("data",0,"u32")} + ${h("data",1,"u32")} + ${h("data",2,"u32")} + ${h("data",3,"u32")} + output_data[global_idx] = dot(vec4(0x1, 0x100, 0x10000, 0x1000000), vec4(data));`:l=` + ${h("output_data[global_idx]",0)} + ${h("output_data[global_idx]",1)} + ${h("output_data[global_idx]",2)} + ${h("output_data[global_idx]",3)} + `}return` + ${t.registerUniform("vec_size","u32").declareVariables(u,i,o,s)} + ${t.mainStart()} + ${t.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")} + ${l} + }`},$f=t=>{let e=t[1].dims,r=t[2].dims,n=t[0].dims,a=t[1].dataType,s=!(X.areEqual(e,r)&&X.areEqual(r,n)),i=e,o=X.size(e);if(s){let l=mn.calcShape(mn.calcShape(e,r,!1),n,!1);if(!l)throw new Error("Can't perform where op on the given tensors");i=l,o=X.size(i)}let u=Math.ceil(o/4);return{name:"Where",shaderCache:{inputDependencies:["rank","rank","rank"]},getShaderSource:l=>vf(l,t,i,s,a),getRunData:()=>({outputs:[{dims:i,dataType:a}],dispatchGroup:{x:Math.ceil(o/64/4)},programUniforms:[{type:12,data:u},...ye(n,e,r,i)]})}},xf=t=>{t.compute($f(t.inputs))}}),Sf,Cw=ee(()=>{K0(),Pd(),Y0(),X0(),Q0(),J0(),Td(),ep(),nw(),aw(),iw(),sw(),ow(),uw(),lw(),dw(),cw(),pw(),hw(),Xc(),fw(),mw(),gw(),_w(),ww(),qs(),yw(),bw(),vw(),$w(),xw(),Sw(),kw(),Qn(),Zs(),Ew(),Sf=new Map([["Abs",[Gd]],["Acos",[Hd]],["Acosh",[jd]],["Add",[Ac]],["ArgMax",[$d,Ys]],["ArgMin",[vd,Ys]],["Asin",[qd]],["Asinh",[Kd]],["Atan",[Yd]],["Atanh",[Xd]],["Attention",[Rd]],["AveragePool",[yh,wh]],["BatchNormalization",[Fd]],["BiasAdd",[Wd]],["BiasSplitGelu",[Cc]],["Cast",[Jd,Qd]],["Ceil",[tc]],["Clip",[ec]],["Concat",[Ed,Cd]],["Conv",[co,lo]],["ConvTranspose",[pp,op]],["Cos",[rc]],["Cosh",[nc]],["CumSum",[fp,mp]],["DepthToSpace",[yp,bp]],["Div",[Mc]],["Einsum",[Ep,Cp]],["Elu",[ac,pi]],["Equal",[Oc]],["Erf",[ic]],["Exp",[sc]],["Expand",[Mp]],["FastGelu",[zp]],["Floor",[oc]],["FusedConv",[co,lo]],["Gather",[Dp,Bp]],["GatherElements",[Up,Lp]],["Gelu",[uc]],["Gemm",[Hp,Gp]],["GlobalAveragePool",[vh,bh]],["GlobalMaxPool",[kh,Sh]],["Greater",[Bc]],["GreaterOrEqual",[Nc]],["HardSigmoid",[gc,mc]],["InstanceNormalization",[Yp]],["LayerNormalization",[Jp]],["LeakyRelu",[lc,pi]],["Less",[Dc]],["LessOrEqual",[Fc]],["Log",[Sc]],["MatMul",[Yc]],["MatMulNBits",[th,rh]],["MaxPool",[$h,xh]],["Mul",[zc]],["MultiHeadAttention",[sh,ah]],["Neg",[cc]],["Not",[dc]],["Pad",[mh]],["Pow",[Rc]],["Range",[Th]],["Reciprocal",[pc]],["ReduceMin",[gd]],["ReduceMean",[cd]],["ReduceMax",[md]],["ReduceSum",[wd]],["ReduceProd",[_d]],["ReduceL1",[pd]],["ReduceL2",[hd]],["ReduceLogSum",[bd]],["ReduceLogSumExp",[fd]],["ReduceSumSquare",[yd]],["Relu",[hc]],["Resize",[Hh,jh]],["RotaryEmbedding",[Yh]],["Sigmoid",[fc]],["Sin",[_c]],["Sinh",[wc]],["Slice",[nf,af]],["SkipLayerNormalization",[Jh]],["Split",[mf,gf]],["Sqrt",[yc]],["Softmax",[uf,lf]],["Sub",[Pc]],["Tan",[bc]],["Tanh",[vc]],["ThresholdedRelu",[xc,pi]],["Tile",[bf]],["Transpose",[Ol,zl]],["Where",[xf]]])}),kf,Tw=ee(()=>{Yt(),Hr(),Ae(),kf=class{constructor(t){this.backend=t,this.repo=new Map,this.attributesBound=!1}getArtifact(t){return this.repo.get(t)}setArtifact(t,e){this.repo.set(t,e)}run(t,e,r,n,a){Kt(t.programInfo.name);let s=this.backend.device,i=this.backend.getComputePassEncoder();this.backend.writeTimestamp(this.backend.pendingDispatchNumber*2);let o=[];for(let l of e)o.push({binding:o.length,resource:{buffer:l.buffer}});for(let l of r)o.push({binding:o.length,resource:{buffer:l.buffer}});a&&o.push({binding:o.length,resource:a});let u=s.createBindGroup({layout:t.computePipeline.getBindGroupLayout(0),entries:o,label:t.programInfo.name});if(this.backend.sessionStatus==="capturing"){let l={kernelId:this.backend.currentKernelId,computePipeline:t.computePipeline,bindGroup:u,dispatchGroup:n};this.backend.capturedCommandList.get(this.backend.currentSessionId).push(l)}i.setPipeline(t.computePipeline),i.setBindGroup(0,u),i.dispatchWorkgroups(...n),this.backend.writeTimestamp(this.backend.pendingDispatchNumber*2+1),this.backend.pendingDispatchNumber++,(this.backend.pendingDispatchNumber>=this.backend.maxDispatchNumber||this.backend.queryType==="at-passes")&&this.backend.endComputePass(),this.backend.pendingDispatchNumber>=this.backend.maxDispatchNumber&&this.backend.flush(),Wt(t.programInfo.name)}dispose(){}build(t,e){Kt(t.name);let r=this.backend.device,n=[];r.features.has("shader-f16")&&n.push("enable f16;");let a=Tl(e,this.backend.device.limits),s=t.getShaderSource(a),i=`${n.join(` +`)} +${a.additionalImplementations} +${s}`,o=r.createShaderModule({code:i,label:t.name});tt("verbose",()=>`[WebGPU] ${t.name} shader code: ${i}`);let u=r.createComputePipeline({compute:{module:o,entryPoint:"main"},layout:"auto",label:t.name});return Wt(t.name),{programInfo:t,computePipeline:u,uniformVariablesInfo:a.variablesInfo}}normalizeDispatchGroupSize(t){let e=typeof t=="number"?t:t.x,r=typeof t=="number"?1:t.y||1,n=typeof t=="number"?1:t.z||1,a=this.backend.device.limits.maxComputeWorkgroupsPerDimension;if(e<=a&&r<=a&&n<=a)return[e,r,n];let s=e*r*n,i=Math.ceil(Math.sqrt(s));if(i>a){if(i=Math.ceil(Math.cbrt(s)),i>a)throw new Error("Total dispatch size exceeds WebGPU maximum.");return[i,i,i]}else return[i,i,1]}}}),Ef,Cf,Tf,If,Iw=ee(()=>{Yt(),xe(),Hr(),H0(),j0(),Cw(),Tw(),Ef=(t,e)=>{if(e.length!==t.length)throw new Error(`inputDependencies length ${e.length} is not equal to inputTensors length ${t.length}.`);let r=[];for(let n=0;n{var a,s;let n=t.name;return(a=t.shaderCache)!=null&&a.hint&&(n+="["+t.shaderCache.hint+"]"),n+=":"+r+`:${Ef(e,((s=t.shaderCache)==null?void 0:s.inputDependencies)??new Array(e.length).fill("dims"))}`,n},Tf=class{constructor(t){t&&(this.architecture=t.architecture,this.vendor=t.vendor)}isArchitecture(t){return this.architecture===t}isVendor(t){return this.vendor===t}},If=class{constructor(){this.currentSessionId=null,this.currentKernelId=null,this.commandEncoder=null,this.computePassEncoder=null,this.maxDispatchNumber=16,this.pendingDispatchNumber=0,this.pendingKernels=[],this.pendingQueries=new Map,this.sessionStatus="default",this.capturedCommandList=new Map,this.capturedPendingKernels=new Map,this.sessionExternalDataMapping=new Map}get currentKernelCustomData(){if(this.currentKernelId===null)throw new Error("currentKernelCustomData(): currentKernelId is null. (should not happen)");let t=this.kernelCustomData.get(this.currentKernelId);return t||(t={},this.kernelCustomData.set(this.currentKernelId,t)),t}async initialize(t,e){this.env=t;let r=[],n={requiredLimits:{maxComputeWorkgroupStorageSize:e.limits.maxComputeWorkgroupStorageSize,maxComputeWorkgroupsPerDimension:e.limits.maxComputeWorkgroupsPerDimension,maxStorageBufferBindingSize:e.limits.maxStorageBufferBindingSize,maxBufferSize:e.limits.maxBufferSize,maxComputeInvocationsPerWorkgroup:e.limits.maxComputeInvocationsPerWorkgroup,maxComputeWorkgroupSizeX:e.limits.maxComputeWorkgroupSizeX,maxComputeWorkgroupSizeY:e.limits.maxComputeWorkgroupSizeY,maxComputeWorkgroupSizeZ:e.limits.maxComputeWorkgroupSizeZ},requiredFeatures:r};e.features.has("chromium-experimental-timestamp-query-inside-passes")?r.push("chromium-experimental-timestamp-query-inside-passes"):e.features.has("timestamp-query")&&r.push("timestamp-query"),e.features.has("shader-f16")&&r.push("shader-f16"),this.device=await e.requestDevice(n),this.adapterInfo=new Tf(await e.requestAdapterInfo()),this.gpuDataManager=xl(this),this.programManager=new kf(this),this.kernels=new Map,this.kernelPersistentData=new Map,this.kernelCustomData=new Map,_l(t.logLevel,!!t.debug),this.device.onuncapturederror=a=>{a.error instanceof GPUValidationError&&console.error(`An uncaught WebGPU validation error was raised: ${a.error.message}`)},Object.defineProperty(this.env.webgpu,"device",{value:this.device,writable:!1,enumerable:!0,configurable:!1}),Object.defineProperty(this.env.webgpu,"adapter",{value:e,writable:!1,enumerable:!0,configurable:!1}),this.setQueryType()}dispose(){typeof this.querySet<"u"&&this.querySet.destroy(),this.gpuDataManager.dispose()}getCommandEncoder(){return this.commandEncoder||(this.commandEncoder=this.device.createCommandEncoder()),this.commandEncoder}getComputePassEncoder(){if(!this.computePassEncoder){let t=this.getCommandEncoder(),e={};this.queryType==="at-passes"&&(e.timestampWrites={querySet:this.querySet,beginningOfPassWriteIndex:this.pendingDispatchNumber*2,endOfPassWriteIndex:this.pendingDispatchNumber*2+1}),this.computePassEncoder=t.beginComputePass(e)}return this.computePassEncoder}endComputePass(){this.computePassEncoder&&(this.computePassEncoder.end(),this.computePassEncoder=null)}flush(){if(!this.commandEncoder)return;Kt(),this.endComputePass();let t;this.queryType!=="none"&&(this.commandEncoder.resolveQuerySet(this.querySet,0,this.pendingDispatchNumber*2,this.queryResolveBuffer,0),t=this.device.createBuffer({size:this.pendingDispatchNumber*2*8,usage:GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST}),this.pendingQueries.set(t,this.pendingKernels),this.pendingKernels=[],this.commandEncoder.copyBufferToBuffer(this.queryResolveBuffer,0,t,0,this.pendingDispatchNumber*2*8)),this.device.queue.submit([this.commandEncoder.finish()]),this.gpuDataManager.refreshPendingBuffers(),this.commandEncoder=null,this.pendingDispatchNumber=0,this.queryType!=="none"&&t.mapAsync(GPUMapMode.READ).then(()=>{var n;let e=new BigUint64Array(t.getMappedRange()),r=this.pendingQueries.get(t);for(let a=0;a"u"&&(this.queryTimeBase=_);let y=Number(_-this.queryTimeBase),v=Number(p-this.queryTimeBase);if(!Number.isSafeInteger(y)||!Number.isSafeInteger(v))throw new RangeError("incorrect timestamp range");if((n=this.env.webgpu.profiling)!=null&&n.ondata)this.env.webgpu.profiling.ondata({version:1,inputsMetadata:h.map(S=>({dims:S.dims,dataType:Gr(S.dataType)})),outputsMetadata:m.map(S=>({dims:S.dims,dataType:Gr(S.dataType)})),kernelId:i,kernelType:u,kernelName:l,programName:c,startTime:y,endTime:v});else{let S="";h.forEach((C,T)=>{S+=`input[${T}]: [${C.dims}] | ${Gr(C.dataType)}, `});let x="";m.forEach((C,T)=>{x+=`output[${T}]: [${C.dims}] | ${Gr(C.dataType)}, `}),console.log(`[profiling] kernel "${i}|${u}|${l}|${c}" ${S}${x}execution time: ${v-y} ns`)}jn("GPU",`${c}::${_}::${p}`)}t.unmap(),this.pendingQueries.delete(t)}),Wt()}run(t,e,r,n,a,s){Kt(t.name);let i=[];for(let x=0;xC):r;if(c.length!==o.length)throw new Error(`Output size ${c.length} must be equal to ${o.length}.`);let h=[],m=[];for(let x=0;x=s)throw new Error(`Invalid output index: ${c[x]}`);if(c[x]===-3)continue;let C=c[x]===-1,T=c[x]===-2,I=C||T?a(o[x].dataType,o[x].dims):n(c[x],o[x].dataType,o[x].dims);if(h.push(I),I.data===0)continue;let R=this.gpuDataManager.get(I.data);if(!R)throw new Error(`no GPU data for output: ${I.data}`);if(C&&this.temporaryData.push(R),T){let P=this.kernelPersistentData.get(this.currentKernelId);P||(P=[],this.kernelPersistentData.set(this.currentKernelId,P)),P.push(R)}m.push(R)}if(i.length!==e.length||m.length!==h.length){if(m.length===0)return Wt(t.name),h;throw new Error(`Program ${t.name} has zero-sized tensor(s) in inputs or outputs. This is not supported now.`)}let _;if(l){let x=0,C=[];l.forEach(P=>{let G=typeof P.data=="number"?[P.data]:P.data;if(G.length===0)return;let j=P.type===10?2:4,K,he;P.type===10?(he=G.length>4?16:G.length>2?8:G.length*j,K=G.length>4?16:j*G.length):(he=G.length<=2?G.length*j:16,K=16),x=Math.ceil(x/he)*he,C.push(x);let ne=P.type===10?8:4;x+=G.length>4?Math.ceil(G.length/ne)*K:G.length*j});let T=16;x=Math.ceil(x/T)*T;let I=new ArrayBuffer(x);l.forEach((P,G)=>{let j=C[G],K=typeof P.data=="number"?[P.data]:P.data;if(P.type===6)new Int32Array(I,j,K.length).set(K);else if(P.type===12)new Uint32Array(I,j,K.length).set(K);else if(P.type===10)new Uint16Array(I,j,K.length).set(K);else if(P.type===1)new Float32Array(I,j,K.length).set(K);else throw new Error(`Unsupported uniform type: ${Gr(P.type)}`)});let R=this.gpuDataManager.create(x,GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM);this.device.queue.writeBuffer(R.buffer,0,I,0,x),this.gpuDataManager.release(R.id),_={offset:0,size:x,buffer:R.buffer}}let p=this.programManager.normalizeDispatchGroupSize(u),y=p[1]===1&&p[2]===1,v=Cf(t,e,y),S=this.programManager.getArtifact(v);if(S||(S=this.programManager.build(t,p),this.programManager.setArtifact(v,S),tt("info",()=>`[artifact] key: ${v}, programName: ${t.name}`)),l&&S.uniformVariablesInfo){if(l.length!==S.uniformVariablesInfo.length)throw new Error(`Uniform variables count mismatch: expect ${S.uniformVariablesInfo.length}, got ${l.length} in program "${S.programInfo.name}".`);for(let x=0;x`[ProgramManager] run "${t.name}" (key=${v}) with ${p[0]}x${p[1]}x${p[2]}`),this.queryType!=="none"||this.sessionStatus==="capturing"){let x={kernelId:this.currentKernelId,programName:S.programInfo.name,inputTensorViews:e,outputTensorViews:h};this.pendingKernels.push(x),this.sessionStatus==="capturing"&&this.capturedPendingKernels.get(this.currentSessionId).push(x)}return this.programManager.run(S,i,m,p,_),Wt(t.name),h}upload(t,e){this.gpuDataManager.upload(t,e)}memcpy(t,e){this.gpuDataManager.memcpy(t,e)}async download(t,e){await this.gpuDataManager.download(t,e)}alloc(t){return this.gpuDataManager.create(t).id}free(t){return this.gpuDataManager.release(t)}createKernel(t,e,r,n){let a=Sf.get(t);if(!a)throw new Error(`kernel not implemented: ${t}`);let s={kernelType:t,kernelName:n,kernelEntry:a[0],attributes:[a[1],r]};this.kernels.set(e,s)}releaseKernel(t){let e=this.kernelPersistentData.get(t);if(e){for(let r of e)this.gpuDataManager.release(r.id);this.kernelPersistentData.delete(t)}this.kernelCustomData.delete(t),this.kernels.delete(t)}computeKernel(t,e,r){let n=this.kernels.get(t);if(!n)throw new Error(`kernel not created: ${t}`);let a=n.kernelType,s=n.kernelName,i=n.kernelEntry,o=n.attributes;if(this.currentKernelId!==null)throw new Error(`kernel "[${a}] ${s}" is not allowed to be called recursively`);this.currentKernelId=t,o[0]&&(o[1]=o[0](o[1]),o[0]=void 0),tt("info",()=>`[WebGPU] Start to run kernel "[${a}] ${s}"...`);let u=this.env.debug;this.temporaryData=[];try{return u&&this.device.pushErrorScope("validation"),i(e,o[1]),0}catch(l){return r.push(Promise.resolve(`[WebGPU] Kernel "[${a}] ${s}" failed. ${l}`)),1}finally{u&&r.push(this.device.popErrorScope().then(l=>l?`GPU validation error for kernel "[${a}] ${s}": ${l.message}`:null));for(let l of this.temporaryData)this.gpuDataManager.release(l.id);this.temporaryData=[],this.currentKernelId=null}}registerBuffer(t,e,r,n){let a=this.sessionExternalDataMapping.get(t);a||(a=new Map,this.sessionExternalDataMapping.set(t,a));let s=a.get(e),i=this.gpuDataManager.registerExternalBuffer(r,n,s==null?void 0:s[1]);return a.set(e,[i,r]),i}unregisterBuffers(t){let e=this.sessionExternalDataMapping.get(t);e&&(e.forEach(r=>this.gpuDataManager.unregisterExternalBuffer(r[1])),this.sessionExternalDataMapping.delete(t))}getBuffer(t){let e=this.gpuDataManager.get(t);if(!e)throw new Error(`no GPU data for buffer: ${t}`);return e.buffer}createDownloader(t,e,r){return async()=>{let n=await Us(this,t,e);return yl(n.buffer,r)}}writeTimestamp(t){this.queryType==="inside-passes"&&this.computePassEncoder.writeTimestamp(this.querySet,t)}setQueryType(){var t;this.queryType="none",(((t=this.env.webgpu.profiling)==null?void 0:t.mode)==="default"||(typeof this.env.trace>"u"?this.env.wasm.trace:this.env.trace))&&(this.device.features.has("chromium-experimental-timestamp-query-inside-passes")?this.queryType="inside-passes":this.device.features.has("timestamp-query")&&(this.queryType="at-passes"),this.queryType!=="none"&&typeof this.querySet>"u"&&(this.querySet=this.device.createQuerySet({type:"timestamp",count:this.maxDispatchNumber*2}),this.queryResolveBuffer=this.device.createBuffer({size:this.maxDispatchNumber*2*8,usage:GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE})))}captureBegin(){tt("info","captureBegin"),this.capturedCommandList.get(this.currentSessionId)||this.capturedCommandList.set(this.currentSessionId,[]),this.capturedPendingKernels.get(this.currentSessionId)||this.capturedPendingKernels.set(this.currentSessionId,[]),this.flush(),this.sessionStatus="capturing"}captureEnd(){tt("info","captureEnd"),this.flush(),this.sessionStatus="default"}replay(){tt("info","replay"),this.sessionStatus="replaying";let t=this.capturedCommandList.get(this.currentSessionId),e=this.capturedPendingKernels.get(this.currentSessionId),r=t.length;this.pendingKernels=[];for(let n=0;n=this.maxDispatchNumber||this.queryType==="at-passes")&&this.endComputePass(),this.pendingDispatchNumber>=this.maxDispatchNumber&&this.flush()}this.flush(),this.sessionStatus="default"}onReleaseSession(t){this.unregisterBuffers(t),this.capturedCommandList.has(t)&&this.capturedCommandList.delete(t),this.capturedPendingKernels.has(t)&&this.capturedPendingKernels.delete(t),this.gpuDataManager.onReleaseSession(t)}onRunStart(t){this.currentSessionId=t,this.setQueryType()}}}),Af={};fn(Af,{init:()=>Of});var vi,Mf,Of,Aw=ee(()=>{xe(),Iw(),Hr(),Oe(),vi=class J_{constructor(e,r,n,a){this.module=e,this.dataType=r,this.data=n,this.dims=a}getFloat32Array(){if(this.dataType!==1)throw new Error("Invalid data type");let e=X.size(this.dims);return e===0?new Float32Array:new Float32Array(this.module.HEAP8.buffer,this.data,e)}getBigInt64Array(){if(this.dataType!==7)throw new Error("Invalid data type");let e=X.size(this.dims);return e===0?new BigInt64Array:new BigInt64Array(this.module.HEAP8.buffer,this.data,e)}getInt32Array(){if(this.dataType!==6)throw new Error("Invalid data type");let e=X.size(this.dims);return e===0?new Int32Array:new Int32Array(this.module.HEAP8.buffer,this.data,e)}reshape(e){if(X.size(e)!==X.size(this.dims))throw new Error("Invalid new shape");return new J_(this.module,this.dataType,this.data,e)}},Mf=class{constructor(t,e,r){this.module=t,this.backend=e,this.customDataOffset=0,this.customDataSize=0,this.adapterInfo=e.adapterInfo;let n=t.HEAPU32,a=r>>>2;this.opKernelContext=n[a++];let s=n[a++];this.outputCount=n[a++],this.customDataOffset=n[a++],this.customDataSize=n[a++];let i=[];for(let o=0;otypeof o=="number"?this.inputs[o]:o))??this.inputs,n=(e==null?void 0:e.outputs)??[],a=(o,u,l)=>new vi(this.module,u,this.output(o,l),l),s=(o,u)=>{let l=Yn(o);if(!l)throw new Error(`Unsupported data type: ${o}`);let c=l*X.size(u),h=c>0?this.backend.gpuDataManager.create(c).id:0;return new vi(this.module,o,h,u)};return this.backend.run(t,r,n,a,s,this.outputCount)}output(t,e){let r=this.module.stackSave();try{let n=this.module.stackAlloc((1+e.length)*4),a=n>>2;this.module.HEAPU32[a++]=e.length;for(let s=0;s{let a=e.jsepInit;if(!a)throw new Error("Failed to initialize JSEP. The WebAssembly module is not built with JSEP support.");if(t==="webgpu"){let s=new If;await s.initialize(r,n),a("webgpu",[s,i=>s.alloc(i),i=>s.free(i),(i,o,u,l=!1)=>{if(l)tt("verbose",()=>`[WebGPU] jsepCopyGpuToGpu: src=${i}, dst=${o}, size=${u}`),s.memcpy(i,o);else{tt("verbose",()=>`[WebGPU] jsepCopyCpuToGpu: dataOffset=${i}, gpuDataId=${o}, size=${u}`);let c=e.HEAPU8.subarray(i>>>0,(i>>>0)+u);s.upload(o,c)}},async(i,o,u)=>{tt("verbose",()=>`[WebGPU] jsepCopyGpuToCpu: gpuDataId=${i}, dataOffset=${o}, size=${u}`),await s.download(i,()=>e.HEAPU8.subarray(o>>>0,(o>>>0)+u))},(i,o,u)=>s.createKernel(i,o,u,e.UTF8ToString(e._JsepGetNodeName(o))),i=>s.releaseKernel(i),(i,o,u,l)=>{tt("verbose",()=>`[WebGPU] jsepRun: sessionHandle=${u}, kernel=${i}, contextDataOffset=${o}`);let c=new Mf(e,s,o);return s.computeKernel(i,c,l)},()=>s.captureBegin(),()=>s.captureEnd(),()=>s.replay()])}else a("webnn")}}),zf,Rf,Pf,zr,Bf,Io,Df,Nf,Ao,Ff,Lf,Uf,Mw=ee(()=>{V0(),G0(),xe(),Kn(),zs(),pl(),zf=(t,e)=>{nt()._OrtInit(t,e)!==0&&qe("Can't initialize onnxruntime.")},Rf=async t=>{zf(t.wasm.numThreads,ri(t.logLevel))},Pf=async(t,e)=>{{let r=(Aw(),Ur(Af)).init;if(e==="webgpu"){if(typeof navigator>"u"||!navigator.gpu)throw new Error("WebGPU is not supported in current environment");let n=t.webgpu.adapter;if(n){if(typeof n.limits!="object"||typeof n.features!="object"||typeof n.requestDevice!="function")throw new Error("Invalid GPU adapter set in `env.webgpu.adapter`. It must be a GPUAdapter object.")}else{let a=t.webgpu.powerPreference;if(a!==void 0&&a!=="low-power"&&a!=="high-performance")throw new Error(`Invalid powerPreference setting: "${a}"`);let s=t.webgpu.forceFallbackAdapter;if(s!==void 0&&typeof s!="boolean")throw new Error(`Invalid forceFallbackAdapter setting: "${s}"`);if(n=await navigator.gpu.requestAdapter({powerPreference:a,forceFallbackAdapter:s}),!n)throw new Error('Failed to get GPU adapter. You may need to enable flag "--enable-unsafe-webgpu" if you are using Chrome.')}if(!t.wasm.simd)throw new Error("Not supported for WebGPU=ON and SIMD=OFF. Please set `env.wasm.simd` to true when using `webgpu` EP");await r("webgpu",nt(),t,n)}if(e==="webnn"){if(typeof navigator>"u"||!navigator.ml)throw new Error("WebNN is not supported in current environment");await r("webnn",nt(),t)}}},zr=new Map,Bf=t=>{let e=nt(),r=e.stackSave();try{let n=e.stackAlloc(8);return e._OrtGetInputOutputCount(t,n,n+4)!==0&&qe("Can't get session input/output count."),[e.HEAP32[n/4],e.HEAP32[n/4+1]]}finally{e.stackRestore(r)}},Io=t=>{let e=nt(),r=e._malloc(t.byteLength);if(r===0)throw new Error(`Can't create a session. failed to allocate a buffer of size ${t.byteLength}.`);return e.HEAPU8.set(t,r),[r,t.byteLength]},Df=async(t,e)=>{var h,m;let r,n,a=nt();Array.isArray(t)?[r,n]=t:t.buffer===a.HEAPU8.buffer?[r,n]=[t.byteOffset,t.byteLength]:[r,n]=Io(t);let s=0,i=0,o=0,u=[],l=[],c=[];try{if([i,u]=cl(e),(e==null?void 0:e.externalData)&&a.mountExternalData){let T=[];for(let I of e.externalData){let R=typeof I=="string"?I:I.path;T.push(ni(typeof I=="string"?I:I.data).then(P=>{a.mountExternalData(R,P)}))}await Promise.all(T)}s=await a._OrtCreateSession(r,n,i),s===0&&qe("Can't create a session.");let[_,p]=Bf(s),y=!!(e!=null&&e.enableGraphCapture),v=[],S=[],x=[];for(let T=0;T<_;T++){let I=a._OrtGetInputName(s,T);I===0&&qe("Can't get an input name."),l.push(I),v.push(a.UTF8ToString(I))}for(let T=0;TT==="gpu-buffer")&&(o=a._OrtCreateBinding(s),o===0&&qe("Can't create IO binding."),C={handle:o,outputPreferredLocations:x,outputPreferredLocationsEncoded:x.map(T=>Ds(T))}),zr.set(s,[s,l,c,C,y,!1]),[s,v,S]}catch(_){throw l.forEach(p=>a._OrtFree(p)),c.forEach(p=>a._OrtFree(p)),o!==0&&a._OrtReleaseBinding(o),s!==0&&a._OrtReleaseSession(s),_}finally{a._free(r),i!==0&&a._OrtReleaseSessionOptions(i),u.forEach(_=>a._free(_)),(m=a.unmountExternalData)==null||m.call(a)}},Nf=t=>{var u;let e=nt(),r=zr.get(t);if(!r)throw new Error(`cannot release session. invalid session id: ${t}`);let[n,a,s,i,o]=r;i&&(o&&e._OrtClearBoundOutputs(i.handle),e._OrtReleaseBinding(i.handle)),(u=e.jsepOnReleaseSession)==null||u.call(e,t),a.forEach(l=>e._OrtFree(l)),s.forEach(l=>e._OrtFree(l)),e._OrtReleaseSession(n),zr.delete(t)},Ao=(t,e,r,n,a,s=!1)=>{if(!t){e.push(0);return}let i=nt(),o=t[0],u=t[1],l=t[3],c,h;if(o==="string"&&l==="gpu-buffer")throw new Error("String tensor is not supported on GPU.");if(s&&l!=="gpu-buffer")throw new Error(`External buffer must be provided for input/output index ${a} when enableGraphCapture is true.`);if(l==="gpu-buffer"){let p=t[2].gpuBuffer,y=Yn(Rs(o));h=u.reduce((S,x)=>S*x,1)*y;let v=i.jsepRegisterBuffer;if(!v)throw new Error('Tensor location "gpu-buffer" is not supported without using WebGPU.');c=v(n,a,p,h)}else{let p=t[2];if(Array.isArray(p)){h=4*p.length,c=i._malloc(h),r.push(c);let y=c/4;for(let v=0;vi.HEAP32[p++]=v);let y=i._OrtCreateTensor(Rs(o),c,h,_,u.length,Ds(l));y===0&&qe(`Can't create tensor for input/output. session=${n}, index=${a}.`),e.push(y)}finally{i.stackRestore(m)}},Ff=async(t,e,r,n,a,s)=>{var K,he;let i=nt(),o=zr.get(t);if(!o)throw new Error(`cannot run inference. invalid session id: ${t}`);let u=o[0],l=o[1],c=o[2],h=o[3],m=o[4],_=o[5],p=e.length,y=n.length,v=0,S=[],x=[],C=[],T=[],I=i.stackSave(),R=i.stackAlloc(p*4),P=i.stackAlloc(p*4),G=i.stackAlloc(y*4),j=i.stackAlloc(y*4);try{[v,S]=sl(s);for(let q=0;qWe*Qe,1);de=Gr(Xe);let mt=h==null?void 0:h.outputPreferredLocations[n[q]];if(de==="string"){if(mt==="gpu-buffer")throw new Error("String tensor is not supported on GPU.");let We=[],Qe=Se/4;for(let It=0;It0){let We=i.jsepGetBuffer;if(!We)throw new Error('preferredLocation "gpu-buffer" is not supported without using WebGPU.');let Qe=We(Se),It=Yn(Xe);if(It===void 0||!Bs(de))throw new Error(`Unsupported data type: ${de}`);ae=!0,V.push([de,ct,{gpuBuffer:Qe,download:i.jsepCreateDownloader(Qe,ot*It,de),dispose:()=>{i._OrtReleaseTensor(ce)}},"gpu-buffer"])}else{let We=Ps(de),Qe=new We(ot);new Uint8Array(Qe.buffer,Qe.byteOffset,Qe.byteLength).set(i.HEAPU8.subarray(Se,Se+Qe.byteLength)),V.push([de,ct,Qe,"cpu"])}}finally{i.stackRestore(ue),de==="string"&&Se&&i._free(Se),ae||i._OrtReleaseTensor(ce)}}return h&&!m&&(i._OrtClearBoundOutputs(h.handle),zr.set(t,[u,l,c,h,m,!1])),V}finally{i.stackRestore(I),x.forEach(ne=>i._OrtReleaseTensor(ne)),C.forEach(ne=>i._OrtReleaseTensor(ne)),T.forEach(ne=>i._free(ne)),v!==0&&i._OrtReleaseRunOptions(v),S.forEach(ne=>i._free(ne))}},Lf=t=>{let e=nt(),r=zr.get(t);if(!r)throw new Error("invalid session id");let n=r[0],a=e._OrtEndProfiling(n);a===0&&qe("Can't get an profile file name."),e._OrtFree(a)},Uf=t=>{let e=[];for(let r of t){let n=r[2];!Array.isArray(n)&&"buffer"in n&&e.push(n.buffer)}return e}}),Ow=hn((t,e)=>{e.exports='/*!\n * ONNX Runtime Web v1.18.0\n * Copyright (c) Microsoft Corporation. All rights reserved.\n * Licensed under the MIT License.\n */\n"use strict";(()=>{var ao=Object.defineProperty;var nl=Object.getOwnPropertyDescriptor;var ol=Object.getOwnPropertyNames;var il=Object.prototype.hasOwnProperty;var Y=(e,t)=>()=>(e&&(t=e(e=0)),t);var Wr=(e,t)=>()=>(t||e((t={exports:{}}).exports,t),t.exports),gn=(e,t)=>{for(var r in t)ao(e,r,{get:t[r],enumerable:!0})},al=(e,t,r,o)=>{if(t&&typeof t=="object"||typeof t=="function")for(let i of ol(t))!il.call(e,i)&&i!==r&&ao(e,i,{get:()=>t[i],enumerable:!(o=nl(t,i))||o.enumerable});return e};var wr=e=>al(ao({},"__esModule",{value:!0}),e);var so={};gn(so,{createReadStream:()=>Ai,readFile:()=>sl,readFileSync:()=>ul});var sl,ul,Ai,uo=Y(()=>{sl=void 0,ul=void 0,Ai=void 0});var lo={};gn(lo,{join:()=>dl});var dl,co=Y(()=>{dl=void 0});var Ei=Wr((Ti,po)=>{"use strict";var Ii=(()=>{var e=typeof document<"u"?document.currentScript?.src:void 0;return typeof __filename<"u"&&(e||=__filename),function(t={}){var r=t,o,i,u=new Promise((s,m)=>{o=s,i=m});r.mountExternalData=(s,m)=>{(r.eb||(r.eb=new Map)).set(s,m)},r.unmountExternalData=()=>{delete r.eb};let a=()=>{let s=(g,$,T)=>(...B)=>{let H=dt,q=$?.();B=g(...B);let te=$?.();return q!==te&&(g=te,T(q),$=T=null),dt!=H?tn():B},m=g=>async(...$)=>{try{if(r.cb)throw Error("Session already started");let T=r.cb={xb:$[0],errors:[]},B=await g(...$);if(r.cb!==T)throw Error("Session mismatch");r.kb?.flush();let H=T.errors;if(0te),0r._OrtCreateSession,g=>r._OrtCreateSession=g),r._OrtRun=m(s(r._OrtRun,()=>r._OrtRun,g=>r._OrtRun=g)),r._OrtRunWithBinding=m(s(r._OrtRunWithBinding,()=>r._OrtRunWithBinding,g=>r._OrtRunWithBinding=g)),r._OrtBindInput=s(r._OrtBindInput,()=>r._OrtBindInput,g=>r._OrtBindInput=g),a=void 0};r.jsepInit=(s,m)=>{if(a?.(),s==="webgpu"){[r.kb,r.pb,r.tb,r.lb,r.sb,r.Ra,r.ub,r.wb,r.qb,r.rb,r.vb]=m;let g=r.kb;r.jsepRegisterBuffer=($,T,B,H)=>g.registerBuffer($,T,B,H),r.jsepGetBuffer=$=>g.getBuffer($),r.jsepCreateDownloader=($,T,B)=>g.createDownloader($,T,B),r.jsepOnReleaseSession=$=>{g.onReleaseSession($)},r.jsepOnRunStart=$=>g.onRunStart($)}};var c=Object.assign({},r),p="./this.program",h=(s,m)=>{throw m},d=typeof window=="object",y=typeof importScripts=="function",w=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",_="",v,S,A;if(w){var I=(uo(),wr(so)),x=(co(),wr(lo));_=y?x.dirname(_)+"/":__dirname+"/",v=(s,m)=>(s=Ke(s)?new URL(s):x.normalize(s),I.readFileSync(s,m?void 0:"utf8")),A=s=>(s=v(s,!0),s.buffer||(s=new Uint8Array(s)),s),S=(s,m,g,$=!0)=>{s=Ke(s)?new URL(s):x.normalize(s),I.readFile(s,$?void 0:"utf8",(T,B)=>{T?g(T):m($?B.buffer:B)})},!r.thisProgram&&1{throw process.exitCode=s,m}}else(d||y)&&(y?_=self.location.href:typeof document<"u"&&document.currentScript&&(_=document.currentScript.src),e&&(_=e),_.startsWith("blob:")?_="":_=_.substr(0,_.replace(/[?#].*/,"").lastIndexOf("/")+1),v=s=>{var m=new XMLHttpRequest;return m.open("GET",s,!1),m.send(null),m.responseText},y&&(A=s=>{var m=new XMLHttpRequest;return m.open("GET",s,!1),m.responseType="arraybuffer",m.send(null),new Uint8Array(m.response)}),S=(s,m,g)=>{var $=new XMLHttpRequest;$.open("GET",s,!0),$.responseType="arraybuffer",$.onload=()=>{$.status==200||$.status==0&&$.response?m($.response):g()},$.onerror=g,$.send(null)});var E=console.log.bind(console),P=console.error.bind(console);Object.assign(r,c),c=null;var O,R=!1,L,N,K,Q,he,W,se,Ce,We,ee,ae;function Ae(){var s=O.buffer;r.HEAP8=N=new Int8Array(s),r.HEAP16=Q=new Int16Array(s),r.HEAPU8=K=new Uint8Array(s),r.HEAPU16=he=new Uint16Array(s),r.HEAP32=W=new Int32Array(s),r.HEAPU32=se=new Uint32Array(s),r.HEAPF32=Ce=new Float32Array(s),r.HEAPF64=ae=new Float64Array(s),r.HEAP64=We=new BigInt64Array(s),r.HEAPU64=ee=new BigUint64Array(s)}var me=[],ie=[],ue=[],le=0,qe=null,G=null;function ne(s){throw s="Aborted("+s+")",P(s),R=!0,L=1,s=new WebAssembly.RuntimeError(s+". Build with -sASSERTIONS for more info."),i(s),s}var xe=s=>s.startsWith("data:application/octet-stream;base64,"),Ke=s=>s.startsWith("file://"),Be;if(Be="ort-wasm-simd.wasm",!xe(Be)){var Ge=Be;Be=r.locateFile?r.locateFile(Ge,_):_+Ge}function Ut(s){if(A)return A(s);throw"both async and sync fetching of the wasm failed"}function Ne(s){if(d||y){if(typeof fetch=="function"&&!Ke(s))return fetch(s,{credentials:"same-origin"}).then(m=>{if(!m.ok)throw`failed to load wasm binary file at \'${s}\'`;return m.arrayBuffer()}).catch(()=>Ut(s));if(S)return new Promise((m,g)=>{S(s,$=>m(new Uint8Array($)),g)})}return Promise.resolve().then(()=>Ut(s))}function Ye(s,m,g){return Ne(s).then($=>WebAssembly.instantiate($,m)).then(g,$=>{P(`failed to asynchronously prepare wasm: ${$}`),ne($)})}function mt(s,m){var g=Be;return typeof WebAssembly.instantiateStreaming!="function"||xe(g)||Ke(g)||w||typeof fetch!="function"?Ye(g,s,m):fetch(g,{credentials:"same-origin"}).then($=>WebAssembly.instantiateStreaming($,s).then(m,function(T){return P(`wasm streaming compile failed: ${T}`),P("falling back to ArrayBuffer instantiation"),Ye(g,s,m)}))}var Rt={824920:(s,m,g,$)=>{if(typeof r>"u"||!r.eb)return 1;if(s=je(s>>>0),s.startsWith("./")&&(s=s.substring(2)),s=r.eb.get(s),!s)return 2;if(m>>>=0,g>>>=0,m+g>s.byteLength)return 3;try{return K.set(s.subarray(m,m+g),$>>>0>>>0),0}catch{return 4}},825421:()=>{r.qb()},825452:()=>{r.rb()},825481:()=>{r.vb()},825506:s=>r.pb(s),825539:s=>r.tb(s),825571:(s,m,g)=>{r.lb(s,m,g,!0)},825610:(s,m,g)=>{r.lb(s,m,g)},825643:s=>{r.Ra("Abs",s,void 0)},825694:s=>{r.Ra("Neg",s,void 0)},825745:s=>{r.Ra("Floor",s,void 0)},825798:s=>{r.Ra("Ceil",s,void 0)},825850:s=>{r.Ra("Reciprocal",s,void 0)},825908:s=>{r.Ra("Sqrt",s,void 0)},825960:s=>{r.Ra("Exp",s,void 0)},826011:s=>{r.Ra("Erf",s,void 0)},826062:s=>{r.Ra("Sigmoid",s,void 0)},826117:(s,m,g)=>{r.Ra("HardSigmoid",s,{alpha:m,beta:g})},826196:s=>{r.Ra("Log",s,void 0)},826247:s=>{r.Ra("Sin",s,void 0)},826298:s=>{r.Ra("Cos",s,void 0)},826349:s=>{r.Ra("Tan",s,void 0)},826400:s=>{r.Ra("Asin",s,void 0)},826452:s=>{r.Ra("Acos",s,void 0)},826504:s=>{r.Ra("Atan",s,void 0)},826556:s=>{r.Ra("Sinh",s,void 0)},826608:s=>{r.Ra("Cosh",s,void 0)},826660:s=>{r.Ra("Asinh",s,void 0)},826713:s=>{r.Ra("Acosh",s,void 0)},826766:s=>{r.Ra("Atanh",s,void 0)},826819:s=>{r.Ra("Tanh",s,void 0)},826871:s=>{r.Ra("Not",s,void 0)},826922:(s,m,g)=>{r.Ra("Clip",s,{min:m,max:g})},826991:s=>{r.Ra("Clip",s,void 0)},827043:(s,m)=>{r.Ra("Elu",s,{alpha:m})},827101:s=>{r.Ra("Relu",s,void 0)},827153:(s,m)=>{r.Ra("LeakyRelu",s,{alpha:m})},827217:(s,m)=>{r.Ra("ThresholdedRelu",s,{alpha:m})},827287:(s,m)=>{r.Ra("Cast",s,{to:m})},827345:s=>{r.Ra("Add",s,void 0)},827396:s=>{r.Ra("Sub",s,void 0)},827447:s=>{r.Ra("Mul",s,void 0)},827498:s=>{r.Ra("Div",s,void 0)},827549:s=>{r.Ra("Pow",s,void 0)},827600:s=>{r.Ra("Equal",s,void 0)},827653:s=>{r.Ra("Greater",s,void 0)},827708:s=>{r.Ra("GreaterOrEqual",s,void 0)},827770:s=>{r.Ra("Less",s,void 0)},827822:s=>{r.Ra("LessOrEqual",s,void 0)},827881:(s,m,g,$,T)=>{r.Ra("ReduceMean",s,{keepDims:!!m,noopWithEmptyAxes:!!g,axes:$?Array.from(W.subarray($>>>0,T>>>0)):[]})},828040:(s,m,g,$,T)=>{r.Ra("ReduceMax",s,{keepDims:!!m,noopWithEmptyAxes:!!g,axes:$?Array.from(W.subarray($>>>0,T>>>0)):[]})},828198:(s,m,g,$,T)=>{r.Ra("ReduceMin",s,{keepDims:!!m,noopWithEmptyAxes:!!g,axes:$?Array.from(W.subarray($>>>0,T>>>0)):[]})},828356:(s,m,g,$,T)=>{r.Ra("ReduceProd",s,{keepDims:!!m,noopWithEmptyAxes:!!g,axes:$?Array.from(W.subarray($>>>0,T>>>0)):[]})},828515:(s,m,g,$,T)=>{r.Ra("ReduceSum",s,{keepDims:!!m,noopWithEmptyAxes:!!g,axes:$?Array.from(W.subarray($>>>0,T>>>0)):[]})},828673:(s,m,g,$,T)=>{r.Ra("ReduceL1",s,{keepDims:!!m,noopWithEmptyAxes:!!g,axes:$?Array.from(W.subarray($>>>0,T>>>0)):[]})},828830:(s,m,g,$,T)=>{r.Ra("ReduceL2",s,{keepDims:!!m,noopWithEmptyAxes:!!g,axes:$?Array.from(W.subarray($>>>0,T>>>0)):[]})},828987:(s,m,g,$,T)=>{r.Ra("ReduceLogSum",s,{keepDims:!!m,noopWithEmptyAxes:!!g,axes:$?Array.from(W.subarray($>>>0,T>>>0)):[]})},829148:(s,m,g,$,T)=>{r.Ra("ReduceSumSquare",s,{keepDims:!!m,noopWithEmptyAxes:!!g,axes:$?Array.from(W.subarray($>>>0,T>>>0)):[]})},829312:(s,m,g,$,T)=>{r.Ra("ReduceLogSumExp",s,{keepDims:!!m,noopWithEmptyAxes:!!g,axes:$?Array.from(W.subarray($>>>0,T>>>0)):[]})},829476:s=>{r.Ra("Where",s,void 0)},829529:(s,m,g)=>{r.Ra("Transpose",s,{perm:m?Array.from(W.subarray(m>>>0,g>>>0)):[]})},829637:(s,m,g,$)=>{r.Ra("DepthToSpace",s,{blocksize:m,mode:je(g),format:$?"NHWC":"NCHW"})},829770:(s,m,g,$)=>{r.Ra("DepthToSpace",s,{blocksize:m,mode:je(g),format:$?"NHWC":"NCHW"})},829903:(s,m,g,$,T,B,H,q,te,X,de,Ee,Oe,D,be)=>{r.Ra("ConvTranspose",s,{format:te?"NHWC":"NCHW",autoPad:m,dilations:[g],group:$,kernelShape:[T],pads:[B,H],strides:[q],wIsConst:()=>!!N[X>>>0],outputPadding:de?Array.from(W.subarray(de>>>0,Ee>>>0)):[],outputShape:Oe?Array.from(W.subarray(Oe>>>0,D>>>0)):[],activation:je(be)})},830304:(s,m,g,$,T,B,H,q,te,X,de,Ee,Oe,D)=>{r.Ra("ConvTranspose",s,{format:q?"NHWC":"NCHW",autoPad:m,dilations:Array.from(W.subarray(g>>>0,(g>>>0)+2>>>0)),group:$,kernelShape:Array.from(W.subarray(T>>>0,(T>>>0)+2>>>0)),pads:Array.from(W.subarray(B>>>0,(B>>>0)+4>>>0)),strides:Array.from(W.subarray(H>>>0,(H>>>0)+2>>>0)),wIsConst:()=>!!N[te>>>0],outputPadding:X?Array.from(W.subarray(X>>>0,de>>>0)):[],outputShape:Ee?Array.from(W.subarray(Ee>>>0,Oe>>>0)):[],activation:je(D)})},830869:(s,m,g,$,T,B,H,q,te,X,de,Ee,Oe,D,be)=>{r.Ra("ConvTranspose",s,{format:te?"NHWC":"NCHW",autoPad:m,dilations:[g],group:$,kernelShape:[T],pads:[B,H],strides:[q],wIsConst:()=>!!N[X>>>0],outputPadding:de?Array.from(W.subarray(de>>>0,Ee>>>0)):[],outputShape:Oe?Array.from(W.subarray(Oe>>>0,D>>>0)):[],activation:je(be)})},831270:(s,m,g,$,T,B,H,q,te,X,de,Ee,Oe,D)=>{r.Ra("ConvTranspose",s,{format:q?"NHWC":"NCHW",autoPad:m,dilations:Array.from(W.subarray(g>>>0,(g>>>0)+2>>>0)),group:$,kernelShape:Array.from(W.subarray(T>>>0,(T>>>0)+2>>>0)),pads:Array.from(W.subarray(B>>>0,(B>>>0)+4>>>0)),strides:Array.from(W.subarray(H>>>0,(H>>>0)+2>>>0)),wIsConst:()=>!!N[te>>>0],outputPadding:X?Array.from(W.subarray(X>>>0,de>>>0)):[],outputShape:Ee?Array.from(W.subarray(Ee>>>0,Oe>>>0)):[],activation:je(D)})},831835:(s,m)=>{r.Ra("GlobalAveragePool",s,{format:m?"NHWC":"NCHW"})},831926:(s,m,g,$,T,B,H,q,te,X,de,Ee,Oe,D,be,Ie)=>{r.Ra("AveragePool",s,{format:Ie?"NHWC":"NCHW",auto_pad:m,ceil_mode:g,count_include_pad:$,storage_order:T,dilations:[B,H],kernel_shape:[q,te],pads:[X,de,Ee,Oe],strides:[D,be]})},832210:(s,m)=>{r.Ra("GlobalAveragePool",s,{format:m?"NHWC":"NCHW"})},832301:(s,m,g,$,T,B,H,q,te,X,de,Ee,Oe,D,be,Ie)=>{r.Ra("AveragePool",s,{format:Ie?"NHWC":"NCHW",auto_pad:m,ceil_mode:g,count_include_pad:$,storage_order:T,dilations:[B,H],kernel_shape:[q,te],pads:[X,de,Ee,Oe],strides:[D,be]})},832585:(s,m)=>{r.Ra("GlobalMaxPool",s,{format:m?"NHWC":"NCHW"})},832672:(s,m,g,$,T,B,H,q,te,X,de,Ee,Oe,D,be,Ie)=>{r.Ra("MaxPool",s,{format:Ie?"NHWC":"NCHW",auto_pad:m,ceil_mode:g,count_include_pad:$,storage_order:T,dilations:[B,H],kernel_shape:[q,te],pads:[X,de,Ee,Oe],strides:[D,be]})},832952:(s,m)=>{r.Ra("GlobalMaxPool",s,{format:m?"NHWC":"NCHW"})},833039:(s,m,g,$,T,B,H,q,te,X,de,Ee,Oe,D,be,Ie)=>{r.Ra("MaxPool",s,{format:Ie?"NHWC":"NCHW",auto_pad:m,ceil_mode:g,count_include_pad:$,storage_order:T,dilations:[B,H],kernel_shape:[q,te],pads:[X,de,Ee,Oe],strides:[D,be]})},833319:(s,m,g,$,T)=>{r.Ra("Gemm",s,{alpha:m,beta:g,transA:$,transB:T})},833423:s=>{r.Ra("MatMul",s,void 0)},833477:(s,m,g,$)=>{r.Ra("ArgMax",s,{keepDims:!!m,selectLastIndex:!!g,axis:$})},833585:(s,m,g,$)=>{r.Ra("ArgMin",s,{keepDims:!!m,selectLastIndex:!!g,axis:$})},833693:(s,m)=>{r.Ra("Softmax",s,{axis:m})},833756:(s,m)=>{r.Ra("Concat",s,{axis:m})},833816:(s,m,g,$,T)=>{r.Ra("Split",s,{axis:m,numOutputs:g,splitSizes:$?Array.from(W.subarray($>>>0,T>>>0)):[]})},833956:s=>{r.Ra("Expand",s,void 0)},834010:(s,m)=>{r.Ra("Gather",s,{axis:Number(m)})},834081:(s,m)=>{r.Ra("GatherElements",s,{axis:Number(m)})},834160:(s,m,g,$,T,B,H,q,te,X,de)=>{r.Ra("Resize",s,{antialias:m,axes:g?Array.from(W.subarray(g>>>0,$>>>0)):[],coordinateTransformMode:je(T),cubicCoeffA:B,excludeOutside:H,extrapolationValue:q,keepAspectRatioPolicy:je(te),mode:je(X),nearestMode:je(de)})},834506:(s,m,g,$,T,B,H)=>{r.Ra("Slice",s,{starts:m?Array.from(W.subarray(m>>>0,g>>>0)):[],ends:$?Array.from(W.subarray($>>>0,T>>>0)):[],axes:B?Array.from(W.subarray(B>>>0,H>>>0)):[]})},834722:s=>{r.Ra("Tile",s,void 0)},834774:(s,m,g,$)=>{r.Ra("LayerNormalization",s,{axis:m,epsilon:g,simplified:!!$})},834885:(s,m,g)=>{r.Ra("InstanceNormalization",s,{epsilon:m,format:g?"NHWC":"NCHW"})},834999:(s,m,g)=>{r.Ra("InstanceNormalization",s,{epsilon:m,format:g?"NHWC":"NCHW"})},835113:s=>{r.Ra("Range",s,void 0)},835166:(s,m)=>{r.Ra("Einsum",s,{equation:je(m)})},835247:(s,m,g,$,T)=>{r.Ra("Pad",s,{mode:m,value:g,pads:$?Array.from(W.subarray($>>>0,T>>>0)):[]})},835374:(s,m,g,$,T,B)=>{r.Ra("BatchNormalization",s,{epsilon:m,momentum:g,spatial:!!T,trainingMode:!!$,format:B?"NHWC":"NCHW"})},835543:(s,m,g,$,T,B)=>{r.Ra("BatchNormalization",s,{epsilon:m,momentum:g,spatial:!!T,trainingMode:!!$,format:B?"NHWC":"NCHW"})},835712:(s,m,g)=>{r.Ra("CumSum",s,{exclusive:Number(m),reverse:Number(g)})},835809:(s,m,g,$,T,B,H,q,te)=>{r.Ra("Attention",s,{numHeads:m,isUnidirectional:g,maskFilterValue:$,scale:T,doRotary:B,qkvHiddenSizes:H?Array.from(W.subarray(Number(q)>>>0,Number(q)+H>>>0)):[],pastPresentShareBuffer:!!te})},836081:s=>{r.Ra("BiasAdd",s,void 0)},836136:s=>{r.Ra("BiasSplitGelu",s,void 0)},836197:s=>{r.Ra("FastGelu",s,void 0)},836253:(s,m,g,$,T,B,H,q,te,X,de,Ee,Oe)=>{r.Ra("Conv",s,{format:te?"NHWC":"NCHW",auto_pad:m,dilations:[g],group:$,kernel_shape:[T],pads:B?Array.from(W.subarray(B>>>0,H>>>0)):[],strides:[q],w_is_const:()=>!!N[X>>>0],activation:je(de),activation_params:Ee?Array.from(Ce.subarray(Ee>>>0,Oe>>>0)):[]})},836623:(s,m,g,$,T,B,H,q,te,X,de,Ee,Oe,D,be,Ie)=>{r.Ra("Conv",s,{format:Ee?"NHWC":"NCHW",auto_pad:m,dilations:[g,$],group:T,kernel_shape:[B,H],pads:q?Array.from(W.subarray(q>>>0,te>>>0)):[],strides:[X,de],w_is_const:()=>!!N[Oe>>>0],activation:je(D),activation_params:be?Array.from(Ce.subarray(be>>>0,Ie>>>0)):[]})},837014:s=>{r.Ra("Gelu",s,void 0)},837066:(s,m,g,$,T,B)=>{r.Ra("MatMulNBits",s,{k:m,n:g,accuracyLevel:$,bits:T,blockSize:B})},837193:(s,m,g,$,T,B)=>{r.Ra("MultiHeadAttention",s,{numHeads:m,isUnidirectional:g,maskFilterValue:$,scale:T,doRotary:B})},837352:(s,m,g,$,T)=>{r.Ra("RotaryEmbedding",s,{interleaved:!!m,numHeads:g,rotaryEmbeddingDim:$,scale:T})},837491:(s,m,g)=>{r.Ra("SkipLayerNormalization",s,{epsilon:m,simplified:!!g})},837593:(s,m,g)=>{r.Ra("SkipLayerNormalization",s,{epsilon:m,simplified:!!g})},837695:(s,m,g,$)=>{r.Ra("LayerNormalization",s,{axis:m,epsilon:g,simplified:!!$})},837806:s=>{r.ub(s)},837840:(s,m)=>r.wb(s,m,r.cb.xb,r.cb.errors)};function qt(s){this.name="ExitStatus",this.message=`Program terminated with exit(${s})`,this.status=s}class Vt{constructor(m){this.hb=m-24}}var sr=0,jt=0,xr=typeof TextDecoder<"u"?new TextDecoder("utf8"):void 0,Kt=(s,m,g)=>{m>>>=0;var $=m+g;for(g=m;s[g]&&!(g>=$);)++g;if(16T?$+=String.fromCharCode(T):(T-=65536,$+=String.fromCharCode(55296|T>>10,56320|T&1023))}}else $+=String.fromCharCode(T)}return $},je=(s,m)=>(s>>>=0)?Kt(K,s,m):"",Wt=s=>{for(var m=0,g=0;g=$?m++:2047>=$?m+=2:55296<=$&&57343>=$?(m+=4,++g):m+=3}return m},at=(s,m,g,$)=>{if(g>>>=0,!(0<$))return 0;var T=g;$=g+$-1;for(var B=0;B=H){var q=s.charCodeAt(++B);H=65536+((H&1023)<<10)|q&1023}if(127>=H){if(g>=$)break;m[g++>>>0]=H}else{if(2047>=H){if(g+1>=$)break;m[g++>>>0]=192|H>>6}else{if(65535>=H){if(g+2>=$)break;m[g++>>>0]=224|H>>12}else{if(g+3>=$)break;m[g++>>>0]=240|H>>18,m[g++>>>0]=128|H>>12&63}m[g++>>>0]=128|H>>6&63}m[g++>>>0]=128|H&63}}return m[g>>>0]=0,g-T},Cr,ft=s=>{for(var m="";K[s>>>0];)m+=Cr[K[s++>>>0]];return m},ur={},Ar={},Ir={},st;function Tr(s,m,g={}){var $=m.name;if(!s)throw new st(`type "${$}" must have a positive integer typeid pointer`);if(Ar.hasOwnProperty(s)){if(g.nb)return;throw new st(`Cannot register type \'${$}\' twice`)}Ar[s]=m,delete Ir[s],ur.hasOwnProperty(s)&&(m=ur[s],delete ur[s],m.forEach(T=>T()))}function ht(s,m,g={}){if(!("argPackAdvance"in m))throw new TypeError("registerType registeredInstance requires argPackAdvance");return Tr(s,m,g)}var bt=(s,m,g)=>{switch(m){case 1:return g?$=>N[$>>>0]:$=>K[$>>>0];case 2:return g?$=>Q[$>>>1>>>0]:$=>he[$>>>1>>>0];case 4:return g?$=>W[$>>>2>>>0]:$=>se[$>>>2>>>0];case 8:return g?$=>We[$>>>3]:$=>ee[$>>>3];default:throw new TypeError(`invalid integer width (${m}): ${s}`)}},Er=[],Te=[];function dr(s){s>>>=0,9{if(!s)throw new st("Cannot use deleted val. handle = "+s);return Te[s]},ut=s=>{switch(s){case void 0:return 2;case null:return 4;case!0:return 6;case!1:return 8;default:let m=Er.pop()||Te.length;return Te[m]=s,Te[m+1]=1,m}};function lr(s){return this.fromWireType(se[s>>>2>>>0])}var Fn={name:"emscripten::val",fromWireType:s=>{var m=Xe(s);return dr(s),m},toWireType:(s,m)=>ut(m),argPackAdvance:8,readValueFromPointer:lr,bb:null},ge=(s,m)=>{switch(m){case 4:return function(g){return this.fromWireType(Ce[g>>>2>>>0])};case 8:return function(g){return this.fromWireType(ae[g>>>3>>>0])};default:throw new TypeError(`invalid float width (${m}): ${s}`)}},Yt=typeof TextDecoder<"u"?new TextDecoder("utf-16le"):void 0,jr=(s,m)=>{for(var g=s>>1,$=g+m/2;!(g>=$)&&he[g>>>0];)++g;if(g<<=1,32>>0,g>>>0));for(g="",$=0;!($>=m/2);++$){var T=Q[s+2*$>>>1>>>0];if(T==0)break;g+=String.fromCharCode(T)}return g},qn=(s,m,g)=>{if(g??=2147483647,2>g)return 0;g-=2;var $=m;g=g<2*s.length?g/2:s.length;for(var T=0;T>>1>>>0]=s.charCodeAt(T),m+=2;return Q[m>>>1>>>0]=0,m-$},Kr=s=>2*s.length,jn=(s,m)=>{for(var g=0,$="";!(g>=m/4);){var T=W[s+4*g>>>2>>>0];if(T==0)break;++g,65536<=T?(T-=65536,$+=String.fromCharCode(55296|T>>10,56320|T&1023)):$+=String.fromCharCode(T)}return $},Yr=(s,m,g)=>{if(m>>>=0,g??=2147483647,4>g)return 0;var $=m;g=$+g-4;for(var T=0;T=B){var H=s.charCodeAt(++T);B=65536+((B&1023)<<10)|H&1023}if(W[m>>>2>>>0]=B,m+=4,m+4>g)break}return W[m>>>2>>>0]=0,m-$},Zr=s=>{for(var m=0,g=0;g=$&&++g,m+=4}return m},cr=(s,m)=>{var g=Ar[s];if(g===void 0)throw s=Mr(s),g=ft(s),rt(s),new st(`${m} has unknown type ${g}`);return g},Pr=(s,m,g)=>{var $=[];return s=s.toWireType($,g),$.length&&(se[m>>>2>>>0]=ut($)),s},He=s=>{try{s()}catch(m){ne(m)}},Xr=s=>{if(!R)try{s();try{L=L=s=L,r.onExit?.(s),R=!0,h(s,new qt(s))}catch(m){m instanceof qt||m=="unwind"||h(1,m)}}catch(m){m instanceof qt||m=="unwind"||h(1,m)}};function Qr(){var s=pe,m={};for(let[g,$]of Object.entries(s))m[g]=typeof $=="function"?(...T)=>{Zt.push(g);try{return $(...T)}finally{R||(Zt.pop(),dt&>===1&&Zt.length===0&&(gt=0,He(dn),typeof Fibers<"u"&&Fibers.Db()))}}:$;return m}var gt=0,dt=null,Bt=0,Zt=[],kr={},Or={},Jr=0,pr=null,en=[];function tn(){return new Promise((s,m)=>{pr={resolve:s,reject:m}})}function rn(){var s=Nt(65548),m=s+12;se[s>>>2>>>0]=m,se[s+4>>>2>>>0]=m+65536,m=Zt[0];var g=kr[m];return g===void 0&&(g=Jr++,kr[m]=g,Or[g]=m),W[s+8>>>2>>>0]=g,s}function nn(s){if(!R){if(gt===0){var m=!1,g=!1;s(($=0)=>{if(!R&&(Bt=$,m=!0,g)){gt=2,He(()=>vt(dt)),typeof Browser<"u"&&Browser.ib.mb&&Browser.ib.resume(),$=!1;try{var T=(0,pe[Or[W[dt+8>>>2>>>0]]])()}catch(q){T=q,$=!0}var B=!1;if(!dt){var H=pr;H&&(pr=null,($?H.reject:H.resolve)(T),B=!0)}if($&&!B)throw T}}),g=!0,m||(gt=1,dt=rn(),typeof Browser<"u"&&Browser.ib.mb&&Browser.ib.pause(),He(()=>Jt(dt)))}else gt===2?(gt=0,He(ct),rt(dt),dt=null,en.forEach(Xr)):ne(`invalid state: ${gt}`);return Bt}}function Rr(s){return nn(m=>{s().then(m)})}var Xt=[],on={},nt=s=>{var m=on[s];return m===void 0?ft(s):m},mr=()=>typeof globalThis=="object"?globalThis:Function("return this")(),Br=s=>{var m=Xt.length;return Xt.push(s),m},Kn=(s,m)=>{for(var g=Array(s),$=0;$>>2>>>0],"parameter "+$);return g},wt=(s,m)=>Object.defineProperty(m,"name",{value:s});function Yn(s){var m=Function;if(!(m instanceof Function))throw new TypeError(`new_ called with constructor type ${typeof m} which is not a function`);var g=wt(m.name||"unknownFunctionName",function(){});return g.prototype=m.prototype,g=new g,s=m.apply(g,s),s instanceof Object?s:g}var Je=s=>s%4===0&&(s%100!==0||s%400===0),Dr=[0,31,60,91,121,152,182,213,244,274,305,335],fr=[0,31,59,90,120,151,181,212,243,273,304,334],lt=[],hr=(s,m)=>{lt.length=0;for(var g;g=K[s++>>>0];){var $=g!=105;$&=g!=112,m+=$&&m%8?4:0,lt.push(g==112?se[m>>>2>>>0]:g==106?We[m>>>3]:g==105?W[m>>>2>>>0]:ae[m>>>3>>>0]),m+=$?8:4}return lt},Qe={},ot=()=>{if(!Qt){var s={USER:"web_user",LOGNAME:"web_user",PATH:"/",PWD:"/",HOME:"/home/web_user",LANG:(typeof navigator=="object"&&navigator.languages&&navigator.languages[0]||"C").replace("-","_")+".UTF-8",_:p||"./this.program"},m;for(m in Qe)Qe[m]===void 0?delete s[m]:s[m]=Qe[m];var g=[];for(m in s)g.push(`${m}=${s[m]}`);Qt=g}return Qt},Qt,Zn=[null,[],[]],an=[31,29,31,30,31,30,31,31,30,31,30,31],zr=[31,28,31,30,31,30,31,31,30,31,30,31];function Xn(s){var m=Array(Wt(s)+1);return at(s,m,0,m.length),m}function sn(s,m,g,$){function T(D,be,Ie){for(D=typeof D=="number"?D.toString():D||"";D.lengthMt?-1:0zt-D.getDate())be-=zt-D.getDate()+1,D.setDate(1),11>Ie?D.setMonth(Ie+1):(D.setMonth(0),D.setFullYear(D.getFullYear()+1));else{D.setDate(D.getDate()+be);break}}return Ie=new Date(D.getFullYear()+1,0,4),be=q(new Date(D.getFullYear(),0,4)),Ie=q(Ie),0>=H(be,D)?0>=H(Ie,D)?D.getFullYear()+1:D.getFullYear():D.getFullYear()-1}s>>>=0,m>>>=0,g>>>=0,$>>>=0;var X=se[$+40>>>2>>>0];$={Ab:W[$>>>2>>>0],zb:W[$+4>>>2>>>0],fb:W[$+8>>>2>>>0],jb:W[$+12>>>2>>>0],gb:W[$+16>>>2>>>0],ab:W[$+20>>>2>>>0],Va:W[$+24>>>2>>>0],$a:W[$+28>>>2>>>0],Cb:W[$+32>>>2>>>0],yb:W[$+36>>>2>>>0],Bb:X?je(X):""},g=je(g),X={"%c":"%a %b %d %H:%M:%S %Y","%D":"%m/%d/%y","%F":"%Y-%m-%d","%h":"%b","%r":"%I:%M:%S %p","%R":"%H:%M","%T":"%H:%M:%S","%x":"%m/%d/%y","%X":"%H:%M:%S","%Ec":"%c","%EC":"%C","%Ex":"%m/%d/%y","%EX":"%H:%M:%S","%Ey":"%y","%EY":"%Y","%Od":"%d","%Oe":"%e","%OH":"%H","%OI":"%I","%Om":"%m","%OM":"%M","%OS":"%S","%Ou":"%u","%OU":"%U","%OV":"%V","%Ow":"%w","%OW":"%W","%Oy":"%y"};for(var de in X)g=g.replace(new RegExp(de,"g"),X[de]);var Ee="Sunday Monday Tuesday Wednesday Thursday Friday Saturday".split(" "),Oe="January February March April May June July August September October November December".split(" ");X={"%a":D=>Ee[D.Va].substring(0,3),"%A":D=>Ee[D.Va],"%b":D=>Oe[D.gb].substring(0,3),"%B":D=>Oe[D.gb],"%C":D=>B((D.ab+1900)/100|0,2),"%d":D=>B(D.jb,2),"%e":D=>T(D.jb,2," "),"%g":D=>te(D).toString().substring(2),"%G":te,"%H":D=>B(D.fb,2),"%I":D=>(D=D.fb,D==0?D=12:12{for(var be=0,Ie=0;Ie<=D.gb-1;be+=(Je(D.ab+1900)?an:zr)[Ie++]);return B(D.jb+be,3)},"%m":D=>B(D.gb+1,2),"%M":D=>B(D.zb,2),"%n":()=>`\n`,"%p":D=>0<=D.fb&&12>D.fb?"AM":"PM","%S":D=>B(D.Ab,2),"%t":()=>" ","%u":D=>D.Va||7,"%U":D=>B(Math.floor((D.$a+7-D.Va)/7),2),"%V":D=>{var be=Math.floor((D.$a+7-(D.Va+6)%7)/7);if(2>=(D.Va+371-D.$a-2)%7&&be++,be)be==53&&(Ie=(D.Va+371-D.$a)%7,Ie==4||Ie==3&&Je(D.ab)||(be=1));else{be=52;var Ie=(D.Va+7-D.$a-1)%7;(Ie==4||Ie==5&&Je(D.ab%400-1))&&be++}return B(be,2)},"%w":D=>D.Va,"%W":D=>B(Math.floor((D.$a+7-(D.Va+6)%7)/7),2),"%y":D=>(D.ab+1900).toString().substring(2),"%Y":D=>D.ab+1900,"%z":D=>{D=D.yb;var be=0<=D;return D=Math.abs(D)/60,(be?"+":"-")+("0000"+(D/60*100+D%60)).slice(-4)},"%Z":D=>D.Bb,"%%":()=>"%"},g=g.replace(/%%/g,"\\0\\0");for(de in X)g.includes(de)&&(g=g.replace(new RegExp(de,"g"),X[de]($)));return g=g.replace(/\\0\\0/g,"%"),de=Xn(g),de.length>m?0:(N.set(de,s>>>0),de.length-1)}for(var un=Array(256),gr=0;256>gr;++gr)un[gr]=String.fromCharCode(gr);Cr=un,st=r.BindingError=class extends Error{constructor(s){super(s),this.name="BindingError"}},r.InternalError=class extends Error{constructor(s){super(s),this.name="InternalError"}},Te.push(0,1,void 0,1,null,1,!0,1,!1,1),r.count_emval_handles=()=>Te.length/2-5-Er.length;var Qn={ia:function(s,m,g){return Rr(async()=>{await r.sb(s,m,g)})},a:function(s,m,g){s>>>=0;var $=new Vt(s);throw se[$.hb+16>>>2>>>0]=0,se[$.hb+4>>>2>>>0]=m>>>0,se[$.hb+8>>>2>>>0]=g>>>0,sr=s,jt++,sr},y:function(){return 0},ea:function(){},R:function(){},T:function(){},ga:function(){return 0},ca:function(){},Z:function(){},ba:function(){},G:function(){},S:function(){},P:function(){},da:function(){},Q:function(){},C:function(s,m,g){m=ft(m>>>0),ht(s>>>0,{name:m,fromWireType:$=>$,toWireType:function($,T){if(typeof T!="bigint"&&typeof T!="number")throw T===null?T="null":($=typeof T,T=$==="object"||$==="array"||$==="function"?T.toString():""+T),new TypeError(`Cannot convert "${T}" to ${this.name}`);return typeof T=="number"&&(T=BigInt(T)),T},argPackAdvance:8,readValueFromPointer:bt(m,g>>>0,m.indexOf("u")==-1),bb:null})},K:function(s,m,g,$){m=ft(m>>>0),ht(s>>>0,{name:m,fromWireType:function(T){return!!T},toWireType:function(T,B){return B?g:$},argPackAdvance:8,readValueFromPointer:function(T){return this.fromWireType(K[T>>>0])},bb:null})},J:function(s){return ht(s>>>0,Fn)},B:function(s,m,g){m=ft(m>>>0),ht(s>>>0,{name:m,fromWireType:$=>$,toWireType:($,T)=>T,argPackAdvance:8,readValueFromPointer:ge(m,g>>>0),bb:null})},s:function(s,m,g,$,T){if(s>>>=0,g>>>=0,m=ft(m>>>0),T===-1&&(T=4294967295),T=q=>q,$===0){var B=32-8*g;T=q=>q<>>B}var H=m.includes("unsigned")?function(q,te){return te>>>0}:function(q,te){return te};ht(s,{name:m,fromWireType:T,toWireType:H,argPackAdvance:8,readValueFromPointer:bt(m,g,$!==0),bb:null})},o:function(s,m,g){function $(B){return new T(N.buffer,se[B+4>>>2>>>0],se[B>>>2>>>0])}var T=[Int8Array,Uint8Array,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array,BigInt64Array,BigUint64Array][m];g=ft(g>>>0),ht(s>>>0,{name:g,fromWireType:$,argPackAdvance:8,readValueFromPointer:$},{nb:!0})},D:function(s,m){m=ft(m>>>0);var g=m==="std::string";ht(s>>>0,{name:m,fromWireType:function($){var T=se[$>>>2>>>0],B=$+4;if(g)for(var H=B,q=0;q<=T;++q){var te=B+q;if(q==T||K[te>>>0]==0){if(H=je(H,te-H),X===void 0)var X=H;else X+=String.fromCharCode(0),X+=H;H=te+1}}else{for(X=Array(T),q=0;q>>0]);X=X.join("")}return rt($),X},toWireType:function($,T){T instanceof ArrayBuffer&&(T=new Uint8Array(T));var B=typeof T=="string";if(!(B||T instanceof Uint8Array||T instanceof Uint8ClampedArray||T instanceof Int8Array))throw new st("Cannot pass non-string to std::string");var H=g&&B?Wt(T):T.length,q=Nt(4+H+1),te=q+4;if(se[q>>>2>>>0]=H,g&&B)at(T,K,te,H+1);else if(B)for(B=0;B>>0]=X}else for(B=0;B>>0]=T[B];return $!==null&&$.push(rt,q),q},argPackAdvance:8,readValueFromPointer:lr,bb($){rt($)}})},x:function(s,m,g){if(m>>>=0,g>>>=0,g=ft(g),m===2)var $=jr,T=qn,B=Kr,H=q=>he[q>>>1>>>0];else m===4&&($=jn,T=Yr,B=Zr,H=q=>se[q>>>2>>>0]);ht(s>>>0,{name:g,fromWireType:q=>{for(var te=se[q>>>2>>>0],X,de=q+4,Ee=0;Ee<=te;++Ee){var Oe=q+4+Ee*m;(Ee==te||H(Oe)==0)&&(de=$(de,Oe-de),X===void 0?X=de:(X+=String.fromCharCode(0),X+=de),de=Oe+m)}return rt(q),X},toWireType:(q,te)=>{if(typeof te!="string")throw new st(`Cannot pass non-string to C++ string type ${g}`);var X=B(te),de=Nt(4+X+m);return se[de>>>2>>>0]=X/m,T(te,de+4,X+m),q!==null&&q.push(rt,de),de},argPackAdvance:8,readValueFromPointer:lr,bb(q){rt(q)}})},L:function(s,m){m=ft(m>>>0),ht(s>>>0,{ob:!0,name:m,argPackAdvance:0,fromWireType:()=>{},toWireType:()=>{}})},ha:()=>1,u:function(s,m,g){return m>>>=0,g>>>=0,s=Xe(s>>>0),m=cr(m,"emval::as"),Pr(m,g,s)},w:function(s){return s>>>=0,Rr(()=>(s=Xe(s),s.then(ut)))},n:function(s,m,g,$){return g>>>=0,$>>>=0,s=Xt[s>>>0],m=Xe(m>>>0),s(null,m,g,$)},j:function(s,m,g,$,T){return g>>>=0,$>>>=0,T>>>=0,s=Xt[s>>>0],m=Xe(m>>>0),g=nt(g),s(m,m[g],$,T)},b:dr,A:function(s,m){return m>>>=0,s=Xe(s>>>0),m=Xe(m),s==m},m:function(s){return s>>>=0,s===0?ut(mr()):(s=nt(s),ut(mr()[s]))},i:function(s,m,g){m=Kn(s,m>>>0);var $=m.shift();s--;var T=`return function (obj, func, destructorsRef, args) {\n`,B=0,H=[];g===0&&H.push("obj");for(var q=["retType"],te=[$],X=0;Xde.name).join(", ")}) => ${$.name}>`,Br(wt(g,s))},r:function(s,m){return m>>>=0,s=Xe(s>>>0),m=Xe(m),ut(s[m])},e:function(s){s>>>=0,9>>0);for(var m=Array(s.length),g=0;g>>0))},k:function(){return ut({})},h:function(s){s>>>=0;for(var m=Xe(s);m.length;){var g=m.pop();m.pop()(g)}dr(s)},g:function(s,m,g){m>>>=0,g>>>=0,s=Xe(s>>>0),m=Xe(m),g=Xe(g),s[m]=g},c:function(s,m){return m>>>=0,s=cr(s>>>0,"_emval_take_value"),s=s.readValueFromPointer(m),ut(s)},W:function(s,m){s=-9007199254740992>s||9007199254740992>>=0,s=new Date(1e3*s),W[m>>>2>>>0]=s.getUTCSeconds(),W[m+4>>>2>>>0]=s.getUTCMinutes(),W[m+8>>>2>>>0]=s.getUTCHours(),W[m+12>>>2>>>0]=s.getUTCDate(),W[m+16>>>2>>>0]=s.getUTCMonth(),W[m+20>>>2>>>0]=s.getUTCFullYear()-1900,W[m+24>>>2>>>0]=s.getUTCDay(),W[m+28>>>2>>>0]=(s.getTime()-Date.UTC(s.getUTCFullYear(),0,1,0,0,0,0))/864e5|0},X:function(s,m){s=-9007199254740992>s||9007199254740992>>=0,s=new Date(1e3*s),W[m>>>2>>>0]=s.getSeconds(),W[m+4>>>2>>>0]=s.getMinutes(),W[m+8>>>2>>>0]=s.getHours(),W[m+12>>>2>>>0]=s.getDate(),W[m+16>>>2>>>0]=s.getMonth(),W[m+20>>>2>>>0]=s.getFullYear()-1900,W[m+24>>>2>>>0]=s.getDay(),W[m+28>>>2>>>0]=(Je(s.getFullYear())?Dr:fr)[s.getMonth()]+s.getDate()-1|0,W[m+36>>>2>>>0]=-(60*s.getTimezoneOffset());var g=new Date(s.getFullYear(),6,1).getTimezoneOffset(),$=new Date(s.getFullYear(),0,1).getTimezoneOffset();W[m+32>>>2>>>0]=(g!=$&&s.getTimezoneOffset()==Math.min($,g))|0},Y:function(s){s>>>=0;var m=new Date(W[s+20>>>2>>>0]+1900,W[s+16>>>2>>>0],W[s+12>>>2>>>0],W[s+8>>>2>>>0],W[s+4>>>2>>>0],W[s>>>2>>>0],0),g=W[s+32>>>2>>>0],$=m.getTimezoneOffset(),T=new Date(m.getFullYear(),6,1).getTimezoneOffset(),B=new Date(m.getFullYear(),0,1).getTimezoneOffset(),H=Math.min(B,T);return 0>g?W[s+32>>>2>>>0]=+(T!=B&&H==$):0>>2>>>0]=m.getDay(),W[s+28>>>2>>>0]=(Je(m.getFullYear())?Dr:fr)[m.getMonth()]+m.getDate()-1|0,W[s>>>2>>>0]=m.getSeconds(),W[s+4>>>2>>>0]=m.getMinutes(),W[s+8>>>2>>>0]=m.getHours(),W[s+12>>>2>>>0]=m.getDate(),W[s+16>>>2>>>0]=m.getMonth(),W[s+20>>>2>>>0]=m.getYear(),s=m.getTime(),BigInt(isNaN(s)?-1:s/1e3)},U:function(){return-52},V:function(){},N:function(s,m,g,$){g>>>=0,$>>>=0;var T=new Date().getFullYear(),B=new Date(T,0,1),H=new Date(T,6,1);T=B.getTimezoneOffset();var q=H.getTimezoneOffset();se[s>>>0>>>2>>>0]=60*Math.max(T,q),W[m>>>0>>>2>>>0]=+(T!=q),s=te=>te.toLocaleTimeString(void 0,{hour12:!1,timeZoneName:"short"}).split(" ")[1],B=s(B),H=s(H),q{ne("")},d:function(s,m,g){return s>>>=0,m=hr(m>>>0,g>>>0),Rt[s](...m)},I:function(s,m,g){return s>>>=0,m=hr(m>>>0,g>>>0),Rt[s](...m)},H:()=>Date.now(),O:function(){return 4294901760},q:()=>performance.now(),M:function(s){s>>>=0;var m=K.length;if(4294901760=g;g*=2){var $=m*(1+.2/g);$=Math.min($,s+100663296);var T=Math;$=Math.max(s,$);e:{T=(T.min.call(T,4294901760,$+(65536-$%65536)%65536)-O.buffer.byteLength+65535)/65536;try{O.grow(T),Ae();var B=1;break e}catch{}B=void 0}if(B)return!0}return!1},$:function(s,m){s>>>=0,m>>>=0;var g=0;return ot().forEach(($,T)=>{var B=m+g;for(T=se[s+4*T>>>2>>>0]=B,B=0;B<$.length;++B)N[T++>>>0]=$.charCodeAt(B);N[T>>>0]=0,g+=$.length+1}),0},aa:function(s,m){s>>>=0,m>>>=0;var g=ot();se[s>>>2>>>0]=g.length;var $=0;return g.forEach(T=>$+=T.length+1),se[m>>>2>>>0]=$,0},z:()=>52,F:function(){return 52},_:function(){return 70},E:function(s,m,g,$){m>>>=0,g>>>=0,$>>>=0;for(var T=0,B=0;B>>2>>>0],q=se[m+4>>>2>>>0];m+=8;for(var te=0;te>>0],de=Zn[s];X===0||X===10?((s===1?E:P)(Kt(de,0)),de.length=0):de.push(X)}T+=q}return se[$>>>2>>>0]=T,0},fa:sn,p:function(s,m,g,$){return sn(s>>>0,m>>>0,g>>>0,$>>>0)}},pe=function(){function s(g){return pe=g.exports,pe=Qr(),pe=ln(),O=pe.ja,Ae(),ie.unshift(pe.ka),le--,le==0&&(qe!==null&&(clearInterval(qe),qe=null),G&&(g=G,G=null,g())),pe}var m={a:Qn};if(le++,r.instantiateWasm)try{return r.instantiateWasm(m,s)}catch(g){P(`Module.instantiateWasm callback failed with error: ${g}`),i(g)}return mt(m,function(g){s(g.instance)}).catch(i),{}}(),Mr=s=>(Mr=pe.la)(s);r._OrtInit=(s,m)=>(r._OrtInit=pe.ma)(s,m),r._OrtGetLastError=(s,m)=>(r._OrtGetLastError=pe.na)(s,m),r._OrtCreateSessionOptions=(s,m,g,$,T,B,H,q,te,X)=>(r._OrtCreateSessionOptions=pe.oa)(s,m,g,$,T,B,H,q,te,X),r._OrtAppendExecutionProvider=(s,m)=>(r._OrtAppendExecutionProvider=pe.pa)(s,m),r._OrtAddFreeDimensionOverride=(s,m,g)=>(r._OrtAddFreeDimensionOverride=pe.qa)(s,m,g),r._OrtAddSessionConfigEntry=(s,m,g)=>(r._OrtAddSessionConfigEntry=pe.ra)(s,m,g),r._OrtReleaseSessionOptions=s=>(r._OrtReleaseSessionOptions=pe.sa)(s),r._OrtCreateSession=(s,m,g)=>(r._OrtCreateSession=pe.ta)(s,m,g),r._OrtReleaseSession=s=>(r._OrtReleaseSession=pe.ua)(s),r._OrtGetInputOutputCount=(s,m,g)=>(r._OrtGetInputOutputCount=pe.va)(s,m,g),r._OrtGetInputName=(s,m)=>(r._OrtGetInputName=pe.wa)(s,m),r._OrtGetOutputName=(s,m)=>(r._OrtGetOutputName=pe.xa)(s,m),r._OrtFree=s=>(r._OrtFree=pe.ya)(s),r._OrtCreateTensor=(s,m,g,$,T,B)=>(r._OrtCreateTensor=pe.za)(s,m,g,$,T,B),r._OrtGetTensorData=(s,m,g,$,T)=>(r._OrtGetTensorData=pe.Aa)(s,m,g,$,T),r._OrtReleaseTensor=s=>(r._OrtReleaseTensor=pe.Ba)(s),r._OrtCreateRunOptions=(s,m,g,$)=>(r._OrtCreateRunOptions=pe.Ca)(s,m,g,$),r._OrtAddRunConfigEntry=(s,m,g)=>(r._OrtAddRunConfigEntry=pe.Da)(s,m,g),r._OrtReleaseRunOptions=s=>(r._OrtReleaseRunOptions=pe.Ea)(s),r._OrtCreateBinding=s=>(r._OrtCreateBinding=pe.Fa)(s),r._OrtBindInput=(s,m,g)=>(r._OrtBindInput=pe.Ga)(s,m,g),r._OrtBindOutput=(s,m,g,$)=>(r._OrtBindOutput=pe.Ha)(s,m,g,$),r._OrtClearBoundOutputs=s=>(r._OrtClearBoundOutputs=pe.Ia)(s),r._OrtReleaseBinding=s=>(r._OrtReleaseBinding=pe.Ja)(s),r._OrtRunWithBinding=(s,m,g,$,T)=>(r._OrtRunWithBinding=pe.Ka)(s,m,g,$,T),r._OrtRun=(s,m,g,$,T,B,H,q)=>(r._OrtRun=pe.La)(s,m,g,$,T,B,H,q),r._OrtEndProfiling=s=>(r._OrtEndProfiling=pe.Ma)(s),r._JsepOutput=(s,m,g)=>(r._JsepOutput=pe.Na)(s,m,g),r._JsepGetNodeName=s=>(r._JsepGetNodeName=pe.Oa)(s);var Nt=r._malloc=s=>(Nt=r._malloc=pe.Pa)(s),rt=r._free=s=>(rt=r._free=pe.Qa)(s),yr=s=>(yr=pe.Sa)(s),br=s=>(br=pe.Ta)(s),Ur=()=>(Ur=pe.Ua)(),Jt=s=>(Jt=pe.Wa)(s),dn=()=>(dn=pe.Xa)(),vt=s=>(vt=pe.Ya)(s),ct=()=>(ct=pe.Za)();r.___start_em_js=837952,r.___stop_em_js=838113;function ln(){var s=pe;s=Object.assign({},s);var m=g=>$=>g($)>>>0;return s.la=m(s.la),s.Pa=m(s.Pa),s.Ta=m(s.Ta),s.Ua=(g=>()=>g()>>>0)(s.Ua),s}r.stackSave=()=>Ur(),r.stackRestore=s=>yr(s),r.stackAlloc=s=>br(s),r.UTF8ToString=je,r.stringToUTF8=(s,m,g)=>at(s,K,m,g),r.lengthBytesUTF8=Wt;var Dt;G=function s(){Dt||Vr(),Dt||(G=s)};function Vr(){if(!(0Ii)});var Pi=Wr(()=>{});var ki=Wr(()=>{});var Oi={};gn(Oi,{cpus:()=>ll});var ll,Ri=Y(()=>{ll=void 0});var zi=Wr((Di,mo)=>{"use strict";var Bi=(()=>{var e=typeof document<"u"?document.currentScript?.src:void 0;return typeof __filename<"u"&&(e||=__filename),function(t={}){function r(){return ae.buffer!=ue.buffer&&Ne(),ue}function o(){return ae.buffer!=ue.buffer&&Ne(),le}function i(){return ae.buffer!=ue.buffer&&Ne(),qe}function u(){return ae.buffer!=ue.buffer&&Ne(),G}function a(){return ae.buffer!=ue.buffer&&Ne(),ne}function c(){return ae.buffer!=ue.buffer&&Ne(),xe}function p(){return ae.buffer!=ue.buffer&&Ne(),Ke}function h(){return ae.buffer!=ue.buffer&&Ne(),Ut}var d=t,y,w,_=new Promise((n,l)=>{y=n,w=l});d.mountExternalData=(n,l)=>{(d.Db||(d.Db=new Map)).set(n,l)},d.unmountExternalData=()=>{delete d.Db};let v=()=>{let n=(f,b,C)=>(...k)=>{let V=ct,F=b?.();k=f(...k);let re=b?.();return F!==re&&(f=re,C(F),b=C=null),ct!=V?T():k},l=f=>async(...b)=>{try{if(d.Cb)throw Error("Session already started");let C=d.Cb={ec:b[0],errors:[]},k=await f(...b);if(d.Cb!==C)throw Error("Session mismatch");d.Kb?.flush();let V=C.errors;if(0re),0d._OrtCreateSession,f=>d._OrtCreateSession=f),d._OrtRun=l(n(d._OrtRun,()=>d._OrtRun,f=>d._OrtRun=f)),d._OrtRunWithBinding=l(n(d._OrtRunWithBinding,()=>d._OrtRunWithBinding,f=>d._OrtRunWithBinding=f)),d._OrtBindInput=n(d._OrtBindInput,()=>d._OrtBindInput,f=>d._OrtBindInput=f),v=void 0};d.jsepInit=(n,l)=>{if(v?.(),n==="webgpu"){[d.Kb,d.Wb,d.$b,d.Lb,d.Zb,d.ob,d.ac,d.cc,d.Xb,d.Yb,d.bc]=l;let f=d.Kb;d.jsepRegisterBuffer=(b,C,k,V)=>f.registerBuffer(b,C,k,V),d.jsepGetBuffer=b=>f.getBuffer(b),d.jsepCreateDownloader=(b,C,k)=>f.createDownloader(b,C,k),d.jsepOnReleaseSession=b=>{f.onReleaseSession(b)},d.jsepOnRunStart=b=>f.onRunStart(b)}};var S=Object.assign({},d),A="./this.program",I=(n,l)=>{throw l},x=typeof window=="object",E=typeof importScripts=="function",P=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",O=d.ENVIRONMENT_IS_PTHREAD||!1,R="";function L(n){return d.locateFile?d.locateFile(n,R):R+n}var N,K,Q;if(P){var he=(uo(),wr(so)),W=(co(),wr(lo));R=E?W.dirname(R)+"/":__dirname+"/",N=(n,l)=>(n=Wt(n)?new URL(n):W.normalize(n),he.readFileSync(n,l?void 0:"utf8")),Q=n=>(n=N(n,!0),n.buffer||(n=new Uint8Array(n)),n),K=(n,l,f,b=!0)=>{n=Wt(n)?new URL(n):W.normalize(n),he.readFile(n,b?void 0:"utf8",(C,k)=>{C?f(C):l(b?k.buffer:k)})},!d.thisProgram&&1{throw process.exitCode=n,l},global.Worker=Pi().Worker}else(x||E)&&(E?R=self.location.href:typeof document<"u"&&document.currentScript&&(R=document.currentScript.src),typeof e<"u"&&e&&(R=e),R.startsWith("blob:")?R="":R=R.substr(0,R.replace(/[?#].*/,"").lastIndexOf("/")+1),P||(N=n=>{var l=new XMLHttpRequest;return l.open("GET",n,!1),l.send(null),l.responseText},E&&(Q=n=>{var l=new XMLHttpRequest;return l.open("GET",n,!1),l.responseType="arraybuffer",l.send(null),new Uint8Array(l.response)}),K=(n,l,f)=>{var b=new XMLHttpRequest;b.open("GET",n,!0),b.responseType="arraybuffer",b.onload=()=>{b.status==200||b.status==0&&b.response?l(b.response):f()},b.onerror=f,b.send(null)}));P&&typeof performance>"u"&&(global.performance=ki().performance);var se=console.log.bind(console),Ce=console.error.bind(console);P&&(se=(...n)=>he.writeSync(1,n.join(" ")+`\n`),Ce=(...n)=>he.writeSync(2,n.join(" ")+`\n`));var We=se,ee=Ce;Object.assign(d,S),S=null;var ae,Ae,me=!1,ie,ue,le,qe,G,ne,xe,Ke,Be,Ge,Ut;function Ne(){var n=ae.buffer;d.HEAP8=ue=new Int8Array(n),d.HEAP16=qe=new Int16Array(n),d.HEAPU8=le=new Uint8Array(n),d.HEAPU16=G=new Uint16Array(n),d.HEAP32=ne=new Int32Array(n),d.HEAPU32=xe=new Uint32Array(n),d.HEAPF32=Ke=new Float32Array(n),d.HEAPF64=Ut=new Float64Array(n),d.HEAP64=Be=new BigInt64Array(n),d.HEAPU64=Ge=new BigUint64Array(n)}var Ye=16777216;if(O)ae=d.wasmMemory;else if(d.wasmMemory)ae=d.wasmMemory;else if(ae=new WebAssembly.Memory({initial:Ye/65536,maximum:65536,shared:!0}),!(ae.buffer instanceof SharedArrayBuffer))throw ee("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag"),P&&ee("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and/or recent version)"),Error("bad memory");Ne(),Ye=ae.buffer.byteLength;var mt=[],Rt=[],qt=[],Vt=0,sr=null,jt=null;function xr(){if(Vt--,Vt==0&&(sr!==null&&(clearInterval(sr),sr=null),jt)){var n=jt;jt=null,n()}}function Kt(n){throw n="Aborted("+n+")",ee(n),me=!0,ie=1,n=new WebAssembly.RuntimeError(n+". Build with -sASSERTIONS for more info."),w(n),n}var je=n=>n.startsWith("data:application/octet-stream;base64,"),Wt=n=>n.startsWith("file://"),at;at="ort-wasm-simd-threaded.wasm",je(at)||(at=L(at));function Cr(n){if(Q)return Q(n);throw"both async and sync fetching of the wasm failed"}function ft(n){if(x||E){if(typeof fetch=="function"&&!Wt(n))return fetch(n,{credentials:"same-origin"}).then(l=>{if(!l.ok)throw`failed to load wasm binary file at \'${n}\'`;return l.arrayBuffer()}).catch(()=>Cr(n));if(K)return new Promise((l,f)=>{K(n,b=>l(new Uint8Array(b)),f)})}return Promise.resolve().then(()=>Cr(n))}function ur(n,l,f){return ft(n).then(b=>WebAssembly.instantiate(b,l)).then(f,b=>{ee(`failed to asynchronously prepare wasm: ${b}`),Kt(b)})}function Ar(n,l){var f=at;return typeof WebAssembly.instantiateStreaming!="function"||je(f)||Wt(f)||P||typeof fetch!="function"?ur(f,n,l):fetch(f,{credentials:"same-origin"}).then(b=>WebAssembly.instantiateStreaming(b,n).then(l,function(C){return ee(`wasm streaming compile failed: ${C}`),ee("falling back to ArrayBuffer instantiation"),ur(f,n,l)}))}var Ir={826468:(n,l,f,b)=>{if(typeof d>"u"||!d.Db)return 1;if(n=He(n>>>0),n.startsWith("./")&&(n=n.substring(2)),n=d.Db.get(n),!n)return 2;if(l>>>=0,f>>>=0,b>>>=0,l+f>n.byteLength)return 3;try{return o().set(n.subarray(l,l+f),b>>>0),0}catch{return 4}},826969:()=>{d.Xb()},827e3:()=>{d.Yb()},827029:()=>{d.bc()},827054:n=>d.Wb(n),827087:n=>d.$b(n),827119:(n,l,f)=>{d.Lb(n,l,f,!0)},827158:(n,l,f)=>{d.Lb(n,l,f)},827191:n=>{d.ob("Abs",n,void 0)},827242:n=>{d.ob("Neg",n,void 0)},827293:n=>{d.ob("Floor",n,void 0)},827346:n=>{d.ob("Ceil",n,void 0)},827398:n=>{d.ob("Reciprocal",n,void 0)},827456:n=>{d.ob("Sqrt",n,void 0)},827508:n=>{d.ob("Exp",n,void 0)},827559:n=>{d.ob("Erf",n,void 0)},827610:n=>{d.ob("Sigmoid",n,void 0)},827665:(n,l,f)=>{d.ob("HardSigmoid",n,{alpha:l,beta:f})},827744:n=>{d.ob("Log",n,void 0)},827795:n=>{d.ob("Sin",n,void 0)},827846:n=>{d.ob("Cos",n,void 0)},827897:n=>{d.ob("Tan",n,void 0)},827948:n=>{d.ob("Asin",n,void 0)},828e3:n=>{d.ob("Acos",n,void 0)},828052:n=>{d.ob("Atan",n,void 0)},828104:n=>{d.ob("Sinh",n,void 0)},828156:n=>{d.ob("Cosh",n,void 0)},828208:n=>{d.ob("Asinh",n,void 0)},828261:n=>{d.ob("Acosh",n,void 0)},828314:n=>{d.ob("Atanh",n,void 0)},828367:n=>{d.ob("Tanh",n,void 0)},828419:n=>{d.ob("Not",n,void 0)},828470:(n,l,f)=>{d.ob("Clip",n,{min:l,max:f})},828539:n=>{d.ob("Clip",n,void 0)},828591:(n,l)=>{d.ob("Elu",n,{alpha:l})},828649:n=>{d.ob("Relu",n,void 0)},828701:(n,l)=>{d.ob("LeakyRelu",n,{alpha:l})},828765:(n,l)=>{d.ob("ThresholdedRelu",n,{alpha:l})},828835:(n,l)=>{d.ob("Cast",n,{to:l})},828893:n=>{d.ob("Add",n,void 0)},828944:n=>{d.ob("Sub",n,void 0)},828995:n=>{d.ob("Mul",n,void 0)},829046:n=>{d.ob("Div",n,void 0)},829097:n=>{d.ob("Pow",n,void 0)},829148:n=>{d.ob("Equal",n,void 0)},829201:n=>{d.ob("Greater",n,void 0)},829256:n=>{d.ob("GreaterOrEqual",n,void 0)},829318:n=>{d.ob("Less",n,void 0)},829370:n=>{d.ob("LessOrEqual",n,void 0)},829429:(n,l,f,b,C)=>{d.ob("ReduceMean",n,{keepDims:!!l,noopWithEmptyAxes:!!f,axes:b?Array.from(a().subarray(b>>>0,C>>>0)):[]})},829588:(n,l,f,b,C)=>{d.ob("ReduceMax",n,{keepDims:!!l,noopWithEmptyAxes:!!f,axes:b?Array.from(a().subarray(b>>>0,C>>>0)):[]})},829746:(n,l,f,b,C)=>{d.ob("ReduceMin",n,{keepDims:!!l,noopWithEmptyAxes:!!f,axes:b?Array.from(a().subarray(b>>>0,C>>>0)):[]})},829904:(n,l,f,b,C)=>{d.ob("ReduceProd",n,{keepDims:!!l,noopWithEmptyAxes:!!f,axes:b?Array.from(a().subarray(b>>>0,C>>>0)):[]})},830063:(n,l,f,b,C)=>{d.ob("ReduceSum",n,{keepDims:!!l,noopWithEmptyAxes:!!f,axes:b?Array.from(a().subarray(b>>>0,C>>>0)):[]})},830221:(n,l,f,b,C)=>{d.ob("ReduceL1",n,{keepDims:!!l,noopWithEmptyAxes:!!f,axes:b?Array.from(a().subarray(b>>>0,C>>>0)):[]})},830378:(n,l,f,b,C)=>{d.ob("ReduceL2",n,{keepDims:!!l,noopWithEmptyAxes:!!f,axes:b?Array.from(a().subarray(b>>>0,C>>>0)):[]})},830535:(n,l,f,b,C)=>{d.ob("ReduceLogSum",n,{keepDims:!!l,noopWithEmptyAxes:!!f,axes:b?Array.from(a().subarray(b>>>0,C>>>0)):[]})},830696:(n,l,f,b,C)=>{d.ob("ReduceSumSquare",n,{keepDims:!!l,noopWithEmptyAxes:!!f,axes:b?Array.from(a().subarray(b>>>0,C>>>0)):[]})},830860:(n,l,f,b,C)=>{d.ob("ReduceLogSumExp",n,{keepDims:!!l,noopWithEmptyAxes:!!f,axes:b?Array.from(a().subarray(b>>>0,C>>>0)):[]})},831024:n=>{d.ob("Where",n,void 0)},831077:(n,l,f)=>{d.ob("Transpose",n,{perm:l?Array.from(a().subarray(l>>>0,f>>>0)):[]})},831185:(n,l,f,b)=>{d.ob("DepthToSpace",n,{blocksize:l,mode:He(f),format:b?"NHWC":"NCHW"})},831318:(n,l,f,b)=>{d.ob("DepthToSpace",n,{blocksize:l,mode:He(f),format:b?"NHWC":"NCHW"})},831451:(n,l,f,b,C,k,V,F,re,J,ce,Re,ze,z,we)=>{d.ob("ConvTranspose",n,{format:re?"NHWC":"NCHW",autoPad:l,dilations:[f],group:b,kernelShape:[C],pads:[k,V],strides:[F],wIsConst:()=>!!r()[J>>>0],outputPadding:ce?Array.from(a().subarray(ce>>>0,Re>>>0)):[],outputShape:ze?Array.from(a().subarray(ze>>>0,z>>>0)):[],activation:He(we)})},831852:(n,l,f,b,C,k,V,F,re,J,ce,Re,ze,z)=>{d.ob("ConvTranspose",n,{format:F?"NHWC":"NCHW",autoPad:l,dilations:Array.from(a().subarray(f>>>0,(f>>>0)+2>>>0)),group:b,kernelShape:Array.from(a().subarray(C>>>0,(C>>>0)+2>>>0)),pads:Array.from(a().subarray(k>>>0,(k>>>0)+4>>>0)),strides:Array.from(a().subarray(V>>>0,(V>>>0)+2>>>0)),wIsConst:()=>!!r()[re>>>0],outputPadding:J?Array.from(a().subarray(J>>>0,ce>>>0)):[],outputShape:Re?Array.from(a().subarray(Re>>>0,ze>>>0)):[],activation:He(z)})},832417:(n,l,f,b,C,k,V,F,re,J,ce,Re,ze,z,we)=>{d.ob("ConvTranspose",n,{format:re?"NHWC":"NCHW",autoPad:l,dilations:[f],group:b,kernelShape:[C],pads:[k,V],strides:[F],wIsConst:()=>!!r()[J>>>0],outputPadding:ce?Array.from(a().subarray(ce>>>0,Re>>>0)):[],outputShape:ze?Array.from(a().subarray(ze>>>0,z>>>0)):[],activation:He(we)})},832818:(n,l,f,b,C,k,V,F,re,J,ce,Re,ze,z)=>{d.ob("ConvTranspose",n,{format:F?"NHWC":"NCHW",autoPad:l,dilations:Array.from(a().subarray(f>>>0,(f>>>0)+2>>>0)),group:b,kernelShape:Array.from(a().subarray(C>>>0,(C>>>0)+2>>>0)),pads:Array.from(a().subarray(k>>>0,(k>>>0)+4>>>0)),strides:Array.from(a().subarray(V>>>0,(V>>>0)+2>>>0)),wIsConst:()=>!!r()[re>>>0],outputPadding:J?Array.from(a().subarray(J>>>0,ce>>>0)):[],outputShape:Re?Array.from(a().subarray(Re>>>0,ze>>>0)):[],activation:He(z)})},833383:(n,l)=>{d.ob("GlobalAveragePool",n,{format:l?"NHWC":"NCHW"})},833474:(n,l,f,b,C,k,V,F,re,J,ce,Re,ze,z,we,Pe)=>{d.ob("AveragePool",n,{format:Pe?"NHWC":"NCHW",auto_pad:l,ceil_mode:f,count_include_pad:b,storage_order:C,dilations:[k,V],kernel_shape:[F,re],pads:[J,ce,Re,ze],strides:[z,we]})},833758:(n,l)=>{d.ob("GlobalAveragePool",n,{format:l?"NHWC":"NCHW"})},833849:(n,l,f,b,C,k,V,F,re,J,ce,Re,ze,z,we,Pe)=>{d.ob("AveragePool",n,{format:Pe?"NHWC":"NCHW",auto_pad:l,ceil_mode:f,count_include_pad:b,storage_order:C,dilations:[k,V],kernel_shape:[F,re],pads:[J,ce,Re,ze],strides:[z,we]})},834133:(n,l)=>{d.ob("GlobalMaxPool",n,{format:l?"NHWC":"NCHW"})},834220:(n,l,f,b,C,k,V,F,re,J,ce,Re,ze,z,we,Pe)=>{d.ob("MaxPool",n,{format:Pe?"NHWC":"NCHW",auto_pad:l,ceil_mode:f,count_include_pad:b,storage_order:C,dilations:[k,V],kernel_shape:[F,re],pads:[J,ce,Re,ze],strides:[z,we]})},834500:(n,l)=>{d.ob("GlobalMaxPool",n,{format:l?"NHWC":"NCHW"})},834587:(n,l,f,b,C,k,V,F,re,J,ce,Re,ze,z,we,Pe)=>{d.ob("MaxPool",n,{format:Pe?"NHWC":"NCHW",auto_pad:l,ceil_mode:f,count_include_pad:b,storage_order:C,dilations:[k,V],kernel_shape:[F,re],pads:[J,ce,Re,ze],strides:[z,we]})},834867:(n,l,f,b,C)=>{d.ob("Gemm",n,{alpha:l,beta:f,transA:b,transB:C})},834971:n=>{d.ob("MatMul",n,void 0)},835025:(n,l,f,b)=>{d.ob("ArgMax",n,{keepDims:!!l,selectLastIndex:!!f,axis:b})},835133:(n,l,f,b)=>{d.ob("ArgMin",n,{keepDims:!!l,selectLastIndex:!!f,axis:b})},835241:(n,l)=>{d.ob("Softmax",n,{axis:l})},835304:(n,l)=>{d.ob("Concat",n,{axis:l})},835364:(n,l,f,b,C)=>{d.ob("Split",n,{axis:l,numOutputs:f,splitSizes:b?Array.from(a().subarray(b>>>0,C>>>0)):[]})},835504:n=>{d.ob("Expand",n,void 0)},835558:(n,l)=>{d.ob("Gather",n,{axis:Number(l)})},835629:(n,l)=>{d.ob("GatherElements",n,{axis:Number(l)})},835708:(n,l,f,b,C,k,V,F,re,J,ce)=>{d.ob("Resize",n,{antialias:l,axes:f?Array.from(a().subarray(f>>>0,b>>>0)):[],coordinateTransformMode:He(C),cubicCoeffA:k,excludeOutside:V,extrapolationValue:F,keepAspectRatioPolicy:He(re),mode:He(J),nearestMode:He(ce)})},836054:(n,l,f,b,C,k,V)=>{d.ob("Slice",n,{starts:l?Array.from(a().subarray(l>>>0,f>>>0)):[],ends:b?Array.from(a().subarray(b>>>0,C>>>0)):[],axes:k?Array.from(a().subarray(k>>>0,V>>>0)):[]})},836270:n=>{d.ob("Tile",n,void 0)},836322:(n,l,f,b)=>{d.ob("LayerNormalization",n,{axis:l,epsilon:f,simplified:!!b})},836433:(n,l,f)=>{d.ob("InstanceNormalization",n,{epsilon:l,format:f?"NHWC":"NCHW"})},836547:(n,l,f)=>{d.ob("InstanceNormalization",n,{epsilon:l,format:f?"NHWC":"NCHW"})},836661:n=>{d.ob("Range",n,void 0)},836714:(n,l)=>{d.ob("Einsum",n,{equation:He(l)})},836795:(n,l,f,b,C)=>{d.ob("Pad",n,{mode:l,value:f,pads:b?Array.from(a().subarray(b>>>0,C>>>0)):[]})},836922:(n,l,f,b,C,k)=>{d.ob("BatchNormalization",n,{epsilon:l,momentum:f,spatial:!!C,trainingMode:!!b,format:k?"NHWC":"NCHW"})},837091:(n,l,f,b,C,k)=>{d.ob("BatchNormalization",n,{epsilon:l,momentum:f,spatial:!!C,trainingMode:!!b,format:k?"NHWC":"NCHW"})},837260:(n,l,f)=>{d.ob("CumSum",n,{exclusive:Number(l),reverse:Number(f)})},837357:(n,l,f,b,C,k,V,F,re)=>{d.ob("Attention",n,{numHeads:l,isUnidirectional:f,maskFilterValue:b,scale:C,doRotary:k,qkvHiddenSizes:V?Array.from(a().subarray(Number(F)>>>0,Number(F)+V>>>0)):[],pastPresentShareBuffer:!!re})},837629:n=>{d.ob("BiasAdd",n,void 0)},837684:n=>{d.ob("BiasSplitGelu",n,void 0)},837745:n=>{d.ob("FastGelu",n,void 0)},837801:(n,l,f,b,C,k,V,F,re,J,ce,Re,ze)=>{d.ob("Conv",n,{format:re?"NHWC":"NCHW",auto_pad:l,dilations:[f],group:b,kernel_shape:[C],pads:k?Array.from(a().subarray(k>>>0,V>>>0)):[],strides:[F],w_is_const:()=>!!r()[J>>>0],activation:He(ce),activation_params:Re?Array.from(p().subarray(Re>>>0,ze>>>0)):[]})},838171:(n,l,f,b,C,k,V,F,re,J,ce,Re,ze,z,we,Pe)=>{d.ob("Conv",n,{format:Re?"NHWC":"NCHW",auto_pad:l,dilations:[f,b],group:C,kernel_shape:[k,V],pads:F?Array.from(a().subarray(F>>>0,re>>>0)):[],strides:[J,ce],w_is_const:()=>!!r()[ze>>>0],activation:He(z),activation_params:we?Array.from(p().subarray(we>>>0,Pe>>>0)):[]})},838562:n=>{d.ob("Gelu",n,void 0)},838614:(n,l,f,b,C,k)=>{d.ob("MatMulNBits",n,{k:l,n:f,accuracyLevel:b,bits:C,blockSize:k})},838741:(n,l,f,b,C,k)=>{d.ob("MultiHeadAttention",n,{numHeads:l,isUnidirectional:f,maskFilterValue:b,scale:C,doRotary:k})},838900:(n,l,f,b,C)=>{d.ob("RotaryEmbedding",n,{interleaved:!!l,numHeads:f,rotaryEmbeddingDim:b,scale:C})},839039:(n,l,f)=>{d.ob("SkipLayerNormalization",n,{epsilon:l,simplified:!!f})},839141:(n,l,f)=>{d.ob("SkipLayerNormalization",n,{epsilon:l,simplified:!!f})},839243:(n,l,f,b)=>{d.ob("LayerNormalization",n,{axis:l,epsilon:f,simplified:!!b})},839354:n=>{d.ac(n)},839388:(n,l)=>d.cc(n,l,d.Cb.ec,d.Cb.errors)};function st(n){this.name="ExitStatus",this.message=`Program terminated with exit(${n})`,this.status=n}var Tr=n=>{n.terminate(),n.onmessage=()=>{}},ht=n=>{ge.xb.length==0&&(lr(),ge.Mb(ge.xb[0]));var l=ge.xb.pop();if(!l)return 6;ge.yb.push(l),ge.ub[n.wb]=l,l.wb=n.wb;var f={cmd:"run",start_routine:n.fc,arg:n.Rb,pthread_ptr:n.wb};return P&&l.unref(),l.postMessage(f,n.mc),0},bt=0,Er=n=>{var l=io();return n=n(),fn(l),n},Te=(n,l,...f)=>Er(()=>{for(var b=2*f.length,C=oo(8*b),k=C>>>3,V=0;V>>0]=F)}return gi(n,0,b,C,l)});function dr(n){if(O)return Te(0,1,n);ie=n,0{if(ie=n,O)throw jr(n),"unwind";dr(n)};function ut(){for(var n=d.numThreads;n--;)lr();mt.unshift(()=>{Vt++,Fn(()=>xr())})}function lr(){var n=L("ort-wasm-simd-threaded.worker.js");n=new Worker(n),ge.xb.push(n)}function Fn(n){O?n():Promise.all(ge.xb.map(ge.Mb)).then(n)}var ge={xb:[],yb:[],Qb:[],ub:{},Gb(){O?(ge.receiveObjectTransfer=ge.dc,ge.threadInitTLS=ge.Pb,ge.setExitStatus=ge.Ob):ut()},Ob:n=>ie=n,pc:["$terminateWorker"],hc:()=>{for(var n of ge.yb)Tr(n);for(n of ge.xb)Tr(n);ge.xb=[],ge.yb=[],ge.ub=[]},Nb:n=>{var l=n.wb;delete ge.ub[l],ge.xb.push(n),ge.yb.splice(ge.yb.indexOf(n),1),n.wb=0,ro(l)},dc(){},Pb(){ge.Qb.forEach(n=>n())},Mb:n=>new Promise(l=>{n.onmessage=k=>{k=k.data;var V=k.cmd;if(k.targetThread&&k.targetThread!=pn()){var F=ge.ub[k.targetThread];F?F.postMessage(k,k.transferList):ee(`Internal error! Worker sent a message "${V}" to target pthread ${k.targetThread}, but that thread no longer exists!`)}else V==="checkMailbox"?rt():V==="spawnThread"?ht(k):V==="cleanupThread"?ge.Nb(ge.ub[k.thread]):V==="killThread"?(k=k.thread,V=ge.ub[k],delete ge.ub[k],Tr(V),ro(k),ge.yb.splice(ge.yb.indexOf(V),1),V.wb=0):V==="cancelThread"?ge.ub[k.thread].postMessage({cmd:"cancel"}):V==="loaded"?(n.loaded=!0,P&&!n.wb&&n.unref(),l(n)):V==="alert"?alert(`Thread ${k.threadId}: ${k.text}`):k.target==="setimmediate"?n.postMessage(k):V==="callHandler"?d[k.handler](...k.args):V&&ee(`worker sent an unknown command ${V}`)},n.onerror=k=>{throw ee(`worker sent an error! ${k.filename}:${k.lineno}: ${k.message}`),k},P&&(n.on("message",k=>n.onmessage({data:k})),n.on("error",k=>n.onerror(k)));var f=[],b=["onExit"],C;for(C of b)d.hasOwnProperty(C)&&f.push(C);n.postMessage({cmd:"load",handlers:f,urlOrBlob:d.mainScriptUrlOrBlob||e,wasmMemory:ae,wasmModule:Ae})})};d.PThread=ge;var Yt=n=>{for(;0{var n=pn(),l=c()[n+52>>>2>>>0];n=c()[n+56>>>2>>>0],bi(l,l-n),fn(l)};function jr(n){if(O)return Te(1,0,n);Xe(n)}d.invokeEntryPoint=(n,l)=>{bt=0,n=wi(n,l),0>>2>>>0]=0,c()[this.Ib+4>>>2>>>0]=l,c()[this.Ib+8>>>2>>>0]=f}}var Kr=0,jn=0;function Yr(n,l,f,b){return O?Te(2,1,n,l,f,b):Zr(n,l,f,b)}function Zr(n,l,f,b){if(n>>>=0,l>>>=0,f>>>=0,b>>>=0,typeof SharedArrayBuffer>"u")return ee("Current environment does not support SharedArrayBuffer, pthreads are not available!"),6;var C=[];return O&&C.length===0?Yr(n,l,f,b):(n={fc:f,wb:n,Rb:b,mc:C},O?(n.oc="spawnThread",postMessage(n,C),0):ht(n))}var cr=typeof TextDecoder<"u"?new TextDecoder("utf8"):void 0,Pr=(n,l,f)=>{l>>>=0;var b=l+f;for(f=l;n[f]&&!(f>=b);)++f;if(16C?b+=String.fromCharCode(C):(C-=65536,b+=String.fromCharCode(55296|C>>10,56320|C&1023))}}else b+=String.fromCharCode(C)}return b},He=(n,l)=>(n>>>=0)?Pr(o(),n,l):"";function Xr(n,l,f){return O?Te(3,1,n,l,f):0}function Qr(n,l){if(O)return Te(4,1,n,l)}var gt=n=>{for(var l=0,f=0;f=b?l++:2047>=b?l+=2:55296<=b&&57343>=b?(l+=4,++f):l+=3}return l},dt=(n,l,f,b)=>{if(f>>>=0,!(0=V){var F=n.charCodeAt(++k);V=65536+((V&1023)<<10)|F&1023}if(127>=V){if(f>=b)break;l[f++>>>0]=V}else{if(2047>=V){if(f+1>=b)break;l[f++>>>0]=192|V>>6}else{if(65535>=V){if(f+2>=b)break;l[f++>>>0]=224|V>>12}else{if(f+3>=b)break;l[f++>>>0]=240|V>>18,l[f++>>>0]=128|V>>12&63}l[f++>>>0]=128|V>>6&63}l[f++>>>0]=128|V&63}}return l[f>>>0]=0,f-C},Bt=(n,l,f)=>dt(n,o(),l,f);function Zt(n,l){if(O)return Te(5,1,n,l)}function kr(n,l,f){if(O)return Te(6,1,n,l,f)}function Or(n,l,f){return O?Te(7,1,n,l,f):0}function Jr(n,l){if(O)return Te(8,1,n,l)}function pr(n,l,f){if(O)return Te(9,1,n,l,f)}function en(n,l,f,b){if(O)return Te(10,1,n,l,f,b)}function tn(n,l,f,b){if(O)return Te(11,1,n,l,f,b)}function rn(n,l,f,b){if(O)return Te(12,1,n,l,f,b)}function nn(n){if(O)return Te(13,1,n)}function Rr(n,l){if(O)return Te(14,1,n,l)}function Xt(n,l,f){if(O)return Te(15,1,n,l,f)}var on,nt=n=>{for(var l="";o()[n>>>0];)l+=on[o()[n++>>>0]];return l},mr={},Br={},Kn={},wt;function Yn(n,l,f={}){var b=l.name;if(!n)throw new wt(`type "${b}" must have a positive integer typeid pointer`);if(Br.hasOwnProperty(n)){if(f.Ub)return;throw new wt(`Cannot register type \'${b}\' twice`)}Br[n]=l,delete Kn[n],mr.hasOwnProperty(n)&&(l=mr[n],delete mr[n],l.forEach(C=>C()))}function Je(n,l,f={}){if(!("argPackAdvance"in l))throw new TypeError("registerType registeredInstance requires argPackAdvance");return Yn(n,l,f)}var Dr=(n,l,f)=>{switch(l){case 1:return f?b=>r()[b>>>0]:b=>o()[b>>>0];case 2:return f?b=>i()[b>>>1>>>0]:b=>u()[b>>>1>>>0];case 4:return f?b=>a()[b>>>2>>>0]:b=>c()[b>>>2>>>0];case 8:return f?b=>Be[b>>>3]:b=>Ge[b>>>3];default:throw new TypeError(`invalid integer width (${l}): ${n}`)}},fr=[],lt=[];function hr(n){n>>>=0,9{if(!n)throw new wt("Cannot use deleted val. handle = "+n);return lt[n]},ot=n=>{switch(n){case void 0:return 2;case null:return 4;case!0:return 6;case!1:return 8;default:let l=fr.pop()||lt.length;return lt[l]=n,lt[l+1]=1,l}};function Qt(n){return this.fromWireType(c()[n>>>2>>>0])}var Zn={name:"emscripten::val",fromWireType:n=>{var l=Qe(n);return hr(n),l},toWireType:(n,l)=>ot(l),argPackAdvance:8,readValueFromPointer:Qt,Bb:null},an=(n,l)=>{switch(l){case 4:return function(f){return this.fromWireType(p()[f>>>2>>>0])};case 8:return function(f){return this.fromWireType(h()[f>>>3>>>0])};default:throw new TypeError(`invalid float width (${l}): ${n}`)}},zr=typeof TextDecoder<"u"?new TextDecoder("utf-16le"):void 0,Xn=(n,l)=>{for(var f=n>>1,b=f+l/2;!(f>=b)&&u()[f>>>0];)++f;if(f<<=1,32=l/2);++b){var C=i()[n+2*b>>>1>>>0];if(C==0)break;f+=String.fromCharCode(C)}return f},sn=(n,l,f)=>{if(f??=2147483647,2>f)return 0;f-=2;var b=l;f=f<2*n.length?f/2:n.length;for(var C=0;C>>1>>>0]=k,l+=2}return i()[l>>>1>>>0]=0,l-b},un=n=>2*n.length,gr=(n,l)=>{for(var f=0,b="";!(f>=l/4);){var C=a()[n+4*f>>>2>>>0];if(C==0)break;++f,65536<=C?(C-=65536,b+=String.fromCharCode(55296|C>>10,56320|C&1023)):b+=String.fromCharCode(C)}return b},Qn=(n,l,f)=>{if(l>>>=0,f??=2147483647,4>f)return 0;var b=l;f=b+f-4;for(var C=0;C=k){var V=n.charCodeAt(++C);k=65536+((k&1023)<<10)|V&1023}if(a()[l>>>2>>>0]=k,l+=4,l+4>f)break}return a()[l>>>2>>>0]=0,l-b},pe=n=>{for(var l=0,f=0;f=b&&++f,l+=4}return l},Mr=n=>{if(!me)try{if(n(),!(0>>=0,typeof Atomics.nc=="function"&&(Atomics.nc(a(),n>>>2,n).value.then(rt),n+=128,Atomics.store(a(),n>>>2,1))}d.__emscripten_thread_mailbox_await=Nt;var rt=()=>{var n=pn();n&&(Nt(n),Mr(yi))};d.checkMailbox=rt;var yr=[],br=(n,l)=>{var f=Br[n];if(f===void 0)throw n=fi(n),f=nt(n),At(n),new wt(`${l} has unknown type ${f}`);return f},Ur=(n,l,f)=>{var b=[];return n=n.toWireType(b,f),b.length&&(c()[l>>>2>>>0]=ot(b)),n},Jt=n=>{try{n()}catch(l){Kt(l)}};function dn(){var n=oe,l={};for(let[f,b]of Object.entries(n))l[f]=typeof b=="function"?(...C)=>{Dt.push(f);try{return b(...C)}finally{me||(Dt.pop(),ct&&vt===1&&Dt.length===0&&(vt=0,bt+=1,Jt($i),typeof Fibers<"u"&&Fibers.rc()))}}:b;return l}var vt=0,ct=null,ln=0,Dt=[],Vr={},s={},m=0,g=null,$=[];function T(){return new Promise((n,l)=>{g={resolve:n,reject:l}})}function B(){var n=mn(65548),l=n+12;c()[n>>>2>>>0]=l,c()[n+4>>>2>>>0]=l+65536,l=Dt[0];var f=Vr[l];return f===void 0&&(f=m++,Vr[l]=f,s[f]=l),l=f,a()[n+8>>>2>>>0]=l,n}function H(){var n=a()[ct+8>>>2>>>0];return n=oe[s[n]],--bt,n()}function q(n){if(!me){if(vt===0){var l=!1,f=!1;n((b=0)=>{if(!me&&(ln=b,l=!0,f)){vt=2,Jt(()=>_i(ct)),typeof Browser<"u"&&Browser.Hb.Tb&&Browser.Hb.resume(),b=!1;try{var C=H()}catch(F){C=F,b=!0}var k=!1;if(!ct){var V=g;V&&(g=null,(b?V.reject:V.resolve)(C),k=!0)}if(b&&!k)throw C}}),f=!0,l||(vt=1,ct=B(),typeof Browser<"u"&&Browser.Hb.Tb&&Browser.Hb.pause(),Jt(()=>vi(ct)))}else vt===2?(vt=0,Jt(Si),At(ct),ct=null,$.forEach(Mr)):Kt(`invalid state: ${vt}`);return ln}}function te(n){return q(l=>{n().then(l)})}var X=[],de={},Ee=n=>{var l=de[n];return l===void 0?nt(n):l},Oe=()=>typeof globalThis=="object"?globalThis:Function("return this")(),D=n=>{var l=X.length;return X.push(n),l},be=(n,l)=>{for(var f=Array(n),b=0;b>>2>>>0],"parameter "+b);return f},Ie=(n,l)=>Object.defineProperty(l,"name",{value:n});function zt(n){var l=Function;if(!(l instanceof Function))throw new TypeError(`new_ called with constructor type ${typeof l} which is not a function`);var f=Ie(l.name||"unknownFunctionName",function(){});return f.prototype=l.prototype,f=new f,n=l.apply(f,n),n instanceof Object?n:f}var Mt=n=>n%4===0&&(n%100!==0||n%400===0),Qo=[0,31,60,91,121,152,182,213,244,274,305,335],Jo=[0,31,59,90,120,151,181,212,243,273,304,334];function ei(n,l,f,b,C,k,V){return O?Te(16,1,n,l,f,b,C,k,V):-52}function ti(n,l,f,b,C,k){if(O)return Te(17,1,n,l,f,b,C,k)}var Jn=[],ri=(n,l)=>{Jn.length=0;for(var f;f=o()[n++>>>0];){var b=f!=105;b&=f!=112,l+=b&&l%8?4:0,Jn.push(f==112?c()[l>>>2>>>0]:f==106?Be[l>>>3]:f==105?a()[l>>>2>>>0]:h()[l>>>3>>>0]),l+=b?8:4}return Jn},eo={},ni=()=>{if(!to){var n={USER:"web_user",LOGNAME:"web_user",PATH:"/",PWD:"/",HOME:"/home/web_user",LANG:(typeof navigator=="object"&&navigator.languages&&navigator.languages[0]||"C").replace("-","_")+".UTF-8",_:A||"./this.program"},l;for(l in eo)eo[l]===void 0?delete n[l]:n[l]=eo[l];var f=[];for(l in n)f.push(`${l}=${n[l]}`);to=f}return to},to;function oi(n,l){if(O)return Te(18,1,n,l);n>>>=0,l>>>=0;var f=0;return ni().forEach((b,C)=>{var k=l+f;for(C=c()[n+4*C>>>2>>>0]=k,k=0;k>>0]=b.charCodeAt(k);r()[C>>>0]=0,f+=b.length+1}),0}function ii(n,l){if(O)return Te(19,1,n,l);n>>>=0,l>>>=0;var f=ni();c()[n>>>2>>>0]=f.length;var b=0;return f.forEach(C=>b+=C.length+1),c()[l>>>2>>>0]=b,0}function ai(n){return O?Te(20,1,n):52}function si(n,l,f,b){return O?Te(21,1,n,l,f,b):52}function ui(n,l,f,b){return O?Te(22,1,n,l,f,b):70}var Xd=[null,[],[]];function di(n,l,f,b){if(O)return Te(23,1,n,l,f,b);l>>>=0,f>>>=0,b>>>=0;for(var C=0,k=0;k>>2>>>0],F=c()[l+4>>>2>>>0];l+=8;for(var re=0;re>>0],ce=Xd[n];J===0||J===10?((n===1?We:ee)(Pr(ce,0)),ce.length=0):ce.push(J)}C+=F}return c()[b>>>2>>>0]=C,0}var li=[31,29,31,30,31,30,31,31,30,31,30,31],ci=[31,28,31,30,31,30,31,31,30,31,30,31];function Qd(n){var l=Array(gt(n)+1);return dt(n,l,0,l.length),l}var Jd=(n,l)=>{r().set(n,l>>>0)};function pi(n,l,f,b){function C(z,we,Pe){for(z=typeof z=="number"?z.toString():z||"";z.lengthCi?-1:0er-z.getDate())we-=er-z.getDate()+1,z.setDate(1),11>Pe?z.setMonth(Pe+1):(z.setMonth(0),z.setFullYear(z.getFullYear()+1));else{z.setDate(z.getDate()+we);break}}return Pe=new Date(z.getFullYear()+1,0,4),we=F(new Date(z.getFullYear(),0,4)),Pe=F(Pe),0>=V(we,z)?0>=V(Pe,z)?z.getFullYear()+1:z.getFullYear():z.getFullYear()-1}n>>>=0,l>>>=0,f>>>=0,b>>>=0;var J=c()[b+40>>>2>>>0];b={kc:a()[b>>>2>>>0],jc:a()[b+4>>>2>>>0],Eb:a()[b+8>>>2>>>0],Jb:a()[b+12>>>2>>>0],Fb:a()[b+16>>>2>>>0],Ab:a()[b+20>>>2>>>0],vb:a()[b+24>>>2>>>0],zb:a()[b+28>>>2>>>0],qc:a()[b+32>>>2>>>0],ic:a()[b+36>>>2>>>0],lc:J?He(J):""},f=He(f),J={"%c":"%a %b %d %H:%M:%S %Y","%D":"%m/%d/%y","%F":"%Y-%m-%d","%h":"%b","%r":"%I:%M:%S %p","%R":"%H:%M","%T":"%H:%M:%S","%x":"%m/%d/%y","%X":"%H:%M:%S","%Ec":"%c","%EC":"%C","%Ex":"%m/%d/%y","%EX":"%H:%M:%S","%Ey":"%y","%EY":"%Y","%Od":"%d","%Oe":"%e","%OH":"%H","%OI":"%I","%Om":"%m","%OM":"%M","%OS":"%S","%Ou":"%u","%OU":"%U","%OV":"%V","%Ow":"%w","%OW":"%W","%Oy":"%y"};for(var ce in J)f=f.replace(new RegExp(ce,"g"),J[ce]);var Re="Sunday Monday Tuesday Wednesday Thursday Friday Saturday".split(" "),ze="January February March April May June July August September October November December".split(" ");J={"%a":z=>Re[z.vb].substring(0,3),"%A":z=>Re[z.vb],"%b":z=>ze[z.Fb].substring(0,3),"%B":z=>ze[z.Fb],"%C":z=>k((z.Ab+1900)/100|0,2),"%d":z=>k(z.Jb,2),"%e":z=>C(z.Jb,2," "),"%g":z=>re(z).toString().substring(2),"%G":re,"%H":z=>k(z.Eb,2),"%I":z=>(z=z.Eb,z==0?z=12:12{for(var we=0,Pe=0;Pe<=z.Fb-1;we+=(Mt(z.Ab+1900)?li:ci)[Pe++]);return k(z.Jb+we,3)},"%m":z=>k(z.Fb+1,2),"%M":z=>k(z.jc,2),"%n":()=>`\n`,"%p":z=>0<=z.Eb&&12>z.Eb?"AM":"PM","%S":z=>k(z.kc,2),"%t":()=>" ","%u":z=>z.vb||7,"%U":z=>k(Math.floor((z.zb+7-z.vb)/7),2),"%V":z=>{var we=Math.floor((z.zb+7-(z.vb+6)%7)/7);if(2>=(z.vb+371-z.zb-2)%7&&we++,we)we==53&&(Pe=(z.vb+371-z.zb)%7,Pe==4||Pe==3&&Mt(z.Ab)||(we=1));else{we=52;var Pe=(z.vb+7-z.zb-1)%7;(Pe==4||Pe==5&&Mt(z.Ab%400-1))&&we++}return k(we,2)},"%w":z=>z.vb,"%W":z=>k(Math.floor((z.zb+7-(z.vb+6)%7)/7),2),"%y":z=>(z.Ab+1900).toString().substring(2),"%Y":z=>z.Ab+1900,"%z":z=>{z=z.ic;var we=0<=z;return z=Math.abs(z)/60,(we?"+":"-")+("0000"+(z/60*100+z%60)).slice(-4)},"%Z":z=>z.lc,"%%":()=>"%"},f=f.replace(/%%/g,"\\0\\0");for(ce in J)f.includes(ce)&&(f=f.replace(new RegExp(ce,"g"),J[ce](b)));return f=f.replace(/\\0\\0/g,"%"),ce=Qd(f),ce.length>l?0:(Jd(ce,n),ce.length-1)}ge.Gb();for(var mi=Array(256),cn=0;256>cn;++cn)mi[cn]=String.fromCharCode(cn);on=mi,wt=d.BindingError=class extends Error{constructor(n){super(n),this.name="BindingError"}},d.InternalError=class extends Error{constructor(n){super(n),this.name="InternalError"}},lt.push(0,1,void 0,1,null,1,!0,1,!1,1),d.count_emval_handles=()=>lt.length/2-5-fr.length;var el=[dr,jr,Yr,Xr,Qr,Zt,kr,Or,Jr,pr,en,tn,rn,nn,Rr,Xt,ei,ti,oi,ii,ai,si,ui,di],tl={ua:function(n,l,f){return te(async()=>{await d.Zb(n,l,f)})},b:function(n,l,f){throw n>>>=0,new qn(n).Gb(l>>>0,f>>>0),Kr=n,jn++,Kr},ia:function(n){hi(n>>>0,!E,1,!x,131072,!1),ge.Pb()},G:function(n){n>>>=0,O?postMessage({cmd:"cleanupThread",thread:n}):ge.Nb(ge.ub[n])},_:Zr,A:Xr,pa:Qr,W:Zt,Y:kr,qa:Or,na:Jr,fa:pr,ma:en,K:tn,X:rn,U:nn,oa:Rr,V:Xt,E:function(n,l,f){n>>>=0,f>>>=0,l=nt(l>>>0),Je(n,{name:l,fromWireType:b=>b,toWireType:function(b,C){if(typeof C!="bigint"&&typeof C!="number")throw C===null?C="null":(b=typeof C,C=b==="object"||b==="array"||b==="function"?C.toString():""+C),new TypeError(`Cannot convert "${C}" to ${this.name}`);return typeof C=="number"&&(C=BigInt(C)),C},argPackAdvance:8,readValueFromPointer:Dr(l,f,l.indexOf("u")==-1),Bb:null})},O:function(n,l,f,b){n>>>=0,l=nt(l>>>0),Je(n,{name:l,fromWireType:function(C){return!!C},toWireType:function(C,k){return k?f:b},argPackAdvance:8,readValueFromPointer:function(C){return this.fromWireType(o()[C>>>0])},Bb:null})},N:function(n){return Je(n>>>0,Zn)},D:function(n,l,f){n>>>=0,f>>>=0,l=nt(l>>>0),Je(n,{name:l,fromWireType:b=>b,toWireType:(b,C)=>C,argPackAdvance:8,readValueFromPointer:an(l,f),Bb:null})},t:function(n,l,f,b,C){if(n>>>=0,f>>>=0,l=nt(l>>>0),C===-1&&(C=4294967295),C=F=>F,b===0){var k=32-8*f;C=F=>F<>>k}var V=l.includes("unsigned")?function(F,re){return re>>>0}:function(F,re){return re};Je(n,{name:l,fromWireType:C,toWireType:V,argPackAdvance:8,readValueFromPointer:Dr(l,f,b!==0),Bb:null})},p:function(n,l,f){function b(k){var V=c()[k>>>2>>>0];return k=c()[k+4>>>2>>>0],new C(r().buffer,k,V)}n>>>=0;var C=[Int8Array,Uint8Array,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array,BigInt64Array,BigUint64Array][l];f=nt(f>>>0),Je(n,{name:f,fromWireType:b,argPackAdvance:8,readValueFromPointer:b},{Ub:!0})},F:function(n,l){n>>>=0,l=nt(l>>>0);var f=l==="std::string";Je(n,{name:l,fromWireType:function(b){var C=c()[b>>>2>>>0],k=b+4;if(f)for(var V=k,F=0;F<=C;++F){var re=k+F;if(F==C||o()[re>>>0]==0){if(V=He(V,re-V),J===void 0)var J=V;else J+=String.fromCharCode(0),J+=V;V=re+1}}else{for(J=Array(C),F=0;F>>0]);J=J.join("")}return At(b),J},toWireType:function(b,C){C instanceof ArrayBuffer&&(C=new Uint8Array(C));var k=typeof C=="string";if(!(k||C instanceof Uint8Array||C instanceof Uint8ClampedArray||C instanceof Int8Array))throw new wt("Cannot pass non-string to std::string");var V=f&&k?gt(C):C.length,F=mn(4+V+1),re=F+4;if(c()[F>>>2>>>0]=V,f&&k)Bt(C,re,V+1);else if(k)for(k=0;k>>0]=J}else for(k=0;k>>0]=C[k];return b!==null&&b.push(At,F),F},argPackAdvance:8,readValueFromPointer:Qt,Bb(b){At(b)}})},z:function(n,l,f){if(n>>>=0,l>>>=0,f>>>=0,f=nt(f),l===2)var b=Xn,C=sn,k=un,V=F=>u()[F>>>1>>>0];else l===4&&(b=gr,C=Qn,k=pe,V=F=>c()[F>>>2>>>0]);Je(n,{name:f,fromWireType:F=>{for(var re=c()[F>>>2>>>0],J,ce=F+4,Re=0;Re<=re;++Re){var ze=F+4+Re*l;(Re==re||V(ze)==0)&&(ce=b(ce,ze-ce),J===void 0?J=ce:(J+=String.fromCharCode(0),J+=ce),ce=ze+l)}return At(F),J},toWireType:(F,re)=>{if(typeof re!="string")throw new wt(`Cannot pass non-string to C++ string type ${f}`);var J=k(re),ce=mn(4+J+l);return c()[ce>>>2>>>0]=J/l,C(re,ce+4,J+l),F!==null&&F.push(At,ce),ce},argPackAdvance:8,readValueFromPointer:Qt,Bb(F){At(F)}})},P:function(n,l){n>>>=0,l=nt(l>>>0),Je(n,{Vb:!0,name:l,argPackAdvance:0,fromWireType:()=>{},toWireType:()=>{}})},ta:()=>1,S:function(n,l){n>>>=0,n==l>>>0?setTimeout(rt):O?postMessage({targetThread:n,cmd:"checkMailbox"}):(n=ge.ub[n])&&n.postMessage({cmd:"checkMailbox"})},$:function(n,l,f,b,C){l>>>=0,f>>>=0,b/=2,yr.length=b,C=C>>>0>>>3;for(var k=0;k>>0];return n=l?Ir[l]:el[n],ge.Sb=f,f=n(...yr),ge.Sb=0,f},ha:Nt,sa:function(n){P&&ge.ub[n>>>0].ref()},w:function(n,l,f){return l>>>=0,f>>>=0,n=Qe(n>>>0),l=br(l,"emval::as"),Ur(l,f,n)},y:function(n){return n>>>=0,te(()=>(n=Qe(n),n.then(ot)))},o:function(n,l,f,b){return f>>>=0,b>>>=0,n=X[n>>>0],l=Qe(l>>>0),n(null,l,f,b)},k:function(n,l,f,b,C){return f>>>=0,b>>>=0,C>>>=0,n=X[n>>>0],l=Qe(l>>>0),f=Ee(f),n(l,l[f],b,C)},c:hr,C:function(n,l){return l>>>=0,n=Qe(n>>>0),l=Qe(l),n==l},n:function(n){return n>>>=0,n===0?ot(Oe()):(n=Ee(n),ot(Oe()[n]))},j:function(n,l,f){l=be(n,l>>>0);var b=l.shift();n--;var C=`return function (obj, func, destructorsRef, args) {\n`,k=0,V=[];f===0&&V.push("obj");for(var F=["retType"],re=[b],J=0;Jce.name).join(", ")}) => ${b.name}>`,D(Ie(f,n))},s:function(n,l){return l>>>=0,n=Qe(n>>>0),l=Qe(l),ot(n[l])},d:function(n){n>>>=0,9>>0);for(var l=Array(n.length),f=0;f>>0))},l:function(){return ot({})},i:function(n){n>>>=0;for(var l=Qe(n);l.length;){var f=l.pop();l.pop()(f)}hr(n)},h:function(n,l,f){l>>>=0,f>>>=0,n=Qe(n>>>0),l=Qe(l),f=Qe(f),n[l]=f},e:function(n,l){return l>>>=0,n=br(n>>>0,"_emval_take_value"),n=n.readValueFromPointer(l),ot(n)},ca:function(n,l){n=-9007199254740992>n||9007199254740992>>=0,n=new Date(1e3*n),a()[l>>>2>>>0]=n.getUTCSeconds(),a()[l+4>>>2>>>0]=n.getUTCMinutes(),a()[l+8>>>2>>>0]=n.getUTCHours(),a()[l+12>>>2>>>0]=n.getUTCDate(),a()[l+16>>>2>>>0]=n.getUTCMonth(),a()[l+20>>>2>>>0]=n.getUTCFullYear()-1900,a()[l+24>>>2>>>0]=n.getUTCDay(),n=(n.getTime()-Date.UTC(n.getUTCFullYear(),0,1,0,0,0,0))/864e5|0,a()[l+28>>>2>>>0]=n},da:function(n,l){n=-9007199254740992>n||9007199254740992>>=0,n=new Date(1e3*n),a()[l>>>2>>>0]=n.getSeconds(),a()[l+4>>>2>>>0]=n.getMinutes(),a()[l+8>>>2>>>0]=n.getHours(),a()[l+12>>>2>>>0]=n.getDate(),a()[l+16>>>2>>>0]=n.getMonth(),a()[l+20>>>2>>>0]=n.getFullYear()-1900,a()[l+24>>>2>>>0]=n.getDay();var f=(Mt(n.getFullYear())?Qo:Jo)[n.getMonth()]+n.getDate()-1|0;a()[l+28>>>2>>>0]=f,a()[l+36>>>2>>>0]=-(60*n.getTimezoneOffset()),f=new Date(n.getFullYear(),6,1).getTimezoneOffset();var b=new Date(n.getFullYear(),0,1).getTimezoneOffset();n=(f!=b&&n.getTimezoneOffset()==Math.min(b,f))|0,a()[l+32>>>2>>>0]=n},ea:function(n){n>>>=0;var l=new Date(a()[n+20>>>2>>>0]+1900,a()[n+16>>>2>>>0],a()[n+12>>>2>>>0],a()[n+8>>>2>>>0],a()[n+4>>>2>>>0],a()[n>>>2>>>0],0),f=a()[n+32>>>2>>>0],b=l.getTimezoneOffset(),C=new Date(l.getFullYear(),6,1).getTimezoneOffset(),k=new Date(l.getFullYear(),0,1).getTimezoneOffset(),V=Math.min(k,C);return 0>f?a()[n+32>>>2>>>0]=+(C!=k&&V==b):0>>2>>>0]=l.getDay(),f=(Mt(l.getFullYear())?Qo:Jo)[l.getMonth()]+l.getDate()-1|0,a()[n+28>>>2>>>0]=f,a()[n>>>2>>>0]=l.getSeconds(),a()[n+4>>>2>>>0]=l.getMinutes(),a()[n+8>>>2>>>0]=l.getHours(),a()[n+12>>>2>>>0]=l.getDate(),a()[n+16>>>2>>>0]=l.getMonth(),a()[n+20>>>2>>>0]=l.getYear(),n=l.getTime(),BigInt(isNaN(n)?-1:n/1e3)},aa:ei,ba:ti,R:function(n,l,f,b){n>>>=0,l>>>=0,f>>>=0,b>>>=0;var C=new Date().getFullYear(),k=new Date(C,0,1),V=new Date(C,6,1);C=k.getTimezoneOffset();var F=V.getTimezoneOffset(),re=Math.max(C,F);c()[n>>>2>>>0]=60*re,a()[l>>>2>>>0]=+(C!=F),n=J=>J.toLocaleTimeString(void 0,{hour12:!1,timeZoneName:"short"}).split(" ")[1],k=n(k),V=n(V),F{Kt("")},f:function(n,l,f){return n>>>=0,l=ri(l>>>0,f>>>0),Ir[n](...l)},M:function(n,l,f){return n>>>=0,l=ri(l>>>0,f>>>0),Ir[n](...l)},H:()=>{},L:()=>Date.now(),ra:()=>{throw bt+=1,"unwind"},T:function(){return 4294901760},u:()=>performance.timeOrigin+performance.now(),x:()=>P?(Ri(),wr(Oi)).cpus().length:navigator.hardwareConcurrency,Q:function(n){n>>>=0;var l=o().length;if(n<=l||4294901760=f;f*=2){var b=l*(1+.2/f);b=Math.min(b,n+100663296);var C=Math;b=Math.max(n,b);e:{C=(C.min.call(C,4294901760,b+(65536-b%65536)%65536)-ae.buffer.byteLength+65535)/65536;try{ae.grow(C),Ne();var k=1;break e}catch{}k=void 0}if(k)return!0}return!1},ja:oi,la:ii,Z:Xe,B:ai,J:si,ga:ui,I:di,a:ae||d.wasmMemory,ka:pi,r:function(n,l,f,b){return pi(n>>>0,l>>>0,f>>>0,b>>>0)}},oe=function(){function n(f,b){return oe=f.exports,oe=dn(),oe=rl(),ge.Qb.push(oe.cb),Rt.unshift(oe.va),Ae=b,xr(),oe}var l={a:tl};if(Vt++,d.instantiateWasm)try{return d.instantiateWasm(l,n)}catch(f){ee(`Module.instantiateWasm callback failed with error: ${f}`),w(f)}return Ar(l,function(f){n(f.instance,f.module)}).catch(w),{}}(),fi=n=>(fi=oe.wa)(n);d.__embind_initialize_bindings=()=>(d.__embind_initialize_bindings=oe.xa)(),d._OrtInit=(n,l)=>(d._OrtInit=oe.ya)(n,l),d._OrtGetLastError=(n,l)=>(d._OrtGetLastError=oe.za)(n,l),d._OrtCreateSessionOptions=(n,l,f,b,C,k,V,F,re,J)=>(d._OrtCreateSessionOptions=oe.Aa)(n,l,f,b,C,k,V,F,re,J),d._OrtAppendExecutionProvider=(n,l)=>(d._OrtAppendExecutionProvider=oe.Ba)(n,l),d._OrtAddFreeDimensionOverride=(n,l,f)=>(d._OrtAddFreeDimensionOverride=oe.Ca)(n,l,f),d._OrtAddSessionConfigEntry=(n,l,f)=>(d._OrtAddSessionConfigEntry=oe.Da)(n,l,f),d._OrtReleaseSessionOptions=n=>(d._OrtReleaseSessionOptions=oe.Ea)(n),d._OrtCreateSession=(n,l,f)=>(d._OrtCreateSession=oe.Fa)(n,l,f),d._OrtReleaseSession=n=>(d._OrtReleaseSession=oe.Ga)(n),d._OrtGetInputOutputCount=(n,l,f)=>(d._OrtGetInputOutputCount=oe.Ha)(n,l,f),d._OrtGetInputName=(n,l)=>(d._OrtGetInputName=oe.Ia)(n,l),d._OrtGetOutputName=(n,l)=>(d._OrtGetOutputName=oe.Ja)(n,l),d._OrtFree=n=>(d._OrtFree=oe.Ka)(n),d._OrtCreateTensor=(n,l,f,b,C,k)=>(d._OrtCreateTensor=oe.La)(n,l,f,b,C,k),d._OrtGetTensorData=(n,l,f,b,C)=>(d._OrtGetTensorData=oe.Ma)(n,l,f,b,C),d._OrtReleaseTensor=n=>(d._OrtReleaseTensor=oe.Na)(n),d._OrtCreateRunOptions=(n,l,f,b)=>(d._OrtCreateRunOptions=oe.Oa)(n,l,f,b),d._OrtAddRunConfigEntry=(n,l,f)=>(d._OrtAddRunConfigEntry=oe.Pa)(n,l,f),d._OrtReleaseRunOptions=n=>(d._OrtReleaseRunOptions=oe.Qa)(n),d._OrtCreateBinding=n=>(d._OrtCreateBinding=oe.Ra)(n),d._OrtBindInput=(n,l,f)=>(d._OrtBindInput=oe.Sa)(n,l,f),d._OrtBindOutput=(n,l,f,b)=>(d._OrtBindOutput=oe.Ta)(n,l,f,b),d._OrtClearBoundOutputs=n=>(d._OrtClearBoundOutputs=oe.Ua)(n),d._OrtReleaseBinding=n=>(d._OrtReleaseBinding=oe.Va)(n),d._OrtRunWithBinding=(n,l,f,b,C)=>(d._OrtRunWithBinding=oe.Wa)(n,l,f,b,C),d._OrtRun=(n,l,f,b,C,k,V,F)=>(d._OrtRun=oe.Xa)(n,l,f,b,C,k,V,F),d._OrtEndProfiling=n=>(d._OrtEndProfiling=oe.Ya)(n),d._JsepOutput=(n,l,f)=>(d._JsepOutput=oe.Za)(n,l,f),d._JsepGetNodeName=n=>(d._JsepGetNodeName=oe._a)(n);var pn=d._pthread_self=()=>(pn=d._pthread_self=oe.$a)(),mn=d._malloc=n=>(mn=d._malloc=oe.ab)(n),At=d._free=n=>(At=d._free=oe.bb)(n);d.__emscripten_tls_init=()=>(d.__emscripten_tls_init=oe.cb)();var hi=d.__emscripten_thread_init=(n,l,f,b,C,k)=>(hi=d.__emscripten_thread_init=oe.eb)(n,l,f,b,C,k);d.__emscripten_thread_crashed=()=>(d.__emscripten_thread_crashed=oe.fb)();var gi=(n,l,f,b,C)=>(gi=oe.gb)(n,l,f,b,C),ro=n=>(ro=oe.hb)(n),no=d.__emscripten_thread_exit=n=>(no=d.__emscripten_thread_exit=oe.ib)(n),yi=()=>(yi=oe.jb)(),bi=(n,l)=>(bi=oe.kb)(n,l),fn=n=>(fn=oe.lb)(n),oo=n=>(oo=oe.mb)(n),io=()=>(io=oe.nb)(),wi=d.dynCall_ii=(n,l)=>(wi=d.dynCall_ii=oe.pb)(n,l),vi=n=>(vi=oe.qb)(n),$i=()=>($i=oe.rb)(),_i=n=>(_i=oe.sb)(n),Si=()=>(Si=oe.tb)();d.___start_em_js=839500,d.___stop_em_js=839661;function rl(){var n=oe;n=Object.assign({},n);var l=b=>C=>b(C)>>>0,f=b=>()=>b()>>>0;return n.wa=l(n.wa),n.$a=f(n.$a),n.ab=l(n.ab),n.emscripten_main_runtime_thread_id=f(n.emscripten_main_runtime_thread_id),n.mb=l(n.mb),n.nb=f(n.nb),n}d.wasmMemory=ae,d.stackSave=()=>io(),d.stackRestore=n=>fn(n),d.stackAlloc=n=>oo(n),d.keepRuntimeAlive=()=>0Bi)});var Mi=Wr((gm,cl)=>{cl.exports=\'"use strict";var Module={},ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require("worker_threads"),parentPort=nodeWorkerThreads.parentPort;parentPort.on("message",e=>onmessage({data:e}));var fs=require("fs"),vm=require("vm");Object.assign(global,{self:global,require,Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:e=>vm.runInThisContext(fs.readFileSync(e,"utf8"),{filename:e}),postMessage:e=>parentPort.postMessage(e),performance:global.performance||{now:Date.now}})}var initializedJS=!1;function threadPrintErr(...e){var a=e.join(" ");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,a+`\\n`);return}console.error(a)}function threadAlert(...e){var a=e.join(" ");postMessage({cmd:"alert",text:a,threadId:Module._pthread_self()})}var err=threadPrintErr;self.alert=threadAlert,Module.instantiateWasm=(e,a)=>{var r=Module.wasmModule;Module.wasmModule=null;var t=new WebAssembly.Instance(r,e);return a(t)},self.onunhandledrejection=e=>{throw e.reason||e};function handleMessage(e){try{if(e.data.cmd==="load"){let r=[];self.onmessage=t=>r.push(t),self.startWorker=t=>{Module=t,postMessage({cmd:"loaded"});for(let s of r)handleMessage(s);self.onmessage=handleMessage},Module.wasmModule=e.data.wasmModule;for(const t of e.data.handlers)Module[t]=(...s)=>{postMessage({cmd:"callHandler",handler:t,args:s})};if(Module.wasmMemory=e.data.wasmMemory,Module.buffer=Module.wasmMemory.buffer,Module.ENVIRONMENT_IS_PTHREAD=!0,typeof e.data.urlOrBlob=="string")importScripts(e.data.urlOrBlob);else{var a=URL.createObjectURL(e.data.urlOrBlob);importScripts(a),URL.revokeObjectURL(a)}ortWasmThreaded(Module)}else if(e.data.cmd==="run"){Module.__emscripten_thread_init(e.data.pthread_ptr,0,0,1),Module.__emscripten_thread_mailbox_await(e.data.pthread_ptr),Module.establishStackSpace(),Module.PThread.receiveObjectTransfer(e.data),Module.PThread.threadInitTLS(),initializedJS||(initializedJS=!0);try{Module.invokeEntryPoint(e.data.start_routine,e.data.arg)}catch(r){if(r!="unwind")throw r}}else e.data.cmd==="cancel"?Module._pthread_self()&&Module.__emscripten_thread_exit(-1):e.data.target==="setimmediate"||(e.data.cmd==="checkMailbox"?initializedJS&&Module.checkMailbox():e.data.cmd&&(err(`worker.js received unknown command ${e.data.cmd}`),err(e.data)))}catch(r){throw Module.__emscripten_thread_crashed?.(),r}}self.onmessage=handleMessage;\\n\'});var go,Gt,tr,bn,Gr,Hi,yo,ye=Y(()=>{"use strict";go=e=>{switch(e){case"int8":return 3;case"uint8":return 2;case"bool":return 9;case"int16":return 5;case"uint16":return 4;case"int32":return 6;case"uint32":return 12;case"float16":return 10;case"float32":return 1;case"float64":return 11;case"string":return 8;case"int64":return 7;case"uint64":return 13;default:throw new Error(`unsupported data type: ${e}`)}},Gt=e=>{switch(e){case 3:return"int8";case 2:return"uint8";case 9:return"bool";case 5:return"int16";case 4:return"uint16";case 6:return"int32";case 12:return"uint32";case 10:return"float16";case 1:return"float32";case 11:return"float64";case 8:return"string";case 7:return"int64";case 13:return"uint64";default:throw new Error(`unsupported data type: ${e}`)}},tr=e=>[void 0,4,1,1,2,2,4,8,void 0,1,2,8,4,8,void 0,void 0,void 0][e],bn=e=>{switch(e){case"float16":return typeof Float16Array<"u"&&Float16Array.from?Float16Array:Uint16Array;case"float32":return Float32Array;case"uint8":return Uint8Array;case"int8":return Int8Array;case"uint16":return Uint16Array;case"int16":return Int16Array;case"int32":return Int32Array;case"bool":return Uint8Array;case"float64":return Float64Array;case"uint32":return Uint32Array;case"int64":return BigInt64Array;case"uint64":return BigUint64Array;default:throw new Error(`unsupported type: ${e}`)}},Gr=e=>{switch(e){case"verbose":return 0;case"info":return 1;case"warning":return 2;case"error":return 3;case"fatal":return 4;default:throw new Error(`unsupported logging level: ${e}`)}},Hi=e=>e==="float32"||e==="float16"||e==="int32"||e==="int64"||e==="uint32"||e==="uint8"||e==="bool",yo=e=>{switch(e){case"none":return 0;case"cpu":return 1;case"cpu-pinned":return 2;case"texture":return 3;case"gpu-buffer":return 4;default:throw new Error(`unsupported data location: ${e}`)}}});var wn=Y(()=>{"use strict"});var Fi=Y(()=>{"use strict";wn()});var qi,ji=Y(()=>{"use strict";qi="1.18.0"});var Ki,pt,bo=Y(()=>{"use strict";ji();Ki="warning",pt={wasm:{},webgl:{},webgpu:{},versions:{common:qi},set logLevel(e){if(e!==void 0){if(typeof e!="string"||["verbose","info","warning","error","fatal"].indexOf(e)===-1)throw new Error(`Unsupported logging level: ${e}`);Ki=e}},get logLevel(){return Ki}};Object.defineProperty(pt,"logLevel",{enumerable:!0})});var vr,Yi=Y(()=>{"use strict";bo();vr=pt});var Zi=Y(()=>{"use strict"});var Xi=Y(()=>{"use strict";vn()});var Ji=Y(()=>{"use strict"});var ea=Y(()=>{"use strict";vn()});var vn=Y(()=>{"use strict";Zi();Xi();Ji();ea()});var $n=Y(()=>{"use strict";vn()});var wo,ta,rr,Ht,vo=Y(()=>{"use strict";bo();wo=(e,t)=>{(typeof pt.trace>"u"?!pt.wasm.trace:!pt.trace)||console.timeStamp(`${e}::ORT::${t}`)},ta=(e,t)=>{let r=new Error().stack?.split(/\\r\\n|\\r|\\n/g)||[],o=!1;for(let i=0;i{(typeof pt.trace>"u"?!pt.wasm.trace:!pt.trace)||ta("BEGIN",e)},Ht=e=>{(typeof pt.trace>"u"?!pt.wasm.trace:!pt.trace)||ta("END",e)}});var ra=Y(()=>{"use strict";wn();$n();vo()});var na=Y(()=>{"use strict";ra()});var oa=Y(()=>{"use strict"});var ia=Y(()=>{"use strict"});var aa=Y(()=>{"use strict"});var sa=Y(()=>{"use strict"});var ua=Y(()=>{"use strict";wn();$n()});var da=Y(()=>{"use strict";ua()});var $r=Y(()=>{"use strict";Fi();Yi();na();$n();oa();ia();vo();aa();sa();da()});var _l,Sl,la,ca,pa,xl,Ve,Lt=Y(()=>{"use strict";ye();_l=["V","I","W","E","F"],Sl=(e,t)=>{console.log(`[${_l[e]},${new Date().toISOString()}]${t}`)},pa=(e,t)=>{la=e,ca=t},xl=(e,t)=>{let r=Gr(e),o=Gr(la);r>=o&&Sl(r,typeof t=="function"?t():t)},Ve=(...e)=>{ca&&xl(...e)}});var ma,fa=Y(()=>{"use strict";ye();ma=(e,t)=>new(bn(t))(e)});var _n=Y(()=>{"use strict"});var ha,$o,_o,Cl,Al,ga,xo,So,ba,wa=Y(()=>{"use strict";Lt();_n();ha=new Map([[64,250],[128,200],[256,200],[512,200],[2048,230],[4096,200],[8192,50],[16384,50],[32768,50],[65536,50],[131072,50],[262144,50],[524288,50],[1048576,50],[2097152,30],[4194304,20],[8388608,10],[12582912,10],[16777216,10],[26214400,15],[33554432,22],[44236800,2],[58982400,6],[67108864,6],[134217728,6],[167772160,6]]),$o=[],_o=e=>Math.ceil(e/16)*16,Cl=e=>{for(let t=0;t<$o.length;t++){let r=$o[t];if(e<=r)return r}return Math.ceil(e/16)*16},Al=1,ga=()=>Al++,xo=async(e,t,r,o)=>{let i=_o(r),u=e.device.createBuffer({size:i,usage:GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ});try{let a=e.getCommandEncoder();e.endComputePass(),a.copyBufferToBuffer(t,0,u,0,i),e.flush(),await u.mapAsync(GPUMapMode.READ);let c=u.getMappedRange();if(o){let p=o();return p.set(new Uint8Array(c,0,r)),p}else return new Uint8Array(c.slice(0,r))}finally{u.destroy()}},So=class{constructor(t){this.backend=t;this.storageCache=new Map,this.freeBuffers=new Map,this.freeUniformBuffers=new Map,this.buffersForUploadingPending=[],this.buffersPending=[],this.externalBuffers=new Map,this.capturedPendingBuffers=new Map;for(let[r]of ha)$o.push(r),this.freeBuffers.set(r,[]),this.freeUniformBuffers.set(r,[])}upload(t,r){let o=r.buffer,i=r.byteOffset,u=r.byteLength,a=_o(u),c=this.storageCache.get(t);if(!c)throw new Error("gpu data for uploading does not exist");if(c.originalSize!==u)throw new Error(`inconsistent data size. gpu data size=${c.originalSize}, data size=${u}`);let p=this.backend.device.createBuffer({mappedAtCreation:!0,size:a,usage:GPUBufferUsage.MAP_WRITE|GPUBufferUsage.COPY_SRC}),h=p.getMappedRange();new Uint8Array(h).set(new Uint8Array(o,i,u)),p.unmap();let d=this.backend.getCommandEncoder();this.backend.endComputePass(),d.copyBufferToBuffer(p,0,c.gpuData.buffer,0,a),Ve("verbose",()=>`[WebGPU] GpuDataManager.upload(id=${t})`),this.buffersForUploadingPending.push(p)}memcpy(t,r){let o=this.storageCache.get(t);if(!o)throw new Error("source gpu data for memcpy does not exist");let i=this.storageCache.get(r);if(!i)throw new Error("destination gpu data for memcpy does not exist");if(o.originalSize!==i.originalSize)throw new Error("inconsistent source and destination gpu data size");let u=_o(o.originalSize),a=this.backend.getCommandEncoder();this.backend.endComputePass(),a.copyBufferToBuffer(o.gpuData.buffer,0,i.gpuData.buffer,0,u)}registerExternalBuffer(t,r,o){let i;if(o){if(i=this.externalBuffers.get(o),i===void 0)throw new Error("previous buffer is not registered");if(t===o)return Ve("verbose",()=>`[WebGPU] GpuDataManager.registerExternalBuffer(size=${r}) => id=${i}, buffer is the same, skip.`),i;if(this.backend.capturedCommandList.has(this.backend.currentSessionId))throw new Error(`Registering a different external buffer under graph capture mode is not supported yet.\n Please use the previous external buffer!`);this.externalBuffers.delete(o)}else i=ga();return this.storageCache.set(i,{gpuData:{id:i,type:0,buffer:t},originalSize:r}),this.externalBuffers.set(t,i),Ve("verbose",()=>`[WebGPU] GpuDataManager.registerExternalBuffer(size=${r}) => id=${i}, registered.`),i}unregisterExternalBuffer(t){let r=this.externalBuffers.get(t);r!==void 0&&(this.storageCache.delete(r),this.externalBuffers.delete(t),Ve("verbose",()=>`[WebGPU] GpuDataManager.unregisterExternalBuffer() => id=${r}`))}create(t,r=GPUBufferUsage.STORAGE|GPUBufferUsage.COPY_SRC|GPUBufferUsage.COPY_DST){let o=Cl(t),i,u=(r&GPUBufferUsage.STORAGE)===GPUBufferUsage.STORAGE,a=(r&GPUBufferUsage.UNIFORM)===GPUBufferUsage.UNIFORM;if(u||a){let h=(u?this.freeBuffers:this.freeUniformBuffers).get(o);h?h.length>0?i=h.pop():i=this.backend.device.createBuffer({size:o,usage:r}):i=this.backend.device.createBuffer({size:o,usage:r})}else i=this.backend.device.createBuffer({size:o,usage:r});let c={id:ga(),type:0,buffer:i};return this.storageCache.set(c.id,{gpuData:c,originalSize:t}),Ve("verbose",()=>`[WebGPU] GpuDataManager.create(size=${t}) => id=${c.id}`),c}get(t){return this.storageCache.get(t)?.gpuData}release(t){let r=this.storageCache.get(t);if(!r)throw new Error("releasing data does not exist");return Ve("verbose",()=>`[WebGPU] GpuDataManager.release(id=${t}), gpuDataId=${r.gpuData.id}`),this.storageCache.delete(t),this.buffersPending.push(r.gpuData.buffer),r.originalSize}async download(t,r){let o=this.storageCache.get(t);if(!o)throw new Error("data does not exist");await xo(this.backend,o.gpuData.buffer,o.originalSize,r)}refreshPendingBuffers(){for(let t of this.buffersForUploadingPending)t.destroy();if(this.buffersForUploadingPending=[],this.buffersPending.length!==0)if(this.backend.sessionStatus==="default"){for(let t of this.buffersPending){let r=ha.get(t.size);if((t.usage&GPUBufferUsage.STORAGE)===GPUBufferUsage.STORAGE){let o=this.freeBuffers.get(t.size)||[];r===void 0||o.length>=r?t.destroy():o.push(t)}else if((t.usage&GPUBufferUsage.UNIFORM)===GPUBufferUsage.UNIFORM){let o=this.freeUniformBuffers.get(t.size)||[];r===void 0||o.length>=r?t.destroy():o.push(t)}else t.destroy()}this.buffersPending=[]}else{let t=this.capturedPendingBuffers.get(this.backend.currentSessionId);t||(t=[],this.capturedPendingBuffers.set(this.backend.currentSessionId,t));for(let r of this.buffersPending)t.push(r);this.buffersPending=[]}}dispose(){this.freeBuffers.forEach(t=>{t.forEach(r=>{r.destroy()})}),this.freeUniformBuffers.forEach(t=>{t.forEach(r=>{r.destroy()})}),this.storageCache.forEach(t=>{t.gpuData.buffer.destroy()}),this.capturedPendingBuffers.forEach(t=>{t.forEach(r=>{r.destroy()})}),this.storageCache=new Map,this.freeBuffers=new Map,this.freeUniformBuffers=new Map,this.capturedPendingBuffers=new Map}onReleaseSession(t){let r=this.capturedPendingBuffers.get(t);r&&(r.forEach(o=>{o.destroy()}),this.capturedPendingBuffers.delete(t))}},ba=(...e)=>new So(...e)});var Co,ve,Ze=Y(()=>{"use strict";Co=class{constructor(t){Object.assign(this,t)}get cacheKey(){return this.key||(this.key=Object.getOwnPropertyNames(this).sort().map(t=>`${this[t]}`).join(";")),this.key}},ve=e=>new Co(e)});var Ao,It,M,nr,Sn,xn,Cn,Se=Y(()=>{"use strict";Ao=class{static calcMatMulShape(t,r){return t[1]!==r[0]?void 0:[t[0],r[1]]}},It=class{static calcShape(t,r,o=!1){let i=t.length,u=r.length;if(i===0)return r;if(u===0)return t;let a=Math.max(t.length,r.length),c=new Array(a);if(o){if(i<2||u<2)return;let p=Ao.calcMatMulShape([t[i-2],t[i-1]],[r[u-2],r[u-1]]);if(p===void 0)return;[c[a-2],c[a-1]]=p}for(let p=o?3:1;p<=a;p++){let h=i-p<0?1:t[i-p],d=u-p<0?1:r[u-p];if(h!==d&&h>1&&d>1)return;let y=Math.max(h,d);if(h&&d)c[a-p]=Math.max(h,d);else{if(y>1)return;c[a-p]=0}}return c}static isValidBroadcast(t,r){let o=t.length,i=r.length;if(o>i)return!1;for(let u=1;u<=o;u++)if(t[o-u]!==1&&t[o-u]!==r[i-u])return!1;return!0}},M=class e{static size(t){return e.getSizeFromDimensionRange(t,0,t.length)}static convertShape(t,r=4){let o=t.length;if(o===0)return[];let i=new Array(o),u=o-1;for(;u>=0;){if(t[u]%r===0){i[u]=t[u]/r;break}if(r%t[u]!==0)throw new Error("cannot convert shape");i[u]=1,r/=t[u],u--}for(u--;u>=0;u--)i[u]=t[u];return i}static sizeFromDimension(t,r){if(r<0||r>t.length)throw new Error(`invalid dimension of ${r} for sizeFromDimension as Tensor has ${t.length} dimensions.`);return e.getSizeFromDimensionRange(t,r,t.length)}static sizeToDimension(t,r){if(r<0||r>t.length)throw new Error(`invalid dimension of ${r} for sizeToDimension as Tensor has ${t.length} dimensions.`);return e.getSizeFromDimensionRange(t,0,r)}static getSizeFromDimensionRange(t,r,o){let i=1;for(let u=r;u=0;--i)o[i]=o[i+1]*t[i+1];return o}static normalizeAxis(t,r){if(t<-r&&t>=r)throw new Error("unsupported axis for this operation.");return t<0?t+r:t}static normalizeAxes(t,r){return t.map(o=>this.normalizeAxis(o,r??t.length))}static sortBasedOnPerm(t,r){return r?r.map(o=>t[o]):t.slice().reverse()}static padShape(t,r){let o=t.length;return t.map((i,u)=>i+r[u]+r[u+o])}static areEqual(t,r){return t.length!==r.length?!1:t.every((o,i)=>o===r[i])}},nr=class e{static adjustPoolAttributes(t,r,o,i,u,a){if(!t&&o.length!==r.length-2)throw new Error("length of specified kernel shapes should be 2 less than length of input dimensions");if(t)for(let c=0;c=o.length?o.push(r[c+2]):o[c]=r[c+2];for(let c=0;c=o[c]||a[c+o.length]>=o[c])throw new Error("pads should be smaller than kernel")}}static adjustPadsBasedOnAutoPad(t,r,o,i,u,a,c){if(c){if(u.length!==2*(t.length-2))throw new Error("length of pads should be twice the length of data dimensions");if(r.length!==t.length-2)throw new Error("length of strides should be the length of data dimensions");if(i.length!==t.length-2)throw new Error("length of kernel shapes should be the length of data dimensions");for(let p=0;p{"use strict";ye();Se();or=64,To=(e,t)=>{if(t===3)throw new Error("vec3 has same alignment as vec4, use vec4 instead");switch(e){case 10:return t>1?`vec${t}`:"f16";case 1:return t>1?`vec${t}`:"f32";case 6:return t>1?`vec${t}`:"i32";case 12:return t>1?`vec${t}`:"u32";case 7:if(t>1)throw new Error("currently not supported vecX of uint64 yet");return["vec2","i32"];case 13:if(t>1)throw new Error("currently not supported vecX of uint64 yet");return["vec2","u32"];case 9:if(t!==4)throw new Error("bool must be vec4");return["u32","vec4"];default:throw new Error(`Unknown data type: ${e}`)}},De=(e,t=1)=>{let r=To(e,t);return typeof r=="string"?r:r[0]},et=(e,t=1)=>{let r=To(e,t);return typeof r=="string"?r:r[1]},Z=(...e)=>{let t=[];return e.forEach(r=>{r.length!==0&&t.push({type:12,data:r},{type:12,data:M.computeStrides(r)})}),t},Me=e=>e%4===0?4:e%2===0?2:1,$t=(e="f32",t,r="0")=>!t||t===1?`${e}(${r})`:`vec${t}<${e}>(${r})`,ir=(e,t,r)=>e==="f32"?r:t===1?`f32(${r})`:`vec${t}(${r})`,_t=(e,t)=>t===4?`(${e}.x + ${e}.y + ${e}.z + ${e}.w)`:t===2?`(${e}.x + ${e}.y)`:t===3?`(${e}.x + ${e}.y + ${e}.z)`:e,fe=(e,t,r,o)=>e.startsWith("uniforms.")&&r>4?typeof t=="string"?o==="f16"?`${e}[(${t}) / 8][(${t}) % 8 / 4][(${t}) % 8 % 4]`:`${e}[(${t}) / 4][(${t}) % 4]`:o==="f16"?`${e}[${Math.floor(t/8)}][${Math.floor(t%8/4)}][${t%8%4}]`:`${e}[${Math.floor(t/4)}][${t%4}]`:r>1?`${e}[${t}]`:e,Eo=(e,t,r,o,i)=>{let u=typeof r=="number",a=u?r:r.length,c=[...new Array(a).keys()],p=a<2?"u32":a<=4?`vec${a}`:`array`,h=To(t,i),d=typeof h=="string"?h:h[1],y=typeof h=="string"?h:h[0],w={indices:p,value:d,storage:y,tensor:t},_=G=>typeof G=="string"?G:`${G}u`,v={offsetToIndices:!1,indicesToOffset:!1,broadcastedIndicesToOffset:!1,set:!1,setByIndices:!1,get:!1,getByIndices:!1},S=u?"uniforms.":"",A=`${S}${e}_shape`,I=`${S}${e}_strides`,x="";for(let G=0;G ${w.indices} {\n var indices: ${w.indices};\n var current = offset;\n ${x}\n return indices;\n }`,P=G=>(v.offsetToIndices=!0,a<2?G:`o2i_${e}(${G})`),O=[];if(a>=2)for(let G=a-1;G>=0;G--)O.push(`${fe(I,G,a)} * (indices[${G}])`);let R=a<2?"":`\n fn i2o_${e}(indices: ${w.indices}) -> u32 {\n return ${O.join("+")};\n }`,L=G=>(v.indicesToOffset=!0,a<2?G:`i2o_${e}(${G})`),N=(...G)=>a===0?"0u":`${w.indices}(${G.map(_).join(",")})`,K=(G,ne)=>a<2?`${G}`:`${fe(G,ne,a)}`,Q=(G,ne,xe)=>a<2?`${G}=${xe};`:`${fe(G,ne,a)}=${xe};`,he={},W=(G,ne)=>{v.broadcastedIndicesToOffset=!0;let xe=`${ne.name}broadcastedIndicesTo${e}Offset`;if(xe in he)return`${xe}(${G})`;let Ke=[];for(let Be=a-1;Be>=0;Be--){let Ge=ne.indicesGet("outputIndices",Be+ne.rank-a);Ke.push(`${K(I,Be)} * (${Ge} % ${K(A,Be)})`)}return he[xe]=`fn ${xe}(outputIndices: ${ne.type.indices}) -> u32 {\n return ${Ke.length>0?Ke.join("+"):"0u"};\n }`,`${xe}(${G})`},se=(G,ne)=>(()=>{if(w.storage===w.value)return`${e}[${G}]=${ne};`;if(w.storage==="vec2"&&w.value==="i32")return`${e}[${G}]=vec2(u32(${ne}), select(0u, 0xFFFFFFFFu, ${ne} < 0));`;if(w.storage==="vec2"&&w.value==="u32")return`${e}[${G}]=vec2(u32(${ne}), 0u);`;if(w.storage==="u32"&&w.value==="vec4")return`${e}[${G}]=dot(vec4(0x1, 0x100, 0x10000, 0x1000000), vec4(${ne}));`;throw new Error(`not supported combination of storage type ${w.storage} and value type ${w.value} yet`)})(),Ce=G=>(()=>{if(w.storage===w.value)return`${e}[${G}]`;if(w.storage==="vec2"&&w.value==="i32")return`i32(${e}[${G}].x)`;if(w.storage==="vec2"&&w.value==="u32")return`u32(${e}[${G}].x)`;if(w.storage==="u32"&&w.value==="vec4")return`vec4(bool(${e}[${G}] & 0xFFu), bool(${e}[${G}] & 0xFF00u), bool(${e}[${G}] & 0xFF0000u), bool(${e}[${G}] & 0xFF000000u))`;throw new Error(`not supported combination of storage type ${w.storage} and value type ${w.value} yet`)})(),We=a<2?"":`\n fn get_${e}ByIndices(indices: ${w.indices}) -> ${d} {\n return ${Ce(`i2o_${e}(indices)`)};\n }`,ee=a<2?"":(()=>{let G=c.map(xe=>`d${xe}: u32`).join(", "),ne=c.map(xe=>`d${xe}`).join(", ");return`\n fn get_${e}(${G}) -> ${d} {\n return get_${e}ByIndices(${N(ne)});\n }`})(),ae=(...G)=>{if(G.length!==a)throw new Error(`indices length must be ${a}`);let ne=G.map(_).join(",");return a===0?Ce("0u"):a===1?Ce(ne[0]):(v.get=!0,v.getByIndices=!0,v.indicesToOffset=!0,`get_${e}(${ne})`)},Ae=G=>a<2?Ce(G):(v.getByIndices=!0,v.indicesToOffset=!0,`get_${e}ByIndices(${G})`),me=a<2?"":`\n fn set_${e}ByIndices(indices: ${w.indices}, value: ${d}) {\n ${se(`i2o_${e}(indices)`,"value")}\n }`,ie=a<2?"":(()=>{let G=c.map(xe=>`d${xe}: u32`).join(", "),ne=c.map(xe=>`d${xe}`).join(", ");return`\n fn set_${e}(${G}, value: ${d}) {\n set_${e}ByIndices(${N(ne)}, value);\n }`})();return{impl:()=>{let G=[],ne=!1;return v.offsetToIndices&&(G.push(E),ne=!0),v.indicesToOffset&&(G.push(R),ne=!0),v.broadcastedIndicesToOffset&&(Object.values(he).forEach(xe=>G.push(xe)),ne=!0),v.set&&(G.push(ie),ne=!0),v.setByIndices&&(G.push(me),ne=!0),v.get&&(G.push(ee),ne=!0),v.getByIndices&&(G.push(We),ne=!0),!u&&ne&&G.unshift(`const ${A} = ${w.indices}(${r.join(",")});`,`const ${I} = ${w.indices}(${M.computeStrides(r).join(",")});`),G.join(`\n`)},type:w,offsetToIndices:P,indicesToOffset:L,broadcastedIndicesToOffset:W,indices:N,indicesGet:K,indicesSet:Q,set:(...G)=>{if(G.length!==a+1)throw new Error(`indices length must be ${a}`);let ne=G[a];if(typeof ne!="string")throw new Error("value must be string");let xe=G.slice(0,a).map(_).join(",");return a===0?se("0u",ne):a===1?se(xe[0],ne):(v.set=!0,v.setByIndices=!0,v.indicesToOffset=!0,`set_${e}(${xe}, ${ne})`)},setByOffset:se,setByIndices:(G,ne)=>a<2?se(G,ne):(v.setByIndices=!0,v.indicesToOffset=!0,`set_${e}ByIndices(${G}, ${ne});`),get:ae,getByOffset:Ce,getByIndices:Ae,usage:o,name:e,strides:I,shape:A,rank:a}},U=(e,t,r,o=1)=>Eo(e,t,r,"input",o),j=(e,t,r,o=1)=>Eo(e,t,r,"output",o),An=(e,t,r,o=1)=>Eo(e,t,r,"internal",o),Io=class{constructor(t,r){this.normalizedDispatchGroup=t;this.limits=r;this.internalVariables=[];this.variables=[];this.uniforms=[];this.variableIndex=0}guardAgainstOutOfBoundsWorkgroupSizes(t){return`if (global_idx >= ${typeof t=="number"?`${t}u`:t}) { return; }`}mainStart(t=or){let r=typeof t=="number"?t:t[0],o=typeof t=="number"?1:t[1],i=typeof t=="number"?1:t[2];if(r>this.limits.maxComputeWorkgroupSizeX||o>this.limits.maxComputeWorkgroupSizeY||i>this.limits.maxComputeWorkgroupSizeZ)throw new Error(`workgroup size [${r}, ${o}, ${i}] exceeds the maximum workgroup size [${this.limits.maxComputeWorkgroupSizeX}, ${this.limits.maxComputeWorkgroupSizeY}, ${this.limits.maxComputeWorkgroupSizeZ}].`);if(r*o*i>this.limits.maxComputeInvocationsPerWorkgroup)throw new Error(`workgroup size [${r}, ${o}, ${i}] exceeds the maximum workgroup invocations ${this.limits.maxComputeInvocationsPerWorkgroup}.`);let u=this.normalizedDispatchGroup[1]===1&&this.normalizedDispatchGroup[2]===1,a=u?`@builtin(global_invocation_id) global_id : vec3,\n @builtin(workgroup_id) workgroup_id : vec3,\n @builtin(local_invocation_id) local_id : vec3`:`@builtin(global_invocation_id) global_id : vec3,\n @builtin(local_invocation_id) local_id : vec3,\n @builtin(local_invocation_index) local_idx : u32,\n @builtin(workgroup_id) workgroup_id : vec3,\n @builtin(num_workgroups) num_workgroups : vec3`,c=u?"let global_idx = global_id.x; let local_idx = local_id.x;":`let global_idx = (workgroup_id.z * num_workgroups[0] * num_workgroups[1] +\n workgroup_id.y * num_workgroups[0] + workgroup_id.x) * ${r*o*i}u + local_idx;`;return`@compute @workgroup_size(${r}, ${o}, ${i})\n fn main(${a}) {\n ${c}\n `}appendVariableUniforms(t){t.rank!==0&&(t.shape.startsWith("uniforms.")&&this.uniforms.push({name:t.shape.replace("uniforms.",""),type:"u32",length:t.rank}),t.strides.startsWith("uniforms.")&&this.uniforms.push({name:t.strides.replace("uniforms.",""),type:"u32",length:t.rank}))}declareVariable(t,r){if(t.usage==="internal")throw new Error("cannot use internal variable with declareVariable(). use registerInternalVariables() instead.");this.variables.push(t),this.appendVariableUniforms(t);let o=t.usage==="input"?"read":"read_write",i=t.type.storage;return`@group(0) @binding(${r}) var ${t.name}: array<${i}>;`}declareVariables(...t){return t.map(r=>this.declareVariable(r,this.variableIndex++)).join(`\n`)}registerInternalVariable(t){if(t.usage!=="internal")throw new Error("cannot use input or output variable with registerInternalVariable(). use declareVariables() instead.");this.internalVariables.push(t),this.appendVariableUniforms(t)}registerInternalVariables(...t){return t.forEach(r=>this.registerInternalVariable(r)),this}registerUniform(t,r,o=1){return this.uniforms.push({name:t,type:r,length:o}),this}registerUniforms(t){return this.uniforms=this.uniforms.concat(t),this}uniformDeclaration(){if(this.uniforms.length===0)return"";let t=[];for(let{name:r,type:o,length:i}of this.uniforms)if(i&&i>4)o==="f16"?t.push(`@align(16) ${r}:array, ${Math.ceil(i/8)}>`):t.push(`${r}:array, ${Math.ceil(i/4)}>`);else{let u=i==null||i===1?o:`vec${i}<${o}>`;t.push(`${r}:${u}`)}return`\n struct Uniforms { ${t.join(", ")} };\n @group(0) @binding(${this.variableIndex}) var uniforms: Uniforms;`}get additionalImplementations(){return this.uniformDeclaration()+this.variables.map(t=>t.impl()).join(`\n`)+this.internalVariables.map(t=>t.impl()).join(`\n`)}get variablesInfo(){if(this.uniforms.length===0)return;let t=r=>[12,10,1,6][["u32","f16","f32","i32"].indexOf(r)];return this.uniforms.map(r=>[t(r.type),r.length??1])}},va=(e,t)=>new Io(e,t),_r=(e,t)=>{let r=e.length,o=[];for(let i=0;i1&&a===1&&o.unshift(u)}return o}});var Il,$a,Tl,El,yt,_a,Sa,Sr=Y(()=>{"use strict";ye();Se();Ze();_e();Il=e=>{if(!e||e.length!==1)throw new Error("Transpose requires 1 input.")},$a=(e,t)=>t&&t.length!==e?[...new Array(e).keys()].reverse():t,Tl=(e,t)=>M.sortBasedOnPerm(e,$a(e.length,t)),El=(e,t,r,o)=>{let i=[];i.push(`fn perm(i: ${o.type.indices}) -> ${r.type.indices} {\n var a: ${r.type.indices};`);for(let u=0;u{let r=e.dataType,o=e.dims.length,i=$a(o,t),u=Tl(e.dims,i),a=j("output",r,u.length),c=U("a",r,o),p=h=>`\n ${h.registerUniform("output_size","u32").declareVariables(c,a)}\n\n ${El(i,o,c,a)}\n\n ${h.mainStart()}\n ${h.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}\n\n let indices = ${a.offsetToIndices("global_idx")};\n let aIndices = perm(indices);\n\n ${a.setByOffset("global_idx",c.getByIndices("aIndices"))}\n }`;return{name:"Transpose",shaderCache:{hint:`${t}`,inputDependencies:["rank"]},getRunData:h=>{let d=M.size(u);return{outputs:[{dims:u,dataType:h[0].dataType}],dispatchGroup:{x:Math.ceil(d/64)},programUniforms:[{type:12,data:d},...Z(h[0].dims,u)]}},getShaderSource:p}},_a=(e,t)=>{Il(e.inputs),e.compute(yt(e.inputs[0],t.perm))},Sa=e=>ve({perm:e.perm})});var Pl,kl,Ol,Rl,Bl,Dl,zl,Ml,Ul,Vl,Tt,xa,Ca,Aa,Ia,Ta,Ea,Pa,ka,Oa,Ra,Ba=Y(()=>{"use strict";ye();Se();_e();In();Sr();Pl={max:"select(bestValue, candidate, candidate > bestValue)",min:"select(bestValue, candidate, candidate < bestValue)",mean:"bestValue + candidate",sum:"bestValue + candidate",prod:"bestValue * candidate",sumSquare:"bestValue + candidate * candidate",logSumExp:"bestValue + exp(candidate)",l1:"bestValue + abs(candidate)",l2:"bestValue + candidate * candidate",logSum:"bestValue + candidate"},kl={max:"select(bestValue, candidate, candidate > bestValue)",min:"select(bestValue, candidate, candidate < bestValue)",mean:"bestValue + candidate",sum:"bestValue + candidate",prod:"bestValue * candidate",sumSquare:"bestValue + candidate",logSumExp:"bestValue + candidate",l1:"bestValue + candidate",l2:"bestValue + candidate",logSum:"bestValue + candidate"},Ol={max:"_A[offset]",min:"_A[offset]",mean:"0",sum:"0",prod:"1",sumSquare:"0",logSumExp:"0",l1:"0",l2:"0",logSum:"0"},Rl={max:"bestValue",min:"bestValue",sum:"bestValue",prod:"bestValue",sumSquare:"bestValue",logSumExp:"log(bestValue)",l1:"bestValue",l2:"sqrt(bestValue)",logSum:"log(bestValue)"},Bl=(e,t)=>{let r=[];for(let o=t-e;o{let r=[],o=e.length;for(let u=0;ue[u]);return[r,i]},zl=(e,t)=>{let r=e.length+t.length,o=[],i=0;for(let u=0;u{for(let r=0;r{let r=[];if(!Ml(e,t)){for(let o=0;or.push(o))}return r},Vl=(e,t,r,o,i,u,a)=>{let c=r[0].dims,p=M.size(u),h=M.size(a),d=U("_A",r[0].dataType,c),y=j("output",i,u),w=32,_=`\n var aBestValues : array;\n `;return{name:e,shaderCache:t,getShaderSource:S=>`\n ${S.registerUniform("reduceSize","u32").declareVariables(d,y)}\n ${_}\n fn DIV_CEIL(a : u32, b : u32) -> u32 {\n return ((a - 1u) / b + 1u);\n }\n ${S.mainStart(w)}\n\n let outputIndex = global_idx / ${w};\n let offset = outputIndex * uniforms.reduceSize;\n\n var bestValue = f32(${Ol[o]});\n let Length = uniforms.reduceSize;\n for (var k = local_idx; k < Length; k = k + ${w}) {\n let candidate = f32(${d.getByOffset("offset + k")});\n bestValue = ${Pl[o]};\n }\n aBestValues[local_idx] = bestValue;\n workgroupBarrier();\n\n var reduceSize = min(Length, ${w}u);\n for (var currentSize = reduceSize / 2u; reduceSize > 1u;\n currentSize = reduceSize / 2u) {\n let interval = DIV_CEIL(reduceSize, 2u);\n if (local_idx < currentSize) {\n let candidate = aBestValues[local_idx + interval];\n bestValue = ${kl[o]};\n aBestValues[local_idx] = bestValue;\n }\n reduceSize = interval;\n workgroupBarrier();\n }\n\n if (local_idx == 0u) {\n ${y.setByOffset("outputIndex",`${o==="mean"?`${y.type.storage}(bestValue / f32(uniforms.reduceSize))`:`${y.type.storage}(${Rl[o]})`}`)};\n }\n }`,getRunData:()=>({outputs:[{dims:u,dataType:i}],dispatchGroup:{x:p},programUniforms:[{type:12,data:h}]})}},Tt=(e,t,r,o)=>{let i=e.inputs.length===1?r:Po(e.inputs,r),u=i.axes;u.length===0&&!i.noopWithEmptyAxes&&(u=e.inputs[0].dims.map((_,v)=>v));let a=M.normalizeAxes(u,e.inputs[0].dims.length),c=a,p=e.inputs[0],h=Ul(c,e.inputs[0].dims.length);h.length>0&&(p=e.compute(yt(e.inputs[0],h),{inputs:[0],outputs:[-1]})[0],c=Bl(c.length,p.dims.length));let[d,y]=Dl(p.dims,c),w=d;i.keepDims&&(w=zl(d,a)),e.compute(Vl(t,{hint:i.cacheKey,inputDependencies:["type"]},[p],o,e.inputs[0].dataType,w,y),{inputs:[p]})},xa=(e,t)=>{Tt(e,"ReduceMeanShared",t,"mean")},Ca=(e,t)=>{Tt(e,"ReduceL1Shared",t,"l1")},Aa=(e,t)=>{Tt(e,"ReduceL2Shared",t,"l2")},Ia=(e,t)=>{Tt(e,"ReduceLogSumExpShared",t,"logSumExp")},Ta=(e,t)=>{Tt(e,"ReduceMaxShared",t,"max")},Ea=(e,t)=>{Tt(e,"ReduceMinShared",t,"min")},Pa=(e,t)=>{Tt(e,"ReduceProdShared",t,"prod")},ka=(e,t)=>{Tt(e,"ReduceSumShared",t,"sum")},Oa=(e,t)=>{Tt(e,"ReduceSumSquareShared",t,"sumSquare")},Ra=(e,t)=>{Tt(e,"ReduceLogSumShared",t,"logSum")}});var Et,Wl,Tn,Po,Pt,Nl,Gl,Hl,Ll,Fl,ql,jl,Kl,Yl,Zl,kt,Da,za,Ma,Ua,Va,Wa,Na,Ga,Ha,La,In=Y(()=>{"use strict";ye();Se();Ze();_e();Ba();Et=e=>{if(!e||e.length===0||e.length>2)throw new Error("Reduce op requires 1 or 2 inputs.");if(e.length===2&&e[1].dims.length!==1)throw new Error("Invalid axes input dims.")},Wl=e=>["","",`var value = ${e.getByIndices("input_indices")};`,""],Tn=(e,t,r,o,i,u,a=!1,c=!1)=>{let p=[],h=r[0].dims,d=h.length,y=M.normalizeAxes(i,d),w=!c&&y.length===0;h.forEach((A,I)=>{w||y.indexOf(I)>=0?a&&p.push(1):p.push(A)});let _=p.length,v=M.size(p);return{name:e,shaderCache:t,getShaderSource:A=>{let I=[],x=U("_A",r[0].dataType,d),E=j("output",u,_),P=o(x,E,y),O=P[2];for(let R=0,L=0;R=0?(a&&L++,O=`for(var j${R}: u32 = 0; j${R} < ${h[R]}; j${R}++) {\n ${P[2].includes("last_index")?`let last_index = j${R};`:""}\n ${x.indicesSet("input_indices",R,`j${R}`)}\n ${O}\n }`):(I.push(`${x.indicesSet("input_indices",R,E.indicesGet("output_indices",L))};`),L++);return`\n\n ${A.registerUniform("output_size","u32").declareVariables(x,E)}\n\n ${A.mainStart()}\n ${A.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}\n var input_indices: ${x.type.indices};\n let output_indices = ${E.offsetToIndices("global_idx")};\n\n ${I.join(`\n`)}\n ${P[0]} // init ops for reduce max/min\n ${P[1]}\n ${O}\n ${P[3]}\n ${P.length===4?E.setByOffset("global_idx","value"):P.slice(4).join(`\n`)}\n }`},getRunData:()=>({outputs:[{dims:p,dataType:u}],dispatchGroup:{x:Math.ceil(v/64)},programUniforms:[{type:12,data:v},...Z(h,p)]})}},Po=(e,t)=>{let r=[];return e[1].dims[0]>0&&e[1].getBigInt64Array().forEach(o=>r.push(Number(o))),ve({axes:r,keepDims:t.keepDims,noopWithEmptyAxes:t.noopWithEmptyAxes})},Pt=(e,t,r,o)=>{let i=e.inputs,u=i.length===1?r:Po(i,r);e.compute(Tn(t,{hint:u.cacheKey,inputDependencies:["rank"]},[i[0]],u.noopWithEmptyAxes&&u.axes.length===0?Wl:o,u.axes,i[0].dataType,u.keepDims,u.noopWithEmptyAxes),{inputs:[0]})},Nl=(e,t)=>{Et(e.inputs),Pt(e,"ReduceLogSum",t,(o,i)=>[`var value = ${i.type.storage}(0);`,"",`value += ${o.getByIndices("input_indices")};`,"value = log(value);"])},Gl=(e,t)=>{Et(e.inputs),Pt(e,"ReduceL1",t,(o,i)=>[`var value = ${i.type.storage}(0);`,"",`value += abs(${o.getByIndices("input_indices")});`,""])},Hl=(e,t)=>{Et(e.inputs),Pt(e,"ReduceL2",t,(o,i)=>[`var t = ${i.type.value}(0); var value = ${i.type.value}(0);`,"",`t = ${o.getByIndices("input_indices")}; value += (t * t);`,"value = sqrt(value);"])},Ll=(e,t)=>{Et(e.inputs),Pt(e,"ReduceLogSumExp",t,(o,i)=>[`var value = ${i.type.storage}(0);`,"",`value += exp(${o.getByIndices("input_indices")});`,"value = log(value);"])},Fl=(e,t)=>{Et(e.inputs),Pt(e,"ReduceMax",t,(o,i,u)=>{let a=[];for(let c=0;c=0||u.length===0)&&a.push(o.indicesSet("input_indices",c,0));return[`${a.join(`\n`)}`,`var value = ${o.getByIndices("input_indices")};`,`value = max(value, ${o.getByIndices("input_indices")});`,""]})},ql=(e,t)=>{Et(e.inputs),Pt(e,"ReduceMean",t,(o,i,u)=>{let a=1;for(let c=0;c=0||u.length===0)&&(a*=e.inputs[0].dims[c]);return["var sum = f32(0);","",`sum += f32(${o.getByIndices("input_indices")});`,`let value = ${i.type.value}(sum / ${a});`]})},jl=(e,t)=>{Et(e.inputs),Pt(e,"ReduceMin",t,(o,i,u)=>{let a=[];for(let c=0;c=0||u.length===0)&&a.push(`input_indices[${c}] = 0;`);return[`${a.join(`\n`)}`,`var value = ${o.getByIndices("input_indices")};`,`value = min(value, ${o.getByIndices("input_indices")});`,""]})},Kl=(e,t)=>{Et(e.inputs),Pt(e,"ReduceProd",t,(o,i)=>[`var value = ${i.type.storage}(1);`,"",`value *= ${o.getByIndices("input_indices")};`,""])},Yl=(e,t)=>{Et(e.inputs),Pt(e,"ReduceSum",t,(o,i)=>[`var value = ${i.type.storage}(0);`,"",`value += ${o.getByIndices("input_indices")};`,""])},Zl=(e,t)=>{Et(e.inputs),Pt(e,"ReduceSumSquare",t,(o,i)=>[`var t = ${i.type.value}(0); var value = ${i.type.value}(0);`,"",`t = ${o.getByIndices("input_indices")}; value += t * t;`,""])},kt=(e,t,r)=>{if(t.length===0)return r;let o=1,i=1;for(let u=0;u1024},Da=(e,t)=>{kt(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?ql(e,t):xa(e,t)},za=(e,t)=>{kt(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?Gl(e,t):Ca(e,t)},Ma=(e,t)=>{kt(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?Hl(e,t):Aa(e,t)},Ua=(e,t)=>{kt(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?Ll(e,t):Ia(e,t)},Va=(e,t)=>{kt(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?Fl(e,t):Ta(e,t)},Wa=(e,t)=>{kt(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?jl(e,t):Ea(e,t)},Na=(e,t)=>{kt(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?Kl(e,t):Pa(e,t)},Ga=(e,t)=>{kt(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?Yl(e,t):ka(e,t)},Ha=(e,t)=>{kt(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?Zl(e,t):Oa(e,t)},La=(e,t)=>{kt(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?Nl(e,t):Ra(e,t)}});var Fa,qa,ja,ko,Ka=Y(()=>{"use strict";ye();Ze();In();Fa=e=>{if(!e||e.length===0||e.length>2)throw new Error("ArgMinMaxOp op requires 1 or 2 inputs.");if(e[0].dataType!==1)throw new Error("Invalid input type.")},qa=(e,t)=>{Fa(e.inputs);let r=(o,i,u)=>{let a=[];for(let c=0;c=0||u.length===0)&&a.push(`input_indices[${c}] = 0;`);return[`${a.join(`\n`)}`,`var value = ${o.getByIndices("input_indices")};\nvar best_index : i32 = 0;`,`if (${o.getByIndices("input_indices")} ${t.selectLastIndex>0?"<=":"<"} value) {\n value = ${o.getByIndices("input_indices")};\n best_index = i32(last_index);\n }`,"",i.setByOffset("global_idx","best_index")]};e.compute(Tn("ArgMin",{hint:t.cacheKey,inputDependencies:["rank"]},[e.inputs[0]],r,[t.axis],7,t.keepDims),{inputs:[0]})},ja=(e,t)=>{Fa(e.inputs);let r=(o,i,u)=>{let a=[];for(let c=0;c=0||u.length===0)&&a.push(`input_indices[${c}] = 0;`);return[`${a.join(`\n`)}`,`var value = ${o.getByIndices("input_indices")};\nvar best_index : i32 = 0;`,`if (${o.getByIndices("input_indices")} ${t.selectLastIndex>0?">=":">"} value) {\n value = ${o.getByIndices("input_indices")};\n best_index = i32(last_index);\n }`,"",i.setByOffset("global_idx","best_index")]};e.compute(Tn("argMax",{hint:t.cacheKey,inputDependencies:["rank"]},[e.inputs[0]],r,[t.axis],7,t.keepDims),{inputs:[0]})},ko=e=>ve(e)});var Xl,Ql,Jl,En,Ya,Za,Oo=Y(()=>{"use strict";ye();Se();Ze();_e();Xl=(e,t)=>{if(!e||e.length<1)throw new Error("too few inputs");let r=0,o=e[r],i=o.dataType,u=o.dims.length;e.forEach((a,c)=>{if(c!==r){if(a.dataType!==i)throw new Error("input tensors should be one type");if(a.dims.length!==u)throw new Error("input tensors should have the same shape");a.dims.forEach((p,h)=>{if(h!==t&&p!==o.dims[h])throw new Error("non concat dimensions must match")})}})},Ql=(e,t)=>`\n fn calculateInputIndex(index: u32) -> u32 {\n let sizeInConcatAxis = array(${t});\n for (var i: u32 = 0u; i < ${e}; i += 1u ) {\n if (index < sizeInConcatAxis[i]) {\n return i;\n }\n }\n return ${e}u;\n }`,Jl=(e,t)=>{let r=e.length,o=[];for(let i=0;i{let i=M.size(r),u=new Array(e.length),a=new Array(e.length),c=0,p=[],h=[],d=[{type:12,data:i}];for(let S=0;S`uniforms.sizeInConcatAxis${S}`).join(","),v=S=>`\n\n ${(()=>{S.registerUniform("outputSize","u32");for(let A=0;A(${_});\n ${w} -= sizeInConcatAxis[inputIndex - 1u];\n }\n\n ${Jl(a,y)}\n }`;return{name:"Concat",shaderCache:{hint:`${t}`,inputDependencies:p},getRunData:()=>({outputs:[{dims:r,dataType:o}],dispatchGroup:{x:Math.ceil(i/64)},programUniforms:d}),getShaderSource:v}},Ya=(e,t)=>{let r=e.inputs,o=r[0].dims,i=M.normalizeAxis(t.axis,o.length);Xl(r,i);let u=o.slice();u[i]=r.reduce((c,p)=>c+(p.dims.length>i?p.dims[i]:0),0);let a=r.filter(c=>M.size(c.dims)>0);e.compute(En(a,i,u,r[0].dataType),{inputs:a})},Za=e=>ve({axis:e.axis})});var ec,tc,rc,nc,Pn,oc,Xa,Ro=Y(()=>{"use strict";ye();_n();_e();Oo();ec=(e,t)=>{let r=e[0],o=e[1],i=e[2],u=e[3],a=e[4],c=e[5];if(a&&c)throw new Error("Attention cannot have both past and relative_position_bias");if(r.dims.length!==3)throw new Error(\'Input "input" must have 3 dimensions\');let p=r.dims[0],h=r.dims[1],d=r.dims[2];if(i.dims.length!==1)throw new Error(\'Input "bias" is expected to have 1 dimensions\');if(o.dims.length!==2)throw new Error(\'Input "weights" is expected to have 2 dimensions\');if(o.dims[0]!==d)throw new Error("Input 1 dimension 0 should have same length as dimension 2 of input 0");if(i.dims[0]!==o.dims[1])throw new Error(\'Input "bias" dimension 0 should have same length as dimension 1 of input "weights"\');let y=i.dims[0]/3,w=y,_=w;if(t.qkvHiddenSizes.length>0){if(t.qkvHiddenSizes.length!==3)throw new Error("qkv_hidden_sizes attribute should have 3 elements");for(let E of t.qkvHiddenSizes)if(E%t.numHeads!==0)throw new Error("qkv_hidden_sizes should be divisible by num_heads");y=t.qkvHiddenSizes[0],w=t.qkvHiddenSizes[1],_=t.qkvHiddenSizes[2]}let v=h;if(y!==w)throw new Error("qkv_hidden_sizes first element should be same as the second");if(i.dims[0]!==y+w+_)throw new Error(\'Input "bias" dimension 0 should have same length as sum of Q/K/V hidden sizes\');let S=0;if(a){if(w!==_)throw new Error(\'Input "past" expect k_hidden_size == v_hidden_size\');if(a.dims.length!==5)throw new Error(\'Input "past" must have 5 dimensions\');if(a.dims[0]!==2)throw new Error(\'Input "past" first dimension must be 2\');if(a.dims[1]!==p)throw new Error(\'Input "past" second dimension must be batch_size\');if(a.dims[2]!==t.numHeads)throw new Error(\'Input "past" third dimension must be num_heads\');if(a.dims[4]!==w/t.numHeads)throw new Error(\'Input "past" fifth dimension must be k_hidden_size / num_heads\');t.pastPresentShareBuffer||(S=a.dims[3])}let A=v+S,I=-1,x=0;if(u)throw new Error("Mask not supported");if(a)throw new Error("past is not supported");return{batchSize:p,sequenceLength:h,pastSequenceLength:S,kvSequenceLength:v,totalSequenceLength:A,maxSequenceLength:I,inputHiddenSize:d,hiddenSize:y,vHiddenSize:_,headSize:Math.floor(y/t.numHeads),vHeadSize:Math.floor(_/t.numHeads),numHeads:t.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:t.maskFilterValue,maskType:x,scale:t.scale,broadcastResPosBias:!1,passPastInKv:!1,qkvFormat:1}},tc=(e,t,r,o)=>{let i=Me(o),u=64,a=o/i;a{let _=j("x",t.dataType,t.dims,i),S=[{name:"d_inv",type:et(t.dataType)},{name:"d_comp",type:"u32"},{name:"elements_per_thread",type:"u32"}];return`\n var thread_max: array;\n var thread_sum: array;\n ${w.registerUniforms(S).declareVariables(_)}\n ${w.mainStart([u,1,1])}\n let local_offset = local_idx * uniforms.elements_per_thread;\n let offset = workgroup_id.x * uniforms.d_comp + local_offset;\n\n var thread_max_vector = ${d}(-3.402823e+38f);\n for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < uniforms.d_comp; i++) {\n thread_max_vector = max(${d}(x[offset + i]), thread_max_vector);\n }\n thread_max[local_idx] = ${(()=>{switch(i){case 1:return"thread_max_vector";case 2:return"max(thread_max_vector.x, thread_max_vector.y)";case 4:return"max(max(thread_max_vector.x, thread_max_vector.y), max(thread_max_vector.z, thread_max_vector.w))";default:throw new Error(`Unsupported components: ${i}`)}})()};\n workgroupBarrier();\n\n var max_value = f32(-3.402823e+38f);\n for (var i = 0u; i < ${u}; i++) {\n max_value = max(thread_max[i], max_value);\n }\n\n var sum_vector = ${d}(0);\n for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < uniforms.d_comp; i++) {\n sum_vector += exp(${d}(x[offset + i]) - max_value);\n }\n thread_sum[local_idx] = ${(()=>{switch(i){case 1:return"sum_vector";case 2:return"sum_vector.x + sum_vector.y";case 4:return"sum_vector.x + sum_vector.y + sum_vector.z + sum_vector.w";default:throw new Error(`Unsupported components: ${i}`)}})()};\n workgroupBarrier();\n\n var sum: f32 = 0;\n for (var i = 0u; i < ${u}; i++) {\n sum += thread_sum[i];\n }\n\n if (sum == 0) {\n for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < uniforms.d_comp; i++) {\n x[offset + i] = ${_.type.value}(uniforms.d_inv);\n }\n } else {\n for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < uniforms.d_comp; i++) {\n var f32input = ${d}(x[offset + i]);\n x[offset + i] = ${_.type.value}(exp(f32input - max_value) / sum);\n }\n }\n }`};return{name:"AttentionProbsSoftmax",shaderCache:{hint:`${u};${h};${i}`},getShaderSource:y,getRunData:()=>({outputs:[],dispatchGroup:{x:r},programUniforms:p})}},rc=(e,t,r,o,i,u,a)=>{let c=a+i.kvSequenceLength,p=[i.batchSize,i.numHeads,i.sequenceLength,c],h=u.scale===0?1/Math.sqrt(i.headSize):u.scale,d=Me(i.headSize),y=i.headSize/d,w=12,_={x:Math.ceil(c/w),y:Math.ceil(i.sequenceLength/w),z:i.batchSize*i.numHeads},v=[{type:12,data:i.sequenceLength},{type:12,data:y},{type:12,data:c},{type:12,data:i.numHeads},{type:1,data:h}],S=o?["type","type","type"]:["type","type"],A=I=>{let x=U("q",t.dataType,t.dims,d),E=U("key",r.dataType,r.dims,d),P=[x,E];o&&P.push(U("relative_position_bias",o.dataType,o.dims));let O=j("output",t.dataType,p),R=et(1,d),L=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"alpha",type:"f32"}];return`\n const TILE_SIZE = ${w}u;\n\n var tileQ: array<${x.type.storage}, ${w*w}>;\n var tileK: array<${x.type.storage}, ${w*w}>;\n ${I.registerUniforms(L).declareVariables(...P,O)}\n ${I.mainStart([w,w,1])}\n // x holds the N and y holds the M\n let headIdx = workgroup_id.z;\n let m = workgroup_id.y * TILE_SIZE;\n let n = workgroup_id.x * TILE_SIZE;\n let qOffset = uniforms.M * uniforms.K * headIdx + m * uniforms.K;\n let kOffset = uniforms.N * uniforms.K * headIdx + n * uniforms.K;\n\n var value = ${R}(0);\n for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {\n if (global_id.y < uniforms.M && w + local_id.x < uniforms.K) {\n tileQ[TILE_SIZE * local_id.y + local_id.x] = q[qOffset + local_id.y * uniforms.K + w + local_id.x];\n }\n if (n + local_id.y < uniforms.N && w + local_id.x < uniforms.K) {\n tileK[TILE_SIZE * local_id.y + local_id.x] = key[kOffset + local_id.y * uniforms.K + w + local_id.x];\n }\n workgroupBarrier();\n\n for (var k: u32 = 0u; k < TILE_SIZE && w+k < uniforms.K; k++) {\n value += ${R}(tileQ[TILE_SIZE * local_id.y + k] * tileK[TILE_SIZE * local_id.x + k]);\n }\n\n workgroupBarrier();\n }\n\n let headOffset = headIdx * uniforms.M * uniforms.N;\n if (global_id.y < uniforms.M && global_id.x < uniforms.N) {\n let outputIdx = headOffset + global_id.y * uniforms.N + global_id.x;\n var sum: f32 = ${(()=>{switch(d){case 1:return"value";case 2:return"value.x + value.y";case 4:return"value.x + value.y + value.z + value.w";default:throw new Error(`Unsupported components: ${d}`)}})()};\n output[outputIdx] = ${O.type.value} (sum * uniforms.alpha) + ${o?"relative_position_bias[outputIdx]":"0.0"};\n }\n }`};return{name:"AttentionProbs",shaderCache:{hint:`${d}`,inputDependencies:S},getRunData:()=>({outputs:[{dims:p,dataType:t.dataType,gpuDataType:0}],dispatchGroup:_,programUniforms:v}),getShaderSource:A}},nc=(e,t,r,o,i)=>{let u=i+o.kvSequenceLength,a=[o.batchSize,o.sequenceLength,o.vHiddenSize],c=12,p={x:Math.ceil(o.vHeadSize/c),y:Math.ceil(o.sequenceLength/c),z:o.batchSize*o.numHeads},h=[{type:12,data:o.sequenceLength},{type:12,data:u},{type:12,data:o.vHeadSize},{type:12,data:o.numHeads},{type:12,data:o.vHiddenSize}];return{name:"AttentionScore",shaderCache:{inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:a,dataType:t.dataType,gpuDataType:0}],dispatchGroup:p,programUniforms:h}),getShaderSource:w=>{let _=U("probs",t.dataType,t.dims),v=U("v",r.dataType,r.dims),S=j("output",t.dataType,a),A=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"v_hidden_size",type:"u32"}];return`\n const TILE_SIZE = ${c}u;\n var tileQ: array<${_.type.value}, ${c*c}>;\n var tileK: array<${_.type.value}, ${c*c}>;\n ${w.registerUniforms(A).declareVariables(_,v,S)}\n ${w.mainStart([c,c,1])}\n let headIdx = workgroup_id.z;\n let m = global_id.y;\n let n = global_id.x;\n\n let offsetA = headIdx * (uniforms.M * uniforms.K) + m * uniforms.K;\n let offsetB = headIdx * (uniforms.N * uniforms.K) + n;\n\n var value = ${_.type.storage}(0);\n for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {\n if (m < uniforms.M && w + local_id.x < uniforms.K) {\n tileQ[TILE_SIZE * local_id.y + local_id.x] = probs[offsetA + w + local_id.x];\n }\n if (n < uniforms.N && w + local_id.y < uniforms.K) {\n tileK[TILE_SIZE * local_id.y + local_id.x] = v[offsetB + (w + local_id.y) * uniforms.N];\n }\n workgroupBarrier();\n for (var k: u32 = 0u; k < TILE_SIZE && w+k < uniforms.K; k++) {\n value += tileQ[TILE_SIZE * local_id.y + k] * tileK[TILE_SIZE * k + local_id.x];\n }\n workgroupBarrier();\n }\n\n // we need to transpose output from BNSH_v to BSND_v\n let batchIdx = workgroup_id.z / uniforms.num_heads;\n let currentBatchHeadNumber = workgroup_id.z % uniforms.num_heads;\n if (m < uniforms.M && n < uniforms.N) {\n let outputIdx = batchIdx * uniforms.M * uniforms.v_hidden_size + m * uniforms.v_hidden_size\n + currentBatchHeadNumber * uniforms.N + n;\n output[outputIdx] = value;\n }\n }`}}},Pn=(e,t,r,o,i,u,a,c,p,h,d)=>{let y=e.outputCount>1,w=e.outputCount>2,_=y&&w?h.pastSequenceLength:0,v=_+h.kvSequenceLength,S=[h.batchSize,h.numHeads,v,h.headSize],A=a?[a,r]:[r],I=y?e.compute(En(A,2,S,r.dataType),{inputs:A,outputs:[1]})[0]:r,x=[h.batchSize,h.numHeads,v,h.headSize],E=c?[c,o]:[o],P=w?e.compute(En(E,2,x,o.dataType),{inputs:E,outputs:[2]})[0]:o,O=[t,I];p&&O.push(p);let R=e.compute(rc(e,t,I,p,h,d,_),{inputs:O,outputs:[-1]})[0];e.compute(tc(e,R,h.batchSize*h.numHeads*h.sequenceLength,v),{inputs:[R],outputs:[]});let L=[R,P];e.compute(nc(e,R,P,h,_),{inputs:L,outputs:[0]})},oc=(e,t)=>{let r=[t.batchSize,t.numHeads,t.sequenceLength,t.headSize],o=t.sequenceLength,i=t.inputHiddenSize,u=t.headSize,a=12,c={x:Math.ceil(t.headSize/a),y:Math.ceil(t.sequenceLength/a),z:t.batchSize*t.numHeads},p=[e.inputs[0],e.inputs[1],e.inputs[2]],h=[{type:12,data:o},{type:12,data:i},{type:12,data:u},{type:12,data:t.numHeads},{type:12,data:t.headSize},{type:12,data:t.hiddenSize},{type:12,data:t.hiddenSize+t.hiddenSize+t.vHiddenSize}],d=y=>{let w=j("output_q",p[0].dataType,r),_=j("output_k",p[0].dataType,r),v=j("output_v",p[0].dataType,r),S=U("input",p[0].dataType,p[0].dims),A=U("weight",p[1].dataType,p[1].dims),I=U("bias",p[2].dataType,p[2].dims),x=S.type.storage,E=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"hidden_size",type:"u32"},{name:"ldb",type:"u32"}];return`\n const TILE_SIZE = ${a}u;\n var tileInput: array<${x}, ${a*a}>;\n var tileWeightQ: array<${x}, ${a*a}>;\n var tileWeightK: array<${x}, ${a*a}>;\n var tileWeightV: array<${x}, ${a*a}>;\n ${y.registerUniforms(E).declareVariables(S,A,I,w,_,v)}\n ${y.mainStart([a,a,1])}\n let batchIndex = workgroup_id.z / uniforms.num_heads;\n let headNumber = workgroup_id.z % uniforms.num_heads;\n let m = global_id.y;\n let n = global_id.x;\n\n let inputOffset = batchIndex * (uniforms.M * uniforms.K) + m * uniforms.K;\n let biasOffsetQ = headNumber * uniforms.head_size;\n let biasOffsetK = uniforms.hidden_size + biasOffsetQ;\n let biasOffsetV = uniforms.hidden_size + biasOffsetK;\n\n var valueQ = ${x}(0);\n var valueK = ${x}(0);\n var valueV = ${x}(0);\n for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {\n if (m < uniforms.M && w + local_id.x < uniforms.K) {\n tileInput[TILE_SIZE * local_id.y + local_id.x] = input[inputOffset + w + local_id.x];\n }\n if (n < uniforms.N && w + local_id.y < uniforms.K) {\n let offset = n + (w + local_id.y) * uniforms.ldb;\n tileWeightQ[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetQ + offset];\n tileWeightK[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetK + offset];\n tileWeightV[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetV + offset];\n }\n workgroupBarrier();\n for (var k: u32 = 0u; k({outputs:[{dims:r,dataType:e.inputs[0].dataType,gpuDataType:0},{dims:r,dataType:e.inputs[0].dataType,gpuDataType:0},{dims:r,dataType:e.inputs[0].dataType,gpuDataType:0}],dispatchGroup:c,programUniforms:h}),getShaderSource:d},{inputs:p,outputs:[-1,-1,-1]})},Xa=(e,t)=>{let r=ec(e.inputs,t),[o,i,u]=oc(e,r);return Pn(e,o,i,u,e.inputs[4],void 0,void 0,void 0,e.inputs[5],r,t)}});var ic,ac,sc,Qa,Ja=Y(()=>{"use strict";$r();ye();Se();Ze();_e();ic=(e,t)=>{if(!e||e.length!==5)throw new Error("BatchNormalization requires 5 inputs");let r=(o,i,u)=>{let a=i.length;if(a!==o.length)throw new Error(`${u}: num dimensions != ${a}`);i.forEach((c,p)=>{if(c!==o[p])throw new Error(`${u}: dim[${p}] do not match`)})};if(e[0].dims.length>1){let o=t.format==="NHWC"?t.spatial?e[0].dims.slice(-1):e[0].dims.slice(-1).concat(e[0].dims.slice(1,e[0].dims.length-1)):e[0].dims.slice(1,t.spatial?2:void 0);r(e[1].dims,o,"Invalid input scale"),r(e[2].dims,o,"Invalid input B"),r(e[3].dims,o,"Invalid input mean"),r(e[4].dims,o,"Invalid input var")}else r(e[1].dims,[1],"Invalid input scale"),r(e[2].dims,[1],"Invalid input B"),r(e[3].dims,[1],"Invalid input mean"),r(e[4].dims,[1],"Invalid input var")},ac=(e,t)=>{let{epsilon:r,spatial:o,format:i}=t,u=e[0].dims,a=o?Me(u[u.length-1]):1,c=i==="NHWC"&&u.length>1?a:1,p=M.size(u)/a,h=o,d=h?u.length:u,y=U("x",e[0].dataType,e[0].dims,a),w=U("scale",e[1].dataType,e[1].dims,c),_=U("bias",e[2].dataType,e[2].dims,c),v=U("inputMean",e[3].dataType,e[3].dims,c),S=U("inputVar",e[4].dataType,e[4].dims,c),A=j("y",e[0].dataType,d,a),I=()=>{let E="";if(o)E=`let cOffset = ${u.length===1?"0u":i==="NHWC"?`outputIndices[${u.length-1}] / ${a}`:"outputIndices[1]"};`;else if(i==="NCHW")E=`\n ${A.indicesSet("outputIndices","0","0")}\n let cOffset = ${A.indicesToOffset("outputIndices")};`;else{E=`var cIndices = ${w.type.indices}(0);\n cIndices[0] = outputIndices[${u.length-1}];`;for(let P=1;P`\n const epsilon = ${r};\n ${E.registerUniform("outputSize","u32").declareVariables(y,w,_,v,S,A)}\n ${E.mainStart()}\n ${E.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}\n var outputIndices = ${A.offsetToIndices(`global_idx * ${a}`)};\n ${I()}\n let scale = ${w.getByOffset("cOffset")};\n let bias = ${_.getByOffset("cOffset")};\n let inputMean = ${v.getByOffset("cOffset")};\n let inputVar = ${S.getByOffset("cOffset")};\n let x = ${y.getByOffset("global_idx")};\n let value = (x - inputMean) * inverseSqrt(inputVar + epsilon) * scale + bias;\n ${A.setByOffset("global_idx","value")}\n }`;return{name:"BatchNormalization",shaderCache:{hint:`${t.epsilon}_${t.format}_${o}_${a}`,inputDependencies:h?["rank","type","type","type","type"]:void 0},getShaderSource:x,getRunData:()=>({outputs:[{dims:e[0].dims,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(p/64)},programUniforms:h?[{type:12,data:p},...Z(u)]:[{type:12,data:p}]})}},sc=e=>ve(e),Qa=(e,t)=>{let{inputs:r,outputCount:o}=e,i=sc({...t,outputCount:o});if(vr.webgpu.validateInputContent&&ic(r,i),t.trainingMode)throw new Error("BatchNormalization trainingMode is not supported yet.");e.compute(ac(r,i))}});var uc,dc,es,ts=Y(()=>{"use strict";Se();_e();uc=e=>{if(e[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![320,640,1280].includes(e[0].dims[2]))throw new Error("number of channels should be 320, 640 or 1280");if(e[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(e[0].dims[2]!==e[1].dims[0])throw new Error("last dimension of input and bias are not the same")},dc=e=>{let t=e[0].dims,r=e[0].dims[2],o=M.size(t)/4,i=e[0].dataType,u=U("input",i,t,4),a=U("bias",i,[r],4),c=U("residual",i,t,4),p=j("output",i,t,4);return{name:"BiasAdd",getRunData:()=>({outputs:[{dims:t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(o/64)}}),getShaderSource:d=>`\n const channels = ${r}u / 4;\n ${d.declareVariables(u,a,c,p)}\n\n ${d.mainStart()}\n ${d.guardAgainstOutOfBoundsWorkgroupSizes(o)}\n let value = ${u.getByOffset("global_idx")}\n + ${a.getByOffset("global_idx % channels")} + ${c.getByOffset("global_idx")};\n ${p.setByOffset("global_idx","value")}\n }`}},es=e=>{uc(e.inputs),e.compute(dc(e.inputs))}});var lc,ke,rs,ns,os,is,as,ss,us,ds,ls,cc,cs,ps,ms,fs,kn,hs,On,gs,ys,bs,ws,vs,$s,_s,Ss,xs,Cs,As,Is,Ts,Es,Ps,ks,Os,Rs,Bo,Do,Bs,Ds,zs,Rn=Y(()=>{"use strict";ye();Se();Ze();_e();lc=(e,t,r,o,i,u)=>{let a=Math.ceil(t/4),c="";typeof i=="string"?c=`${i}(a)`:c=i("a");let p=U("inputData",r,[a],4),h=j("outputData",o,[a],4);return`\n ${e.registerUniform("vec_size","u32").declareVariables(p,h)}\n\n ${u??""}\n\n ${e.mainStart()}\n ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}\n\n let a = ${p.getByOffset("global_idx")};\n ${h.setByOffset("global_idx",c)}\n }`},ke=(e,t,r,o,i,u=e.dataType)=>({name:t,shaderCache:{hint:i,inputDependencies:["type"]},getShaderSource:a=>lc(a,M.size(e.dims),e.dataType,u,r,o),getRunData:a=>({outputs:[{dims:e.dims,dataType:u}],dispatchGroup:{x:Math.ceil(M.size(a[0].dims)/64/4)},programUniforms:[{type:12,data:Math.ceil(M.size(e.dims)/4)}]})}),rs=e=>{e.compute(ke(e.inputs[0],"Abs","abs"))},ns=e=>{e.compute(ke(e.inputs[0],"Acos","acos"))},os=e=>{e.compute(ke(e.inputs[0],"Acosh","acosh"))},is=e=>{e.compute(ke(e.inputs[0],"Asin","asin"))},as=e=>{e.compute(ke(e.inputs[0],"Asinh","asinh"))},ss=e=>{e.compute(ke(e.inputs[0],"Atan","atan"))},us=e=>{e.compute(ke(e.inputs[0],"Atanh","atanh"))},ds=e=>ve(e),ls=(e,t)=>{let r;switch(t.to){case 10:r="vec4";break;case 1:r="vec4";break;case 12:r="vec4";break;case 6:r="vec4";break;case 9:r="vec4";break;default:throw new RangeError(`not supported type (specified in attribute \'to\' from \'Cast\' operator): ${t.to}`)}e.compute(ke(e.inputs[0],"Cast",r,void 0,t.cacheKey,t.to))},cc=e=>{let t=e.length>=2&&e[1].data!==0?e[1].getFloat32Array()[0]:xn,r=e.length>=3&&e[2].data!==0?e[2].getFloat32Array()[0]:Cn;return ve({min:t,max:r})},cs=(e,t)=>{let r=e.inputs.length===1?t:cc(e.inputs),o=et(e.inputs[0].dataType);e.compute(ke(e.inputs[0],"Clip",i=>`clamp(${i}, clip_min_, clip_max_)`,`\n const clip_min_: vec4<${o}> = vec4(${o}(${r.min}));\n const clip_max_: vec4<${o}> = vec4(${o}(${r.max}));\n`,r.cacheKey),{inputs:[0]})},ps=e=>{e.compute(ke(e.inputs[0],"Ceil","ceil"))},ms=e=>{e.compute(ke(e.inputs[0],"Cos","cos"))},fs=e=>{e.compute(ke(e.inputs[0],"Cosh","cosh"))},kn=e=>ve(e),hs=(e,t)=>{let r=et(e.inputs[0].dataType);e.compute(ke(e.inputs[0],"Elu",o=>`elu_vf32(${o})`,`\n const elu_alpha_ = ${r}(${t.alpha});\n\n fn elu_f32(a: ${r}) -> ${r} {\n return select((exp(a) - 1.0) * elu_alpha_, a, a >= 0.0);\n }\n\n fn elu_vf32(v: vec4<${r}>) -> vec4<${r}> {\n return vec4(elu_f32(v.x), elu_f32(v.y), elu_f32(v.z), elu_f32(v.w));\n }`,t.cacheKey))},On=(e="f32")=>`\nconst r0: ${e} = 0.3275911;\nconst r1: ${e} = 0.254829592;\nconst r2: ${e} = -0.284496736;\nconst r3: ${e} = 1.421413741;\nconst r4: ${e} = -1.453152027;\nconst r5: ${e} = 1.061405429;\n\nfn erf_vf32(v: vec4<${e}>) -> vec4<${e}> {\n let absv = abs(v);\n let x = 1.0 / (1.0 + r0 * absv);\n return sign(v) * (1.0 - ((((r5 * x + r4) * x + r3) * x + r2) * x + r1) * x * exp(-absv * absv));\n}`,gs=e=>{let t=et(e.inputs[0].dataType);e.compute(ke(e.inputs[0],"Erf",r=>`erf_vf32(${r})`,On(t)))},ys=e=>{e.compute(ke(e.inputs[0],"Exp","exp"))},bs=e=>{e.compute(ke(e.inputs[0],"Floor","floor"))},ws=e=>{let t=et(e.inputs[0].dataType);e.compute(ke(e.inputs[0],"Gelu",r=>`0.5 * ${r} * (1.0 + erf_vf32(${r} * 0.7071067811865475))`,On(t)))},vs=(e,t)=>{let r=et(e.inputs[0].dataType);e.compute(ke(e.inputs[0],"LeakyRelu",o=>`select(leaky_relu_alpha_ * ${o}, ${o}, ${o} >= vec4<${r}>(0.0))`,`const leaky_relu_alpha_ = ${r}(${t.alpha});`,t.cacheKey))},$s=e=>{e.compute(ke(e.inputs[0],"Not",t=>`!${t}`))},_s=e=>{e.compute(ke(e.inputs[0],"Neg",t=>`-${t}`))},Ss=e=>{e.compute(ke(e.inputs[0],"Reciprocal",t=>`1.0/${t}`))},xs=e=>{let t=et(e.inputs[0].dataType);e.compute(ke(e.inputs[0],"Relu",r=>`select(vec4<${t}>(0.0), ${r}, ${r} > vec4<${t}>(0.0))`))},Cs=e=>{e.compute(ke(e.inputs[0],"Sigmoid",t=>`(1.0 / (1.0 + exp(-${t})))`))},As=e=>ve(e),Is=(e,t)=>{let r=et(e.inputs[0].dataType);e.compute(ke(e.inputs[0],"HardSigmoid",o=>`max(vec4<${r}>(0.0), min(vec4<${r}>(1.0), ${t.alpha} * ${o} + vec4<${r}>(${t.beta})))`,void 0,t.cacheKey))},Ts=e=>{e.compute(ke(e.inputs[0],"Sin","sin"))},Es=e=>{e.compute(ke(e.inputs[0],"Sinh","sinh"))},Ps=e=>{e.compute(ke(e.inputs[0],"Sqrt","sqrt"))},ks=e=>{e.compute(ke(e.inputs[0],"Tan","tan"))},Os=e=>`sign(${e}) * (1 - exp(-2 * abs(${e}))) / (1 + exp(-2 * abs(${e})))`,Rs=e=>{e.compute(ke(e.inputs[0],"Tanh",Os))},Bo=(e="f32")=>`\nconst fast_gelu_a: ${e} = 0.5;\nconst fast_gelu_b: ${e} = 0.7978845608028654;\nconst fast_gelu_c: ${e} = 0.035677408136300125;\n\nfn tanh_v(v: vec4<${e}>) -> vec4<${e}> {\n return ${Os("v")};\n}\n`,Do=e=>`(fast_gelu_a + fast_gelu_a * tanh_v(${e} * (fast_gelu_c * ${e} * ${e} + fast_gelu_b))) * ${e}`,Bs=e=>{let t=et(e.inputs[0].dataType);e.compute(ke(e.inputs[0],"FastGelu",Do,Bo(t),void 0,e.inputs[0].dataType))},Ds=(e,t)=>{let r=et(e.inputs[0].dataType);return e.compute(ke(e.inputs[0],"ThresholdedRelu",o=>`select(vec4<${r}>(0.0), ${o}, ${o} > thresholded_relu_alpha_)`,`const thresholded_relu_alpha_ = vec4<${r}>(${t.alpha});`,t.cacheKey)),0},zs=e=>{e.compute(ke(e.inputs[0],"Log","log"))}});var pc,mc,Us,Vs=Y(()=>{"use strict";Se();_e();Rn();pc=e=>{if(e[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![2560,5120,10240].includes(e[0].dims[2]))throw new Error("hidden state should be 2560, 5120 or 10240");if(e[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(e[0].dims[2]!==e[1].dims[0])throw new Error("last dimension of input and bias are not the same")},mc=e=>{let t=e[0].dims.slice();t[2]=t[2]/2;let r=U("input",e[0].dataType,e[0].dims,4),o=U("bias",e[0].dataType,[e[0].dims[2]],4),i=j("output",e[0].dataType,t,4),u=M.size(t)/4,a=De(e[0].dataType);return{name:"BiasSplitGelu",getRunData:()=>({outputs:[{dims:t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(u/64)}}),getShaderSource:p=>`\n const M_SQRT2 = sqrt(2.0);\n const halfChannels = ${e[0].dims[2]/4/2}u;\n\n ${p.declareVariables(r,o,i)}\n\n ${On(a)}\n\n ${p.mainStart()}\n ${p.guardAgainstOutOfBoundsWorkgroupSizes(u)}\n let biasIdx = global_idx % halfChannels;\n let batchIndex = global_idx / halfChannels;\n let inputOffset = biasIdx + batchIndex * halfChannels * 2;\n let valueLeft = input[inputOffset] + bias[biasIdx];\n let valueRight = input[inputOffset + halfChannels] + bias[biasIdx + halfChannels];\n let geluRight = valueRight * 0.5 * (erf_vf32(valueRight / M_SQRT2) + 1);\n\n ${i.setByOffset("global_idx","valueLeft * geluRight")}\n }`}},Us=e=>{pc(e.inputs),e.compute(mc(e.inputs))}});var fc,hc,Ot,Ws,Ns,Gs,Hs,Ls,Fs,qs,js,Ks,Ys,Zs=Y(()=>{"use strict";ye();Se();_e();fc=(e,t,r,o,i,u,a,c,p,h,d,y)=>{let w,_;typeof c=="string"?w=_=(x,E)=>`${c}((${x}),(${E}))`:typeof c=="function"?w=_=c:(w=c.scalar,_=c.vector);let v=j("outputData",d,o.length,4),S=U("aData",p,t.length,4),A=U("bData",h,r.length,4),I;if(i)if(u){let x=M.size(t)===1,E=M.size(r)===1,P=t.length>0&&t[t.length-1]%4===0,O=r.length>0&&r[r.length-1]%4===0;x||E?I=v.setByOffset("global_idx",_(x?`${S.type.value}(${S.getByOffset("0")}.x)`:S.getByOffset("global_idx"),E?`${A.type.value}(${A.getByOffset("0")}.x)`:A.getByOffset("global_idx"))):I=`\n let outputIndices = ${v.offsetToIndices("global_idx * 4u")};\n let offsetA = ${S.broadcastedIndicesToOffset("outputIndices",v)};\n let offsetB = ${A.broadcastedIndicesToOffset("outputIndices",v)};\n ${v.setByOffset("global_idx",_(a||P?S.getByOffset("offsetA / 4u"):`${S.type.value}(${S.getByOffset("offsetA / 4u")}[offsetA % 4u])`,a||O?A.getByOffset("offsetB / 4u"):`${A.type.value}(${A.getByOffset("offsetB / 4u")}[offsetB % 4u])`))}\n `}else I=v.setByOffset("global_idx",_(S.getByOffset("global_idx"),A.getByOffset("global_idx")));else{if(!u)throw new Error("no necessary to use scalar implementation for element-wise binary op implementation.");let x=(E,P,O="")=>{let R=`aData[indexA${P}][componentA${P}]`,L=`bData[indexB${P}][componentB${P}]`;return`\n let outputIndices${P} = ${v.offsetToIndices(`global_idx * 4u + ${P}u`)};\n let offsetA${P} = ${S.broadcastedIndicesToOffset(`outputIndices${P}`,v)};\n let offsetB${P} = ${A.broadcastedIndicesToOffset(`outputIndices${P}`,v)};\n let indexA${P} = offsetA${P} / 4u;\n let indexB${P} = offsetB${P} / 4u;\n let componentA${P} = offsetA${P} % 4u;\n let componentB${P} = offsetB${P} % 4u;\n ${E}[${P}] = ${O}(${w(R,L)});\n `};d===9?I=`\n var data = vec4(0);\n ${x("data",0,"u32")}\n ${x("data",1,"u32")}\n ${x("data",2,"u32")}\n ${x("data",3,"u32")}\n outputData[global_idx] = dot(vec4(0x1, 0x100, 0x10000, 0x1000000), vec4(data));`:I=`\n ${x("outputData[global_idx]",0)}\n ${x("outputData[global_idx]",1)}\n ${x("outputData[global_idx]",2)}\n ${x("outputData[global_idx]",3)}\n `}return`\n ${e.registerUniform("vec_size","u32").declareVariables(S,A,v)}\n\n ${y??""}\n\n ${e.mainStart()}\n ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}\n ${I}\n }`},hc=(e,t,r,o,i,u,a=r.dataType)=>{let c=!M.areEqual(r.dims,o.dims),p=r.dims,h=M.size(r.dims),d=!1,y=!1,w=[c];if(c){let _=It.calcShape(r.dims,o.dims,!1);if(!_)throw new Error("Can\'t perform binary op on the given tensors");p=_,h=M.size(p);let v=M.size(r.dims)===1,S=M.size(o.dims)===1,A=r.dims.length>0&&r.dims[r.dims.length-1]%4===0,I=o.dims.length>0&&o.dims[o.dims.length-1]%4===0;w.push(v),w.push(S),w.push(A),w.push(I);let x=1;for(let E=1;E_.toString()).join("_"),inputDependencies:["rank","rank"]},getShaderSource:_=>fc(_,r.dims,o.dims,p,d,c,y,i,r.dataType,o.dataType,a,u),getRunData:()=>({outputs:[{dims:p,dataType:a}],dispatchGroup:{x:Math.ceil(h/64/4)},programUniforms:[{type:12,data:Math.ceil(M.size(p)/4)},...Z(r.dims,o.dims,p)]})}},Ot=(e,t,r,o,i,u)=>{e.compute(hc(t,i??"",e.inputs[0],e.inputs[1],r,o,u))},Ws=e=>{Ot(e,"Add",(t,r)=>`${t}+${r}`)},Ns=e=>{Ot(e,"Div",(t,r)=>`${t}/${r}`)},Gs=e=>{Ot(e,"Equal",{scalar:(t,r)=>`u32(${t}==${r})`,vector:(t,r)=>`vec4(${t}==${r})`},void 0,void 0,9)},Hs=e=>{Ot(e,"Mul",(t,r)=>`${t}*${r}`)},Ls=e=>{let t=U("input",e.inputs[0].dataType,e.inputs[0].dims).type.value;Ot(e,"Pow",{scalar:(o,i)=>`pow_custom(${o},${i})`,vector:(o,i)=>`pow_vector_custom(${o},${i})`},`\n fn pow_custom(a : ${t}, b : ${t}) -> ${t} {\n if (b == ${t}(0.0)) {\n return ${t}(1.0);\n } else if (a < ${t}(0.0) && f32(b) != floor(f32(b))) {\n return ${t}(pow(f32(a), f32(b))); // NaN\n }\n return select(sign(a), ${t}(1.0), round(f32(abs(b) % ${t}(2.0))) != 1.0) * ${t}(${t==="i32"?"round":""}(pow(f32(abs(a)), f32(b))));\n }\n fn pow_vector_custom(a : vec4<${t}>, b : vec4<${t}>) -> vec4<${t}> {\n // TODO: implement vectorized pow\n return vec4<${t}>(pow_custom(a.x, b.x), pow_custom(a.y, b.y), pow_custom(a.z, b.z), pow_custom(a.w, b.w));\n }\n `)},Fs=e=>{Ot(e,"Sub",(t,r)=>`${t}-${r}`)},qs=e=>{Ot(e,"Greater",{scalar:(t,r)=>`u32(${t}>${r})`,vector:(t,r)=>`vec4(${t}>${r})`},void 0,void 0,9)},js=e=>{Ot(e,"Less",{scalar:(t,r)=>`u32(${t}<${r})`,vector:(t,r)=>`vec4(${t}<${r})`},void 0,void 0,9)},Ks=e=>{Ot(e,"GreaterOrEqual",{scalar:(t,r)=>`u32(${t}>=${r})`,vector:(t,r)=>`vec4(${t}>=${r})`},void 0,void 0,9)},Ys=e=>{Ot(e,"LessOrEqual",{scalar:(t,r)=>`u32(${t}<=${r})`,vector:(t,r)=>`vec4(${t}<=${r})`},void 0,void 0,9)}});var St,xt,Ct,Bn,Ft=Y(()=>{"use strict";ye();Se();St=(e,t,r="f32")=>{switch(e.activation){case"Relu":return`value = max(value, ${t}(0.0));`;case"Sigmoid":return`value = (${t}(1.0) / (${t}(1.0) + exp(-value)));`;case"Clip":return`value = clamp(value, ${t}(${r}(uniforms.clip_min)), ${t}(${r}(uniforms.clip_max)));`;case"HardSigmoid":return`value = max(${t}(0.0), min(${t}(1.0), ${r}(uniforms.alpha) * value + ${r}(uniforms.beta)));`;case"LeakyRelu":return`value = select(${r}(uniforms.alpha) * value, value, value >= ${t}(0.0));`;case"":return"";default:throw new Error(`Unsupported activation ${e.activation}`)}},xt=(e,t)=>{e.activation==="Clip"?t.push({type:1,data:e.clipMax},{type:1,data:e.clipMin}):e.activation==="HardSigmoid"?t.push({type:1,data:e.alpha},{type:1,data:e.beta}):e.activation==="LeakyRelu"&&t.push({type:1,data:e.alpha})},Ct=(e,t)=>{e.activation==="Clip"?t.push({name:"clip_max",type:"f32"},{name:"clip_min",type:"f32"}):e.activation==="HardSigmoid"?t.push({name:"alpha",type:"f32"},{name:"beta",type:"f32"}):e.activation==="LeakyRelu"&&t.push({name:"alpha",type:"f32"})},Bn=e=>{let t=e?.activation||"";if(t==="HardSigmoid"){let[r,o]=e?.activation_params||[.2,.5];return{activation:t,alpha:r,beta:o}}else if(t==="Clip"){let[r,o]=e?.activation_params||[xn,Cn];return{activation:t,clipMax:o,clipMin:r}}else if(t==="LeakyRelu"){let[r]=e?.activation_params||[.01];return{activation:t,alpha:r}}return{activation:t}}});var tt,Dn,zn=Y(()=>{"use strict";tt=(e,t)=>{switch(e){case 1:return t;case 2:return`vec2<${t}>`;case 3:return`vec3<${t}>`;case 4:return`vec4<${t}>`;default:throw new Error(`${e}-component is not supported.`)}},Dn=e=>`\n ${e?"value = value + getBiasByOutputCoords(coords);":""}\n `});var Mn,zo=Y(()=>{"use strict";Mn=e=>`\nfn getIndexFromCoords4D(coords : vec4, shape : vec4) -> i32 {\n return dot(coords, vec4(\n shape.y * shape.z * shape.w, shape.z * shape.w, shape.w, 1));\n}\nfn getOutputIndexFromCoords(coords : vec4) -> i32 {\n return dot(coords, vec4(\n i32(${e}.x), i32(${e}.y), i32(${e}.z), 1));\n}\n`});var yc,bc,Hr,Xs,wc,Lr,vc,Un,Fr=Y(()=>{"use strict";ye();Se();_e();Ft();zn();yc=(e,t)=>e?`\n mm_Asub[inputRow][inputCol] = mm_readA(batch,\n kStart + inputRow,\n globalRowStart / innerElementSize + inputCol${t?", batchIndices":""});\n `:`\n mm_Asub[inputRow][inputCol] = mm_readA(batch,\n globalRow + innerRow,\n kStart / innerElementSize + inputCol${t?", batchIndices":""});\n `,bc=(e,t)=>e?`\n let ACached0 = mm_Asub[k * innerElementSize][localRow];\n let ACached1 = mm_Asub[k * innerElementSize + 1][localRow];\n let ACached2 = mm_Asub[k * innerElementSize + 2][localRow];\n ${t===3?"":"let ACached3 = mm_Asub[k * innerElementSize + 3][localRow];"}\n for (var i = 0; i < rowPerThread; i = i + 1) {\n acc[i] = BCached0 * ACached0[i] + acc[i];\n acc[i] = BCached1 * ACached1[i] + acc[i];\n acc[i] = BCached2 * ACached2[i] + acc[i];\n ${t===3?"":"acc[i] = BCached3 * ACached3[i] + acc[i];"}\n }`:`\n for (var i = 0; i < rowPerThread; i = i + 1) {\n let ACached = mm_Asub[tileRow + i][k];\n acc[i] = BCached0 * ACached.x + acc[i];\n acc[i] = BCached1 * ACached.y + acc[i];\n acc[i] = BCached2 * ACached.z + acc[i];\n ${t===3?"":"acc[i] = BCached3 * ACached.w + acc[i];"}\n }`,Hr=(e,t,r="f32",o,i=!1,u=32,a=!1,c=32)=>{let p=t[1]*e[1],h=t[0]*e[0],d=i?p:u,y=i?u:p,w=d/t[0],_=u/t[1];if(!((i&&w===4&&e[1]===4||!i&&(w===3||w===4))&&d%t[0]===0&&u%t[1]===0&&e[0]===4))throw new Error(`If transposeA ${i} is true, innerElementSize ${w} and workPerThread[1] ${e[1]} must be 4.\n Otherwise, innerElementSize ${w} must be 3 or 4.\n tileAWidth ${d} must be divisible by workgroupSize[0]${t[0]}. tileInner ${u} must be divisible by workgroupSize[1] ${t[1]}. colPerThread ${e[0]} must be 4.`);return`\nvar mm_Asub: array, ${d/w}>, ${y}>;\nvar mm_Bsub: array, ${h/e[0]}>, ${u}>;\n\nconst rowPerThread = ${e[1]};\nconst colPerThread = ${e[0]};\nconst innerElementSize = ${w};\nconst tileInner = ${u};\n\n@compute @workgroup_size(${t[0]}, ${t[1]}, ${t[2]})\nfn main(@builtin(local_invocation_id) localId : vec3,\n @builtin(global_invocation_id) globalId : vec3,\n @builtin(workgroup_id) workgroupId : vec3) {\n let localRow = i32(localId.y);\n let tileRow = localRow * rowPerThread;\n let tileCol = i32(localId.x);\n\n let globalRow =i32(globalId.y) * rowPerThread;\n let globalCol = i32(globalId.x);\n let batch = ${a?"0":"i32(globalId.z)"};\n ${o?`let batchIndices = ${o.offsetToIndices("u32(batch)")};`:""}\n let globalRowStart = i32(workgroupId.y) * ${p};\n\n let num_tiles = ${a?`${Math.ceil(c/u)}`:"(uniforms.dim_inner - 1) / tileInner + 1"};\n var kStart = ${a?`i32(globalId.z) * ${c}`:"0"};\n\n var acc: array, rowPerThread>;\n\n // Loop over shared dimension.\n let tileRowB = localRow * ${_};\n for (var t = 0; t < num_tiles; t = t + 1) {\n // Load one tile of A into local memory.\n for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n let inputRow = tileRow + innerRow;\n let inputCol = tileCol;\n ${yc(i,o)}\n }\n\n // Load one tile of B into local memory.\n for (var innerRow = 0; innerRow < ${_}; innerRow = innerRow + 1) {\n let inputRow = tileRowB + innerRow;\n let inputCol = tileCol;\n mm_Bsub[inputRow][inputCol] = mm_readB(batch, kStart + inputRow, globalCol${o?", batchIndices":""});\n }\n kStart = kStart + tileInner;\n workgroupBarrier();\n\n // Compute acc values for a single thread.\n for (var k = 0; k < tileInner / innerElementSize; k = k + 1) {\n let BCached0 = mm_Bsub[k * innerElementSize][tileCol];\n let BCached1 = mm_Bsub[k * innerElementSize + 1][tileCol];\n let BCached2 = mm_Bsub[k * innerElementSize + 2][tileCol];\n ${w===3?"":"let BCached3 = mm_Bsub[k * innerElementSize + 3][tileCol];"}\n\n ${bc(i,w)}\n }\n\n workgroupBarrier();\n }\n\n for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]);\n }\n}`},Xs=(e,t)=>e?`\n mm_Asub[inputRow][inputCol] = mm_readA(batch,\n kStart + inputRow,\n globalRowStart + inputCol${t?", batchIndices":""});\n `:`\n mm_Asub[inputRow][inputCol] = mm_readA(batch,\n globalRowStart + inputRow,\n kStart + inputCol${t?", batchIndices":""});\n `,wc=e=>e?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];",Lr=(e,t,r="f32",o,i=!1,u=32,a=!1,c=32,p=!1)=>{let h=e[1]*t[1],d=e[0]*t[0],y=i?h:u,w=i?u:h;if(!(w%t[1]===0&&y%t[0]===0&&u%t[1]===0))throw new Error(`tileAHight ${w} must be divisible by workgroupSize[1]${t[1]}, tileAWidth ${y} must be divisible by workgroupSize[0]${t[0]}, tileInner ${u} must be divisible by workgroupSize[1]${t[1]}`);let _=w/t[1],v=y/t[0],S=u/t[1],A=p?`\n let localRow = i32(localId.y);\n let localCol = i32(localId.x);\n let globalRowStart = i32(workgroupId.y) * ${h};\n let globalColStart = i32(workgroupId.x) * ${d};\n\n // Loop over shared dimension.\n for (var t = 0; t < num_tiles; t = t + 1) {\n // Load one tile of A into local memory.\n for (var inputRow = localRow; inputRow < ${w}; inputRow = inputRow + ${t[1]}) {\n for (var inputCol = localCol; inputCol < ${y}; inputCol = inputCol + ${t[0]}) {\n ${Xs(i,o)}\n }\n }\n // Load one tile of B into local memory.\n for (var inputRow = localRow; inputRow < ${u}; inputRow = inputRow + ${t[1]}) {\n for (var inputCol = localCol; inputCol < ${d}; inputCol = inputCol + ${t[0]}) {\n mm_Bsub[inputRow][inputCol] = mm_readB(batch,\n kStart + inputRow,\n globalColStart + inputCol${o?", batchIndices":""});\n }\n }\n kStart = kStart + tileInner;\n workgroupBarrier();\n\n // Compute acc values for a single thread.\n var BCached : array<${r}, colPerThread>;\n for (var k = 0; k < tileInner; k = k + 1) {\n for (var inner = 0; inner < colPerThread; inner = inner + 1) {\n BCached[inner] = mm_Bsub[k][localCol + inner * ${t[0]}];\n }\n for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n let ACached = ${i?`mm_Asub[k][localRow + innerRow * ${t[1]}];`:`mm_Asub[localRow + innerRow * ${t[1]}][k];`}\n for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n acc[innerRow][innerCol] = acc[innerRow][innerCol] +\n ACached * BCached[innerCol];\n }\n }\n }\n workgroupBarrier();\n }\n for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n let gRow = globalRowStart + localRow + innerRow * ${t[1]};\n for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n let gCol = globalColStart + localCol + innerCol * ${t[0]};\n mm_write(batch, gRow, gCol, acc[innerRow][innerCol]);\n }\n }\n `:`\nlet tileRow = i32(localId.y) * rowPerThread;\nlet tileCol = i32(localId.x) * colPerThread;\n\nlet globalRow = i32(globalId.y) * rowPerThread;\nlet globalCol = i32(globalId.x) * colPerThread;\nlet globalRowStart = i32(workgroupId.y) * ${h};\n\nlet tileRowA = i32(localId.y) * ${_};\nlet tileColA = i32(localId.x) * ${v};\nlet tileRowB = i32(localId.y) * ${S};\n// Loop over shared dimension.\nfor (var t = 0; t < num_tiles; t = t + 1) {\n // Load one tile of A into local memory.\n for (var innerRow = 0; innerRow < ${_}; innerRow = innerRow + 1) {\n for (var innerCol = 0; innerCol < ${v}; innerCol = innerCol + 1) {\n let inputRow = tileRowA + innerRow;\n let inputCol = tileColA + innerCol;\n ${Xs(i,o)}\n }\n }\n\n // Load one tile of B into local memory.\n for (var innerRow = 0; innerRow < ${S}; innerRow = innerRow + 1) {\n for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n let inputRow = tileRowB + innerRow;\n let inputCol = tileCol + innerCol;\n mm_Bsub[inputRow][inputCol] = mm_readB(batch,\n kStart + inputRow,\n globalCol + innerCol${o?", batchIndices":""});\n }\n }\n kStart = kStart + tileInner;\n workgroupBarrier();\n\n // Compute acc values for a single thread.\n var BCached : array<${r}, colPerThread>;\n for (var k = 0; k < tileInner; k = k + 1) {\n for (var inner = 0; inner < colPerThread; inner = inner + 1) {\n BCached[inner] = mm_Bsub[k][tileCol + inner];\n }\n\n for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n ${wc(i)}\n for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n acc[innerRow][innerCol] = acc[innerRow][innerCol] + ACached * BCached[innerCol];\n }\n }\n }\n\n workgroupBarrier();\n}\n\nfor (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n mm_write(batch, globalRow + innerRow, globalCol + innerCol,\n acc[innerRow][innerCol]);\n }\n}\n`;return`\n var mm_Asub : array, ${w}>;\n var mm_Bsub : array, ${u}>;\n const rowPerThread = ${e[1]};\n const colPerThread = ${e[0]};\n const tileInner = ${u};\n\n@compute @workgroup_size(${t[0]}, ${t[1]}, ${t[2]})\nfn main(@builtin(local_invocation_id) localId : vec3,\n @builtin(global_invocation_id) globalId : vec3,\n @builtin(workgroup_id) workgroupId : vec3) {\n let batch = ${a?"0":"i32(globalId.z)"};\n ${o?`let batchIndices = ${o.offsetToIndices("u32(batch)")};`:""}\n let num_tiles = ${a?`${Math.ceil(c/u)}`:"(uniforms.dim_inner - 1) / tileInner + 1"};\n var kStart = ${a?`i32(globalId.z) * ${c}`:"0"};\n\n var acc : array, rowPerThread>;\n\n // Without this initialization strange values show up in acc.\n for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n acc[innerRow][innerCol] = 0.0;\n }\n }\n ${A}\n }\n`},vc=(e,t,r,o,i,u=!1)=>{let[a,c,p]=i,[h,d,y,w]=o,_=_r(a,p),v=_r(c,p),S=De(o[0].type.tensor),A=()=>{let E=d.rank,P=h.rank,O=`var aIndices: ${d.type.indices};`;for(let R=E-2-1,L=P-1;R>=0;R--,L--)O+=`\naIndices[${R}] = ${P>1?`batchIndices[${L}]`:"batchIndices"};`;return _.forEach(R=>{O+=`\naIndices[${R}] = 0;`}),O+=`\naIndices[${E-2}] = u32(row);\n aIndices[${E-1}] = u32(colIn);`,O},I=()=>{let E=y.rank,P=h.rank,O=`var bIndices: ${y.type.indices};`;for(let R=E-2-1,L=P-1;R>=0;R--,L--)O+=`\nbIndices[${R}] = ${P>1?`batchIndices[${L}]`:"batchIndices"};`;return v.forEach(R=>{O+=`\nbIndices[${R}] = 0;`}),O+=`\nbIndices[${E-2}] = u32(row);\n bIndices[${E-1}] = u32(colIn);`,O};return`\n fn mm_readA(batch: i32, row: i32, colIn: i32, batchIndices: ${h.type.indices}) -> ${tt(e,S)} {\n var value = ${tt(e,S)}(0.0);\n let col = colIn * ${e};\n if(row < uniforms.dim_a_outer && col < uniforms.dim_inner)\n {\n ${A()}\n value = ${d.getByIndices("aIndices")};\n }\n return value;\n }\n\n fn mm_readB(batch: i32, row: i32, colIn: i32, batchIndices: ${h.type.indices}) -> ${tt(e,S)} {\n var value = ${tt(e,S)}(0.0);\n let col = colIn * ${e};\n if(row < uniforms.dim_inner && col < uniforms.dim_b_outer)\n {\n ${I()}\n value = ${y.getByIndices("bIndices")};\n }\n return value;\n }\n\n fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${tt(e,S)}) {\n let col = colIn * ${e};\n if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) {\n var value = valueIn;\n let coords = vec3(batch, row, colIn);\n ${t?`value = value + ${u?"bias[colIn]":`${tt(e,S)}(bias[row])`};`:""}\n ${r}\n ${w.setByIndices("vec3(coords)","value")}\n }\n }\n `},Un=(e,t,r,o,i=!1)=>{let u=e[0].dims,a=e[1].dims,c=u.slice(0,-2),p=a.slice(0,-2),h=o?o.slice(0,-2):r.slice(0,-2),d=M.size(h),y=u[u.length-2],w=u[u.length-1],_=a[a.length-1],v=w%4===0&&_%4===0,S=y<=8?[4,1,1]:[4,4,1],A=[8,8,1],I=[Math.ceil(_/A[0]/S[0]),Math.ceil(y/A[1]/S[1]),Math.ceil(d/A[2]/S[2])],x=v?4:1,E=[...c,y,w/x],P=E.length,O=[...p,w,_/x],R=O.length,L=[d,y,_/x],N=[{type:6,data:y},{type:6,data:_},{type:6,data:w}];xt(t,N),N.push(...Z(h,E,O));let K=["rank","rank"],Q=e.length>2;Q&&(N.push(...Z(e[2].dims)),K.push("rank")),N.push(...Z(L));let he=W=>{let se=h.length,Ce=An("batchDims",e[0].dataType,se,1),We=De(e[0].dataType),ee=U("a",e[0].dataType,P,x),ae=U("b",e[1].dataType,R,x),Ae=j("result",e[0].dataType,L.length,x),me=[ee,ae];if(Q){let G=i?x:1;me.push(U("bias",e[2].dataType,e[2].dims.length,G))}let ie=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"}];Ct(t,ie);let ue=De(Ae.type.tensor),le=St(t,Ae.type.value,ue),qe=vc(x,Q,le,[Ce,ee,ae,Ae],[c,p,h],i);return`\n ${W.registerUniforms(ie).registerInternalVariables(Ce).declareVariables(...me,Ae)}\n ${qe}\n ${v?Hr(S,A,We,Ce):Lr(S,A,We,Ce)}\n `};return{name:"MatMul",shaderCache:{hint:`${S};${t.activation};${v};${i}`,inputDependencies:K},getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:I[0],y:I[1],z:I[2]},programUniforms:N}),getShaderSource:he}}});var $c,Qs,Js=Y(()=>{"use strict";ye();Lt();_e();Ft();zn();zo();Fr();$c=(e,t,r,o,i=!1,u,a=4,c=4,p=4,h="f32")=>{let d=Q=>{switch(Q){case 1:return"resData = x[xIndex];";case 3:return`resData = vec3<${h}>(x[xIndex], x[xIndex + 1], x[xIndex + 2]);`;case 4:return"resData = x[xIndex / 4];";default:throw new Error(`innerElementSize ${Q} is not supported.`)}},y=Q=>{switch(Q){case 1:return"return w[row * i32(uniforms.w_shape[3]) + colIn];";case 4:return"return w[row * i32(uniforms.w_shape[3]) / 4 + colIn];";default:throw new Error(`innerElementSize ${Q} is not supported.`)}},w=e?`\n let coord = vec4(batch, xRow, xCol, xCh);\n `:`\n let coord = vec4(batch, xCh, xRow, xCol);\n `,_=e?`\n let coords = vec4(\n batch,\n row / outWidth,\n row % outWidth,\n col);\n `:`\n let coords = vec4(\n batch,\n row,\n col / outWidth,\n col % outWidth);\n `,v=e?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",S=e?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",A=e?"row":"col",I=e?"col":"row",x=`\n let inChannels = i32(uniforms.w_shape[2]);\n let outWidth = ${e?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};\n let outRow = ${A} / outWidth;\n let outCol = ${A} % outWidth;\n\n let WRow = ${I} / (i32(uniforms.w_shape[1]) * inChannels);\n let WCol = ${I} / inChannels % i32(uniforms.w_shape[1]);\n let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * WRow - uniforms.pad[0];\n let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * WCol - uniforms.pad[1];\n let xCh = ${I} % inChannels;\n var resData = ${tt(a,h)}(0.0);\n // The bounds checking is always needed since we use it to pad zero for\n // the \'same\' padding type.\n if (xRow >= 0 && xRow < ${v} && xCol >= 0 && xCol < ${S}) {\n ${w}\n let xIndex = getIndexFromCoords4D(coord, vec4(uniforms.x_shape));\n ${d(a)}\n }\n return resData;`,E=e?t&&o?`\n let col = colIn * ${a};\n ${x}`:`\n let col = colIn * ${a};\n if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) {\n ${x}\n }\n return ${tt(a,h)}(0.0);`:o&&r?`\n let col = colIn * ${a};\n ${x}`:`\n let col = colIn * ${a};\n if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {\n ${x}\n }\n return ${tt(a,h)}(0.0);`,P=`${y(c)}`,O=tt(p,h),R=e?tt(a,h):tt(c,h),L=e?tt(c,h):tt(a,h),N=St(u,O,h);return`\n fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${R} {\n ${e?E:P}\n }\n\n fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${L} {\n ${e?P:E}\n }\n\n fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${O}) {\n let col = colIn * ${p};\n if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer)\n {\n var value = valueIn;\n let outWidth = ${e?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};\n ${_}\n ${Dn(i)}\n ${N}\n setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value);\n }\n }`},Qs=(e,t,r,o,i,u,a,c)=>{let p=t.format==="NHWC",h=p?e[0].dims[3]:e[0].dims[1],d=r[0],y=p?r[2]:r[3],w=p?r[1]:r[2],_=p?r[3]:r[1],v=p&&(h%4===0||h%3===0)&&_%4===0,S=p?_:y*w,A=p?y*w:_,I=[8,8,1],x=o<=8?[4,1,1]:[4,4,1],E=[Math.ceil(S/I[0]/x[0]),Math.ceil(A/I[1]/x[1]),Math.ceil(d/I[2]/x[2])];Ve("verbose",()=>`[conv2d_mm_webgpu] dispatch = ${E}`);let P=v?p&&h%4!==0?3:4:1,O=I[1]*x[1],R=I[0]*x[0],L=Math.max(I[0]*P,I[1]),N=o%O===0,K=i%R===0,Q=u%L===0,he=v?[P,4,4]:[1,1,1],W=[{type:6,data:o},{type:6,data:i},{type:6,data:u},{type:6,data:[t.pads[0],t.pads[1]]},{type:6,data:t.strides},{type:6,data:t.dilations}];xt(t,W),W.push(...Z(e[0].dims,e[1].dims));let se=["rank","rank"];a&&(W.push(...Z(e[2].dims)),se.push("rank")),W.push(...Z(r));let Ce=We=>{let ee=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"},{name:"pad",type:"i32",length:2},{name:"stride",type:"i32",length:2},{name:"dilation",type:"i32",length:2}];Ct(t,ee);let ae=v?4:1,Ae=De(e[0].dataType),me=`\n fn setOutputAtIndex(flatIndex : i32, value : ${v?`vec4<${Ae}>`:Ae}) {\n result[flatIndex] = ${v?`vec4<${Ae}>`:Ae}(value);\n }\n fn setOutputAtCoords(d0 : i32, d1 : i32, d2 : i32, d3 : i32, value : ${v?`vec4<${Ae}>`:Ae}) {\n let flatIndex = getOutputIndexFromCoords(vec4(d0, d1, d2, d3));\n setOutputAtIndex(flatIndex ${v?"/ 4":""}, value);\n }`,ie=U("x",e[0].dataType,e[0].dims.length,P===3?1:P),ue=U("w",e[1].dataType,e[1].dims.length,ae),le=[ie,ue],qe=j("result",e[0].dataType,r.length,ae);if(a){let G=U("bias",e[2].dataType,e[2].dims.length,ae);le.push(G),me+=`\n fn getBiasByOutputCoords(coords : vec4) -> ${v?`vec4<${Ae}>`:Ae} {\n return bias[coords.${p?"w":"y"}${v?"/ 4":""}];\n }`}return`\n ${Mn("uniforms.result_strides")}\n //struct Uniforms { xShape : vec4, wShape : vec4, outShape : vec4,\n // outShapeStrides: vec3, filterDims : vec2, pad : vec2, stride : vec2,\n // dilation : vec2, dimAOuter : i32, dimBOuter : i32, dimInner : i32 };\n ${We.registerUniforms(ee).declareVariables(...le,qe)}\n ${me}\n ${$c(p,N,K,Q,a,t,he[0],he[1],he[2],Ae)}\n ${v?Hr(x,I,Ae,void 0,!p,L):Lr(x,I,Ae,void 0,!p,L,!1,void 0,c)}`};return{name:"Conv2DMatMul",shaderCache:{hint:`${t.cacheKey};${P};${v};${N};${K};${Q};${O};${R};${L}`,inputDependencies:se},getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:E[0],y:E[1],z:E[2]},programUniforms:W}),getShaderSource:Ce}}});var Mo,eu,tu=Y(()=>{"use strict";ye();Se();_e();Uo();Ft();Mo=(e,t,r)=>{let o=e.length>2,i=o?"value += b[output_channel];":"",u=e[0].dims,a=e[1].dims,c=a[0]/t.group,p=t.format==="NHWC",h=Vn(u,a,t.dilations,t.pads,t.strides,p),d=M.size(h),y=[{type:12,data:d},{type:12,data:t.dilations},{type:12,data:[t.strides[0],t.strides[1]]},{type:12,data:[t.pads[0],t.pads[1]]},{type:12,data:c}];xt(t,y),y.push(...Z(u,a));let w=["rank","rank"];o&&(y.push(...Z(e[2].dims)),w.push("rank")),y.push(...Z(h));let _=v=>{let S=j("output",e[0].dataType,h.length),A=De(S.type.tensor),I=St(t,S.type.value,A),x=U("x",e[0].dataType,u.length),E=U("w",e[1].dataType,a.length),P=[x,E];o&&P.push(U("b",e[2].dataType,e[2].dims.length));let O=[{name:"output_size",type:"u32"},{name:"dilations",type:"u32",length:t.dilations.length},{name:"strides",type:"u32",length:2},{name:"pads",type:"u32",length:2},{name:"output_channels_per_group",type:"u32"}];return Ct(t,O),`\n ${v.registerUniforms(O).declareVariables(...P,S)}\n\n ${v.mainStart()}\n ${v.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}\n\n let outputIndices = ${S.offsetToIndices("global_idx")};\n let batch: u32 = outputIndices[0];\n let output_channel: u32 = outputIndices[${p?3:1}];\n let xRCCorner: vec2 = vec2(outputIndices[${p?1:2}], outputIndices[${p?2:3}]) * uniforms.strides - uniforms.pads;\n let group_id: u32 = output_channel / uniforms.output_channels_per_group;\n\n var value: ${S.type.value} = ${S.type.value}(0);\n for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[1]; wInChannel++) {\n let input_channel = group_id * uniforms.w_shape[1] + wInChannel;\n for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[2]; wHeight++) {\n let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0];\n\n if (xHeight < 0u || xHeight >= uniforms.x_shape[${p?1:2}]) {\n continue;\n }\n\n for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[3]; wWidth++) {\n let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1];\n if (xWidth < 0u || xWidth >= uniforms.x_shape[${p?2:3}]) {\n continue;\n }\n\n let xVal = ${p?x.get("batch","xHeight","xWidth","input_channel"):x.get("batch","input_channel","xHeight","xWidth")};\n let wVal = ${E.get("output_channel","wInChannel","wHeight","wWidth")};\n value += xVal*wVal;\n }\n }\n }\n ${i}\n ${I}\n ${S.setByOffset("global_idx","value")}\n }`};return{name:"GroupedConv",shaderCache:{hint:t.cacheKey,inputDependencies:w},getRunData:()=>({outputs:[{dims:r?r(h):h,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(d/64)},programUniforms:y}),getShaderSource:_}},eu=(e,t,r)=>{let o=e.length>2,i=Me(r[3]),u=Me(r[2]),a=M.size(r)/i/u,c=[e[0].dims[0],e[0].dims[1],e[0].dims[2],e[0].dims[3]/i],p=[e[1].dims[0],e[1].dims[1],e[1].dims[2],e[1].dims[3]/i],h=[r[0],r[1],r[2],r[3]/i],d=[{type:12,data:a},{type:6,data:[t.strides[0],t.strides[1]]},{type:6,data:[t.pads[0],t.pads[1]]}];xt(t,d),d.push(...Z(c,p,h));let y=(u-1)*t.strides[1]+p[1],w=_=>{let v=j("output",e[0].dataType,h.length,i),S=De(v.type.tensor),A=St(t,v.type.value,S),I=U("x",e[0].dataType,c.length,i),x=U("w",e[1].dataType,p.length,i),E=[I,x];o&&E.push(U("b",e[2].dataType,e[2].dims,i));let P=o?"value += b[output_channel];":"",O=[{name:"output_size",type:"u32"},{name:"strides",type:"i32",length:2},{name:"pads",type:"i32",length:2}];return Ct(t,O),`\n ${_.registerUniforms(O).declareVariables(...E,v)}\n ${_.mainStart()}\n ${_.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}\n let width0 = uniforms.output_shape[3];\n let output_channel = global_idx % width0;\n var index1 = global_idx / width0;\n let width1 = uniforms.output_shape[2] / ${u}u;\n let col = (index1 % width1) * ${u}u;\n index1 = index1 / width1;\n let row = index1 % uniforms.output_shape[1];\n let batch = index1 / uniforms.output_shape[1];\n\n let x_corner = vec2(i32(row), i32(col)) * uniforms.strides - uniforms.pads;\n\n var x_vals: array<${I.type.value}, ${y}>;\n var values: array<${v.type.value}, ${u}>;\n let input_channel = output_channel;\n // Use constant instead of uniform can give better performance for w\'s height/width.\n for (var w_height: u32 = 0u; w_height < ${p[0]}; w_height++) {\n let x_height = x_corner.x + i32(w_height);\n if (x_height >= 0 && u32(x_height) < uniforms.x_shape[1]) {\n for (var i = 0; i < ${y}; i++) {\n let x_width = x_corner.y + i;\n if (x_width >= 0 && u32(x_width) < uniforms.x_shape[2]) {\n x_vals[i] = ${I.get("batch","u32(x_height)","u32(x_width)","input_channel")};\n } else {\n x_vals[i] = ${I.type.value}(0);\n }\n }\n for (var w_width: u32 = 0u; w_width < ${p[1]}; w_width++) {\n let w_val = ${x.get("w_height","w_width","0","output_channel")};\n for (var i = 0u; i < ${u}u; i++) {\n values[i] = fma(x_vals[i * u32(uniforms.strides[1]) + w_width], w_val, values[i]);\n }\n }\n }\n }\n\n for (var i = 0u; i < ${u}u; i++) {\n var value = values[i];\n ${P}\n ${A}\n ${v.set("batch","row","col + i","output_channel","value")};\n }\n }`};return{name:"GroupedConv-Vectorize",shaderCache:{hint:`${t.cacheKey};${i};${u};${y};${p[0]};${p[1]}`,inputDependencies:o?["rank","rank","type"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:d}),getShaderSource:w}}});var Vo,_c,ru,Wo=Y(()=>{"use strict";ye();Se();Fr();_e();Ft();Vo=(e,t,r,o,i=!1)=>{let u=e[0].dims,a=e[1].dims,c=u[u.length-2],p=a[a.length-1],h=u[u.length-1],d=Me(p),y=Me(h),w=Me(c),_=M.size(r)/d/w,v=e.length>2,S=o?o.slice(0,-2):r.slice(0,-2),I=[M.size(S),c,p],x=[{type:12,data:_},{type:12,data:c},{type:12,data:p},{type:12,data:h}];xt(t,x),x.push(...Z(S,u,a)),v&&x.push(...Z(e[2].dims)),x.push(...Z(I));let E=P=>{let O=An("batch_dims",e[0].dataType,S.length),R=U("a",e[0].dataType,u.length,y),L=U("b",e[1].dataType,a.length,d),N=j("output",e[0].dataType,I.length,d),K=De(N.type.tensor),Q=St(t,N.type.value,K),he=[R,L],W="";if(v){let ie=i?d:1;he.push(U("bias",e[2].dataType,e[2].dims.length,ie)),W=`${i?`value += bias[col / ${ie}];`:`value += ${N.type.value}(bias[row + i]);`}`}let se=u.slice(0,-2),Ce=a.slice(0,-2),We=_r(se,S),ee=_r(Ce,S),ae=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"}];Ct(t,ae);let Ae=(ie,ue)=>{let le=ie.rank,qe=ie.name;if(le===2)return`var ${qe}_indices = ${ie.type.indices}(0u, 0u);`;let G=O.rank,ne=`var ${qe}_indices: ${ie.type.indices};`;for(let xe=le-2-1,Ke=G-1;xe>=0;xe--,Ke--)ne+=`\n${qe}_indices[${xe}] = ${G>1?`batch_indices[${Ke}]`:"batch_indices"};`;return ue.forEach(xe=>{ne+=`\n${qe}_indices[${xe}] = 0;`}),ne+=`${qe}_indices[${le-2}] = 0u;\n ${qe}_indices[${le-1}] = 0u;`,ne},me=()=>{let ie=`var a_data: ${R.type.value};`;for(let ue=0;ue;\n for (var k: u32 = 0u; k < uniforms.K; k = k + ${y}) {\n ${me()}\n }\n for (var i = 0u; i < ${w}u; i++) {\n var value = values[i];\n ${W}\n ${Q}\n let cur_indices = ${N.type.indices}(batch, row + i, col);\n let offset = ${N.indicesToOffset("cur_indices")};\n ${N.setByOffset(`offset / ${d}`,"value")};\n }\n }\n `};return{name:"MatMulNaive",shaderCache:{hint:`${t.activation};${d};${y};${w};${i}`,inputDependencies:v?["rank","rank","rank"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(_/64)},programUniforms:x}),getShaderSource:E}},_c=e=>{if(!e||e.length!==2)throw new Error("MatMul requires 2 inputs.");if(e[0].dims[e[0].dims.length-1]!==e[1].dims[e[1].dims.length-2])throw new Error("shared dimension does not match.")},ru=e=>{_c(e.inputs);let t=It.calcShape(e.inputs[0].dims,e.inputs[1].dims,!0);if(!t)throw new Error("Can\'t use matmul on the given tensors");let r=t[t.length-1],o=e.inputs[0].dims[e.inputs[0].dims.length-1];r<8&&o<8?e.compute(Vo(e.inputs,{activation:""},t)):e.compute(Un(e.inputs,{activation:""},t))}});var Vn,No,Sc,nu,Go,xc,Cc,Ho,Uo=Y(()=>{"use strict";Se();Js();Fr();tu();Ft();Wo();Sr();Vn=(e,t,r,o,i,u)=>{let a=e[0],c=e.slice(u?1:2,u?3:4),p=c.length,h=t[0],y=t.slice(2).map((v,S)=>v+(v-1)*(r[S]-1)),_=c.map((v,S)=>v+o[S]+o[S+p]).map((v,S)=>Math.floor((v-y[S]+i[S])/i[S]));return _.splice(0,0,a),_.splice(u?3:1,0,h),_},No=[2,3,1,0],Sc=(e,t)=>{if(!e||e.length!==2&&e.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(e[0].dims.length!==4&&e[0].dims.length!==3)throw new Error("currently only support conv 1D and 2D");if(e[0].dims.length!==e[1].dims.length)throw new Error("filter does not have same dimension as input");let r=e[0].dims[t.format==="NHWC"?e[0].dims.length-1:1],o=e[1].dims[1]*t.group;if(r!==o)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(e.length===3&&(e[2].dims.length!==1||e[1].dims[0]!==e[2].dims[0]))throw new Error("invalid bias");let i=e[0].dims.length-2;if(t.dilations.length!==i)throw new Error(`dilations should be ${i}D`);if(t.strides.length!==i)throw new Error(`strides should be ${i}D`);if(t.pads.length!==i*2)throw new Error(`pads should be ${i*2}D`);if(t.kernelShape.length!==0&&t.kernelShape.length!==e[1].dims.length-2)throw new Error("invalid kernel shape")},nu=(e,t)=>{let r=e.kernelShape.slice();for(let u=2;u{let t=Bn(e),r=e.format,o=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][e.auto_pad],i=e.dilations,u=e.group,a=e.kernel_shape,c=e.pads,p=e.strides,h=e.w_is_const();return{autoPad:o,format:r,dilations:i,group:u,kernelShape:a,pads:c,strides:p,wIsConst:h,...t,cacheKey:`${e.format};${t.activation};`}},xc=(e,t,r)=>{let o=nu(r,t),i=r.format==="NHWC";if(r.group!==1){if(!e.adapterInfo.isArchitecture("ampere")&&i&&t[1].dims[0]===r.group&&t[1].dims[1]===1&&r.dilations[0]===1&&r.dilations[1]===1){let L=Vn(t[0].dims,t[1].dims,r.dilations,o.pads,r.strides,i),N=e.kernelCustomData.wT??e.compute(yt(t[1],No),{inputs:[1],outputs:[r.wIsConst?-2:-1]})[0];r.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=N);let K=[t[0],N];t.length===3&&K.push(t[2]),e.compute(eu(K,o,L),{inputs:K})}else e.compute(Mo(t,o));return}let u=t.length===3,a=t[0].dims[i?1:2],c=t[0].dims[i?2:3],p=t[0].dims[i?3:1],h=t[1].dims[2],d=t[1].dims[3],y=Vn(t[0].dims,t[1].dims,r.dilations,o.pads,r.strides,i),w=y[i?1:2],_=y[i?2:3],v=y[i?3:1],S=i&&h===a&&d===c&&r.pads[0]===0&&r.pads[1]===0;if(S||h===1&&d===1&&r.dilations[0]===1&&r.dilations[1]===1&&r.strides[0]===1&&r.strides[1]===1&&r.pads[0]===0&&r.pads[1]===0){let R=y[0],L,N,K,Q=[];if(i){let se=e.kernelCustomData.wT??e.compute(yt(t[1],No),{inputs:[1],outputs:[r.wIsConst?-2:-1]})[0];if(r.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=se),S){let Ce=a*c*p;L=t[0].reshape([1,R,Ce]),N=se.reshape([1,Ce,v]),K=[1,R,v]}else L=t[0].reshape([R,a*c,p]),N=se.reshape([1,p,v]),K=[R,w*_,v];Q.push(L),Q.push(N)}else L=t[0].reshape([R,p,a*c]),N=t[1].reshape([1,v,p]),K=[R,v,w*_],Q.push(N),Q.push(L);u&&Q.push(t[2]);let he=K[2],W=Q[0].dims[Q[0].dims.length-1];he<8&&W<8?e.compute(Vo(Q,o,y,K,i),{inputs:Q}):e.compute(Un(Q,o,y,K,i),{inputs:Q});return}let A=!0,I=e.kernelCustomData.wT??e.compute(yt(t[1],No),{inputs:[1],outputs:[r.wIsConst?-2:-1]})[0];r.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=I);let x=[t[0],I];u&&x.push(t[2]);let E=i?w*_:v,P=i?v:w*_,O=h*d*p;e.compute(Qs(x,o,y,E,P,O,u,A),{inputs:x})},Cc=(e,t)=>{let r=t.format==="NHWC",o=[e.inputs[0].reshape(r?[e.inputs[0].dims[0],1,e.inputs[0].dims[1],e.inputs[0].dims[2]]:[e.inputs[0].dims[0],e.inputs[0].dims[1],1,e.inputs[0].dims[2]]),e.inputs[1].reshape([e.inputs[1].dims[0],e.inputs[1].dims[1],1,e.inputs[1].dims[2]])];e.inputs.length===3&&o.push(e.inputs[2]);let i=[0,t.pads[0],0,t.pads[1]],u=[1].concat(t.strides),a=[1].concat(t.dilations),c=[1].concat(t.kernelShape),p=nu({...t,pads:i,strides:u,dilations:a,kernelShape:c},o);e.compute(Mo(o,p,h=>r?[h[0],h[2],h[3]]:[]))},Ho=(e,t)=>{Sc(e.inputs,t),e.inputs[0].dims.length===3?Cc(e,t):xc(e,e.inputs,t)}});var Ac,ou,iu=Y(()=>{"use strict";ye();Lt();_e();Ft();zn();zo();Fr();Ac=(e,t=!1,r,o,i=4)=>{let u=I=>{switch(I){case 1:return"return w[getIndexFromCoords4D(coord, vec4(uniforms.w_shape))];";case 4:return`\n let coord1 = vec4(coordX, coordY, col + 1, rowInner);\n let coord2 = vec4(coordX, coordY, col + 2, rowInner);\n let coord3 = vec4(coordX, coordY, col + 3, rowInner);\n let v0 = w[getIndexFromCoords4D(coord, vec4(uniforms.w_shape))];\n let v1 = w[getIndexFromCoords4D(coord1, vec4(uniforms.w_shape))];\n let v2 = w[getIndexFromCoords4D(coord2, vec4(uniforms.w_shape))];\n let v3 = w[getIndexFromCoords4D(coord3, vec4(uniforms.w_shape))];\n return ${o}(v0, v1, v2, v3);\n `;default:throw new Error(`innerElementSize ${I} is not supported.`)}},a=e?`\n let coord = vec4(batch, iXR, iXC, xCh);\n `:`\n let coord = vec4(batch, xCh, iXR, iXC);\n `,c=e?`\n let coords = vec4(\n batch,\n row / outWidth,\n row % outWidth,\n col);\n `:`\n let coords = vec4(\n batch,\n row,\n col / outWidth,\n col % outWidth);\n `,p=e?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",h=e?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",d=e?"row":"col",y=e?"col":"row",w=`\n let inChannels = ${e?"i32(uniforms.x_shape[3])":"i32(uniforms.x_shape[1])"};\n let outWidth = ${e?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};\n let outRow = ${d} / outWidth;\n let outCol = ${d} % outWidth;\n\n let WRow = ${y} / (uniforms.filter_dims[1] * inChannels);\n let WCol = ${y} / inChannels % uniforms.filter_dims[1];\n let xR = f32(outRow - uniforms.pads[0] + uniforms.dilations[0] * WRow) / f32(uniforms.strides[0]);\n let xC = f32(outCol - uniforms.pads[1] + uniforms.dilations[1] * WCol) / f32(uniforms.strides[1]);\n if (xR < 0.0 || xR >= f32(${p}) || fract(xR) > 0.0) {\n return ${o}(0.0);\n }\n if (xC < 0.0 || xC >= f32(${h}) || fract(xC) > 0.0) {\n return ${o}(0.0);\n }\n let iXR = i32(xR);\n let iXC = i32(xC);\n let xCh = ${y} % inChannels;\n ${a}\n return x[getIndexFromCoords4D(coord, vec4(uniforms.x_shape))/${i}];`,_=e?`\n let col = colIn * ${i};\n if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) {\n ${w}\n }\n return ${o}(0.0);`:`\n let col = colIn * ${i};\n if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {\n ${w}\n }\n return ${o}(0.0);`,v=`\n let col = colIn * ${i};\n let inChannels = ${e?"i32(uniforms.x_shape[3])":"i32(uniforms.x_shape[1])"};\n let coordX = uniforms.filter_dims[0] - 1 - row / (uniforms.filter_dims[1] * inChannels);\n let coordY = uniforms.filter_dims[1] - 1 - (row / inChannels) % uniforms.filter_dims[1];\n if (${e?"row < uniforms.dim_inner && col < uniforms.dim_b_outer":"row < uniforms.dim_inner && col < uniforms.dim_a_outer"} && coordX >= 0 && coordY >= 0) {\n let rowInner = row % inChannels;\n let coord = vec4(coordX, coordY, col, rowInner);\n ${u(i)}\n }\n return ${o}(0.0);\n `,S=St(r,o);return`\n fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${o} {\n ${e?_:v}\n }\n\n fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${o} {\n ${e?v:_}\n }\n\n fn mm_write(batch: i32, row : i32, colIn : i32, valueInput : ${o}) {\n let col = colIn * ${i};\n if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) {\n var value = valueInput;\n let outWidth = ${e?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};\n ${c}\n ${Dn(t)}\n ${S}\n result[getIndexFromCoords4D(coords, vec4(uniforms.result_shape))/${i}] = value;\n }\n }`},ou=(e,t,r,o,i,u,a,c)=>{let p=t.format==="NHWC",h=p?e[0].dims[3]:e[0].dims[1],d=r[0],y=p?r[2]:r[3],w=p?r[1]:r[2],_=p?r[3]:r[1],v=p&&h%4===0&&h%3&&_%4===0,S=p?_:y*w,A=p?y*w:_,I=[8,8,1],x=o<=8?[4,1,1]:[4,4,1],E=[Math.ceil(S/I[0]/x[0]),Math.ceil(A/I[1]/x[1]),Math.ceil(d/I[2]/x[2])];Ve("verbose",()=>`[conv_backprop_mm_webgpu] dispatch = ${E}`);let P=v?4:1,O=Math.max(I[0]*P,I[1]),R=v?4:1,L=[t.kernelShape[p?1:2],t.kernelShape[p?2:3]],N=[L[0]+(t.dilations[0]<=1?0:(L[0]-1)*(t.dilations[0]-1)),L[1]+(t.dilations[1]<=1?0:(L[1]-1)*(t.dilations[1]-1))],K=[N[0]-1-Math.floor((t.pads[0]+t.pads[2])/2),N[1]-1-Math.floor((t.pads[1]+t.pads[3])/2)],Q=[{type:6,data:o},{type:6,data:i},{type:6,data:u},{type:6,data:t.strides},{type:6,data:t.dilations},{type:6,data:L},{type:6,data:K}];xt(t,Q),Q.push(...Z(e[0].dims,e[1].dims));let he=["rank","rank"];a&&(Q.push(...Z(e[2].dims)),he.push("rank")),Q.push(...Z(r));let W=se=>{let Ce=U("x",e[0].dataType,e[0].dims.length,R),We=U("w",e[1].dataType,e[1].dims.length,1),ee=j("result",e[0].dataType,r.length,R),ae=[Ce,We],Ae="";if(a){let ue=U("bias",e[2].dataType,e[2].dims.length,R);ae.push(ue),Ae+=`\n fn getBiasByOutputCoords(coords : vec4) -> ${ue.type.value} {\n return bias[coords.${p?"w":"y"}${v?"/ 4":""}];\n }`}let me=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"},{name:"strides",type:"i32",length:2},{name:"dilations",type:"i32",length:2},{name:"filter_dims",type:"i32",length:L.length},{name:"pads",type:"i32",length:K.length}];Ct(t,me);let ie=De(e[0].dataType,1);if(ie!=="f16"&&ie!=="f32")throw new Error(`elemType ${ie} is not supported.`);return`\n ${Mn("uniforms.result_strides")}\n ${se.registerUniforms(me).declareVariables(...ae,ee)};\n ${Ae}\n ${Ac(p,a,t,Ce.type.value,P)}\n ${v?Hr(x,I,ie,void 0,!p,O):Lr(x,I,ie,void 0,!p,O,!1,void 0,c)}`};return{name:"Conv2DTransposeMatMul",shaderCache:{hint:`${t.cacheKey};${x};${I};${v}`,inputDependencies:he},getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:E[0],y:E[1],z:E[2]},programUniforms:Q}),getShaderSource:W}}});var Ic,Lo,au=Y(()=>{"use strict";ye();Lt();Se();_e();Ic=(e,t,r,o,i,u=!1,a,c,p=!1)=>{let h=p?1:2,d=p?2:3,y=p?3:1,w=u?2:1,_=`\n fn setOutputAtIndex(flatIndex : u32, value : ${u?`vec4<${a}>`:a}) {\n result[flatIndex] = ${u?`vec4<${a}>`:a}(value);\n }`;o&&(_+=`\n fn getBiasByOutputCoords(coords : vec4) -> ${u?`vec4<${a}>`:a} {\n return bias[coords.${p?"w":"y"}${u?"/ 4":""}];\n }`);let v=u?4:1,S=U("W",t[1].dataType,t[1].dims.length,v),A=U("Dy",t[0].dataType,t[0].dims.length,v),I=[A,S];o&&I.push(U("bias",t[2].dataType,[r[y]].length,v));let x=j("result",t[0].dataType,r.length,v),E=`{\n let batch: u32 = ${i?"global_id.z":"workgroup_id.z"} / uniforms.result_shape[1];\n let r = ${i?"global_id.z":"workgroup_id.z"} % uniforms.result_shape[1];\n let c = ${i?"global_id.y":"workgroup_id.y"} * ${w};\n let d1: u32 = ${i?"global_id.x":"workgroup_id.x"} * 4;\n\n let dyCorner = vec2(i32(r), i32(c)) - vec2(uniforms.pads);\n\n // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n // ? = to be determined. : = across all values in that axis.\n var dotProd: array, ${w}>;\n for (var i = 0; i < ${w}; i++) {\n dotProd[i] = vec4<${a}>(0.0);\n }\n for (var wR: u32 = 0; wR < uniforms.filter_dims[0]; wR = wR + 1) {\n var dyR = (${a}(dyCorner.x) + ${a}(wR)) / ${a}(uniforms.strides.x);\n let wRPerm = uniforms.filter_dims[0] - 1 - wR;\n if (dyR < 0.0 || dyR >= ${a}(uniforms.Dy_shape[1]) ||\n fract(dyR) > 0.0 || wRPerm < 0) {\n continue;\n }\n let idyR: u32 = u32(dyR);\n\n for (var wC: u32 = 0; wC < uniforms.filter_dims[1]; wC = wC + 1) {\n let dyC = (${a}(dyCorner.y) + ${a}(wC)) / ${a}(uniforms.strides.y);\n let dyC2 = (${a}(dyCorner.y) + 1.0 + ${a}(wC)) / ${a}(uniforms.strides.y);\n let wCPerm = uniforms.filter_dims[1] - 1 - wC;\n if (wCPerm < 0) {\n continue;\n }\n var bDyCVal = true;\n var bDyCVal2 = true;\n if (dyC < 0.0 || dyC >= ${a}(uniforms.Dy_shape[2]) ||\n fract(dyC) > 0.0) {\n bDyCVal = false;\n }\n if (dyC2 < 0.0 || dyC2 >= ${a}(uniforms.Dy_shape[2]) ||\n fract(dyC2) > 0.0) {\n bDyCVal2 = false;\n }\n\n let idyC: u32 = u32(dyC);\n let idyC2: u32 = u32(dyC2);\n if (bDyCVal && bDyCVal2) {\n let d2Length = uniforms.Dy_shape[3];\n for (var d2 :u32 = 0; d2 < d2Length; d2 = d2 + 4) {\n let wValue0 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1","d2")};\n let wValue1 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1 + 1","d2")};\n let wValue2 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1 + 2","d2")};\n let wValue3 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1 + 3","d2")};\n\n var xValue = ${A.get("batch","idyR","idyC","d2")};\n let tmpval = vec4<${a}>(dot(xValue, wValue0),\n dot(xValue, wValue1),\n dot(xValue, wValue2),\n dot(xValue, wValue3));\n dotProd[0] = dotProd[0] + tmpval;\n\n xValue = ${A.get("batch","idyR","idyC2","d2")};\n\n dotProd[1] = dotProd[1] + vec4<${a}>(dot(xValue, wValue0),\n dot(xValue, wValue1),\n dot(xValue, wValue2),\n dot(xValue, wValue3));\n }\n } else if (bDyCVal) {\n let d2Length = uniforms.Dy_shape[${y}];\n for (var d2: u32 = 0; d2 < d2Length; d2 = d2 + 4) {\n let wValue0 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1","d2")};\n let wValue1 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1 + 1","d2")};\n let wValue2 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1 + 2","d2")};\n let wValue3 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1 + 3","d2")};\n\n var xValue = ${A.get("batch","idyR","idyC","d2")};\n let tmpval = vec4<${a}>(dot(xValue, wValue0),\n dot(xValue, wValue1),\n dot(xValue, wValue2),\n dot(xValue, wValue3));\n dotProd[0] = dotProd[0] + tmpval;\n }\n } else if (bDyCVal2) {\n let d2Length = uniforms.Dy_shape[3];\n for (var d2: u32 = 0; d2 < d2Length; d2 = d2 + 4) {\n let wValue0 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1","d2")};\n let wValue1 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1 + 1","d2")};\n let wValue2 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1 + 2","d2")};\n let wValue3 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1 + 3","d2")};\n\n var xValue = ${A.get("batch","idyR","idyC2","d2")};\n let tmpval = vec4<${a}>(dot(xValue, wValue0),\n dot(xValue, wValue1),\n dot(xValue, wValue2),\n dot(xValue, wValue3));\n dotProd[1] = dotProd[1] + tmpval;\n }\n }\n }\n }\n\n for (var i: u32 = 0; i < ${w}; i = i + 1) {\n let value = dotProd[i] + ${o?"bias[c+i]":`vec4<${a}>(0.0)`};\n ${x.set("batch","r","c + i","d1","value")};\n }\n }`,P=`\n let outputIndices = ${x.offsetToIndices("global_idx")};\n let batch = ${x.indicesGet("outputIndices",0)};\n let d1 = ${x.indicesGet("outputIndices",y)};\n let r = ${x.indicesGet("outputIndices",h)};\n let c = ${x.indicesGet("outputIndices",d)};\n let dyCorner = vec2(i32(r), i32(c)) - uniforms.pads;\n let dyRCorner = dyCorner.x;\n let dyCCorner = dyCorner.y;\n let groupId = d1 / uniforms.output_channels_per_group;\n let wOutChannel = d1 - groupId * uniforms.output_channels_per_group;\n // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n // ? = to be determined. : = across all values in that axis.\n var dotProd = ${a}(0.0);\n for (var wR: u32 = 0; wR < uniforms.effective_filter_dims.x; wR = wR + 1) {\n if (wR % uniforms.dilations.x != 0) {\n continue;\n }\n let dyR = (${a}(dyRCorner) + ${a}(wR)) / ${a}(uniforms.strides[0]);\n let wRPerm = uniforms.filter_dims.x - 1 - wR / uniforms.dilations.x;\n if (dyR < 0.0 || dyR >= ${a}(uniforms.Dy_shape[${h}]) || fract(dyR) > 0.0 ||\n wRPerm < 0) {\n continue;\n }\n let idyR: u32 = u32(dyR);\n\n for (var wC: u32 = 0; wC < uniforms.effective_filter_dims.y; wC = wC + 1) {\n if (wC % uniforms.dilations.y != 0) {\n continue;\n }\n let dyC = (${a}(dyCCorner) + ${a}(wC)) / ${a}(uniforms.strides.y);\n let wCPerm = uniforms.filter_dims.y - 1 - wC / uniforms.dilations.y;\n if (dyC < 0.0 || dyC >= ${a}(uniforms.Dy_shape[${d}]) ||\n fract(dyC) > 0.0 || wCPerm < 0) {\n continue;\n }\n let idyC: u32 = u32(dyC);\n var inputChannel = groupId * uniforms.input_channels_per_group;\n for (var d2: u32 = 0; d2 < uniforms.input_channels_per_group; d2 = d2 + 1) {\n let xValue = ${p?A.get("batch","idyR","idyC","inputChannel"):A.get("batch","inputChannel","idyR","idyC")};\n let wValue = ${S.get("inputChannel","wOutChannel","u32(wRPerm)","u32(wCPerm)")};\n dotProd = dotProd + xValue * wValue;\n inputChannel = inputChannel + 1;\n }\n }\n }\n let value = dotProd + ${o?"bias[d1]":`${a}(0.0)`};\n ${x.setByOffset("global_idx","value")};\n `;return`\n ${e.registerUniforms(c).declareVariables(...I,x)}\n ${_}\n\n ${e.mainStart()}\n ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")};\n ${u?E:P}}`},Lo=(e,t,r)=>{let o=e.length>2,i=t.outputShape,u=M.size(i),a=[Math.ceil(u/64),1,1];Ve("verbose",()=>`[conv2d_backprop_webgpu] dispatch = ${a}`);let c=t.format==="NHWC",p=["rank","rank"],h=[t.strides[0],t.strides[1]],d=[t.kernelShape[c?1:2],t.kernelShape[c?2:3]],y=[t.dilations[0],t.dilations[1]],w=[d[0]+(t.dilations[0]<=1?0:(t.kernelShape[c?1:2]-1)*(t.dilations[0]-1)),d[1]+(t.dilations[1]<=1?0:(t.kernelShape[c?2:3]-1)*(t.dilations[1]-1))],_=[w[0]-1-Math.floor((t.pads[0]+t.pads[2])/2),w[1]-1-Math.floor(t.pads[1]+t.pads[3])/2],v=!1,S=t.group,A=e[1].dims,I=A[0]/S,x=A[1],E=[{type:12,data:u},{type:12,data:h},{type:12,data:d},{type:12,data:y},{type:12,data:w},{type:6,data:_},{type:12,data:I},{type:12,data:x},...Z(e[0].dims,e[1].dims)];o&&(E.push(...Z(e[2].dims)),p.push("rank")),E.push(...Z(i));let P=a[1]===1&&a[2]===1,O=R=>{let L=[{name:"output_size",type:"u32"},{name:"strides",type:"u32",length:h.length},{name:"filter_dims",type:"u32",length:d.length},{name:"dilations",type:"u32",length:d.length},{name:"effective_filter_dims",type:"u32",length:w.length},{name:"pads",type:"i32",length:_.length},{name:"input_channels_per_group",type:"u32"},{name:"output_channels_per_group",type:"u32"}],N=De(e[0].dataType);return`${Ic(R,e,i,o,P,v,N,L,c)}`};return{name:"ConvTranspose2D",shaderCache:{hint:`${t.cacheKey};`,inputDependencies:p},getRunData:()=>({dispatchGroup:{x:a[0],y:a[1],z:a[2]},outputs:[{dims:r?r(i):i,dataType:e[0].dataType}],programUniforms:E}),getShaderSource:O}}});var Tc,Ec,Pc,su,uu,kc,Oc,Rc,Bc,du,lu=Y(()=>{"use strict";iu();au();Ft();Sr();Tc=(e,t,r,o,i,u)=>(e-1)*t+r+(o-1)*i+1-u,Ec=(e,t,r,o,i)=>{let u=Math.floor(e/2);t==="SAME_UPPER"?(r[o]=u,r[i]=e-u):t==="SAME_LOWER"&&(r[o]=e-u,r[i]=u)},Pc=(e,t,r,o,i,u,a,c,p,h)=>{let d=e.length-2,y=h.length===0;if(p.length===0)for(let v=0;v{let r=e.kernelShape.slice();if(e.kernelShape.length===0||e.kernelShape.reduce((y,w)=>y*w,1)===0){r.length=0;for(let y=2;yy+w,0)===0){let y=t[0].dims.length-2;p=new Array(y).fill(1)}let h=e.strides.slice();if(h.reduce((y,w)=>y+w,0)===0){let y=t[0].dims.length-2;h=new Array(y).fill(1)}Pc(c,r,p,e.autoPad,e.group,i,h,o,a,u);let d=Object.assign({},e);return Object.assign(d,{kernelShape:r,pads:i,outputPadding:a,outputShape:u,dilations:p,strides:h}),d},uu=e=>{let t=Bn(e),r=e.format,o=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][typeof e.autoPad>"u"?0:e.autoPad],i=e.dilations,u=e.group,a=e.kernelShape,c=e.pads,p=e.strides,h=e.wIsConst(),d=e.outputPadding,y=e.outputShape;return{autoPad:o,format:r,dilations:i,group:u,kernelShape:a,outputPadding:d,outputShape:y,pads:c,strides:p,wIsConst:h,...t,cacheKey:`${e.format};${t.activation};`}},kc=(e,t)=>{if(!e||e.length!==2&&e.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(e[0].dims.length!==4&&e[0].dims.length!==3)throw new Error("currently only support 2-dimensional conv");if(e[0].dims.length!==e[1].dims.length)throw new Error("filter does not have same dimension as input");let r=e[0].dims[t.format==="NHWC"?e[0].dims.length-1:1],o=e[1].dims[0];if(r!==o)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");let i=e[1].dims[1]*t.group;if(e.length===3&&(e[2].dims.length!==1||e[2].dims[0]!==i))throw new Error("invalid bias");let u=e[0].dims.length-2;if(t.dilations.reduce((d,y)=>d+y,0)>0&&t.dilations.length!==u)throw new Error(`dilations should be ${u}D`);if(t.strides.reduce((d,y)=>d+y,0)>0&&t.strides.length!==u)throw new Error(`strides should be ${u}D`);if(t.pads.reduce((d,y)=>d+y,0)>0&&t.pads.length!==u*2)throw new Error(`pads should be ${u*2}D`);if(t.outputPadding.length!==u&&t.outputPadding.length!==0)throw new Error(`output_padding should be ${u}D`);if(t.kernelShape.reduce((d,y)=>d+y,0)>0&&t.kernelShape.length!==0&&t.kernelShape.length!==e[1].dims.length-2)throw new Error("invalid kernel shape");if(t.outputShape.length!==0&&t.outputShape.length!==e[0].dims.length-2)throw new Error("invalid output shape")},Oc=[2,3,1,0],Rc=(e,t,r)=>{let o=su(r,t),i=r.format==="NHWC",u=o.outputShape,a=u[i?3:1],c=t[0].dims[i?3:1];if(o.group!==1||a===1&&c===1){e.compute(Lo(t,o));return}let p=u[i?1:2],h=u[i?2:3],d=t[1].dims[2],y=t[1].dims[3],w=i?p*h:a,_=i?a:p*h,v=d*y*c,S=!0,A=e.kernelCustomData.wT??e.compute(yt(t[1],Oc),{inputs:[1],outputs:[r.wIsConst?-2:-1]})[0];r.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=A);let I=[t[0],A],x=t.length===3;x&&(!i&&t[2].dims.length===1?I.push(t[2].reshape([t[2].dims[0],1,1])):I.push(t[2])),e.compute(ou(I,o,u,w,_,v,x,S),{inputs:I})},Bc=(e,t)=>{let r=t.format==="NHWC",o=[e.inputs[0].reshape(r?[e.inputs[0].dims[0],1,e.inputs[0].dims[1],e.inputs[0].dims[2]]:[e.inputs[0].dims[0],e.inputs[0].dims[1],1,e.inputs[0].dims[2]]),e.inputs[1].reshape([e.inputs[1].dims[0],e.inputs[1].dims[1],1,e.inputs[1].dims[2]])];e.inputs.length===3&&o.push(e.inputs[2]);let i=t.kernelShape;(i.length===0||i[0]===0)&&(i=[e.inputs[1].dims[2]]);let u=t.dilations;(u.length===0||u[0]===0)&&(u=[1]);let a=t.strides;(a.length===0||a[0]===0)&&(a=[1]);let c=t.pads;c.length===0&&(c=[0,0]),c=[0,c[0],0,c[1]],a=[1].concat(a),u=[1].concat(u),i=[1].concat(i);let p=su({...t,pads:c,strides:a,dilations:u,kernelShape:i},o);e.compute(Lo(o,p,h=>r?[h[0],h[2],h[3]]:[h[0],h[1],h[3]]))},du=(e,t)=>{kc(e.inputs,t),e.inputs[0].dims.length===3?Bc(e,t):Rc(e,e.inputs,t)}});var Dc,cu,pu,mu=Y(()=>{"use strict";ye();Se();Ze();_e();Dc=(e,t,r,o)=>{let i=M.size(t),u=t.length,a=U("input",e,u),c=j("output",e,u),p=r.dataType===6?r.getInt32Array()[0]:Number(r.getBigInt64Array()[0]),h=M.normalizeAxis(p,u),d=y=>{let w=` i32(${a.indicesGet("inputIndices","uniforms.axis")}) `,_=fe("uniforms.input_shape","uniforms.axis",u),v=o.reverse?w+(o.exclusive?" + 1":""):"0",S=o.reverse?_:w+(o.exclusive?"":" + 1");return`\n ${y.registerUniform("outputSize","u32").registerUniform("axis","u32").declareVariables(a,c)}\n ${y.mainStart()}\n ${y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}\n var inputIndices = ${c.offsetToIndices("global_idx")};\n var sum = ${c.type.value}(0);\n let first : i32 = ${v};\n let last : i32 = ${S};\n for (var i : i32 = first; i < last; i++) {\n ${a.indicesSet("inputIndices","uniforms.axis","u32(i)")};\n sum = sum + ${a.getByIndices("inputIndices")};\n }\n ${c.setByOffset("global_idx","sum")};\n }`};return{name:"CumSum",shaderCache:{hint:o.cacheKey,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:t,dataType:e}],dispatchGroup:{x:Math.ceil(i/64)},programUniforms:[{type:12,data:i},{type:12,data:h},...Z(t,t)]}),getShaderSource:d}},cu=(e,t)=>{let r=e.inputs[0].dims,o=e.inputs[0].dataType,i=e.inputs[1];e.compute(Dc(o,r,i,t),{inputs:[0]})},pu=e=>{let t=e.exclusive===1,r=e.reverse===1;return ve({exclusive:t,reverse:r})}});var zc,Mc,Uc,fu,hu,gu=Y(()=>{"use strict";ye();Se();Ze();_e();zc=e=>{if(!e||e.length!==1)throw new Error("DepthToSpace requires 1 input.");if(e[0].dims.length!==4)throw new Error("DepthToSpace requires 4D input.")},Mc=(e,t,r,o)=>{let i=[];i.push(`fn perm(i: ${o.type.indices}) -> ${r.type.indices} {\n var a: ${r.type.indices};`);for(let u=0;u{let r,o,i,u,a,c,p=t.format==="NHWC",h=t.blocksize,d=t.mode==="DCR";p?([r,o,i,u]=e.dims,a=d?[r,o,i,h,h,u/h**2]:[r,o,i,u/h**2,h,h],c=d?[0,1,3,2,4,5]:[0,1,4,2,5,3]):([r,o,i,u]=[e.dims[0],e.dims[2],e.dims[3],e.dims[1]],a=d?[r,h,h,u/h**2,o,i]:[r,u/h**2,h,h,o,i],c=d?[0,3,4,1,5,2]:[0,1,4,2,5,3]);let y=e.reshape(a),w=y.dims.length,_=e.dataType,v=U("a",_,w),S=j("output",_,w),A=I=>`\n ${I.registerUniform("output_size","u32").declareVariables(v,S)}\n\n ${Mc(c,w,v,S)}\n\n ${I.mainStart()}\n ${I.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}\n\n let indices = ${S.offsetToIndices("global_idx")};\n let aIndices = perm(indices);\n\n ${S.setByOffset("global_idx",v.getByIndices("aIndices"))}\n }`;return{name:"DepthToSpace",shaderCache:{hint:`${e.dims};${t.blocksize};${t.mode}`,inputDependencies:["rank"]},getRunData:I=>{let x=p?[r,o*h,i*h,u/h**2]:[r,u/h**2,o*h,i*h],E=M.size(x),P=y.dims,O=M.sortBasedOnPerm(P,c);return{outputs:[{dims:x,dataType:I[0].dataType}],dispatchGroup:{x:Math.ceil(E/64)},programUniforms:[{type:12,data:E},...Z(P,O)]}},getShaderSource:A}},fu=(e,t)=>{zc(e.inputs),e.compute(Uc(e.inputs[0],t))},hu=e=>ve({blocksize:e.blocksize,mode:e.mode,format:e.format})});var Fo,Wn,yu,Vc,Wc,qo,jo,bu,Nc,wu,vu,$u=Y(()=>{"use strict";ye();Se();Ze();_e();Fo="[a-zA-Z]|\\\\.\\\\.\\\\.",Wn="("+Fo+")+",yu="^"+Wn+"$",Vc="("+Wn+",)*"+Wn,Wc="^"+Vc+"$",qo=class{constructor(t=-1){this.symbolToIndices=new Map,this.inputIndex=t}addSymbol(t,r){let o=this.symbolToIndices.get(t);o===void 0?o=[r]:o.push(r),this.symbolToIndices.set(t,o)}},jo=class{constructor(t,r){this.equation=r;this.hasEllipsis=!1,this.symbolToInfo=new Map,this.lhs=new Array,this.outputDims=[];let[o,i]=r.includes("->")?r.split("->",2):[r,""];if(!o.match(RegExp(Wc)))throw new Error("Invalid LHS term");if(o.split(",").forEach((c,p)=>{let h=t[p].dims.slice();if(!c.match(RegExp(yu)))throw new Error("Invalid LHS term");let d=this.processTerm(c,!0,h,p);this.lhs.push(d)}),i==="")i+=[...this.symbolToInfo.entries()].filter(([c,p])=>p.count===1||c==="...").map(([c])=>c).join("");else if(!i.match(RegExp(Wn)))throw new Error("Invalid RHS");i.match(RegExp(Fo,"g"))?.forEach(c=>{if(c==="...")this.outputDims=this.outputDims.concat(this.ellipsisDims);else{let p=this.symbolToInfo.get(c);if(p===void 0)throw new Error("Invalid RHS symbol");this.outputDims.push(p.dimValue)}}),this.rhs=this.processTerm(i,!1,this.outputDims)}addSymbol(t,r,o){let i=this.symbolToInfo.get(t);if(i!==void 0){if(i.dimValue!==r&&i.count!==1)throw new Error("Dimension mismatch");i.count++,i.inputIndices.push(o)}else i={count:1,dimValue:r,inputIndices:[o]};this.symbolToInfo.set(t,i)}processTerm(t,r,o,i=-1){let u=o.length,a=!1,c=[],p=0;if(!t.match(RegExp(yu))&&!r&&t!=="")throw new Error("Invalid LHS term");let h=t.match(RegExp(Fo,"g")),d=new qo(i);return h?.forEach((y,w)=>{if(y==="..."){if(a)throw new Error("Only one ellipsis is allowed per input term");a=!0;let _=u-h.length+1;if(_<0)throw new Error("Ellipsis out of bounds");if(c=o.slice(p,p+_),this.hasEllipsis){if(this.ellipsisDims.length!==c.length||this.ellipsisDims.toString()!==c.toString())throw new Error("Ellipsis dimensions mismatch")}else if(r)this.hasEllipsis=!0,this.ellipsisDims=c;else throw new Error("Ellipsis must be specified in the LHS");for(let v=0;ve+"_max",Nc=(e,t,r,o)=>{let u=e.map(d=>d.length).map((d,y)=>U(`input${y}`,t,d)),a=M.size(o),c=j("output",t,o.length),p=[...r.symbolToInfo.keys()].filter(d=>!r.rhs.symbolToIndices.has(d)),h=d=>{let y=[],w="var prod = 1.0;",_="var sum = 0.0;",v="sum += prod;",S=[],A=[],I=[],x=[],E=r.symbolToInfo.size===r.rhs.symbolToIndices.size;r.symbolToInfo.forEach((O,R)=>{if(r.rhs.symbolToIndices.has(R)){let L=r.rhs.symbolToIndices.get(R)?.[0];L!==void 0&&r.lhs.forEach((N,K)=>{if(O.inputIndices.includes(K)){let Q=N.symbolToIndices.get(R);if(Q===void 0)throw new Error("Invalid symbol error");Q.forEach(he=>{y.push(`${u[K].indicesSet(`input${K}Indices`,he,c.indicesGet("outputIndices",L))}`)})}})}else r.lhs.forEach((L,N)=>{if(O.inputIndices.includes(N)){let K=L.symbolToIndices.get(R);if(K===void 0)throw new Error("Invalid symbol error");K.forEach(Q=>{S.push(`${u[N].indicesSet(`input${N}Indices`,Q,`${R}`)}`)}),x.push(`prod *= ${u[N].getByIndices(`input${N}Indices`)};`)}}),A.push(`for(var ${R}: u32 = 0; ${R} < uniforms.${bu(R)}; ${R}++) {`),I.push("}")});let P=E?[...y,`let sum = ${u.map((O,R)=>O.getByIndices(`input${R}Indices`)).join(" * ")};`]:[...y,_,...A,...S,w,...x,v,...I];return`\n ${d.registerUniforms(p.map(O=>({name:`${bu(O)}`,type:"u32"}))).registerUniform("outputSize","u32").declareVariables(...u,c)}\n\n ${d.mainStart()}\n ${d.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}\n var outputIndices = ${c.offsetToIndices("global_idx")};\n ${u.map((O,R)=>`var input${R}Indices: ${u[R].type.indices};`).join(`\n`)}\n ${P.join(`\n`)};\n ${c.setByOffset("global_idx","sum")};\n }`};return{name:"Einsum",shaderCache:{hint:r.equation,inputDependencies:e.map(()=>"rank")},getRunData:()=>{let d=p.filter(w=>r.symbolToInfo.has(w)).map(w=>({type:12,data:r.symbolToInfo.get(w)?.dimValue||0}));d.push({type:12,data:a});let y=e.map((w,_)=>[...Z(w)]).reduce((w,_)=>w.concat(_),d);return y.push(...Z(o)),{outputs:[{dims:o,dataType:t}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:y}},getShaderSource:h}},wu=(e,t)=>{let r=new jo(e.inputs,t.equation),o=r.outputDims,i=e.inputs.map((u,a)=>u.dims);e.compute(Nc(i,e.inputs[0].dataType,r,o))},vu=e=>{let t=e.equation.replace(/\\s+/g,"");return ve({equation:t})}});var Gc,_u,Hc,Lc,Su,xu=Y(()=>{"use strict";ye();Se();_e();Gc=e=>{if(!e||e.length!==2)throw new Error("Expand requires 2 input.");let t=e[0].dims,r=Array.from(e[1].getBigInt64Array(),Number),o=r.length{let r=e.length-t.length,o=[];for(let i=0;ie.length>t.length?_u(e,t):_u(t,e),Lc=e=>{let t=e[0].dims,r=Array.from(e[1].getBigInt64Array(),Number),o=Hc(t,r),i=e[0].dataType,u=i===9?4:1,a=Math.ceil(M.size(o)/u),c=h=>{let d=U("input",i,t.length,u),y=j("output",i,o.length,u),w;if(i===9){let _=(v,S,A="")=>`\n let outputIndices${S} = ${y.offsetToIndices(`outputOffset + ${S}u`)};\n let offset${S} = ${d.broadcastedIndicesToOffset(`outputIndices${S}`,y)};\n let index${S} = offset${S} / 4u;\n let component${S} = offset${S} % 4u;\n ${v}[${S}] = ${A}(${d.getByOffset(`index${S}`)}[component${S}]);\n `;w=`\n let outputOffset = global_idx * ${u};\n var data = vec4(0);\n ${_("data",0,"u32")}\n ${_("data",1,"u32")}\n ${_("data",2,"u32")}\n ${_("data",3,"u32")}\n ${y.setByOffset("global_idx","data")}\n }`}else w=`\n let outputIndices = ${y.offsetToIndices("global_idx")};\n let inputOffset = ${d.broadcastedIndicesToOffset("outputIndices",y)};\n ${y.setByOffset("global_idx",d.getByOffset("inputOffset"))}\n }`;return`\n ${h.registerUniform("vec_size","u32").declareVariables(d,y)}\n ${h.mainStart()}\n ${h.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}\n ${w}`},p=[{type:12,data:a},...Z(t,o)];return{name:"Expand",shaderCache:{hint:`${o.length}`,inputDependencies:["rank"]},getShaderSource:c,getRunData:()=>({outputs:[{dims:o,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:p})}},Su=e=>{Gc(e.inputs),e.compute(Lc(e.inputs),{inputs:[0]})}});var Fc,Cu,Au=Y(()=>{"use strict";ye();Se();_e();Rn();Fc=e=>{let t=e[0].dataType,r=M.size(e[0].dims),o=M.size(e[1].dims),i=o%4===0,u=a=>{let c=U("x",t,[1],4),p=U("bias",t,[1],4),h=j("y",t,[1],4),d=[{name:"output_vec_size",type:"u32"},{name:"bias_size",type:"u32"}],y=_=>`\n let bias${_}_offset: u32 = (global_idx * 4 + ${_}) % uniforms.bias_size;\n let bias${_} = ${p.getByOffset(`bias${_}_offset / 4`)}[bias${_}_offset % 4];`,w=i?`\n let bias = ${p.getByOffset("global_idx % (uniforms.bias_size / 4)")};`:`${y(0)}${y(1)}${y(2)}${y(3)}\n let bias = ${c.type.value}(bias0, bias1, bias2, bias3);`;return`${a.registerUniforms(d).declareVariables(c,p,h)}\n\n ${Bo(et(t))}\n\n ${a.mainStart(or)}\n ${a.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_vec_size")}\n\n let x = ${c.getByOffset("global_idx")};\n ${w}\n let x_in = x + bias;\n ${h.setByOffset("global_idx",Do("x_in"))}\n }`};return{name:"FastGeluWithBias",shaderCache:{hint:`${i}`,inputDependencies:["type","type"]},getShaderSource:u,getRunData:a=>({outputs:[{dims:a[0].dims,dataType:a[0].dataType}],programUniforms:[{type:12,data:Math.ceil(r/4)},{type:12,data:o}],dispatchGroup:{x:Math.ceil(r/or/4)}})}},Cu=e=>{e.inputs.length<2||M.size(e.inputs[1].dims)===0?Bs(e):e.compute(Fc(e.inputs))}});var qc,jc,Iu,Tu,Eu=Y(()=>{"use strict";ye();Se();Ze();_e();qc=e=>{if(!e||e.length!==2)throw new Error("Gather requires 2 inputs.")},jc=(e,t)=>{let r=e[0].dims,o=e[1].dims,i=r.length,u=M.normalizeAxis(t.axis,i),a=r.slice(0);a.splice(u,1,...o);let c=r[u],p=e[0].dataType===9?4:1,h=Math.ceil(M.size(a)/p),d=[{type:12,data:h},{type:6,data:c},{type:12,data:u},...Z(e[0].dims,e[1].dims,a)],y=w=>{let _=U("data",e[0].dataType,e[0].dims.length,p),v=U("inputIndices",e[1].dataType,e[1].dims.length),S=j("output",e[0].dataType,a.length,p),A=x=>{let E=o.length,P=`var indicesIndices${x} = ${v.type.indices}(0);`;for(let O=0;O1?`indicesIndices${x}[${O}]`:`indicesIndices${x}`} = ${a.length>1?`outputIndices${x}[uniforms.axis + ${O}]`:`outputIndices${x}`};`;P+=`\n var idx${x} = ${v.getByIndices(`indicesIndices${x}`)};\n if (idx${x} < 0) {\n idx${x} = idx${x} + uniforms.axisDimLimit;\n }\n var dataIndices${x} : ${_.type.indices};\n `;for(let O=0,R=0;O1?`dataIndices${x}[${O}]`:`dataIndices${x}`} = u32(idx${x});`,R+=E):(P+=`${i>1?`dataIndices${x}[${O}]`:`dataIndices${x}`} = ${a.length>1?`outputIndices${x}[${R}]`:`outputIndices${x}`};`,R++);return P},I;if(e[0].dataType===9){let x=(E,P,O="")=>`\n let outputIndices${P} = ${S.offsetToIndices(`outputOffset + ${P}u`)};\n ${A(P)};\n let offset${P} = ${_.indicesToOffset(`dataIndices${P}`)};\n let index${P} = offset${P} / 4u;\n let component${P} = offset${P} % 4u;\n ${E}[${P}] = ${O}(${_.getByOffset(`index${P}`)}[component${P}]);\n `;I=`\n let outputOffset = global_idx * ${p};\n var value = vec4(0);\n ${x("value",0,"u32")}\n ${x("value",1,"u32")}\n ${x("value",2,"u32")}\n ${x("value",3,"u32")}\n ${S.setByOffset("global_idx","value")}\n `}else I=`\n let outputIndices = ${S.offsetToIndices("global_idx")};\n ${A("")};\n let value = ${_.getByIndices("dataIndices")};\n ${S.setByOffset("global_idx","value")};\n `;return`\n ${w.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(_,v,S)}\n ${w.mainStart()}\n ${w.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}\n ${I}\n }`};return{name:"Gather",shaderCache:{hint:t.cacheKey,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:a,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:d}),getShaderSource:y}},Iu=e=>ve({axis:e.axis}),Tu=(e,t)=>{let r=e.inputs;qc(r),e.compute(jc(e.inputs,t))}});var Kc,Yc,Pu,ku,Ou=Y(()=>{"use strict";ye();Se();Ze();_e();Kc=e=>{if(!e||e.length!==2)throw new Error("GatherElements requires 2 inputs.");if(e[0].dims.length<1)throw new Error("GatherElements requires that the data input be rank >= 1.");if(e[0].dims.length!==e[1].dims.length)throw new Error(`GatherElements requires that the data input and\n indices input tensors be of same rank.`)},Yc=(e,t)=>{let r=e[0].dims,o=e[0].dataType,i=r.length,u=e[1].dims,a=e[1].dataType,c=M.normalizeAxis(t.axis,i),p=r[c],h=u.slice(0),d=M.size(h),y=U("input",o,i),w=U("indicesInput",a,u.length),_=j("output",o,h.length),v=[{type:12,data:d},{type:6,data:p},{type:12,data:c}];return v.push(...Z(r,u,h)),{name:"GatherElements",shaderCache:{inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:h,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(d/64)},programUniforms:v}),getShaderSource:I=>`\n ${I.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(y,w,_)}\n ${I.mainStart()}\n ${I.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}\n\n let outputIndices = ${_.offsetToIndices("global_idx")};\n\n var idx = ${w.getByOffset("global_idx")};\n if (idx < 0) {\n idx = idx + uniforms.axisDimLimit;\n }\n var inputIndices = ${y.type.indices}(outputIndices);\n ${y.indicesSet("inputIndices","uniforms.axis","u32(idx)")};\n let value = ${y.getByIndices("inputIndices")};\n\n ${_.setByOffset("global_idx","value")};\n }`}},Pu=e=>ve({axis:e.axis}),ku=(e,t)=>{let r=e.inputs;Kc(r),e.compute(Yc(e.inputs,t))}});var Zc,Xc,Ru,Bu,Du=Y(()=>{"use strict";ye();Se();_e();Zc=e=>{if(!e)throw new Error("Input is missing");if(e.length<2||e.length>3)throw new Error("Invaid input number.");if(e.length===3&&e[2].dims.length>2)throw new Error("Invalid input shape of C");if(e[0].dataType!==e[1].dataType||e.length===3&&e[0].dataType!==e[2].dataType)throw new Error("Input types are mismatched")},Xc=(e,t)=>{let r=e[0].dims.slice(),o=e[1].dims.slice(),[i,u,a]=Sn.getShapeOfGemmResult(r,t.transA,o,t.transB,e.length===3?e[2].dims:void 0),c=[i,u];if(!c)throw new Error("Can\'t use gemm on the given tensors");let p=M.size(c),h=[{type:12,data:p},{type:12,data:i},{type:12,data:u},{type:12,data:a},{type:1,data:t.alpha},{type:1,data:t.beta}],d=["type","type"];e.length===3&&(h.push(...Z(e[2].dims)),d.push("rank")),h.push(...Z(c));let y=w=>{let _="";t.transA&&t.transB?_="value += a[k * uniforms.M + m] * b[n * uniforms.K + k];":t.transA&&!t.transB?_="value += a[k * uniforms.M + m] * b[k * uniforms.N + n];":!t.transA&&t.transB?_="value += a[m * uniforms.K + k] * b[n * uniforms.K + k];":!t.transA&&!t.transB&&(_="value += a[m * uniforms.K + k] * b[k * uniforms.N + n];");let v=t.alpha===1?"":"value *= uniforms.alpha;",S=U("a",e[0].dataType,e[0].dims),A=U("b",e[1].dataType,e[1].dims),I=S.type.value,x=null,E=[S,A];e.length===3&&(x=U("c",e[2].dataType,e[2].dims.length),E.push(x));let P=j("output",e[0].dataType,c.length);E.push(P);let O=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"},{name:"alpha",type:"f32"},{name:"beta",type:"f32"}];return`\n ${w.registerUniforms(O).declareVariables(...E)}\n\n ${w.mainStart()}\n ${w.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}\n\n let m = global_idx / uniforms.N;\n let n = global_idx % uniforms.N;\n\n var value = ${I}(0);\n for (var k: u32 = 0u; k < uniforms.K; k++) {\n ${_}\n }\n\n ${v}\n ${(()=>x!=null?`let cOffset = ${x.broadcastedIndicesToOffset("vec2(m, n)",P)}; value += ${I}(uniforms.beta) * ${x.getByOffset("cOffset")};`:"")()}\n output[global_idx] = value;\n }`};return{name:"Gemm",shaderCache:{hint:`${t.cacheKey}`,inputDependencies:d},getRunData:()=>({outputs:[{dims:c,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(p/64)},programUniforms:h}),getShaderSource:y}},Ru=e=>{let t=e.transA,r=e.transB,o=e.alpha,i=e.beta;return{transA:t,transB:r,alpha:o,beta:i,cacheKey:`${e.transA};${e.transB};${e.alpha===1}`}},Bu=(e,t)=>{Zc(e.inputs),e.compute(Xc(e.inputs,t))}});var Qc,Jc,ep,zu,Mu=Y(()=>{"use strict";ye();Se();_e();Qc=(e,t)=>{let r=e[0].dims,o=r,i=2,u=M.sizeToDimension(r,i),a=M.sizeFromDimension(r,i),c=Me(a),p=a/c,h=[r[0],r[1],p],d=["rank","type","type"],y=[{type:12,data:a},{type:12,data:p}];y.push(...Z(h,h));let w=_=>{let v=U("x",e[0].dataType,h.length,c),S=U("scale",e[1].dataType,e[1].dims),A=U("bias",e[2].dataType,e[2].dims),I=j("output",e[0].dataType,h.length,c),x=[v,S,A,I],E=v.type.value,P=c===1?"f32":`vec${c}`,O=64,R=[{name:"normSize",type:"u32"},{name:"normPackedSize",type:"u32"}];return`\n var meanShared : f32;\n var squaredNormShared : f32;\n var workgroupShared : array<${P}, ${O}>;\n const workgroupSize = ${O}u;\n ${_.registerUniforms(R).declareVariables(...x)}\n ${_.mainStart(O)}\n let norm = global_idx / workgroupSize;\n let batch = norm / uniforms.x_shape[1];\n let channel = norm % uniforms.x_shape[1];\n let localIndex = local_id.x;\n\n // initialize workgroup memory\n var initial = ${P}(0);\n for (var h = localIndex; h < uniforms.normPackedSize; h += workgroupSize) {\n initial = initial + ${P}(${v.get("batch","channel","h")});\n }\n workgroupShared[localIndex] = initial;\n workgroupBarrier();\n\n // Calculate the mean of current channel data.\n for (var currSize = workgroupSize >> 1; currSize > 0; currSize = currSize >> 1) {\n if (localIndex < currSize) {\n workgroupShared[localIndex] = workgroupShared[localIndex] + workgroupShared[localIndex + currSize];\n }\n workgroupBarrier();\n }\n if (localIndex == 0) {\n meanShared = ${_t("workgroupShared[0]",c)} / f32(uniforms.normSize);\n }\n workgroupBarrier();\n\n // reinitialize workgroup memory.\n initial = ${P}(0);\n for (var h = localIndex; h < uniforms.normPackedSize; h += workgroupSize) {\n let deviation = ${P}(${v.get("batch","channel","h")}) - ${P}(meanShared);\n initial = initial + deviation * deviation;\n }\n workgroupShared[localIndex] = initial;\n workgroupBarrier();\n\n // Calculate the sum of square of deviation of current channel data.\n for (var currSize = workgroupSize >> 1; currSize > 0; currSize = currSize >> 1) {\n if (localIndex < currSize) {\n workgroupShared[localIndex] = workgroupShared[localIndex] + workgroupShared[localIndex + currSize];\n }\n workgroupBarrier();\n }\n if (localIndex == 0) {\n squaredNormShared = ${_t("workgroupShared[0]",c)};\n }\n workgroupBarrier();\n\n let invStdDev = inverseSqrt(squaredNormShared / f32(uniforms.normSize) + f32(${t.epsilon}));\n let channelScale = invStdDev * f32(${S.getByOffset("channel")});\n let channelShift = f32(${A.getByOffset("channel")}) - meanShared * channelScale;\n for (var h = localIndex; h < uniforms.normPackedSize; h += workgroupSize) {\n let value = ${v.get("batch","channel","h")} * ${E}(${P}(channelScale)) + ${E}(${P}(channelShift));\n ${I.set("batch","channel","h","value")};\n }\n }`};return{name:"InstanceNormalization",shaderCache:{hint:`${t.epsilon};${c}`,inputDependencies:d},getRunData:()=>({outputs:[{dims:o,dataType:e[0].dataType}],dispatchGroup:{x:u},programUniforms:y}),getShaderSource:w}},Jc=(e,t,r,o,i,u,a,c)=>{let p=Me(a),h=64,d=p===1?"vec2f":`mat2x${p}f`,y=p===1?"f32":`vec${p}f`,w=(R,L)=>`${d}(${R}, ${L})`,_=i*a/p,v=Math.ceil(u/h),S=["type"],A=[{type:12,data:v},{type:12,data:u},{type:12,data:Math.floor(a/p)},{type:12,data:Math.floor(u*a/p)}],I=R=>{let L=U("input",t.dataType,t.dims,p);return`\n ${R.declareVariables(L)}\n @group(0) @binding(1) var output : array<${d}>;\n struct Uniforms {wg_size:u32, H:u32, C:u32, image_size:u32};\n @group(0) @binding(2) var uniforms: Uniforms;\n\n ${R.mainStart(h)}\n let currentImageNumber = global_idx / ${h} / uniforms.C;\n let currentChannelNumber = (global_idx / ${h}) % uniforms.C;\n let wgOffset = local_id.x * uniforms.wg_size;\n if (wgOffset >= uniforms.H) {\n return;\n }\n let wgMax = min(wgOffset + uniforms.wg_size, uniforms.H);\n\n let offset = currentImageNumber * uniforms.image_size + currentChannelNumber;\n var sum = ${$t("f32",p)};\n var squaredSum = ${$t("f32",p)};\n for (var i: u32 = wgOffset; i < wgMax; i++) {\n let value = ${y}(input[offset + i * uniforms.C]);\n sum += value;\n squaredSum += value * value;\n }\n output[global_idx] = ${w("sum","squaredSum")};\n }`},x=e.compute({name:"InstanceNormComputeMean",shaderCache:{hint:`${p}`,inputDependencies:S},getRunData:()=>({outputs:[{dims:[i,a,h,2],dataType:1}],dispatchGroup:{x:i*a/p},programUniforms:A}),getShaderSource:I},{inputs:[t],outputs:[-1]})[0],E=[{type:12,data:_},{type:12,data:u},{type:12,data:Math.floor(a/p)},{type:12,data:Math.floor(h*a/p)}],P=["type","type","type"],O=R=>{let L=U("scale",r.dataType,r.dims,p),N=U("bias",o.dataType,o.dims,p);return`\n @group(0) @binding(0) var input : array<${d}>;\n @group(0) @binding(1) var scale : array<${L.type.storage}>;\n @group(0) @binding(2) var bias : array<${N.type.storage}>;\n @group(0) @binding(3) var output : array<${d}>;\n struct Uniforms {units_of_work : u32, H: u32, C : u32, image_size : u32};\n @group(0) @binding(4) var uniforms: Uniforms;\n\n ${R.mainStart()}\n ${R.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.units_of_work")}\n let currentImageNumber = global_idx / uniforms.C;\n let currentChannelNumber = global_idx % uniforms.C;\n\n let offset = currentImageNumber * uniforms.image_size;\n var sum = ${$t("f32",p)};\n var squaredSum = ${$t("f32",p)};\n for (var i: u32 = 0; i < min(${h}, uniforms.H); i++) {\n let value = input[offset + i + currentChannelNumber * ${h}];\n sum += value[0];\n squaredSum += value[1];\n }\n sum = sum / f32(uniforms.H);\n squaredSum = squaredSum / f32(uniforms.H);\n let invStdDev = inverseSqrt(squaredSum - sum * sum + f32(${c}));\n let channelScale = invStdDev * ${y}(scale[currentChannelNumber]);\n let channelShift = ${y}(bias[currentChannelNumber]) - sum * channelScale;\n\n output[global_idx] = ${w("channelScale","channelShift")};\n }`};return e.compute({name:"InstanceNormComputeChannelScaleShift",shaderCache:{hint:`${p};${c}`,inputDependencies:P},getRunData:()=>({outputs:[{dims:[i,a,2],dataType:1}],dispatchGroup:{x:Math.ceil(_/64)},programUniforms:E}),getShaderSource:O},{inputs:[x,r,o],outputs:[-1]})[0]},ep=(e,t,r)=>{let o=t[0].dims,i=o,u=o[0],a=o[o.length-1],c=M.sizeFromDimension(o,1)/a,p=Me(a),h=M.size(i)/p,d=[{type:12,data:c},{type:12,data:Math.floor(a/p)}],y=["type","type"],w=Jc(e,t[0],t[1],t[2],u,c,a,r.epsilon),_=v=>{let S=De(t[0].dataType),A=p===1?"vec2f":`mat2x${p}f`,I=p===1?S:`vec${p}<${S}>`,x=U("input",t[0].dataType,t[0].dims,p),E=j("output",t[0].dataType,i,p);return`\n @group(0) @binding(0) var input : array<${x.type.storage}>;\n @group(0) @binding(1) var scaleInput : array<${A}>;\n @group(0) @binding(2) var output : array<${E.type.storage}>;\n struct Uniforms {H: u32, C : u32};\n @group(0) @binding(3) var uniforms: Uniforms;\n\n ${v.mainStart()}\n let currentImageNumber = global_idx / (uniforms.C * uniforms.H);\n let currentChannelNumber = global_idx % uniforms.C;\n\n let scaleOffset = currentImageNumber * uniforms.C + currentChannelNumber;\n let scale = scaleInput[scaleOffset];\n output[global_idx] = fma(input[global_idx], ${I}(scale[0]), ${I}(scale[1]));\n }`};e.compute({name:"InstanceNormalizationNHWC",shaderCache:{hint:`${p}`,inputDependencies:y},getRunData:()=>({outputs:[{dims:i,dataType:t[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:d}),getShaderSource:_},{inputs:[t[0],w]})},zu=(e,t)=>{t.format==="NHWC"?ep(e,e.inputs,t):e.compute(Qc(e.inputs,t))}});var tp,rp,Uu,Vu=Y(()=>{"use strict";ye();Se();_e();tp=e=>{if(!e||e.length<2)throw new Error("layerNorm requires at least 2 inputs.")},rp=(e,t,r)=>{let o=t.simplified,i=e[0].dims,u=e[1],a=!o&&e[2],c=i,p=M.normalizeAxis(t.axis,i.length),h=M.sizeToDimension(i,p),d=M.sizeFromDimension(i,p),y=M.size(u.dims),w=a?M.size(a.dims):0;if(y!==d||a&&w!==d)throw new Error(`Size of X.shape()[axis:] == ${d}.\n Size of scale and bias (if provided) must match this.\n Got scale size of ${y} and bias size of ${w}`);let _=[];for(let O=0;O1,x=r>2,E=O=>{let R=De(e[0].dataType),L=[U("x",e[0].dataType,e[0].dims,v),U("scale",u.dataType,u.dims,v)];a&&L.push(U("bias",a.dataType,a.dims,v)),L.push(j("output",e[0].dataType,c,v)),I&&L.push(j("mean_data_output",1,_)),x&&L.push(j("inv_std_output",1,_));let N=[{name:"norm_count",type:"u32"},{name:"norm_size",type:"f32"},{name:"norm_size_vectorized",type:"u32"},{name:"epsilon",type:"f32"}];return`\n ${O.registerUniforms(N).declareVariables(...L)}\n ${O.mainStart()}\n ${O.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.norm_count")}\n let offset = global_idx * uniforms.norm_size_vectorized;\n var mean_vector = ${$t("f32",v)};\n var mean_square_vector = ${$t("f32",v)};\n\n for (var h: u32 = 0u; h < uniforms.norm_size_vectorized; h++) {\n let value = ${ir(R,v,"x[h + offset]")};\n mean_vector += value;\n mean_square_vector += value * value;\n }\n let mean = ${_t("mean_vector",v)} / uniforms.norm_size;\n let inv_std_dev = inverseSqrt(${_t("mean_square_vector",v)} / uniforms.norm_size ${o?"":"- mean * mean"} + uniforms.epsilon);\n\n for (var j: u32 = 0; j < uniforms.norm_size_vectorized; j++) {\n let f32input = ${ir(R,v,"x[j + offset]")};\n let f32scale = ${ir(R,v,"scale[j]")};\n output[j + offset] = ${L[0].type.value}((f32input ${o?"":"- mean"}) * inv_std_dev * f32scale\n ${a?`+ ${ir(R,v,"bias[j]")}`:""}\n );\n }\n\n ${I?"mean_data_output[global_idx] = mean":""};\n ${x?"inv_std_output[global_idx] = inv_std_dev":""};\n }`},P=[{dims:c,dataType:e[0].dataType}];return I&&P.push({dims:_,dataType:1}),x&&P.push({dims:_,dataType:1}),{name:"LayerNormalization",shaderCache:{hint:`${v};${r};${o}`,inputDependencies:S},getRunData:()=>({outputs:P,dispatchGroup:{x:Math.ceil(h/64)},programUniforms:A}),getShaderSource:E}},Uu=(e,t)=>{tp(e.inputs),e.compute(rp(e.inputs,t,e.outputCount))}});var np,op,Wu,Nu,Gu=Y(()=>{"use strict";ye();Se();Ze();_e();np=(e,t)=>{if(e.length<3||e.length>4)throw new Error("MatMulNBits requires 3 or 4 inputs");let r=e[0],o=r.dims.length;if(r.dims[o-1]!==t.k)throw new Error("The last dim of input shape does not match the k value");let i=Math.floor((t.k+t.blockSize-1)/t.blockSize),u=t.blockSize/8*t.bits,a=e[1];if(!M.areEqual(a.dims,[t.n,i,u]))throw new Error("The second inputs must be 3D tensor with shape N X nBlocksPerCol X blobSize");let p=e[2].dims;if(M.size(p)!==t.n*i)throw new Error("scales input size error.");if(e.length===4){let d=e[3].dims,y=t.bits>4?t.n*i:t.n*Math.floor((i+1)/2);if(M.size(d)!==y)throw new Error("zeroPoints input size error.")}},op=(e,t,r,o)=>{let i=e[0].dims,u=i.length,a=Math.floor((t.k+t.blockSize-1)/t.blockSize),c=i[u-2],p=t.k,h=t.n,d=i.slice(0,u-2),y=M.size(d),_=t.blockSize/8*t.bits/4,v=e[0].dataType,S=Me(c),A=Me(t.k),I=Me(_),x=tr(v),E=c*a*x,P=Math.floor(o/E),O=a<=r[0]&&P>0,R=!O||P>=4?Me(h):P>=2&&Me(h)>=2?2:1,L=d.concat([c,h]),N=M.size(L)/R/S,K=O?[]:[{type:12,data:N},{type:12,data:t.blockSize}],Q=[y,c,p/A],he=M.convertShape(e[1].dims).slice();he.splice(-1,1,_/I),K.push(...Z(Q)),K.push(...Z(he)),K.push(...Z(e[2].dims)),e.length===4&&K.push(...Z(M.convertShape(e[3].dims)));let W=[y,c,h/R];K.push(...Z(W));let se=Ce=>{let We=Q.length,ee=U("a",e[0].dataType,We,A),ae=U("b",12,he.length,I),Ae=U("scales",e[2].dataType,e[2].dims.length),me=[ee,ae,Ae],ie=e.length===4?U("zero_points",12,e[3].dims.length):void 0;ie&&me.push(ie);let ue=W.length,le=j("output",e[0].dataType,ue,R),qe=[{name:"output_size",type:"u32"},{name:"block_size",type:"u32"}],G=De(e[0].dataType),ne=(()=>{switch(A){case 1:return`array<${G}, 8>`;case 2:return`mat4x2<${G}>`;case 4:return`mat2x4<${G}>`;default:throw new Error(`${A}-component is not supported.`)}})(),xe=`\n for (var word: u32 = 0; word < ${_}; word += ${I}) {\n ${ae.indicesSet("b_indices","2","word")};\n let b_data = ${ae.getByIndices("b_indices")};\n for (var i: u32 = 0; i < ${I}; i++) {\n let b_value: u32 = ${I===1?"b_data":"b_data[word + i]"};\n let b_mask: u32 = 0x0F0F0F0Fu;\n let b_value_lower: vec4 = unpack4xU8(b_value & b_mask);\n let b_value_upper: vec4 = unpack4xU8((b_value >> 4) & b_mask);\n let b_quantized_values = ${ne}(${Array.from({length:4},(Be,Ge)=>`${G}(b_value_lower[${Ge}]), ${G}(b_value_upper[${Ge}])`).join(", ")});\n let b_dequantized_values = ${(()=>A===1?`${ne}(${Array.from({length:8},(Be,Ge)=>`(b_quantized_values[${Ge}] - zero_point) * scale`).join(", ")});`:`(b_quantized_values - ${ne}(${Array(8).fill("zero_point").join(",")})) * scale;`)()};\n // Number of B elements per 32-bit word is 32/bits = 32/4 = 8\n for (var m: u32 = 0; m < ${O?c:S}u; m++) {\n ${ee.indicesSet("a_indices",We-2,O?"m":`row * ${S} + m`)};\n ${ee.indicesSet("a_indices",We-1,"word_offset")};\n var input_offset = ${ee.indicesToOffset("a_indices")};\n var a_data: ${ne};\n for (var j: u32 = 0; j < ${8/A}; j++) {\n a_data[j] = ${ee.getByOffset("input_offset")};\n input_offset++;\n }\n ${O?"workgroup_shared[workgroup_shared_offset + m]":"output_values[m]"}${R>1?"[c]":""} += ${Array.from({length:8/A},(Be,Ge)=>`${A===1?`a_data[${Ge}] * b_dequantized_values[${Ge}]`:`dot(a_data[${Ge}], b_dequantized_values[${Ge}])`}`).join(" + ")};\n }\n word_offset += ${8/A};\n }\n }`,Ke=ie?`\n zero_point_offset += 4;\n if (zero_point_offset == 32) {\n zero_point_offset = 0;\n zero_point_index++;\n zero_point_word = ${ie.getByOffset("zero_point_index")};\n }`:"";return O?`\n var workgroup_shared: array<${le.type.value}, ${c*a}>;\n ${Ce.declareVariables(...me,le)}\n ${Ce.mainStart([a,1,1])}\n var a_indices: ${ee.type.indices};\n var block = local_id.x;\n var col = workgroup_id.y;\n var batch = workgroup_id.z;\n ${ee.indicesSet("a_indices","0","batch")};\n // Two zero points are packed into one byte when uniforms.bits is 4.\n for (var c: u32 = 0; c < ${R}; c++) {\n let col_times_components_plus_c = col * ${R} + c;\n ${ie?`\n var zero_point_bytes_per_col: u32 = (${a} + 1) / 2;\n var zero_point_byte_count: u32 = col_times_components_plus_c * zero_point_bytes_per_col + (block >> 0x1u);\n var zero_point_word_index: u32 = zero_point_byte_count >> 0x2u;\n var zero_point_byte_offset: u32 = zero_point_byte_count & 0x3u;\n var zero_point_nibble_offset: u32 = block & 0x1u;\n var zero_point_bits_offset: u32 = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2);\n var zero_point_word: u32 = ${ie.getByOffset("zero_point_word_index")} >> zero_point_bits_offset;`:""}\n var b_indices: ${ae.type.indices};\n ${ae.indicesSet("b_indices","0","col_times_components_plus_c")};\n // The scale and zero points are computed per block.\n var scales_index = col_times_components_plus_c * ${a} + block;\n let scale = ${Ae.getByOffset("scales_index")};\n // The default zero point is 8 for unsigned 4-bit quantization.\n let zero_point = ${G}(${ie?"(zero_point_word) & 0xFu":8});\n ${ae.indicesSet("b_indices","1","block")};\n var word_offset: u32 = block * ${t.blockSize/A};\n var workgroup_shared_offset: u32 = block * ${c};\n ${xe}\n }\n workgroupBarrier();\n if (local_id.x == 0u) {\n var output_indices: ${le.type.indices};\n ${le.indicesSet("output_indices","0","batch")};\n ${le.indicesSet("output_indices",ue-1,"col")};\n ${le.indicesSet("output_indices",ue-2,"0")};\n var output_offset = ${le.indicesToOffset("output_indices")};\n for (var m: u32 = 0u; m < ${c}u; m++) {\n var output_value: ${le.type.value} = ${le.type.value}(0);\n var workgroup_shared_offset: u32 = m;\n for (var b: u32 = 0u; b < ${a}u; b++) {\n output_value += workgroup_shared[workgroup_shared_offset];\n workgroup_shared_offset += ${c};\n }\n ${le.setByOffset("output_offset","output_value")};\n output_offset += ${h/R};\n }\n }\n }`:`\n ${Ce.registerUniforms(qe).declareVariables(...me,le)}\n ${Ce.mainStart()}\n ${Ce.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}\n var output_values: array<${le.type.value}, ${S}>;\n var output_indices = ${le.offsetToIndices("global_idx")};\n var col = ${le.indicesGet("output_indices",ue-1)};\n var row = ${le.indicesGet("output_indices",ue-2)};\n var a_indices: ${ee.type.indices} = output_indices;\n // Two zero points are packed into one byte because uniforms.bits <= 4.\n // zero_point_offset is either 0 or 4. It is bit offset within one byte.\n // TODO support zero_point_offset for bits > 4\n ${ie?`\n var zero_point_abs_offset = col * ${R} * ((${a} + 1) / 2);\n var zero_point_index: u32 = zero_point_abs_offset / 4;\n var zero_point_word: u32 = ${ie.getByOffset("zero_point_index")};\n var zero_point_offset: u32 = (zero_point_abs_offset % 4) * 8;`:""}\n var scale_index = col * ${a*R};\n var b_indices: ${ae.type.indices};\n for (var c: u32 = 0; c < ${R}; c++) {\n ${ae.indicesSet("b_indices","0",`col * ${R} + c`)};\n var block_offset: u32 = 0;\n for (var block: u32 = 0; block < ${a}; block++) {\n // The scale and zero points are computed per block.\n let scale = ${Ae.getByOffset("scale_index")};\n // The default zero point is 8 for unsigned 4-bit quantization.\n let zero_point = ${G}(${ie?"extractBits(zero_point_word, zero_point_offset, 4)":8});\n ${ae.indicesSet("b_indices","1","block")};\n var word_offset: u32 = block_offset;\n ${xe}\n scale_index++;\n ${Ke}\n block_offset += uniforms.block_size / ${A};\n }\n // Drop the trailing 4 bits if the zero_poit_offset is not a byte boundary to align with the next byte.\n ${ie?`if (zero_point_offset % 8 > 0) {\n ${Ke}\n }`:""}\n }\n for (var k: u32 = 0u; k < ${S}u; k++) {\n ${le.indicesSet("output_indices",ue-2,`${S} * row + k`)};\n ${le.setByIndices("output_indices","output_values[k]")}\n }\n }`};return{name:O?"BlockwiseMatMulNBits":"MatMulNBits",shaderCache:{hint:`${t.cacheKey};${c};${v};${e.length}`,inputDependencies:Array(e.length).fill("rank")},getRunData:()=>({outputs:[{dims:L,dataType:v}],name:O?"BlockwiseMatMulNBits":"MatMulNBits",dispatchGroup:O?{x:1,y:Math.ceil(h/R),z:y}:{x:Math.ceil(N/64)},programUniforms:K}),getShaderSource:se}},Wu=(e,t)=>{np(e.inputs,t);let r=e.getMaxComputeWorkgroupSizes(),o=e.getMaxComputeWorkgroupStoragesize();e.compute(op(e.inputs,t,r,o))},Nu=e=>ve(e)});var it,ip,Lu,Hu,ap,Ko,Fu,qu=Y(()=>{"use strict";ye();Se();Ze();_n();Ro();_e();Sr();it=(e,t)=>e.length>t&&e[t].dims.length>0&&M.size(e[t].dims)>0?e[t]:void 0,ip=(e,t)=>{let r=e[0],o=it(e,1),i=it(e,2),u=it(e,3),a=it(e,4),c=it(e,5),p=it(e,6),h=it(e,7);if(r.dims.length!==3&&r.dims.length!==5)throw new Error("Input query is expected to have 3 or 5 dimensions");let d=!1,y=r.dims[0],w=r.dims[1],_=r.dims.length===3?d?r.dims[2]/3:r.dims[2]:t.numHeads*r.dims[4],v=w,S=0,A=0,I=Math.floor(_/t.numHeads);if(p&&h){if(p.dims.length!==4)throw new Error(\'Input "past_key" is expected to have 4 dimensions\');if(p.dims[0]!==y||p.dims[1]!==t.numHeads||p.dims[3]!==I)throw new Error(\'Input "past_key" shape (batch_size, num_heads, past_sequence_length, head_size)\');if(h.dims[0]!==y||h.dims[1]!==t.numHeads||h.dims[3]!==I)throw new Error(\'Input "past_value" shape (batch_size, num_heads, past_sequence_length, head_size)\');if(p.dims[2]!==h.dims[2])throw new Error(\'Input "past_key" and "past_value" shall have same dim 2 (past_sequence_length)\');if(h.dims.length!==4)throw new Error(\'Input "past_value" is expected to have 4 dimensions\');S=p.dims[2],A=p.dims[2]}else if(p||h)throw new Error(\'Input "past_key" and "past_value" shall be both present or both absent\');let x;if(o){if(r.dims.length!==3)throw new Error(\'Input "query" is expected to have 3 dimensions when key is given\');if(o.dims.length<3||o.dims.length>5)throw new Error(\'Input "key" is expected to have 3, 4, or 5 dimensions\');if(r.dims[0]!==o.dims[0])throw new Error(\'Input "query" and "key" shall have same dim 0 (batch size)\');if(o.dims.length===3){if(o.dims[2]!==r.dims[2])throw new Error(\'Input "query" and "key" shall have same dim 2 (hidden_size)\');x=2,v=o.dims[1]}else if(o.dims.length===5){if(o.dims[2]!==t.numHeads||o.dims[3]!==2||o.dims[4]!==I)throw new Error(\'Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv\');if(i)throw new Error(\'Expect "value" be none when "key" has packed kv format.\');x=5,v=o.dims[1]}else{if(o.dims[1]!==t.numHeads||o.dims[3]!==I)throw new Error(\'Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key\');x=0,v=o.dims[2]}}else{if(r.dims.length!==3&&r.dims.length!==5)throw new Error(\'Input "query" is expected to have 3 or 5 dimensions when key is empty\');if(r.dims.length===5&&(r.dims[2]!==t.numHeads||r.dims[3]!==3))throw new Error(\'Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv\');x=3}if(u){if(u.dims.length!==1)throw new Error(\'Input "bias" is expected to have 1 dimension\');if(i&&r.dims.length===5&&r.dims[3]===2)throw new Error("bias is not allowed for packed kv.")}let E=0;if(a){E=8;let N=a.dims;throw N.length===1?N[0]===y?E=1:N[0]===3*y+2&&(E=3):N.length===2&&N[0]===y&&N[1]===v&&(E=5),E===8?new Error(\'Input "key_padding_mask" shape shall be (batch_size) or (batch_size, kv_sequence_length)\'):new Error("Mask not supported")}let P=!1,O=_;if(i){if(i.dims.length!==3&&i.dims.length!==4)throw new Error(\'Input "value" is expected to have 3 or 4 dimensions\');if(r.dims[0]!==i.dims[0])throw new Error(\'Input "query" and "value" shall have same dim 0 (batch_size)\');if(i.dims.length===3){if(v!==i.dims[1])throw new Error(\'Input "key" and "value" shall have the same dim 1 (kv_sequence_length)\');O=i.dims[2]}else{if(v!==i.dims[2])throw new Error(\'Input "past_key" and "past_value" shall have the same dim 2 (kv_sequence_length)\');O=i.dims[1]*i.dims[3],P=!0}}let R=S+v,L=!1;if(a)throw new Error("Key padding mask is not supported");if(c){if(c.dims.length!==4)throw new Error(\'Input "relative_position_bias" is expected to have 4 dimensions\');if(c.dims[0]!==y&&c.dims[0]!==1||c.dims[1]!==t.numHeads||c.dims[2]!==w||c.dims[3]!==R)throw new Error(\'Input "relative_position_bias" shape (batch_size, 1, sequence_length, kv_sequence_length)\')}return{batchSize:y,sequenceLength:w,pastSequenceLength:S,kvSequenceLength:v,totalSequenceLength:R,maxSequenceLength:A,inputHiddenSize:0,hiddenSize:_,vHiddenSize:O,headSize:I,vHeadSize:Math.floor(O/t.numHeads),numHeads:t.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:t.maskFilterValue,maskType:E,scale:t.scale,broadcastResPosBias:L,passPastInKv:P,qkvFormat:x}},Lu=e=>ve({...e}),Hu=ve({perm:[0,2,1,3]}),ap=(e,t,r,o,i,u,a)=>{let c=[o,i,u],p=M.size(c),h=[{type:12,data:p},{type:12,data:a},{type:12,data:u}],d=y=>{let w=j("qkv_with_bias",t.dataType,c),_=U("qkv",t.dataType,c),v=U("bias",r.dataType,c),S=[{name:"output_size",type:"u32"},{name:"bias_offset",type:"u32"},{name:"hidden_size",type:"u32"}];return`\n ${y.registerUniforms(S).declareVariables(_,v,w)}\n ${y.mainStart()}\n ${y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}\n let bias_offset_idx = (global_idx % uniforms.hidden_size) + uniforms.bias_offset;\n\n qkv_with_bias[global_idx] = qkv[global_idx] + bias[bias_offset_idx];\n }`};return e.compute({name:"MultiHeadAttentionAddBias",shaderCache:{inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:c,dataType:t.dataType,gpuDataType:0}],dispatchGroup:{x:Math.ceil(p/64)},programUniforms:h}),getShaderSource:d},{inputs:[t,r],outputs:[-1]})[0]},Ko=(e,t,r,o,i,u,a,c)=>{let p=u;if(a){if(o===1)throw new Error("AddBiasReshape is not implemented. Please export your model with packed QKV or KV");return p=ap(e,u,a,t,o,r*i,c),p=p.reshape([t,o,r,i]),e.compute(yt(p,Hu.perm),{inputs:[p],outputs:[-1]})[0]}else return u.dims.length===3&&(p=u.reshape([t,o,r,i])),e.compute(yt(p,Hu.perm),{inputs:[p],outputs:[-1]})[0]},Fu=(e,t)=>{let r=ip(e.inputs,t),o=e.inputs[0],i=it(e.inputs,1),u=it(e.inputs,2),a=it(e.inputs,3),c=it(e.inputs,4),p=it(e.inputs,5),h=it(e.inputs,6),d=it(e.inputs,7);if(o.dims.length===5)throw new Error("Packed QKV is not implemented");if(i?.dims.length===5)throw new Error("Packed KV is not implemented");let y=i&&u&&i.dims.length===4&&u.dims.length===4,w=Ko(e,r.batchSize,r.numHeads,r.sequenceLength,r.headSize,o,a,0);if(y)return Pn(e,w,i,u,c,void 0,h,d,p,r,t);if(!i||!u)throw new Error("key and value must be provided");let _=Ko(e,r.batchSize,r.numHeads,r.kvSequenceLength,r.headSize,i,a,r.hiddenSize),v=Ko(e,r.batchSize,r.numHeads,r.kvSequenceLength,r.vHeadSize,u,a,2*r.hiddenSize);Pn(e,w,_,v,c,void 0,h,d,p,r,t)}});var sp,up,dp,lp,cp,pp,mp,fp,ju,Ku=Y(()=>{"use strict";ye();Se();_e();sp=e=>{if(!e||e.length<1)throw new Error("Too few inputs");if(e[0].dataType!==1&&e[0].dataType!==10)throw new Error("Input type must be float or float16.");if(e.length>=2){let t=e[0].dims.length*2===e[1].dims[0];if(e.length===4&&(t=e[3].dims[0]*2===e[1].dims[0]),!t)throw new Error("The pads should be a 1D tensor of shape [2 * input_rank] or [2 * num_axes].")}},up=(e,t,r)=>{let o="";for(let i=t-1;i>=0;--i)o+=`\n k = i32(${e.indicesGet("indices",i)}) - ${fe("uniforms.pads",i,r)};\n if (k < 0) {\n break;\n }\n if (k >= i32(${fe("uniforms.x_shape",i,t)})) {\n break;\n }\n offset += k * i32(${fe("uniforms.x_strides",i,t)});\n `;return`\n value = ${e.type.value}(uniforms.constant_value);\n for (var i = 0; i < 1; i++) {\n var offset = 0;\n var k = 0;\n ${o}\n value = x[offset];\n }\n `},dp=(e,t,r)=>{let o="";for(let i=t-1;i>=0;--i)o+=`\n k = i32(${e.indicesGet("indices",i)}) - ${fe("uniforms.pads",i,r)};\n if (k < 0) {\n k = -k;\n }\n {\n let _2n_1 = 2 * (i32(${fe("uniforms.x_shape",i,t)}) - 1);\n k = k % _2n_1;\n if(k >= i32(${fe("uniforms.x_shape",i,t)})) {\n k = _2n_1 - k;\n }\n }\n offset += k * i32(${fe("uniforms.x_strides",i,t)});\n `;return`\n var offset = 0;\n var k = 0;\n ${o}\n value = x[offset];\n `},lp=(e,t,r)=>{let o="";for(let i=t-1;i>=0;--i)o+=`\n k = i32(${e.indicesGet("indices",i)}) - ${fe("uniforms.pads",i,r)};\n if (k < 0) {\n k = 0;\n }\n if (k >= i32(${fe("uniforms.x_shape",i,t)})) {\n k = i32(${fe("uniforms.x_shape",i,t)}) - 1;\n }\n offset += k * i32(${fe("uniforms.x_strides",i,t)});\n `;return`\n var offset = 0;\n var k = 0;\n ${o}\n value = x[offset];\n `},cp=(e,t,r)=>{let o="";for(let i=t-1;i>=0;--i)o+=`\n k = i32(${e.indicesGet("indices",i)}) - ${fe("uniforms.pads",i,r)};\n if (k < 0) {\n k += i32(${fe("uniforms.x_shape",i,t)}]);\n }\n if (k >= i32(${fe("uniforms.x_shape",i,t)})) {\n k -= i32(${fe("uniforms.x_shape",i,t)});\n }\n offset += k * i32(${fe("uniforms.x_strides",i,t)});\n `;return`\n var offset = 0;\n var k = 0;\n ${o}\n value = x[offset];\n `},pp=(e,t,r)=>{switch(r.mode){case 0:return up(e,t,r.pads.length);case 1:return dp(e,t,r.pads.length);case 2:return lp(e,t,r.pads.length);case 3:return cp(e,t,r.pads.length);default:throw new Error("Invalid mode")}},mp=(e,t)=>{let r=M.padShape(e[0].dims.slice(),t.pads),o=e[0].dims,i=M.size(r),u=[{type:12,data:i},{type:6,data:t.pads}];t.mode===0&&u.push({type:e[0].dataType,data:t.value}),u.push(...Z(e[0].dims,r));let a=["rank"],c=p=>{let h=j("output",e[0].dataType,r.length),d=U("x",e[0].dataType,o.length),y=d.type.value,w=pp(h,o.length,t),_=[{name:"output_size",type:"u32"},{name:"pads",type:"i32",length:t.pads.length}];return t.mode===0&&_.push({name:"constant_value",type:y}),`\n ${p.registerUniforms(_).declareVariables(d,h)}\n ${p.mainStart()}\n ${p.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}\n\n let indices = ${h.offsetToIndices("global_idx")};\n\n var value = ${y}(0);\n ${w}\n output[global_idx] = value;\n }`};return{name:"Pad",shaderCache:{hint:`${t.mode}`,inputDependencies:a},getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(M.size(r)/64)},programUniforms:u}),getShaderSource:c}},fp=(e,t)=>{if(e.length>1){let r=e[1].getBigInt64Array(),o=e.length>=3&&e[2].data?e[2].getFloat32Array()[0]:0,i=e[0].dims.length,u=new Int32Array(2*i).fill(0);if(e.length>=4){let c=e[3].getBigInt64Array();for(let p=0;pu[Number(p)]=Number(c));let a=[];return u.forEach(c=>a.push(c)),{mode:t.mode,value:o,pads:a}}else return t},ju=(e,t)=>{sp(e.inputs);let r=fp(e.inputs,t);e.compute(mp(e.inputs,r),{inputs:[0]})}});var Nn,Yu,Zu,Xu,Qu,hp,gp,Ju,ed,td,rd,nd,od,id,ad,sd,ud,dd,ld,cd=Y(()=>{"use strict";$r();ye();Se();_e();Nn=e=>{if(vr.webgpu.validateInputContent&&(!e||e.length!==1))throw new Error("Pool ops requires 1 input.")},Yu=(e,t,r)=>{let o=t.format==="NHWC",i=e.dims.slice();o&&i.splice(1,0,i.pop());let u=Object.hasOwnProperty.call(t,"dilations"),a=t.kernelShape.slice(),c=t.strides.slice(),p=u?t.dilations.slice():[],h=t.pads.slice();nr.adjustPoolAttributes(r,i,a,c,p,h);let d=nr.computePoolOutputShape(r,i,c,p,a,h,t.autoPad),y=Object.assign({},t);u?Object.assign(y,{kernelShape:a,strides:c,pads:h,dilations:p,cacheKey:t.cacheKey}):Object.assign(y,{kernelShape:a,strides:c,pads:h,cacheKey:t.cacheKey});let w=d.slice();return w.push(w.splice(1,1)[0]),[y,o?w:d]},Zu=(e,t)=>{let r=t.format==="NHWC",o=M.size(e),i=M.size(t.kernelShape),u=[{type:12,data:o},{type:12,data:i}],a=[{name:"outputSize",type:"u32"},{name:"kernelSize",type:"u32"}];if(t.kernelShape.length<=2){let c=t.kernelShape[t.kernelShape.length-1],p=t.strides[t.strides.length-1],h=t.pads[t.pads.length/2-1],d=t.pads[t.pads.length-1],y=!!(h+d);u.push({type:12,data:c},{type:12,data:p},{type:12,data:h},{type:12,data:d}),a.push({name:"kw",type:"u32"},{name:"sw",type:"u32"},{name:"pwStart",type:"u32"},{name:"pwEnd",type:"u32"});let w=!1;if(t.kernelShape.length===2){let _=t.kernelShape[t.kernelShape.length-2],v=t.strides[t.strides.length-2],S=t.pads[t.pads.length/2-2],A=t.pads[t.pads.length-2];w=!!(S+A),u.push({type:12,data:_},{type:12,data:v},{type:12,data:S},{type:12,data:A}),a.push({name:"kh",type:"u32"},{name:"sh",type:"u32"},{name:"phStart",type:"u32"},{name:"phEnd",type:"u32"})}return[u,a,!0,y,w]}else{if(r)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let c=M.computeStrides(t.kernelShape);u.push({type:12,data:c},{type:12,data:t.pads},{type:12,data:t.strides}),a.push({name:"kernelStrides",type:"u32",length:c.length},{name:"pads",type:"u32",length:t.pads.length},{name:"strides",type:"u32",length:t.strides.length});let p=t.pads.reduce((h,d)=>h+d);return[u,a,!!p,!1,!1]}},Xu=(e,t,r,o,i,u,a,c,p,h,d,y)=>{let w=i.format==="NHWC",_=t.type.value,v=j("output",t.type.tensor,o);if(i.kernelShape.length<=2){let S="",A="",I="",x=r-(w?2:1);if(d?S=`\n for (var i: u32 = 0u; i < uniforms.kw; i++) {\n xIndices[${x}] = indices[${x}] * uniforms.sw - uniforms.pwStart + i;\n if (xIndices[${x}] < 0 || xIndices[${x}]\n >= uniforms.x_shape[${x}]) {\n pad++;\n continue;\n }\n let x_val = x[${t.indicesToOffset("xIndices")}];\n ${u}\n }`:S=`\n for (var i: u32 = 0u; i < uniforms.kw; i++) {\n xIndices[${x}] = indices[${x}] * uniforms.sw - uniforms.pwStart + i;\n let x_val = x[${t.indicesToOffset("xIndices")}];\n ${u}\n }`,i.kernelShape.length===2){let P=r-(w?3:2);y?A=`\n for (var j: u32 = 0u; j < uniforms.kh; j++) {\n xIndices[${P}] = indices[${P}] * uniforms.sh - uniforms.phStart + j;\n if (xIndices[${P}] < 0 || xIndices[${P}] >= uniforms.x_shape[${P}]) {\n pad += i32(uniforms.kw);\n continue;\n }\n `:A=`\n for (var j: u32 = 0u; j < uniforms.kh; j++) {\n xIndices[${P}] = indices[${P}] * uniforms.sh - uniforms.phStart + j;\n `,I=`\n }\n `}return`\n ${e.registerUniforms(p).declareVariables(t,v)}\n\n ${e.mainStart()}\n ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}\n\n let indices = ${v.offsetToIndices("global_idx")};\n var xIndices = ${v.offsetToIndices("global_idx")};\n\n var value = ${_}(${c});\n var pad = 0;\n ${A}\n ${S}\n ${I}\n ${a}\n\n output[global_idx] = value;\n }`}else{if(w)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let S=i.kernelShape.length,A=i.pads.length,I="";return h?I=`\n if (xIndices[j] >= uniforms.x_shape[j]) {\n pad++;\n isPad = true;\n break;\n }\n }\n if (!isPad) {\n let x_val = x[${t.indicesToOffset("xIndices")}];\n ${u}\n }`:I=`\n }\n let x_val = x[${t.indicesToOffset("xIndices")}];\n ${u}\n `,`\n ${e.registerUniforms(p).declareVariables(t,v)}\n\n ${e.mainStart()}\n ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}\n let indices = ${v.offsetToIndices("global_idx")};\n var xIndices = ${v.offsetToIndices("global_idx")};\n\n var offsets: array;\n\n var value = ${_}(${c});\n var pad = 0;\n var isPad = false;\n\n for (var i: u32 = 0u; i < uniforms.kernelSize; i++) {\n var offset = i;\n for (var j = 0u; j < ${S-1}u; j++) {\n offsets[j] = offset / ${fe("uniforms.kernelStrides","j",S)};\n offset -= offsets[j] * ${fe("uniforms.kernelStrides","j",S)};\n }\n offsets[${S-1}] = offset;\n\n isPad = false;\n for (var j = ${r-S}u; j < ${r}u; j++) {\n xIndices[j] = indices[j] * ${fe("uniforms.strides",`j - ${r-S}u`,S)}\n + offsets[j - ${r-S}u] - ${fe("uniforms.pads","j - 2u",A)};\n ${I}\n }\n ${a}\n\n output[global_idx] = value;\n }`}},Qu=e=>`${e.format};${e.ceilMode};${e.autoPad};${e.kernelShape.length}`,hp=e=>`${Qu(e)};${e.countIncludePad}`,gp=e=>`${Qu(e)};${e.storageOrder};${e.dilations}`,Ju=e=>({format:e.format,autoPad:["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][e.auto_pad],ceilMode:e.ceil_mode,kernelShape:e.kernel_shape,strides:e.strides,pads:e.pads}),ed=(e,t,r,o)=>{let[i,u]=Yu(t,o,r),a=U("x",t.dataType,t.dims.length),c=a.type.value,p="value += x_val;",h="";i.countIncludePad?h+=`value /= ${c}(uniforms.kernelSize);`:h+=`value /= ${c}(i32(uniforms.kernelSize) - pad);`;let[d,y,w,_,v]=Zu(u,i);d.push(...Z(t.dims,u));let S=["rank"];return{name:e,shaderCache:{hint:`${o.cacheKey};${w};${_};${v}`,inputDependencies:S},getRunData:()=>({outputs:[{dims:u,dataType:t.dataType}],dispatchGroup:{x:Math.ceil(M.size(u)/64)},programUniforms:d}),getShaderSource:A=>Xu(A,a,t.dims.length,u.length,i,p,h,0,y,w,_,v)}},td=e=>{let t=e.count_include_pad!==0,r=Ju(e);if(r.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");let o={countIncludePad:t,...r,cacheKey:""};return{...o,cacheKey:hp(o)}},rd=(e,t)=>{Nn(e.inputs),e.compute(ed("AveragePool",e.inputs[0],!1,t))},nd={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[]},od=e=>{let t=e.format;return{format:t,...nd,cacheKey:t}},id=(e,t)=>{Nn(e.inputs),e.compute(ed("GlobalAveragePool",e.inputs[0],!0,t))},ad=(e,t,r,o)=>{let[i,u]=Yu(t,o,r),a=`\n value = max(x_val, value);\n `,c="",p=U("x",t.dataType,t.dims.length),h=["rank"],[d,y,w,_,v]=Zu(u,i);return d.push(...Z(t.dims,u)),{name:e,shaderCache:{hint:`${o.cacheKey};${w};${_};${v}`,inputDependencies:h},getRunData:()=>({outputs:[{dims:u,dataType:t.dataType}],dispatchGroup:{x:Math.ceil(M.size(u)/64)},programUniforms:d}),getShaderSource:S=>Xu(S,p,t.dims.length,u.length,i,a,c,t.dataType===10?-65504:-1e5,y,w,_,v)}},sd=(e,t)=>{Nn(e.inputs),e.compute(ad("MaxPool",e.inputs[0],!1,t))},ud=e=>{let t=e.storage_order,r=e.dilations,o=Ju(e);if(t!==0)throw new Error("column major storage order is not yet supported for MaxPool");if(o.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for MaxPool");let i={storageOrder:t,dilations:r,...o,cacheKey:""};return{...i,cacheKey:gp(i)}},dd=e=>{let t=e.format;return{format:t,...nd,cacheKey:t}},ld=(e,t)=>{Nn(e.inputs),e.compute(ad("GlobalMaxPool",e.inputs[0],!0,t))}});var bp,wp,pd,md=Y(()=>{"use strict";$r();ye();_e();bp=(e,t,r)=>{let o=e===t,i=et&&r>0;if(o||i||u)throw new Error("Range these inputs\' contents are invalid.")},wp=(e,t,r,o)=>{let i=Math.abs(Math.ceil((t-e)/r)),u=[i],a=i,c=[{type:12,data:a},{type:o,data:e},{type:o,data:r},...Z(u)],p=h=>{let d=j("output",o,u.length),y=d.type.value,w=[{name:"outputSize",type:"u32"},{name:"start",type:y},{name:"delta",type:y}];return`\n ${h.registerUniforms(w).declareVariables(d)}\n ${h.mainStart()}\n ${h.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}\n output[global_idx] = uniforms.start + ${y}(global_idx) * uniforms.delta;\n }`};return{name:"Range",shaderCache:{hint:`${o}`},getShaderSource:p,getRunData:()=>({outputs:[{dims:u,dataType:o}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:c})}},pd=e=>{let t=0,r=0,o=0;e.inputs[0].dataType===6?(t=e.inputs[0].getInt32Array()[0],r=e.inputs[1].getInt32Array()[0],o=e.inputs[2].getInt32Array()[0]):e.inputs[0].dataType===1&&(t=e.inputs[0].getFloat32Array()[0],r=e.inputs[1].getFloat32Array()[0],o=e.inputs[2].getFloat32Array()[0]),vr.webgpu.validateInputContent&&bp(t,r,o),e.compute(wp(t,r,o,e.inputs[0].dataType),{inputs:[]})}});var vp,$p,_p,Sp,xp,Cp,Ap,Ip,Tp,Ep,Pp,fd,kp,Op,Rp,Bp,Dp,hd,gd,yd=Y(()=>{"use strict";ye();Se();Ze();_e();vp=(e,t)=>{if(e.every(r=>r>0||(()=>{throw new Error("Resize requires scales input values to be positive")})),e.length>0){if(t.mode==="linear"){if(!(e.length===2||e.length===3||e.length===4&&e[0]===1&&e[1]===1||e.length===4&&e[0]===1&&e[3]===1||e.length===5&&e[0]===1&&e[1]===1))throw new Error(`For linear mode, Resize requires scales to be 2D, 3D, 4D with either two outermost or one innermost and\n one outermost scale values equal to 1, or 5D with two outermost scale values equal to 1`)}else if(t.mode==="cubic"&&!(e.length===2||e.length===4&&e[0]===1&&e[1]===1||e.length===4&&e[0]===1&&e[3]===1))throw new Error("Resize requires scales input size to be 2 or 4 for cubic mode")}},$p=(e,t,r)=>{t.every(i=>i>=0&&i{throw new Error("Resize requires axes input values to be positive and less than rank")}));let o=new Array(r).fill(1);return t.forEach((i,u)=>o[i]=e[u]),o},_p=(e,t,r,o,i,u)=>{let[a,c,p]=r>10?[1,2,3]:[-1,e.length>1?1:-1,-1],h=e[0].dims.length;if(a>0&&e.length>a&&e[a].dims.length>0)e[a].getFloat32Array().forEach(d=>u.push(d));else if(t.coordinateTransformMode==="tf_crop_and_resize")throw new Error("Resize requires RoI input to be specified when coordinateTransformMode is tfCropAndResize");if(c>0&&e.length>c&&e[c].dims.length>0){if(e[c].getFloat32Array().forEach(d=>o.push(d)),o.length!==0&&o.length!==h&&r>=18&&o.length!==t.axes.length)throw new Error("Resize requires scales input size to be same as input rank or axes size for opset 18 and up");vp(o,t),t.axes.length>0&&$p(o,t.axes,h).forEach((d,y)=>o[y]=d)}if(p>0&&e.length>p&&(e[p].getBigInt64Array().forEach(d=>i.push(Number(d))),i.length!==h||r>=18&&i.length===t.axes.length))throw new Error("Resize requires sizes input size to be same as input rank or axes size for opset 18 and up");if(t.axes.length>0){if(o.length!==t.axes.length)throw new Error(\'Resize requires "scales" input size to be of axes rank when axes attributes is specified\');if(i.length!==t.axes.length)throw new Error(\'Resize requires "sizes" input size to be of rank axes rank when axes attributes is specified\')}if(typeof o<"u"&&typeof i<"u"&&o.length>0&&i.length>h)throw new Error("Resize requires only of scales or sizes to be specified")},Sp=(e,t)=>`fn getOriginalCoordinateFromResizedCoordinate(xResized: u32, xScale: f32, lengthResized: u32,\n lengthOriginal: u32, roiStart: f32, roiEnd: f32) -> ${t} { `+(()=>{switch(e){case"asymmetric":return`return ${t}(xResized) / ${t}(xScale);`;case"pytorch_half_pixel":return`if (lengthResized > 1) {\n return (${t}(xResized) + 0.5) / ${t}(xScale) - 0.5;\n } else {\n return 0.0;\n }`;case"tf_half_pixel_for_nn":return`return (${t}(xResized) + 0.5) / ${t}(xScale);`;case"align_corners":return`if (lengthResized == 1) {\n return 0.0;\n } else {\n // The whole part and the fractional part are calculated separately due to inaccuracy of floating\n // point division. As an example, f32(21) / f32(7) may evaluate to 2.99... instead of 3, causing an\n // offset-by-one error later in floor().\n let whole = ${t}(xResized * (lengthOriginal - 1) / (lengthResized - 1));\n let fract =\n ${t}(xResized * (lengthOriginal - 1) % (lengthResized - 1)) / ${t}(lengthResized - 1);\n return whole + fract;\n }`;case"tf_crop_and_resize":return`if (lengthResized > 1) {\n return ${t}(roiStart) * ${t}(lengthOriginal - 1) +\n (${t}(xResized) * ${t}(roiEnd - roiStart) * ${t}(lengthOriginal - 1)) /\n ${t}(lengthResized - 1);\n } else {\n return 0.5 * ${t}(roiStart + roiEnd) * ${t}(lengthOriginal - 1);\n }`;case"half_pixel_symmetric":return`const outputWidth = ${t}xScale * ${t}(lengthResized);\n const adjustment = ${t}(lengthResized) / outputWidth;\n const center = ${t}(lengthOriginal) / 2;\n const offset = center * (1 - adjustment);\n return offset + ((${t}(xResized) + 0.5) / ${t}(xScale)) - 0.5;`;case"half_pixel":return`return ((${t}(xResized) + 0.5) / ${t}(xScale)) - 0.5;`;default:throw new Error(`Coordinate transform mode ${e} is not supported`)}})()+"}",xp=(e,t,r)=>`fn getNearestPixelFromOriginal(xOriginal: ${r}, isDownSample: bool) -> ${r} {`+(()=>{switch(e){case"round_prefer_ceil":return"if (fract(xOriginal) == 0.5) { return ceil(xOriginal); } else { return round(xOriginal); }";case"floor":return"return floor(xOriginal);";case"ceil":return"return ceil(xOriginal);";case"round_prefer_floor":return"if (fract(xOriginal) == 0.5) { return floor(xOriginal); } else { return round(xOriginal); }";case"simple":default:if(t<11)return"if (isDownSample) { return ceil(xOriginal); } else { return xOriginal; }";throw new Error(`Nearest mode ${e} is not supported`)}})()+"}",Cp=(e,t,r)=>{let o=new Array(r).fill(0).concat(new Array(r).fill(1)),i=e.length===0?o:e.slice();return t.length>0?(t.forEach((u,a)=>{o[u]=i[a],o[a+r]=i[t.length+a]}),o):i},Ap=(e,t,r,o)=>{let i=[];if(r.length>0)if(o.length>0){if(e.forEach(u=>i.push(u)),Math.max(...o)>e.length)throw new Error("axes is out of bound");o.forEach((u,a)=>i[u]=r[a])}else r.forEach(u=>i.push(u));else{if(t.length===0)throw new Error("Resize requires either scales or sizes.");i=e.map((u,a)=>Math.round(u*t[a]))}return i},Ip=(e,t,r)=>{let o=(()=>{switch(r.keepAspectRatioPolicy){case"not_larger":return r.axes.length>0?Math.min(...r.axes.map(u=>t[u]),Number.MAX_VALUE):Math.min(...t,Number.MAX_VALUE);case"not_smaller":return r.axes.length>0?Math.max(...r.axes.map(u=>t[u]),Number.MIN_VALUE):Math.max(...t,Number.MIN_VALUE);default:throw new Error(`Keep aspect ratio policy ${r.keepAspectRatioPolicy} is not supported`)}})();t.fill(1,0,t.length);let i=e.slice();return r.axes.length>0?(r.axes.forEach(u=>t[u]=o),r.axes.forEach(u=>i[u]=Math.round(e[u]*t[u]))):(t.fill(o,0,t.length),i.forEach((u,a)=>i[a]=Math.round(u*t[a]))),i},Tp=(e,t,r,o,i)=>`\n fn calculateOriginalIndicesFromOutputIndices(output_indices: ${e.type.indices}) -> array<${e.type.value}, ${r.length}> {\n var original_indices: array<${e.type.value}, ${r.length}>;\n for (var i:u32 = 0; i < ${r.length}; i++) {\n var output_index = ${e.indicesGet("output_indices","i")};\n var scale = ${fe("uniforms.scales","i",o)};\n var roi_low = ${fe("uniforms.roi","i",i)};\n var roi_hi = ${fe("uniforms.roi",`i + ${t.length}`,i)};\n if (scale == 1.0) {\n original_indices[i] = ${e.type.value}(output_index);\n } else {\n var input_shape_i = ${fe("uniforms.input_shape","i",t.length)};\n var output_shape_i = ${fe("uniforms.output_shape","i",r.length)};\n original_indices[i] = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,\n input_shape_i, roi_low, roi_hi);\n }\n }\n return original_indices;\n }`,Ep=(e,t,r,o,i,u,a)=>`\n fn calculateInputIndicesFromOutputIndices(output_indices: ${t.type.indices}) -> ${e.type.indices} {\n var input_indices: ${e.type.indices};\n for (var i:u32 = 0; i < ${o.length}; i++) {\n var output_index = ${t.indicesGet("output_indices","i")};\n var input_index: u32;\n var scale = ${fe("uniforms.scales","i",i)};\n if (scale == 1.0) {\n input_index = output_index;\n } else {\n var roi_low = ${fe("uniforms.roi","i",u)};\n var roi_hi = ${fe("uniforms.roi",`i + ${r.length}`,u)};\n var input_shape_i = ${fe("uniforms.input_shape","i",r.length)};\n var output_shape_i = ${fe("uniforms.output_shape","i",o.length)};\n var original_idx = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,\n input_shape_i, roi_low, roi_hi);\n if (!${a} || (original_idx >= 0 && original_idx < ${t.type.value}(input_shape_i))) {\n if (original_idx < 0) {\n input_index = 0;\n } else if (original_idx > ${t.type.value}(input_shape_i - 1)) {\n input_index = input_shape_i - 1;\n } else {\n input_index = u32(getNearestPixelFromOriginal(original_idx, scale < 1));\n }\n } else {\n input_index = u32(original_idx);\n }\n }\n ${e.indicesSet("input_indices","i"," input_index")}\n }\n return input_indices;\n }`,Pp=(e,t)=>`\n fn checkInputIndices(input_indices: ${e.type.indices}) -> bool {\n for (var i:u32 = 0; i < ${t.length}; i++) {\n var input_index = ${e.indicesGet("input_indices","i")};\n if (input_index < 0 || input_index >= ${fe("uniforms.input_shape","i",t.length)}) {\n return false;\n }\n }\n return true;\n }`,fd=(e,t,r,o)=>e.rank>o?`\n ${e.indicesSet("input_indices",t,"channel")};\n ${e.indicesSet("input_indices",r,"batch")};\n`:"",kp=(e,t,r,o,i)=>{let[a,c,p,h]=r.length===2?[-1,0,1,-1]:[0,2,3,1],d=e.type.value;return`\n fn getInputValue(batch: u32, channel: u32, row: u32, col: u32) -> ${d} {\n var input_indices: ${e.type.indices};\n ${e.indicesSet("input_indices",c,`max(0, min(row, ${r[c]} - 1))`)};\n ${e.indicesSet("input_indices",p,`max(0, min(col, ${r[p]} - 1))`)};\n ${fd(e,h,a,2)}\n return ${e.getByIndices("input_indices")};\n }\n\n fn bilinearInterpolation(output_indices: ${t.type.indices}) -> ${d} {\n var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);\n var row:${d} = originalIndices[${c}];\n var col:${d} = originalIndices[${p}];\n ${o?`if (row < 0 || row > (${r[c]} - 1) || col < 0 || col > (${r[p]} - 1)) {\n return ${i};\n }`:""};\n row = max(0, min(row, ${r[c]} - 1));\n col = max(0, min(col, ${r[p]} - 1));\n var row1: u32 = u32(row);\n var col1: u32 = u32(col);\n var row2: u32 = u32(row + 1);\n var col2: u32 = u32(col + 1);\n var channel: u32 = ${r.length>2?`u32(originalIndices[${h}])`:"0"};\n var batch: u32 = ${r.length>2?`u32(originalIndices[${a}])`:"0"};\n var x11: ${d} = getInputValue(batch, channel, row1, col1);\n var x12: ${d} = getInputValue(batch, channel, row1, col2);\n var x21: ${d} = getInputValue(batch, channel, row2, col1);\n var x22: ${d} = getInputValue(batch, channel, row2, col2);\n var dx1: ${d} = abs(row - ${d}(row1));\n var dx2: ${d} = abs(${d}(row2) - row);\n var dy1: ${d} = abs(col - ${d}(col1));\n var dy2: ${d} = abs(${d}(col2) - col);\n if (row1 == row2) {\n dx1 = 0.5;\n dx2 = 0.5;\n }\n if (col1 == col2) {\n dy1 = 0.5;\n dy2 = 0.5;\n }\n return (x11 * dx2 * dy2 + x12 * dx2 * dy1 + x21 * dx1 * dy2 + x22 * dx1 * dy1);\n }`},Op=(e,t,r,o,i,u,a,c,p,h)=>{let d=r.length===2,y=!0,[w,_]=d?[0,1]:y?[2,3]:[1,2],v=e.type.value,S=A=>{let I=A===w?"row":"col";return`\n fn ${I}CubicInterpolation(input_indices: ${e.type.indices}, output_indices: ${t.type.indices}) -> ${v} {\n var output_index = ${t.indicesGet("output_indices",A)};\n var originalIdx: ${v} = getOriginalCoordinateFromResizedCoordinate(output_index, ${i[A]},\n ${o[A]}, ${r[A]}, ${u[A]}, ${u[A]} + ${r.length});\n var fractOriginalIdx: ${v} = originalIdx - floor(originalIdx);\n var coefs = getCubicInterpolationCoefs(fractOriginalIdx);\n\n if (${c} && (originalIdx < 0 || originalIdx > (${r[A]} - 1))) {\n return ${p};\n }\n var data: array<${v}, 4> = array<${v}, 4>(0.0, 0.0, 0.0, 0.0);\n for (var i: i32 = -1; i < 3; i++) {\n var ${I}: ${v} = originalIdx + ${v}(i);\n if (${I} < 0 || ${I} >= ${r[A]}) {\n ${(()=>h?`coefs[i + 1] = 0.0;\n continue;`:c?`return ${p};`:`${I} = max(0, min(${I}, ${r[A]} - 1));`)()};\n }\n var input_indices_copy: ${e.type.indices} = input_indices;\n ${e.indicesSet("input_indices_copy",A,`u32(${I})`)};\n data[i + 1] = ${A===w?e.getByIndices("input_indices_copy"):"rowCubicInterpolation(input_indices_copy, output_indices)"};\n }\n return cubicInterpolation1D(data, coefs);\n }`};return`\n ${S(w)};\n ${S(_)};\n fn getCubicInterpolationCoefs(s: ${v}) -> array<${v}, 4> {\n var absS = abs(s);\n var coeffs: array<${v}, 4> = array<${v}, 4>(0.0, 0.0, 0.0, 0.0);\n var oneMinusAbsS: ${v} = 1.0 - absS;\n var twoMinusAbsS: ${v} = 2.0 - absS;\n var onePlusAbsS: ${v} = 1.0 + absS;\n coeffs[0] = ((${a} * onePlusAbsS - 5 * ${a}) * onePlusAbsS + 8 * ${a}) * onePlusAbsS - 4 * ${a};\n coeffs[1] = ((${a} + 2) * absS - (${a} + 3)) * absS * absS + 1;\n coeffs[2] = ((${a} + 2) * oneMinusAbsS - (${a} + 3)) * oneMinusAbsS * oneMinusAbsS + 1;\n coeffs[3] = ((${a} * twoMinusAbsS - 5 * ${a}) * twoMinusAbsS + 8 * ${a}) * twoMinusAbsS - 4 * ${a};\n return coeffs;\n }\n\n fn cubicInterpolation1D(x: array<${v}, 4>, coefs: array<${v}, 4>) -> ${v} {\n var coefsSum: ${v} = coefs[0] + coefs[1] + coefs[2] + coefs[3];\n return (x[0] * coefs[0] + x[1] * coefs[1]+ x[2] * coefs[2]+ x[3] * coefs[3]) / coefsSum;\n }\n\n fn bicubicInterpolation(output_indices: ${t.type.indices}) -> ${v} {\n var input_indices: ${e.type.indices} = output_indices;\n return colCubicInterpolation(input_indices, output_indices);\n }\n `},Rp=(e,t,r,o,i)=>{let[a,c,p,h,d]=r.length===3?[-1,0,1,2,-1]:[0,2,3,4,1],y=e.type.value;return`\n fn getInputValue(batch: u32, channel: u32, depth:u32, height: u32, width: u32) -> ${y} {\n var input_indices: ${e.type.indices};\n ${e.indicesSet("input_indices",c,`max(0, min(depth, ${r[c]} - 1))`)};\n ${e.indicesSet("input_indices",p,`max(0, min(height, ${r[p]} - 1))`)};\n ${e.indicesSet("input_indices",h,`max(0, min(width, ${r[h]} - 1))`)};\n ${fd(e,d,a,3)}\n return ${e.getByIndices("input_indices")};\n }\n\n fn trilinearInterpolation(output_indices: ${t.type.indices}) -> ${y} {\n var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);\n var depth:${y} = originalIndices[${c}];\n var height:${y} = originalIndices[${p}];\n var width:${y} = originalIndices[${h}];\n ${o?`if (depth < 0 || depth > (${r[c]} - 1) || height < 0 || height > (${r[p]} - 1) || width < 0 || (width > ${r[h]} - 1)) {\n return ${i};\n }`:""};\n\n depth = max(0, min(depth, ${r[c]} - 1));\n height = max(0, min(height, ${r[p]} - 1));\n width = max(0, min(width, ${r[h]} - 1));\n var depth1: u32 = u32(depth);\n var height1: u32 = u32(height);\n var width1: u32 = u32(width);\n var depth2: u32 = u32(depth + 1);\n var height2: u32 = u32(height + 1);\n var width2: u32 = u32(width + 1);\n var channel: u32 = ${r.length>3?`u32(originalIndices[${d}])`:"0"};\n var batch: u32 = ${r.length>3?`u32(originalIndices[${a}])`:"0"};\n\n var x111: ${y} = getInputValue(batch, channel, depth1, height1, width1);\n var x112: ${y} = getInputValue(batch, channel, depth1, height1, width2);\n var x121: ${y} = getInputValue(batch, channel, depth1, height2, width1);\n var x122: ${y} = getInputValue(batch, channel, depth1, height2, width2);\n var x211: ${y} = getInputValue(batch, channel, depth2, height1, width1);\n var x212: ${y} = getInputValue(batch, channel, depth2, height1, width2);\n var x221: ${y} = getInputValue(batch, channel, depth2, height2, width1);\n var x222: ${y} = getInputValue(batch, channel, depth2, height2, width2);\n var dx1: ${y} = abs(depth - ${y}(depth1));\n var dx2: ${y} = abs(${y}(depth2) - depth);\n var dy1: ${y} = abs(height - ${y}(height1));\n var dy2: ${y} = abs(${y}(height2) - height);\n var dz1: ${y} = abs(width - ${y}(width1));\n var dz2: ${y} = abs(${y}(width2) - width);\n if (depth1 == depth2) {\n dx1 = 0.5;\n dx2 = 0.5;\n }\n if (height1 == height2) {\n dy1 = 0.5;\n dy2 = 0.5;\n }\n if (width1 == width2) {\n dz1 = 0.5;\n dz2 = 0.5;\n }\n return (x111 * dx2 * dy2 * dz2 + x112 * dx2 * dy2 * dz1 + x121 * dx2 * dy1 *dz2 + x122 * dx2 * dy1 * dz1 +\n x211 * dx1 * dy2 * dz2 + x212 * dx1 * dy2 * dz1 + x221 * dx1 * dy1 *dz2 + x222 * dx1 * dy1 * dz1);\n }`},Bp=(e,t,r,o,i,u)=>{let a=e.dims,c=Cp(u,t.axes,a.length),p=Ap(a,o,i,t.axes),h=o.slice();o.length===0&&(h=a.map((x,E)=>x===0?1:p[E]/x),t.keepAspectRatioPolicy!=="stretch"&&(p=Ip(a,h,t)));let d=j("output",e.dataType,p.length),y=U("input",e.dataType,a.length),w=M.size(p),_=a.length===p.length&&a.every((x,E)=>x===p[E]),v=t.coordinateTransformMode==="tf_crop_and_resize",S=t.extrapolationValue,A=y.type.value,I=x=>`\n ${_?"":`\n ${Sp(t.coordinateTransformMode,A)};\n ${(()=>{switch(t.mode){case"nearest":return`\n ${Pp(y,a)};\n ${xp(t.nearestMode,r,A)};\n ${Ep(y,d,a,p,h.length,c.length,v)};\n `;case"linear":return`\n ${Tp(d,a,p,h.length,c.length)};\n ${(()=>{if(a.length===2||a.length===4)return`${kp(y,d,a,v,S)}`;if(a.length===3||a.length===5)return`${Rp(y,d,a,v,S)}`;throw Error("Linear mode only supports input dims 2, 3, 4 and 5 are supported in linear mode.")})()};\n `;case"cubic":return`\n ${(()=>{if(a.length===2||a.length===4)return`${Op(y,d,a,p,h,c,t.cubicCoeffA,v,t.extrapolationValue,t.excludeOutside)}`;throw Error("Cubic mode only supports input dims 2 and 4 are supported in linear mode.")})()};\n `;default:throw Error("Invalid resize mode")}})()};\n `}\n ${x.registerUniform("output_size","u32").registerUniform("scales","f32",h.length).registerUniform("roi","f32",c.length).declareVariables(y,d)}\n ${x.mainStart()}\n ${x.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}\n ${_?"output[global_idx] = input[global_idx];":`\n let output_indices = ${d.offsetToIndices("global_idx")};\n var input_indices: ${y.type.indices};\n ${(()=>{switch(t.mode){case"nearest":return`input_indices = calculateInputIndicesFromOutputIndices(output_indices);\n if (checkInputIndices(input_indices)) {\n output[global_idx] = ${y.getByIndices("input_indices")};\n } else {\n output[global_idx] = ${t.extrapolationValue};\n }`;case"linear":return`output[global_idx] = ${a.length===2||a.length===4?"bilinearInterpolation":"trilinearInterpolation"}(output_indices);`;case"cubic":return"output[global_idx] = bicubicInterpolation(output_indices);";default:throw Error(`Unsupported resize mode: ${t.mode}`)}})()};\n`}\n }`;return{name:"Resize",shaderCache:{hint:`${t.cacheKey}|${r}|${h.length>0?h:""}|${i.length>0?i:""}|${c.length>0?c:""}|${_}|${a}`,inputDependencies:["rank"]},getShaderSource:I,getRunData:()=>({outputs:[{dims:p,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(w/64)},programUniforms:[{type:12,data:w},{type:1,data:h},{type:1,data:c},...Z(a,p)]})}},Dp=e=>{let t=e.customDataBuffer;return new Uint32Array(t,t.byteOffset,1)[0]},hd=(e,t)=>{let r=[],o=[],i=[],u=Dp(e);if(t.antialias!==0)throw Error("Only default value (0) for Antialias attribute is supported");_p(e.inputs,t,u,r,o,i),e.compute(Bp(e.inputs[0],t,u,r,o,i),{inputs:[0]})},gd=e=>{let t=e.antialias,r=e.axes,o=e.coordinateTransformMode,i=e.cubicCoeffA,u=e.excludeOutside!==0,a=e.extrapolationValue,c=e.keepAspectRatioPolicy,p=e.mode,h=e.nearestMode===""?"simple":e.nearestMode;return ve({antialias:t,axes:r,coordinateTransformMode:o,cubicCoeffA:i,excludeOutside:u,extrapolationValue:a,keepAspectRatioPolicy:c,mode:p,nearestMode:h})}});var zp,Mp,bd,wd=Y(()=>{"use strict";ye();Se();Ze();_e();zp=(e,t)=>{let[r,o,i,u]=e,{numHeads:a,rotaryEmbeddingDim:c}=t;if(r.dims.length!==3&&r.dims.length!==4)throw new Error(`Input \'x\' is expected to have 3 or 4 dimensions, got ${r.dims.length}`);if(!M.areEqual(o.dims,[])&&!M.areEqual(o.dims,[1])&&o.dims.length!==2)throw new Error(`Input \'position_ids\' is expected to have 0, 1, or 2 dimensions, got ${o.dims.length}`);if(i.dims.length!==2)throw new Error(`Input \'cos_cache\' is expected to have 2 dimensions, got ${i.dims.length}`);if(u.dims.length!==2)throw new Error(`Input \'sin_cache\' is expected to have 2 dimensions, got ${u.dims.length}`);if(!M.areEqual(i.dims,u.dims))throw new Error("Inputs \'cos_cache\' and \'sin_cache\' are expected to have the same shape");if(c>0&&a===0)throw new Error("num_heads must be provided if rotary_embedding_dim is specified");let p=r.dims[0],h=r.dims[r.dims.length-2],d=i.dims[0],y=M.sizeFromDimension(r.dims,1)/h,w=c===0?i.dims[1]*2:y/a;if(c>w)throw new Error("rotary_embedding_dim must be less than or equal to head_size");if(o.dims.length===2){if(p!==o.dims[0])throw new Error(`Input \'position_ids\' dimension 0 should be of size batch_size, got ${o.dims[0]}`);if(h!==o.dims[1])throw new Error(`Input \'position_ids\' dimension 1 should be of size sequence_length, got ${o.dims[1]}`)}if(w/2!==i.dims[1]&&c/2!==i.dims[1])throw new Error(`Input \'cos_cache\' dimension 1 should be same as head_size / 2 or rotary_embedding_dim / 2, got ${i.dims[1]}`);if(h>d)throw new Error("Updating cos_cache and sin_cache in RotaryEmbedding is not currently supported")},Mp=(e,t)=>{let{interleaved:r,numHeads:o,rotaryEmbeddingDim:i,scale:u}=t,a=e[0].dims[0],c=M.sizeFromDimension(e[0].dims,1),p=e[0].dims[e[0].dims.length-2],h=c/p,d=e[2].dims[1],y=i===0?d*2:h/o,w=new Array(a,p,h/y,y-d),_=M.computeStrides(w),v=[{type:1,data:u},{type:12,data:w},{type:12,data:_},...e[0].dims.length===3?new Array({type:12,data:[c,h,y,1]}):[],...e[0].dims.length===4?new Array({type:12,data:[c,y,p*y,1]}):[],...Z(e[0].dims,e[1].dims,e[2].dims,e[3].dims,e[0].dims)],S=A=>{let I=U("input",e[0].dataType,e[0].dims.length),x=U("position_ids",e[1].dataType,e[1].dims.length),E=U("cos_cache",e[2].dataType,e[2].dims.length),P=U("sin_cache",e[3].dataType,e[3].dims.length),O=j("output",e[0].dataType,e[0].dims.length);return A.registerUniforms([{name:"scale",type:"f32"},{name:"global_shape",type:"u32",length:w.length},{name:"global_strides",type:"u32",length:_.length},{name:"input_output_strides",type:"u32",length:_.length}]),`\n ${A.declareVariables(I,x,E,P,O)}\n\n ${A.mainStart(or)}\n let half_rotary_emb_dim = uniforms.${E.name}_shape[1];\n let bsnh = global_idx / uniforms.global_strides % uniforms.global_shape;\n let size = uniforms.global_shape[0] * uniforms.global_strides[0];\n ${A.guardAgainstOutOfBoundsWorkgroupSizes("size")}\n\n if (bsnh[3] < half_rotary_emb_dim) {\n let position_ids_idx =\n ${x.broadcastedIndicesToOffset("bsnh.xy",j("",x.type.tensor,2))};\n let position_id =\n u32(${x.getByOffset("position_ids_idx")}) + select(0, bsnh[1], position_ids_idx == 0);\n let i = dot(bsnh, uniforms.input_output_strides) + select(0, bsnh[3], ${r});\n let j = i + select(half_rotary_emb_dim, 1, ${r});\n let re = ${I.getByOffset("i")} * ${E.get("position_id","bsnh[3]")} -\n ${I.getByOffset("j")} * ${P.get("position_id","bsnh[3]")};\n ${O.setByOffset("i","re")}\n let im = ${I.getByOffset("i")} * ${P.get("position_id","bsnh[3]")} +\n ${I.getByOffset("j")} * ${E.get("position_id","bsnh[3]")};\n ${O.setByOffset("j","im")}\n } else {\n let k = dot(bsnh, uniforms.input_output_strides) + half_rotary_emb_dim;\n ${O.setByOffset("k",I.getByOffset("k"))}\n }\n }`};return{name:"RotaryEmbedding",shaderCache:{hint:ve({interleaved:r}).cacheKey,inputDependencies:["rank","rank","rank","rank"]},getShaderSource:S,getRunData:()=>({outputs:[{dims:e[0].dims,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(M.size(w)/or)},programUniforms:v})}},bd=(e,t)=>{zp(e.inputs,t),e.compute(Mp(e.inputs,t))}});var Up,Vp,vd,$d=Y(()=>{"use strict";ye();Se();_e();Up=e=>{if(!e||e.length<3)throw new Error("layerNorm requires at least 3 inputs.");let t=e[0],r=e[1],o=e[2];if(t.dataType!==r.dataType||t.dataType!==o.dataType)throw new Error("All inputs must have the same data type");if(t.dims.length!==3&&t.dims.length!==2)throw new Error("Input must be 2D or 3D");if(r.dims.length!==3&&r.dims.length!==2)throw new Error("Skip must be 2D or 3D");let i=t.dims[t.dims.length-1],u=t.dims[t.dims.length-2];if(r.dims[r.dims.length-1]!==i)throw new Error("Skip must have the same hidden size as input");if(r.dims[r.dims.length-2]!==u)throw new Error("Skip must have the same sequence length as input");if(o.dims.length!==1)throw new Error("Gamma must be 1D");if(o.dims[o.dims.length-1]!==i)throw new Error("Gamma must have the same hidden size as input");if(e.length>3){let a=e[3];if(a.dims.length!==1)throw new Error("Beta must be 1D");if(a.dims[a.dims.length-1]!==i)throw new Error("Beta must have the same hidden size as input")}if(e.length>4){let a=e[4];if(a.dims.length!==1)throw new Error("Bias must be 1D");if(a.dims[a.dims.length-1]!==i)throw new Error("Bias must have the same hidden size as input")}},Vp=(e,t,r,o)=>{let i=t.simplified,u=e[0].dims,a=M.size(u),c=u,p=a,h=u.slice(-1)[0],d=o?u.slice(0,-1).concat(1):[],y=!i&&e.length>3,w=e.length>4,_=o&&r>1,v=o&&r>2,S=r>3,A=Me(h),I=[{type:12,data:p},{type:12,data:A},{type:12,data:h},{type:1,data:t.epsilon}],x=P=>{let O=[{name:"output_size",type:"u32"},{name:"components",type:"u32"},{name:"hidden_size",type:"u32"},{name:"epsilon",type:"f32"}],R=[U("x",e[0].dataType,e[0].dims,A),U("skip",e[1].dataType,e[1].dims,A),U("gamma",e[2].dataType,e[2].dims,A)];y&&R.push(U("beta",e[3].dataType,e[3].dims,A)),w&&R.push(U("bias",e[4].dataType,e[4].dims,A)),R.push(j("output",e[0].dataType,c,A)),_&&R.push(j("mean_output",1,d)),v&&R.push(j("inv_std_output",1,d)),S&&R.push(j("input_skip_bias_sum",e[0].dataType,c,A));let L=De(e[0].dataType);return`\n\n ${P.registerUniforms(O).declareVariables(...R)}\n\n ${P.mainStart()}\n ${P.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size / uniforms.hidden_size")}\n let hidden_size_vectorized: u32 = uniforms.hidden_size / uniforms.components;\n let offset = global_idx * hidden_size_vectorized;\n var sum = ${$t("f32",A)};\n var squareSum = ${$t("f32",A)};\n for (var i: u32 = 0; i < hidden_size_vectorized; i++) {\n let skip_value = skip[offset + i];\n let bias_value = ${w?"bias[i]":L+"(0.0)"};\n let input_value = x[offset + i];\n let value = input_value + skip_value + bias_value;\n ${S?"input_skip_bias_sum[offset + i] = value;":""}\n output[offset + i] = value;\n let f32_value = ${ir(L,A,"value")};\n sum += f32_value;\n squareSum += f32_value * f32_value;\n }\n let mean = ${_t("sum",A)} / f32(uniforms.hidden_size);\n let inv_std_dev = inverseSqrt(${_t("squareSum",A)} / f32(uniforms.hidden_size) ${i?"":"- mean * mean"} + uniforms.epsilon);\n ${_?"mean_output[global_idx] = mean;":""}\n ${v?"inv_std_output[global_idx] = inv_std_dev;":""}\n for (var i: u32 = 0; i < hidden_size_vectorized; i++) {\n output[offset + i] = (output[offset + i] ${i?"":`- ${L}(mean)`}) * ${L}(inv_std_dev) * gamma[i] ${y?"+ beta[i]":""};\n }\n }`},E=[{dims:c,dataType:e[0].dataType}];return r>1&&E.push({dims:d,dataType:1}),r>2&&E.push({dims:d,dataType:1}),r>3&&E.push({dims:u,dataType:e[0].dataType}),{name:"SkipLayerNormalization",shaderCache:{hint:`${A};${_};${v};${S}`,inputDependencies:e.map((P,O)=>"type")},getShaderSource:x,getRunData:()=>({outputs:E,dispatchGroup:{x:Math.ceil(p/h/64)},programUniforms:I})}},vd=(e,t)=>{Up(e.inputs);let o=[0];e.outputCount>1&&o.push(-3),e.outputCount>2&&o.push(-3),e.outputCount>3&&o.push(3),e.compute(Vp(e.inputs,t,e.outputCount,!1),{outputs:o})}});var Wp,Gn,Np,_d,Gp,Hp,Sd,xd,Cd=Y(()=>{"use strict";ye();Se();Ze();_e();Wp=(e,t)=>{if(!e||e.length<1)throw new Error("too few inputs");if(t.axes.length!==0){if(t.axes.length!==t.starts.length||t.axes.length!==t.ends.length)throw new Error("axes, starts and ends must have the same length")}else if(t.starts.length!==t.ends.length)throw new Error("starts and ends must have the same length");e.slice(1).forEach((r,o)=>{if(e[o+1].dataType!==6&&e[o+1].dataType!==7)throw new Error(`Input ${o} must be an array of int32 or int64`)})},Gn=(e,t)=>{let r=[];if(e.length>t)if(e[t].dataType===7)e[t].getBigInt64Array().forEach(o=>r.push(Number(o)));else if(e[t].dataType===6)e[t].getInt32Array().forEach(o=>r.push(Number(o)));else throw new Error(`Input ${t} must be an array of int32 or int64`);return r},Np=(e,t)=>{if(e.length>1){let r=Gn(e,1),o=Gn(e,2),i=Gn(e,3);return i.length===0&&(i=[...Array(e[0].dims.length).keys()]),ve({starts:r,ends:o,axes:i})}else return t},_d=(e,t,r,o,i)=>{let u=e;return e<0&&(u+=r[o[t]]),i[t]<0?Math.max(0,Math.min(u,r[o[t]]-1)):Math.max(0,Math.min(u,r[o[t]]))},Gp=(e,t,r)=>`fn calculateInputIndices(output_indices: ${t.type.indices}) -> ${e.type.indices} {\n var input_indices: ${e.type.indices};\n var carry = 0u;\n for (var i = ${r.length}; i >= 0; i--) {\n let input_shape_i = ${fe("uniforms.input_shape","i",r.length)};\n let steps_i = ${fe("uniforms.steps","i",r.length)};\n let signs_i = ${fe("uniforms.signs","i",r.length)};\n let starts_i = ${fe("uniforms.starts","i",r.length)};\n var output_index = ${t.indicesGet("output_indices","i")};\n var input_index = output_index * steps_i + starts_i + carry;\n carry = input_index / input_shape_i;\n input_index = input_index % input_shape_i;\n if (signs_i < 0) {\n input_index = input_shape_i - input_index - 1u + starts_i;\n }\n ${e.indicesSet("input_indices","i","input_index")};\n }\n return input_indices;\n }`,Hp=(e,t)=>{let r=e[0].dims,o=M.size(r),i=t.axes.length>0?M.normalizeAxes(t.axes,r.length):[...Array(r.length).keys()],u=Gn(e,4);u.forEach(I=>I!==0||(()=>{throw new Error("step cannot be 0")})),u.length===0&&(u=Array(i.length).fill(1));let a=t.starts.map((I,x)=>_d(I,x,r,i,u)),c=t.ends.map((I,x)=>_d(I,x,r,i,u));if(i.length!==a.length||i.length!==c.length)throw new Error("start, ends and axes should have the same number of elements");if(i.length!==r.length)for(let I=0;IMath.sign(I));u.forEach((I,x,E)=>{if(I<0){let P=(c[x]-a[x])/I,O=a[x],R=O+P*u[x];a[x]=R,c[x]=O,E[x]=-I}});let h=r.slice(0);i.forEach((I,x)=>{h[I]=Math.ceil((c[I]-a[I])/u[I])});let d={dims:h,dataType:e[0].dataType},y=j("output",e[0].dataType,h.length),w=U("input",e[0].dataType,e[0].dims.length),_=M.size(h),v=[{name:"outputSize",type:"u32"},{name:"starts",type:"u32",length:a.length},{name:"signs",type:"i32",length:p.length},{name:"steps",type:"u32",length:u.length}],S=[{type:12,data:_},{type:12,data:a},{type:6,data:p},{type:12,data:u},...Z(e[0].dims,h)],A=I=>`\n ${I.registerUniforms(v).declareVariables(w,y)}\n ${Gp(w,y,r)}\n ${I.mainStart()}\n ${I.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}\n let output_indices = ${y.offsetToIndices("global_idx")};\n let input_indices = calculateInputIndices(output_indices);\n ${y.setByOffset("global_idx",w.getByIndices("input_indices"))}\n }`;return{name:"Slice",shaderCache:{hint:`${p.length}_${a.length}_${u.length}`,inputDependencies:["rank"]},getShaderSource:A,getRunData:()=>({outputs:[d],dispatchGroup:{x:Math.ceil(o/64)},programUniforms:S})}},Sd=(e,t)=>{Wp(e.inputs,t);let r=Np(e.inputs,t);e.compute(Hp(e.inputs,r),{inputs:[0]})},xd=e=>{let t=e.starts,r=e.ends,o=e.axes;return ve({starts:t,ends:r,axes:o})}});var Lp,Fp,Ad,Id,Td=Y(()=>{"use strict";ye();Se();Ze();_e();Lp=e=>{if(!e||e.length!==1)throw new Error("Softmax op requires 1 input.")},Fp=(e,t)=>{let r=e.dims,o=M.size(r),i=64,u=t.axis;if(u<0&&(u=r.length+u),uI===4?`max(max(${A}.x, ${A}.y), max(${A}.z, ${A}.w))`:I===2?`max(${A}.x, ${A}.y)`:I===3?`max(max(${A}.x, ${A}.y), ${A}.z)`:A,y=U("x",e.dataType,e.dims,p),w=j("result",e.dataType,e.dims,p),_=y.type.value,v=De(e.dataType)==="f32"?`var threadMax = ${_}(-3.402823e+38f);`:`var threadMax = ${_}(-65504.0h);`,S=A=>`\n var rowMaxShared : ${_};\n var rowSumShared : ${_};\n var threadShared : array<${_}, ${i}>;\n\n fn getValue(row: i32, col: i32, row_stride: i32) -> ${_} {\n let index = row * row_stride + col;\n return x[index];\n }\n\n fn setValue(row: i32, col: i32, row_stride: i32, value: ${_}) {\n let index = row * row_stride + col;\n result[index] = value;\n }\n ${A.registerUniform("packedCols","i32").declareVariables(y,w)}\n ${A.mainStart()}\n let gindex = i32(global_idx);\n let lindex = i32(local_idx);\n const wg = ${i};\n let row = gindex / wg;\n let cols = uniforms.packedCols;\n let row_stride : i32 = uniforms.packedCols;\n\n // find the rows max\n ${v}\n for (var col = lindex; col < cols; col += wg) {\n let value = getValue(row, col, row_stride);\n threadMax = max(threadMax, value);\n }\n if (lindex < cols) {\n threadShared[lindex] = threadMax;\n }\n workgroupBarrier();\n\n var reduceSize = min(cols, wg);\n for (var currSize = reduceSize >> 1; currSize > 0; currSize = reduceSize >> 1) {\n reduceSize = currSize + (reduceSize & 1);\n if (lindex < currSize) {\n threadShared[lindex] = max(threadShared[lindex], threadShared[lindex + reduceSize]);\n }\n workgroupBarrier();\n }\n if (lindex == 0) {\n rowMaxShared = ${_}(${d("threadShared[0]",p)});\n }\n workgroupBarrier();\n\n // find the rows sum\n var threadSum = ${_}(0.0);\n for (var col = lindex; col < cols; col += wg) {\n let subExp = exp(getValue(row, col, row_stride) - rowMaxShared);\n threadSum += subExp;\n }\n threadShared[lindex] = threadSum;\n workgroupBarrier();\n\n for (var currSize = wg >> 1; currSize > 0; currSize = currSize >> 1) {\n if (lindex < currSize) {\n threadShared[lindex] = threadShared[lindex] + threadShared[lindex + currSize];\n }\n workgroupBarrier();\n }\n if (lindex == 0) {\n rowSumShared = ${_}(${_t("threadShared[0]",p)});\n }\n workgroupBarrier();\n\n // calculate final value for each element in the row\n for (var col = lindex; col < cols; col += wg) {\n let value = exp(getValue(row, col, row_stride) - rowMaxShared) / rowSumShared;\n setValue(row, col, row_stride, value);\n }\n }`;return{name:"Softmax",shaderCache:{hint:`${p}`,inputDependencies:["type"]},getRunData:()=>({outputs:[{dims:r,dataType:e.dataType}],dispatchGroup:{x:c},programUniforms:[{type:6,data:h}]}),getShaderSource:S}},Ad=(e,t)=>{Lp(e.inputs),e.compute(Fp(e.inputs[0],t))},Id=e=>ve({axis:e.axis})});var qp,jp,Kp,Yp,Zp,Ed,Pd,kd=Y(()=>{"use strict";ye();Se();Ze();_e();qp=e=>{if(!e||e.length<1)throw new Error("too few inputs")},jp=(e,t)=>{let r=[],o=t.numOutputs;return e[1].dims[0]>0&&(e[1].getBigInt64Array().forEach(i=>r.push(Number(i))),o=r.length),ve({numOutputs:o,axis:t.axis,splitSizes:r})},Kp=e=>`\nfn calculateOutputIndex(index: u32) -> u32 {\n for (var i: u32 = 0u; i < ${e}u; i += 1u ) {\n if (index < ${fe("uniforms.size_in_split_axis","i",e)}) {\n return i;\n }\n }\n return ${e}u;\n}`,Yp=e=>{let t=e.length,r=[];for(let o=0;o{let r=e[0].dims,o=M.size(r),i=e[0].dataType,u=M.normalizeAxis(t.axis,r.length),a=new Array(t.numOutputs),c=U("input",i,r.length),p=new Array(t.numOutputs),h=[],d=[],y=0,w=[{type:12,data:o}];for(let v=0;v`\n ${v.registerUniform("input_size","u32").registerUniform("size_in_split_axis","u32",p.length).declareVariables(c,...a)}\n ${Kp(p.length)}\n ${Yp(a)}\n\n ${v.mainStart()}\n ${v.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.input_size")}\n\n var indices = ${c.offsetToIndices("global_idx")};\n var index = ${c.indicesGet("indices",u)};\n let output_number = calculateOutputIndex(index);\n if (output_number != 0) {\n index -= ${fe("uniforms.size_in_split_axis","output_number - 1u",p.length)};\n ${c.indicesSet("indices",u,"index")};\n }\n writeBufferData(output_number, indices, global_idx);\n }`;return{name:"Split",shaderCache:{hint:t.cacheKey,inputDependencies:["rank"]},getShaderSource:_,getRunData:()=>({outputs:h,dispatchGroup:{x:Math.ceil(o/64)},programUniforms:w})}},Ed=(e,t)=>{qp(e.inputs);let r=e.inputs.length===1?t:jp(e.inputs,t);e.compute(Zp(e.inputs,r),{inputs:[0]})},Pd=e=>{let t=e.axis,r=e.splitSizes,o=e.numOutputs<0?r.length:e.numOutputs;if(o!==r.length)throw new Error("numOutputs and splitSizes lengh must be equal");return ve({axis:t,numOutputs:o,splitSizes:r})}});var Od,Xp,Qp,Jp,Rd,Bd=Y(()=>{"use strict";ye();Se();_e();Od=e=>Array.from(e.getBigInt64Array(),Number),Xp=e=>{if(!e||e.length!==2)throw new Error("Tile requires 2 inputs.");if(e[0].dataType!==1&&e[0].dataType!==6&&e[0].dataType!==12)throw new Error("Tile only support float, int32, and uint32 data types");if(e[1].dataType!==7)throw new Error("Tile `repeats` input should be of int64 data type");if(e[1].dims.length!==1)throw new Error("Tile `repeats` input should be 1-D");if(Od(e[1]).length!==e[0].dims.length)throw new Error("Tile `repeats` input should have same number of elements as rank of input data tensor")},Qp=(e,t)=>{let r=[];for(let o=0;o{let t=e[0].dims,r=Od(e[1]),o=Qp(t,r),i=M.size(o),u=e[0].dataType,a=U("input",u,t.length),c=j("output",u,o.length),p=h=>`\n const inputShape = ${a.indices(...t)};\n ${h.registerUniform("output_size","u32").declareVariables(a,c)}\n ${h.mainStart()}\n ${h.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}\n let output_indices = ${c.offsetToIndices("global_idx")};\n var input_indices: ${a.type.indices};\n for (var i = 0; i < ${t.length}; i++) {\n let input_dim_i = ${a.indicesGet("uniforms.input_shape","i")};\n let input_dim_value = ${c.indicesGet("output_indices","i")} % input_dim_i;\n\n ${a.indicesSet("input_indices","i","input_dim_value")}\n }\n ${c.setByOffset("global_idx",a.getByIndices("input_indices"))}\n }`;return{name:"Tile",shaderCache:{hint:`${r}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:o,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(i/64)},programUniforms:[{type:12,data:i},...Z(e[0].dims,o)]}),getShaderSource:p}},Rd=e=>{Xp(e.inputs),e.compute(Jp(e.inputs),{inputs:[0]})}});var em,tm,Dd,zd=Y(()=>{"use strict";ye();Se();_e();em=(e,t,r,o,i)=>{let u=j("output_data",i,r.length,4),a=U("a_data",t[1].dataType,t[1].dims.length,4),c=U("b_data",t[2].dataType,t[2].dims.length,4),p=U("c_data",t[0].dataType,t[0].dims.length,4),h,d=(y,w,_)=>`select(${w}, ${y}, ${_})`;if(!o)h=u.setByOffset("global_idx",d(a.getByOffset("global_idx"),c.getByOffset("global_idx"),p.getByOffset("global_idx")));else{let y=(w,_,v="")=>{let S=`a_data[index_a${_}][component_a${_}]`,A=`b_data[index_b${_}][component_b${_}]`,I=`bool(c_data[index_c${_}] & (0xffu << (component_c${_} * 8)))`;return`\n let output_indices${_} = ${u.offsetToIndices(`global_idx * 4u + ${_}u`)};\n let offset_a${_} = ${a.broadcastedIndicesToOffset(`output_indices${_}`,u)};\n let offset_b${_} = ${c.broadcastedIndicesToOffset(`output_indices${_}`,u)};\n let offset_c${_} = ${p.broadcastedIndicesToOffset(`output_indices${_}`,u)};\n let index_a${_} = offset_a${_} / 4u;\n let index_b${_} = offset_b${_} / 4u;\n let index_c${_} = offset_c${_} / 4u;\n let component_a${_} = offset_a${_} % 4u;\n let component_b${_} = offset_b${_} % 4u;\n let component_c${_} = offset_c${_} % 4u;\n ${w}[${_}] = ${v}(${d(S,A,I)});\n `};i===9?h=`\n var data = vec4(0);\n ${y("data",0,"u32")}\n ${y("data",1,"u32")}\n ${y("data",2,"u32")}\n ${y("data",3,"u32")}\n output_data[global_idx] = dot(vec4(0x1, 0x100, 0x10000, 0x1000000), vec4(data));`:h=`\n ${y("output_data[global_idx]",0)}\n ${y("output_data[global_idx]",1)}\n ${y("output_data[global_idx]",2)}\n ${y("output_data[global_idx]",3)}\n `}return`\n ${e.registerUniform("vec_size","u32").declareVariables(p,a,c,u)}\n ${e.mainStart()}\n ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}\n ${h}\n }`},tm=e=>{let t=e[1].dims,r=e[2].dims,o=e[0].dims,i=e[1].dataType,u=!(M.areEqual(t,r)&&M.areEqual(r,o)),a=t,c=M.size(t);if(u){let h=It.calcShape(It.calcShape(t,r,!1),o,!1);if(!h)throw new Error("Can\'t perform where op on the given tensors");a=h,c=M.size(a)}let p=Math.ceil(c/4);return{name:"Where",shaderCache:{inputDependencies:["rank","rank","rank"]},getShaderSource:h=>em(h,e,a,u,i),getRunData:()=>({outputs:[{dims:a,dataType:i}],dispatchGroup:{x:Math.ceil(c/64/4)},programUniforms:[{type:12,data:p},...Z(o,t,r,a)]})}},Dd=e=>{e.compute(tm(e.inputs))}});var Md,Ud=Y(()=>{"use strict";Ka();Ro();Ja();ts();Vs();Zs();Oo();Uo();lu();mu();gu();$u();xu();Au();Eu();Ou();Du();Mu();Vu();Wo();Gu();qu();Ku();cd();md();In();yd();wd();$d();Cd();Td();kd();Bd();Sr();Rn();zd();Md=new Map([["Abs",[rs]],["Acos",[ns]],["Acosh",[os]],["Add",[Ws]],["ArgMax",[ja,ko]],["ArgMin",[qa,ko]],["Asin",[is]],["Asinh",[as]],["Atan",[ss]],["Atanh",[us]],["Attention",[Xa]],["AveragePool",[rd,td]],["BatchNormalization",[Qa]],["BiasAdd",[es]],["BiasSplitGelu",[Us]],["Cast",[ls,ds]],["Ceil",[ps]],["Clip",[cs]],["Concat",[Ya,Za]],["Conv",[Ho,Go]],["ConvTranspose",[du,uu]],["Cos",[ms]],["Cosh",[fs]],["CumSum",[cu,pu]],["DepthToSpace",[fu,hu]],["Div",[Ns]],["Einsum",[wu,vu]],["Elu",[hs,kn]],["Equal",[Gs]],["Erf",[gs]],["Exp",[ys]],["Expand",[Su]],["FastGelu",[Cu]],["Floor",[bs]],["FusedConv",[Ho,Go]],["Gather",[Tu,Iu]],["GatherElements",[ku,Pu]],["Gelu",[ws]],["Gemm",[Bu,Ru]],["GlobalAveragePool",[id,od]],["GlobalMaxPool",[ld,dd]],["Greater",[qs]],["GreaterOrEqual",[Ks]],["HardSigmoid",[Is,As]],["InstanceNormalization",[zu]],["LayerNormalization",[Uu]],["LeakyRelu",[vs,kn]],["Less",[js]],["LessOrEqual",[Ys]],["Log",[zs]],["MatMul",[ru]],["MatMulNBits",[Wu,Nu]],["MaxPool",[sd,ud]],["Mul",[Hs]],["MultiHeadAttention",[Fu,Lu]],["Neg",[_s]],["Not",[$s]],["Pad",[ju]],["Pow",[Ls]],["Range",[pd]],["Reciprocal",[Ss]],["ReduceMin",[Wa]],["ReduceMean",[Da]],["ReduceMax",[Va]],["ReduceSum",[Ga]],["ReduceProd",[Na]],["ReduceL1",[za]],["ReduceL2",[Ma]],["ReduceLogSum",[La]],["ReduceLogSumExp",[Ua]],["ReduceSumSquare",[Ha]],["Relu",[xs]],["Resize",[hd,gd]],["RotaryEmbedding",[bd]],["Sigmoid",[Cs]],["Sin",[Ts]],["Sinh",[Es]],["Slice",[Sd,xd]],["SkipLayerNormalization",[vd]],["Split",[Ed,Pd]],["Sqrt",[Ps]],["Softmax",[Ad,Id]],["Sub",[Fs]],["Tan",[ks]],["Tanh",[Rs]],["ThresholdedRelu",[Ds,kn]],["Tile",[Rd]],["Transpose",[_a,Sa]],["Where",[Dd]]])});var Hn,Vd=Y(()=>{"use strict";$r();Lt();_e();Hn=class{constructor(t){this.backend=t;this.repo=new Map,this.attributesBound=!1}getArtifact(t){return this.repo.get(t)}setArtifact(t,r){this.repo.set(t,r)}run(t,r,o,i,u){rr(t.programInfo.name);let a=this.backend.device,c=this.backend.getComputePassEncoder();this.backend.writeTimestamp(this.backend.pendingDispatchNumber*2);let p=[];for(let d of r)p.push({binding:p.length,resource:{buffer:d.buffer}});for(let d of o)p.push({binding:p.length,resource:{buffer:d.buffer}});u&&p.push({binding:p.length,resource:u});let h=a.createBindGroup({layout:t.computePipeline.getBindGroupLayout(0),entries:p,label:t.programInfo.name});if(this.backend.sessionStatus==="capturing"){let d={kernelId:this.backend.currentKernelId,computePipeline:t.computePipeline,bindGroup:h,dispatchGroup:i};this.backend.capturedCommandList.get(this.backend.currentSessionId).push(d)}c.setPipeline(t.computePipeline),c.setBindGroup(0,h),c.dispatchWorkgroups(...i),this.backend.writeTimestamp(this.backend.pendingDispatchNumber*2+1),this.backend.pendingDispatchNumber++,(this.backend.pendingDispatchNumber>=this.backend.maxDispatchNumber||this.backend.queryType==="at-passes")&&this.backend.endComputePass(),this.backend.pendingDispatchNumber>=this.backend.maxDispatchNumber&&this.backend.flush(),Ht(t.programInfo.name)}dispose(){}build(t,r){rr(t.name);let o=this.backend.device,i=[];o.features.has("shader-f16")&&i.push("enable f16;");let u=va(r,this.backend.device.limits),a=t.getShaderSource(u),c=`${i.join(`\n`)}\n${u.additionalImplementations}\n${a}`,p=o.createShaderModule({code:c,label:t.name});Ve("verbose",()=>`[WebGPU] ${t.name} shader code: ${c}`);let h=o.createComputePipeline({compute:{module:p,entryPoint:"main"},layout:"auto",label:t.name});return Ht(t.name),{programInfo:t,computePipeline:h,uniformVariablesInfo:u.variablesInfo}}normalizeDispatchGroupSize(t){let r=typeof t=="number"?t:t.x,o=typeof t=="number"?1:t.y||1,i=typeof t=="number"?1:t.z||1,u=this.backend.device.limits.maxComputeWorkgroupsPerDimension;if(r<=u&&o<=u&&i<=u)return[r,o,i];let a=r*o*i,c=Math.ceil(Math.sqrt(a));if(c>u){if(c=Math.ceil(Math.cbrt(a)),c>u)throw new Error("Total dispatch size exceeds WebGPU maximum.");return[c,c,c]}else return[c,c,1]}}});var rm,nm,Yo,Ln,Wd=Y(()=>{"use strict";$r();ye();Lt();fa();wa();Ud();Vd();rm=(e,t)=>{if(t.length!==e.length)throw new Error(`inputDependencies length ${t.length} is not equal to inputTensors length ${e.length}.`);let r=[];for(let o=0;o{let o=e.name;return e.shaderCache?.hint&&(o+="["+e.shaderCache.hint+"]"),o+=":"+r+`:${rm(t,e.shaderCache?.inputDependencies??new Array(t.length).fill("dims"))}`,o},Yo=class{constructor(t){t&&(this.architecture=t.architecture,this.vendor=t.vendor)}isArchitecture(t){return this.architecture===t}isVendor(t){return this.vendor===t}},Ln=class{constructor(){this.currentSessionId=null;this.currentKernelId=null;this.commandEncoder=null;this.computePassEncoder=null;this.maxDispatchNumber=16;this.pendingDispatchNumber=0;this.pendingKernels=[];this.pendingQueries=new Map;this.sessionStatus="default";this.capturedCommandList=new Map;this.capturedPendingKernels=new Map;this.sessionExternalDataMapping=new Map}get currentKernelCustomData(){if(this.currentKernelId===null)throw new Error("currentKernelCustomData(): currentKernelId is null. (should not happen)");let t=this.kernelCustomData.get(this.currentKernelId);return t||(t={},this.kernelCustomData.set(this.currentKernelId,t)),t}async initialize(t,r){this.env=t;let o=[],i={requiredLimits:{maxComputeWorkgroupStorageSize:r.limits.maxComputeWorkgroupStorageSize,maxComputeWorkgroupsPerDimension:r.limits.maxComputeWorkgroupsPerDimension,maxStorageBufferBindingSize:r.limits.maxStorageBufferBindingSize,maxBufferSize:r.limits.maxBufferSize,maxComputeInvocationsPerWorkgroup:r.limits.maxComputeInvocationsPerWorkgroup,maxComputeWorkgroupSizeX:r.limits.maxComputeWorkgroupSizeX,maxComputeWorkgroupSizeY:r.limits.maxComputeWorkgroupSizeY,maxComputeWorkgroupSizeZ:r.limits.maxComputeWorkgroupSizeZ},requiredFeatures:o};r.features.has("chromium-experimental-timestamp-query-inside-passes")?o.push("chromium-experimental-timestamp-query-inside-passes"):r.features.has("timestamp-query")&&o.push("timestamp-query"),r.features.has("shader-f16")&&o.push("shader-f16"),this.device=await r.requestDevice(i),this.adapterInfo=new Yo(await r.requestAdapterInfo()),this.gpuDataManager=ba(this),this.programManager=new Hn(this),this.kernels=new Map,this.kernelPersistentData=new Map,this.kernelCustomData=new Map,pa(t.logLevel,!!t.debug),this.device.onuncapturederror=u=>{u.error instanceof GPUValidationError&&console.error(`An uncaught WebGPU validation error was raised: ${u.error.message}`)},Object.defineProperty(this.env.webgpu,"device",{value:this.device,writable:!1,enumerable:!0,configurable:!1}),Object.defineProperty(this.env.webgpu,"adapter",{value:r,writable:!1,enumerable:!0,configurable:!1}),this.setQueryType()}dispose(){typeof this.querySet<"u"&&this.querySet.destroy(),this.gpuDataManager.dispose()}getCommandEncoder(){return this.commandEncoder||(this.commandEncoder=this.device.createCommandEncoder()),this.commandEncoder}getComputePassEncoder(){if(!this.computePassEncoder){let t=this.getCommandEncoder(),r={};this.queryType==="at-passes"&&(r.timestampWrites={querySet:this.querySet,beginningOfPassWriteIndex:this.pendingDispatchNumber*2,endOfPassWriteIndex:this.pendingDispatchNumber*2+1}),this.computePassEncoder=t.beginComputePass(r)}return this.computePassEncoder}endComputePass(){this.computePassEncoder&&(this.computePassEncoder.end(),this.computePassEncoder=null)}flush(){if(!this.commandEncoder)return;rr(),this.endComputePass();let t;this.queryType!=="none"&&(this.commandEncoder.resolveQuerySet(this.querySet,0,this.pendingDispatchNumber*2,this.queryResolveBuffer,0),t=this.device.createBuffer({size:this.pendingDispatchNumber*2*8,usage:GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST}),this.pendingQueries.set(t,this.pendingKernels),this.pendingKernels=[],this.commandEncoder.copyBufferToBuffer(this.queryResolveBuffer,0,t,0,this.pendingDispatchNumber*2*8)),this.device.queue.submit([this.commandEncoder.finish()]),this.gpuDataManager.refreshPendingBuffers(),this.commandEncoder=null,this.pendingDispatchNumber=0,this.queryType!=="none"&&t.mapAsync(GPUMapMode.READ).then(()=>{let r=new BigUint64Array(t.getMappedRange()),o=this.pendingQueries.get(t);for(let i=0;i"u"&&(this.queryTimeBase=_);let S=Number(_-this.queryTimeBase),A=Number(v-this.queryTimeBase);if(!Number.isSafeInteger(S)||!Number.isSafeInteger(A))throw new RangeError("incorrect timestamp range");if(this.env.webgpu.profiling?.ondata)this.env.webgpu.profiling.ondata({version:1,inputsMetadata:y.map(I=>({dims:I.dims,dataType:Gt(I.dataType)})),outputsMetadata:w.map(I=>({dims:I.dims,dataType:Gt(I.dataType)})),kernelId:a,kernelType:p,kernelName:h,programName:d,startTime:S,endTime:A});else{let I="";y.forEach((E,P)=>{I+=`input[${P}]: [${E.dims}] | ${Gt(E.dataType)}, `});let x="";w.forEach((E,P)=>{x+=`output[${P}]: [${E.dims}] | ${Gt(E.dataType)}, `}),console.log(`[profiling] kernel "${a}|${p}|${h}|${d}" ${I}${x}execution time: ${A-S} ns`)}wo("GPU",`${d}::${_}::${v}`)}t.unmap(),this.pendingQueries.delete(t)}),Ht()}run(t,r,o,i,u,a){rr(t.name);let c=[];for(let E=0;EP):o;if(y.length!==p.length)throw new Error(`Output size ${y.length} must be equal to ${p.length}.`);let w=[],_=[];for(let E=0;E=a)throw new Error(`Invalid output index: ${y[E]}`);if(y[E]===-3)continue;let P=y[E]===-1,O=y[E]===-2,R=P||O?u(p[E].dataType,p[E].dims):i(y[E],p[E].dataType,p[E].dims);if(w.push(R),R.data===0)continue;let L=this.gpuDataManager.get(R.data);if(!L)throw new Error(`no GPU data for output: ${R.data}`);if(P&&this.temporaryData.push(L),O){let N=this.kernelPersistentData.get(this.currentKernelId);N||(N=[],this.kernelPersistentData.set(this.currentKernelId,N)),N.push(L)}_.push(L)}if(c.length!==r.length||_.length!==w.length){if(_.length===0)return Ht(t.name),w;throw new Error(`Program ${t.name} has zero-sized tensor(s) in inputs or outputs. This is not supported now.`)}let v;if(d){let E=0,P=[];d.forEach(N=>{let K=typeof N.data=="number"?[N.data]:N.data;if(K.length===0)return;let Q=N.type===10?2:4,he,W;N.type===10?(W=K.length>4?16:K.length>2?8:K.length*Q,he=K.length>4?16:Q*K.length):(W=K.length<=2?K.length*Q:16,he=16),E=Math.ceil(E/W)*W,P.push(E);let se=N.type===10?8:4;E+=K.length>4?Math.ceil(K.length/se)*he:K.length*Q});let O=16;E=Math.ceil(E/O)*O;let R=new ArrayBuffer(E);d.forEach((N,K)=>{let Q=P[K],he=typeof N.data=="number"?[N.data]:N.data;if(N.type===6)new Int32Array(R,Q,he.length).set(he);else if(N.type===12)new Uint32Array(R,Q,he.length).set(he);else if(N.type===10)new Uint16Array(R,Q,he.length).set(he);else if(N.type===1)new Float32Array(R,Q,he.length).set(he);else throw new Error(`Unsupported uniform type: ${Gt(N.type)}`)});let L=this.gpuDataManager.create(E,GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM);this.device.queue.writeBuffer(L.buffer,0,R,0,E),this.gpuDataManager.release(L.id),v={offset:0,size:E,buffer:L.buffer}}let S=this.programManager.normalizeDispatchGroupSize(h),A=S[1]===1&&S[2]===1,I=nm(t,r,A),x=this.programManager.getArtifact(I);if(x||(x=this.programManager.build(t,S),this.programManager.setArtifact(I,x),Ve("info",()=>`[artifact] key: ${I}, programName: ${t.name}`)),d&&x.uniformVariablesInfo){if(d.length!==x.uniformVariablesInfo.length)throw new Error(`Uniform variables count mismatch: expect ${x.uniformVariablesInfo.length}, got ${d.length} in program "${x.programInfo.name}".`);for(let E=0;E`[ProgramManager] run "${t.name}" (key=${I}) with ${S[0]}x${S[1]}x${S[2]}`),this.queryType!=="none"||this.sessionStatus==="capturing"){let E={kernelId:this.currentKernelId,programName:x.programInfo.name,inputTensorViews:r,outputTensorViews:w};this.pendingKernels.push(E),this.sessionStatus==="capturing"&&this.capturedPendingKernels.get(this.currentSessionId).push(E)}return this.programManager.run(x,c,_,S,v),Ht(t.name),w}upload(t,r){this.gpuDataManager.upload(t,r)}memcpy(t,r){this.gpuDataManager.memcpy(t,r)}async download(t,r){await this.gpuDataManager.download(t,r)}alloc(t){return this.gpuDataManager.create(t).id}free(t){return this.gpuDataManager.release(t)}createKernel(t,r,o,i){let u=Md.get(t);if(!u)throw new Error(`kernel not implemented: ${t}`);let a={kernelType:t,kernelName:i,kernelEntry:u[0],attributes:[u[1],o]};this.kernels.set(r,a)}releaseKernel(t){let r=this.kernelPersistentData.get(t);if(r){for(let o of r)this.gpuDataManager.release(o.id);this.kernelPersistentData.delete(t)}this.kernelCustomData.delete(t),this.kernels.delete(t)}computeKernel(t,r,o){let i=this.kernels.get(t);if(!i)throw new Error(`kernel not created: ${t}`);let u=i.kernelType,a=i.kernelName,c=i.kernelEntry,p=i.attributes;if(this.currentKernelId!==null)throw new Error(`kernel "[${u}] ${a}" is not allowed to be called recursively`);this.currentKernelId=t,p[0]&&(p[1]=p[0](p[1]),p[0]=void 0),Ve("info",()=>`[WebGPU] Start to run kernel "[${u}] ${a}"...`);let h=this.env.debug;this.temporaryData=[];try{return h&&this.device.pushErrorScope("validation"),c(r,p[1]),0}catch(d){return o.push(Promise.resolve(`[WebGPU] Kernel "[${u}] ${a}" failed. ${d}`)),1}finally{h&&o.push(this.device.popErrorScope().then(d=>d?`GPU validation error for kernel "[${u}] ${a}": ${d.message}`:null));for(let d of this.temporaryData)this.gpuDataManager.release(d.id);this.temporaryData=[],this.currentKernelId=null}}registerBuffer(t,r,o,i){let u=this.sessionExternalDataMapping.get(t);u||(u=new Map,this.sessionExternalDataMapping.set(t,u));let a=u.get(r),c=this.gpuDataManager.registerExternalBuffer(o,i,a?.[1]);return u.set(r,[c,o]),c}unregisterBuffers(t){let r=this.sessionExternalDataMapping.get(t);r&&(r.forEach(o=>this.gpuDataManager.unregisterExternalBuffer(o[1])),this.sessionExternalDataMapping.delete(t))}getBuffer(t){let r=this.gpuDataManager.get(t);if(!r)throw new Error(`no GPU data for buffer: ${t}`);return r.buffer}createDownloader(t,r,o){return async()=>{let i=await xo(this,t,r);return ma(i.buffer,o)}}writeTimestamp(t){this.queryType==="inside-passes"&&this.computePassEncoder.writeTimestamp(this.querySet,t)}setQueryType(){this.queryType="none",(this.env.webgpu.profiling?.mode==="default"||(typeof this.env.trace>"u"?this.env.wasm.trace:this.env.trace))&&(this.device.features.has("chromium-experimental-timestamp-query-inside-passes")?this.queryType="inside-passes":this.device.features.has("timestamp-query")&&(this.queryType="at-passes"),this.queryType!=="none"&&typeof this.querySet>"u"&&(this.querySet=this.device.createQuerySet({type:"timestamp",count:this.maxDispatchNumber*2}),this.queryResolveBuffer=this.device.createBuffer({size:this.maxDispatchNumber*2*8,usage:GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE})))}captureBegin(){Ve("info","captureBegin"),this.capturedCommandList.get(this.currentSessionId)||this.capturedCommandList.set(this.currentSessionId,[]),this.capturedPendingKernels.get(this.currentSessionId)||this.capturedPendingKernels.set(this.currentSessionId,[]),this.flush(),this.sessionStatus="capturing"}captureEnd(){Ve("info","captureEnd"),this.flush(),this.sessionStatus="default"}replay(){Ve("info","replay"),this.sessionStatus="replaying";let t=this.capturedCommandList.get(this.currentSessionId),r=this.capturedPendingKernels.get(this.currentSessionId),o=t.length;this.pendingKernels=[];for(let i=0;i=this.maxDispatchNumber||this.queryType==="at-passes")&&this.endComputePass(),this.pendingDispatchNumber>=this.maxDispatchNumber&&this.flush()}this.flush(),this.sessionStatus="default"}onReleaseSession(t){this.unregisterBuffers(t),this.capturedCommandList.has(t)&&this.capturedCommandList.delete(t),this.capturedPendingKernels.has(t)&&this.capturedPendingKernels.delete(t),this.gpuDataManager.onReleaseSession(t)}onRunStart(t){this.currentSessionId=t,this.setQueryType()}}});var Nd={};gn(Nd,{init:()=>om});var qr,Zo,om,Gd=Y(()=>{"use strict";ye();Wd();Lt();Se();qr=class e{constructor(t,r,o,i){this.module=t;this.dataType=r;this.data=o;this.dims=i}getFloat32Array(){if(this.dataType!==1)throw new Error("Invalid data type");let t=M.size(this.dims);return t===0?new Float32Array:new Float32Array(this.module.HEAP8.buffer,this.data,t)}getBigInt64Array(){if(this.dataType!==7)throw new Error("Invalid data type");let t=M.size(this.dims);return t===0?new BigInt64Array:new BigInt64Array(this.module.HEAP8.buffer,this.data,t)}getInt32Array(){if(this.dataType!==6)throw new Error("Invalid data type");let t=M.size(this.dims);return t===0?new Int32Array:new Int32Array(this.module.HEAP8.buffer,this.data,t)}reshape(t){if(M.size(t)!==M.size(this.dims))throw new Error("Invalid new shape");return new e(this.module,this.dataType,this.data,t)}},Zo=class{constructor(t,r,o){this.module=t;this.backend=r;this.customDataOffset=0;this.customDataSize=0;this.adapterInfo=r.adapterInfo;let i=t.HEAPU32,u=o>>>2;this.opKernelContext=i[u++];let a=i[u++];this.outputCount=i[u++],this.customDataOffset=i[u++],this.customDataSize=i[u++];let c=[];for(let p=0;ptypeof c=="number"?this.inputs[c]:c)??this.inputs,i=r?.outputs??[],u=(c,p,h)=>new qr(this.module,p,this.output(c,h),h),a=(c,p)=>{let h=tr(c);if(!h)throw new Error(`Unsupported data type: ${c}`);let d=h*M.size(p),y=d>0?this.backend.gpuDataManager.create(d).id:0;return new qr(this.module,c,y,p)};return this.backend.run(t,o,i,u,a,this.outputCount)}output(t,r){let o=this.module.stackSave();try{let i=this.module.stackAlloc((1+r.length)*4),u=i>>2;this.module.HEAPU32[u++]=r.length;for(let a=0;a{let i=t.jsepInit;if(!i)throw new Error("Failed to initialize JSEP. The WebAssembly module is not built with JSEP support.");if(e==="webgpu"){let u=new Ln;await u.initialize(r,o),i("webgpu",[u,a=>u.alloc(a),a=>u.free(a),(a,c,p,h=!1)=>{if(h)Ve("verbose",()=>`[WebGPU] jsepCopyGpuToGpu: src=${a}, dst=${c}, size=${p}`),u.memcpy(a,c);else{Ve("verbose",()=>`[WebGPU] jsepCopyCpuToGpu: dataOffset=${a}, gpuDataId=${c}, size=${p}`);let d=t.HEAPU8.subarray(a>>>0,(a>>>0)+p);u.upload(c,d)}},async(a,c,p)=>{Ve("verbose",()=>`[WebGPU] jsepCopyGpuToCpu: gpuDataId=${a}, dataOffset=${c}, size=${p}`),await u.download(a,()=>t.HEAPU8.subarray(c>>>0,(c>>>0)+p))},(a,c,p)=>u.createKernel(a,c,p,t.UTF8ToString(t._JsepGetNodeName(c))),a=>u.releaseKernel(a),(a,c,p,h)=>{Ve("verbose",()=>`[WebGPU] jsepRun: sessionHandle=${p}, kernel=${a}, contextDataOffset=${c}`);let d=new Zo(t,u,c);return u.computeKernel(a,d,h)},()=>u.captureBegin(),()=>u.captureEnd(),()=>u.replay()])}else i("webnn")}});var Vi;Vi=Ei();var pl=zi(),fo,ho=!1,yn=!1,Ui=!1,ml=e=>{if(e===1)return!1;if(typeof SharedArrayBuffer>"u")return typeof self<"u"&&!self.crossOriginIsolated&&console.warn("env.wasm.numThreads is set to "+e+", but this will not work unless you enable crossOriginIsolated mode. See https://web.dev/cross-origin-isolation-guide/ for more info."),!1;typeof process<"u"&&process.versions&&process.versions.node&&console.warn("env.wasm.numThreads is set to "+e+", however, currently onnxruntime-web does not support multi-threads in Node.js. Please consider using onnxruntime-node for performance critical scenarios.");try{return typeof MessageChannel<"u"&&new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch{return!1}},fl=()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,30,1,28,0,65,0,253,15,253,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,253,186,1,26,11]))}catch{return!1}},hl=(e,t)=>e?t?"ort-wasm-simd-threaded.wasm":"ort-wasm-simd.wasm":t?"ort-wasm-threaded.wasm":"ort-wasm.wasm",Wi=async e=>{if(ho)return Promise.resolve();if(yn)throw new Error("multiple calls to \'initializeWebAssembly()\' detected.");if(Ui)throw new Error("previous call to \'initializeWebAssembly()\' failed.");yn=!0;let t=e.initTimeout,r=e.numThreads,o=e.simd,i=ml(r),u=o&&fl(),a=e.wasmPaths,c=typeof a=="string"?a:void 0,p=hl(u,i),h=typeof a=="object"?a[p]:void 0,d=!1,y=[];if(t>0&&y.push(new Promise(w=>{setTimeout(()=>{d=!0,w()},t)})),y.push(new Promise((w,_)=>{let v=i?pl:Vi,S={locateFile:(A,I)=>{if(i&&A.endsWith(".worker.js")&&typeof Blob<"u")return URL.createObjectURL(new Blob([Mi()],{type:"text/javascript"}));if(A.endsWith(".wasm")){if(h)return h;let x=c??I;return p==="ort-wasm-simd.wasm"?x+"ort-wasm-simd.jsep.wasm":p==="ort-wasm-simd-threaded.wasm"?x+"ort-wasm-simd-threaded.jsep.wasm":x+p}return I+A}};if(i)if(S.numThreads=r,typeof Blob>"u")S.mainScriptUrlOrBlob=(void 0)(__dirname,"ort-wasm-threaded.js");else{let A=`var ortWasmThreaded=${v.toString()};`;S.mainScriptUrlOrBlob=new Blob([A],{type:"text/javascript"})}v(S).then(A=>{yn=!1,ho=!0,fo=A,w()},A=>{yn=!1,Ui=!0,_(A)})})),await Promise.race(y),d)throw new Error(`WebAssembly backend initializing failed due to timeout: ${t}ms`)},Le=()=>{if(ho&&fo)return fo;throw new Error("WebAssembly is not initialized yet.")};var Fe=(e,t)=>{let r=Le(),o=r.lengthBytesUTF8(e)+1,i=r._malloc(o);return r.stringToUTF8(e,i,o),t.push(i),i},Nr=(e,t,r,o)=>{if(typeof e=="object"&&e!==null){if(r.has(e))throw new Error("Circular reference in options");r.add(e)}Object.entries(e).forEach(([i,u])=>{let a=t?t+i:i;if(typeof u=="object")Nr(u,a+".",r,o);else if(typeof u=="string"||typeof u=="number")o(a,u.toString());else if(typeof u=="boolean")o(a,u?"1":"0");else throw new Error(`Can\'t handle extra config type: ${typeof u}`)})},Ue=e=>{let t=Le(),r=t.stackSave();try{let o=t.stackAlloc(8);t._OrtGetLastError(o,o+4);let i=t.HEAP32[o/4],u=t.HEAPU32[o/4+1],a=u?t.UTF8ToString(u):"";throw new Error(`${e} ERROR_CODE: ${i}, ERROR_MESSAGE: ${a}`)}finally{t.stackRestore(r)}};var Ni=e=>{let t=Le(),r=0,o=[],i=e||{};try{if(e?.logSeverityLevel===void 0)i.logSeverityLevel=2;else if(typeof e.logSeverityLevel!="number"||!Number.isInteger(e.logSeverityLevel)||e.logSeverityLevel<0||e.logSeverityLevel>4)throw new Error(`log serverity level is not valid: ${e.logSeverityLevel}`);if(e?.logVerbosityLevel===void 0)i.logVerbosityLevel=0;else if(typeof e.logVerbosityLevel!="number"||!Number.isInteger(e.logVerbosityLevel))throw new Error(`log verbosity level is not valid: ${e.logVerbosityLevel}`);e?.terminate===void 0&&(i.terminate=!1);let u=0;return e?.tag!==void 0&&(u=Fe(e.tag,o)),r=t._OrtCreateRunOptions(i.logSeverityLevel,i.logVerbosityLevel,!!i.terminate,u),r===0&&Ue("Can\'t create run options."),e?.extra!==void 0&&Nr(e.extra,"",new WeakSet,(a,c)=>{let p=Fe(a,o),h=Fe(c,o);t._OrtAddRunConfigEntry(r,p,h)!==0&&Ue(`Can\'t set a run config entry: ${a} - ${c}.`)}),[r,o]}catch(u){throw r!==0&&t._OrtReleaseRunOptions(r),o.forEach(a=>t._free(a)),u}};var gl=e=>{switch(e){case"disabled":return 0;case"basic":return 1;case"extended":return 2;case"all":return 99;default:throw new Error(`unsupported graph optimization level: ${e}`)}},yl=e=>{switch(e){case"sequential":return 0;case"parallel":return 1;default:throw new Error(`unsupported execution mode: ${e}`)}},bl=e=>{e.extra||(e.extra={}),e.extra.session||(e.extra.session={});let t=e.extra.session;t.use_ort_model_bytes_directly||(t.use_ort_model_bytes_directly="1"),e.executionProviders&&e.executionProviders.some(r=>(typeof r=="string"?r:r.name)==="webgpu")&&(e.enableMemPattern=!1)},wl=(e,t,r)=>{for(let o of t){let i=typeof o=="string"?o:o.name;switch(i){case"webnn":if(i="WEBNN",typeof o!="string"){let a=o;if(a?.deviceType){let c=Fe("deviceType",r),p=Fe(a.deviceType,r);Le()._OrtAddSessionConfigEntry(e,c,p)!==0&&Ue(`Can\'t set a session config entry: \'deviceType\' - ${a.deviceType}.`)}if(a?.numThreads){let c=a.numThreads;(typeof c!="number"||!Number.isInteger(c)||c<0)&&(c=0);let p=Fe("numThreads",r),h=Fe(c.toString(),r);Le()._OrtAddSessionConfigEntry(e,p,h)!==0&&Ue(`Can\'t set a session config entry: \'numThreads\' - ${a.numThreads}.`)}if(a?.powerPreference){let c=Fe("powerPreference",r),p=Fe(a.powerPreference,r);Le()._OrtAddSessionConfigEntry(e,c,p)!==0&&Ue(`Can\'t set a session config entry: \'powerPreference\' - ${a.powerPreference}.`)}}break;case"webgpu":if(i="JS",typeof o!="string"){let a=o;if(a?.preferredLayout){if(a.preferredLayout!=="NCHW"&&a.preferredLayout!=="NHWC")throw new Error(`preferredLayout must be either \'NCHW\' or \'NHWC\': ${a.preferredLayout}`);let c=Fe("preferredLayout",r),p=Fe(a.preferredLayout,r);Le()._OrtAddSessionConfigEntry(e,c,p)!==0&&Ue(`Can\'t set a session config entry: \'preferredLayout\' - ${a.preferredLayout}.`)}}break;case"wasm":case"cpu":continue;default:throw new Error(`not supported execution provider: ${i}`)}let u=Fe(i,r);Le()._OrtAppendExecutionProvider(e,u)!==0&&Ue(`Can\'t append execution provider: ${i}.`)}},Gi=e=>{let t=Le(),r=0,o=[],i=e||{};bl(i);try{let u=gl(i.graphOptimizationLevel??"all"),a=yl(i.executionMode??"sequential"),c=typeof i.logId=="string"?Fe(i.logId,o):0,p=i.logSeverityLevel??2;if(!Number.isInteger(p)||p<0||p>4)throw new Error(`log serverity level is not valid: ${p}`);let h=i.logVerbosityLevel??0;if(!Number.isInteger(h)||h<0||h>4)throw new Error(`log verbosity level is not valid: ${h}`);let d=typeof i.optimizedModelFilePath=="string"?Fe(i.optimizedModelFilePath,o):0;if(r=t._OrtCreateSessionOptions(u,!!i.enableCpuMemArena,!!i.enableMemPattern,a,!!i.enableProfiling,0,c,p,h,d),r===0&&Ue("Can\'t create session options."),i.executionProviders&&wl(r,i.executionProviders,o),i.enableGraphCapture!==void 0){if(typeof i.enableGraphCapture!="boolean")throw new Error(`enableGraphCapture must be a boolean value: ${i.enableGraphCapture}`);let y=Fe("enableGraphCapture",o),w=Fe(i.enableGraphCapture.toString(),o);t._OrtAddSessionConfigEntry(r,y,w)!==0&&Ue(`Can\'t set a session config entry: \'enableGraphCapture\' - ${i.enableGraphCapture}.`)}if(i.freeDimensionOverrides)for(let[y,w]of Object.entries(i.freeDimensionOverrides)){if(typeof y!="string")throw new Error(`free dimension override name must be a string: ${y}`);if(typeof w!="number"||!Number.isInteger(w)||w<0)throw new Error(`free dimension override value must be a non-negative integer: ${w}`);let _=Fe(y,o);t._OrtAddFreeDimensionOverride(r,_,w)!==0&&Ue(`Can\'t set a free dimension override: ${y} - ${w}.`)}return i.extra!==void 0&&Nr(i.extra,"",new WeakSet,(y,w)=>{let _=Fe(y,o),v=Fe(w,o);t._OrtAddSessionConfigEntry(r,_,v)!==0&&Ue(`Can\'t set a session config entry: ${y} - ${w}.`)}),[r,o]}catch(u){throw r!==0&&t._OrtReleaseSessionOptions(r),o.forEach(a=>t._free(a)),u}};ye();var Li=async e=>{if(typeof e=="string")if(typeof process<"u"&&process.versions&&process.versions.node)try{return new Uint8Array(await(void 0)(e))}catch(t){if(t.code==="ERR_FS_FILE_TOO_LARGE"){let r=(void 0)(e),o=[];for await(let i of r)o.push(i);return new Uint8Array(Buffer.concat(o))}throw t}else{let t=await fetch(e);if(!t.ok)throw new Error(`failed to load external data file: ${e}`);let r=t.headers.get("Content-Length"),o=r?parseInt(r,10):0;if(o<1073741824)return new Uint8Array(await t.arrayBuffer());{if(!t.body)throw new Error(`failed to load external data file: ${e}, no response body.`);let i=t.body.getReader(),u;try{u=new ArrayBuffer(o)}catch(c){if(c instanceof RangeError){let p=Math.ceil(o/65536);u=new WebAssembly.Memory({initial:p,maximum:p}).buffer}else throw c}let a=0;for(;;){let{done:c,value:p}=await i.read();if(c)break;let h=p.byteLength;new Uint8Array(u,a,h).set(p),a+=h}return new Uint8Array(u,0,o)}}else return e instanceof Blob?new Uint8Array(await e.arrayBuffer()):e instanceof Uint8Array?e:new Uint8Array(e)};var im=(e,t)=>{Le()._OrtInit(e,t)!==0&&Ue("Can\'t initialize onnxruntime.")},Ld=async e=>{im(e.wasm.numThreads,Gr(e.logLevel))},Fd=async(e,t)=>{{let r=(Gd(),wr(Nd)).init;if(t==="webgpu"){if(typeof navigator>"u"||!navigator.gpu)throw new Error("WebGPU is not supported in current environment");let o=e.webgpu.adapter;if(o){if(typeof o.limits!="object"||typeof o.features!="object"||typeof o.requestDevice!="function")throw new Error("Invalid GPU adapter set in `env.webgpu.adapter`. It must be a GPUAdapter object.")}else{let i=e.webgpu.powerPreference;if(i!==void 0&&i!=="low-power"&&i!=="high-performance")throw new Error(`Invalid powerPreference setting: "${i}"`);let u=e.webgpu.forceFallbackAdapter;if(u!==void 0&&typeof u!="boolean")throw new Error(`Invalid forceFallbackAdapter setting: "${u}"`);if(o=await navigator.gpu.requestAdapter({powerPreference:i,forceFallbackAdapter:u}),!o)throw new Error(\'Failed to get GPU adapter. You may need to enable flag "--enable-unsafe-webgpu" if you are using Chrome.\')}if(!e.wasm.simd)throw new Error("Not supported for WebGPU=ON and SIMD=OFF. Please set `env.wasm.simd` to true when using `webgpu` EP");await r("webgpu",Le(),e,o)}if(t==="webnn"){if(typeof navigator>"u"||!navigator.ml)throw new Error("WebNN is not supported in current environment");await r("webnn",Le(),e)}}},ar=new Map,am=e=>{let t=Le(),r=t.stackSave();try{let o=t.stackAlloc(8);return t._OrtGetInputOutputCount(e,o,o+4)!==0&&Ue("Can\'t get session input/output count."),[t.HEAP32[o/4],t.HEAP32[o/4+1]]}finally{t.stackRestore(r)}},Xo=e=>{let t=Le(),r=t._malloc(e.byteLength);if(r===0)throw new Error(`Can\'t create a session. failed to allocate a buffer of size ${e.byteLength}.`);return t.HEAPU8.set(e,r),[r,e.byteLength]},qd=async(e,t)=>{let r,o,i=Le();Array.isArray(e)?[r,o]=e:e.buffer===i.HEAPU8.buffer?[r,o]=[e.byteOffset,e.byteLength]:[r,o]=Xo(e);let u=0,a=0,c=0,p=[],h=[],d=[];try{if([a,p]=Gi(t),t?.externalData&&i.mountExternalData){let x=[];for(let E of t.externalData){let P=typeof E=="string"?E:E.path;x.push(Li(typeof E=="string"?E:E.data).then(O=>{i.mountExternalData(P,O)}))}await Promise.all(x)}u=await i._OrtCreateSession(r,o,a),u===0&&Ue("Can\'t create a session.");let[y,w]=am(u),_=!!t?.enableGraphCapture,v=[],S=[],A=[];for(let x=0;xx==="gpu-buffer")&&(c=i._OrtCreateBinding(u),c===0&&Ue("Can\'t create IO binding."),I={handle:c,outputPreferredLocations:A,outputPreferredLocationsEncoded:A.map(x=>yo(x))}),ar.set(u,[u,h,d,I,_,!1]),[u,v,S]}catch(y){throw h.forEach(w=>i._OrtFree(w)),d.forEach(w=>i._OrtFree(w)),c!==0&&i._OrtReleaseBinding(c),u!==0&&i._OrtReleaseSession(u),y}finally{i._free(r),a!==0&&i._OrtReleaseSessionOptions(a),p.forEach(y=>i._free(y)),i.unmountExternalData?.()}},jd=e=>{let t=Le(),r=ar.get(e);if(!r)throw new Error(`cannot release session. invalid session id: ${e}`);let[o,i,u,a,c]=r;a&&(c&&t._OrtClearBoundOutputs(a.handle),t._OrtReleaseBinding(a.handle)),t.jsepOnReleaseSession?.(e),i.forEach(p=>t._OrtFree(p)),u.forEach(p=>t._OrtFree(p)),t._OrtReleaseSession(o),ar.delete(e)},Hd=(e,t,r,o,i,u=!1)=>{if(!e){t.push(0);return}let a=Le(),c=e[0],p=e[1],h=e[3],d,y;if(c==="string"&&h==="gpu-buffer")throw new Error("String tensor is not supported on GPU.");if(u&&h!=="gpu-buffer")throw new Error(`External buffer must be provided for input/output index ${i} when enableGraphCapture is true.`);if(h==="gpu-buffer"){let v=e[2].gpuBuffer,S=tr(go(c));y=p.reduce((I,x)=>I*x,1)*S;let A=a.jsepRegisterBuffer;if(!A)throw new Error(\'Tensor location "gpu-buffer" is not supported without using WebGPU.\');d=A(o,i,v,y)}else{let v=e[2];if(Array.isArray(v)){y=4*v.length,d=a._malloc(y),r.push(d);let S=d/4;for(let A=0;Aa.HEAP32[v++]=A);let S=a._OrtCreateTensor(go(c),d,y,_,p.length,yo(h));S===0&&Ue(`Can\'t create tensor for input/output. session=${o}, index=${i}.`),t.push(S)}finally{a.stackRestore(w)}},Kd=async(e,t,r,o,i,u)=>{let a=Le(),c=ar.get(e);if(!c)throw new Error(`cannot run inference. invalid session id: ${e}`);let p=c[0],h=c[1],d=c[2],y=c[3],w=c[4],_=c[5],v=t.length,S=o.length,A=0,I=[],x=[],E=[],P=[],O=a.stackSave(),R=a.stackAlloc(v*4),L=a.stackAlloc(v*4),N=a.stackAlloc(S*4),K=a.stackAlloc(S*4);try{[A,I]=Ni(u);for(let ee=0;eeNe*Ye,1);ue=Gt(ne);let Ut=y?.outputPreferredLocations[o[ee]];if(ue==="string"){if(Ut==="gpu-buffer")throw new Error("String tensor is not supported on GPU.");let Ne=[],Ye=le/4;for(let mt=0;mt0){let Ne=a.jsepGetBuffer;if(!Ne)throw new Error(\'preferredLocation "gpu-buffer" is not supported without using WebGPU.\');let Ye=Ne(le),mt=tr(ne);if(mt===void 0||!Hi(ue))throw new Error(`Unsupported data type: ${ue}`);ie=!0,We.push([ue,Be,{gpuBuffer:Ye,download:a.jsepCreateDownloader(Ye,Ge*mt,ue),dispose:()=>{a._OrtReleaseTensor(ae)}},"gpu-buffer"])}else{let Ne=bn(ue),Ye=new Ne(Ge);new Uint8Array(Ye.buffer,Ye.byteOffset,Ye.byteLength).set(a.HEAPU8.subarray(le,le+Ye.byteLength)),We.push([ue,Be,Ye,"cpu"])}}finally{a.stackRestore(Ae),ue==="string"&&le&&a._free(le),ie||a._OrtReleaseTensor(ae)}}return y&&!w&&(a._OrtClearBoundOutputs(y.handle),ar.set(e,[p,h,d,y,w,!1])),We}finally{a.stackRestore(O),x.forEach(Q=>a._OrtReleaseTensor(Q)),E.forEach(Q=>a._OrtReleaseTensor(Q)),P.forEach(Q=>a._free(Q)),A!==0&&a._OrtReleaseRunOptions(A),I.forEach(Q=>a._free(Q))}},Yd=e=>{let t=Le(),r=ar.get(e);if(!r)throw new Error("invalid session id");let o=r[0],i=t._OrtEndProfiling(o);i===0&&Ue("Can\'t get an profile file name."),t._OrtFree(i)},Zd=e=>{let t=[];for(let r of e){let o=r[2];!Array.isArray(o)&&"buffer"in o&&t.push(o.buffer)}return t};self.onmessage=e=>{let{type:t,in:r}=e.data;try{switch(t){case"init-wasm":Wi(r.wasm).then(()=>{Ld(r).then(()=>{postMessage({type:t})},o=>{postMessage({type:t,err:o})})},o=>{postMessage({type:t,err:o})});break;case"init-ep":{let{epName:o,env:i}=r;Fd(i,o).then(()=>{postMessage({type:t})},u=>{postMessage({type:t,err:u})});break}case"copy-from":{let{buffer:o}=r,i=Xo(o);postMessage({type:t,out:i});break}case"create":{let{model:o,options:i}=r;qd(o,i).then(u=>{postMessage({type:t,out:u})},u=>{postMessage({type:t,err:u})});break}case"release":jd(r),postMessage({type:t});break;case"run":{let{sessionId:o,inputIndices:i,inputs:u,outputIndices:a,options:c}=r;Kd(o,i,u,a,new Array(a.length).fill(null),c).then(p=>{p.some(h=>h[3]!=="cpu")?postMessage({type:t,err:"Proxy does not support non-cpu tensor location."}):postMessage({type:t,out:p},Zd([...u,...p]))},p=>{postMessage({type:t,err:p})});break}case"end-profiling":Yd(r),postMessage({type:t});break;default:}}catch(o){postMessage({type:t,err:o})}};})();\n/**\n * @license\n * Copyright 2021 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the "License");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an "AS IS" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the "License");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an "AS IS" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the "License");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an "AS IS" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n'}),Rr,Ct,wn,ta,ra,Mo,$i,Xr,Qr,Wf,na,Vf,Gf,Hf,jf,qf,Kf,Yf,Xf=ee(()=>{var t;Yt(),Mw(),Kn(),Rr=()=>!!Ue.wasm.proxy&&typeof document<"u",wn=!1,ta=!1,ra=!1,$i=new Map,Xr=(e,r)=>{let n=$i.get(e);n?n.push(r):$i.set(e,[r])},Qr=()=>{if(wn||!ta||ra||!Ct)throw new Error("worker not ready")},Wf=e=>{switch(e.data.type){case"init-wasm":wn=!1,e.data.err?(ra=!0,Mo[1](e.data.err)):(ta=!0,Mo[0]());break;case"init-ep":case"copy-from":case"create":case"release":case"run":case"end-profiling":{let r=$i.get(e.data.type);e.data.err?r.shift()[1](e.data.err):r.shift()[0](e.data.out);break}}},na=typeof document<"u"?(t=document==null?void 0:document.currentScript)==null?void 0:t.src:void 0,Vf=async()=>{if(!ta){if(wn)throw new Error("multiple calls to 'initWasm()' detected.");if(ra)throw new Error("previous call to 'initWasm()' failed.");if(wn=!0,Rr())return Ue.wasm.wasmPaths===void 0&&na&&na.indexOf("blob:")!==0&&(Ue.wasm.wasmPaths=na.substr(0,+na.lastIndexOf("/")+1)),new Promise((e,r)=>{Ct==null||Ct.terminate();let n=URL.createObjectURL(new Blob([Ow()],{type:"text/javascript"}));Ct=new Worker(n,{name:"ort-wasm-proxy-worker"}),Ct.onerror=s=>r(s),Ct.onmessage=Wf,URL.revokeObjectURL(n),Mo=[e,r];let a={type:"init-wasm",in:Ue};Ct.postMessage(a)});try{await il(Ue.wasm),await Rf(Ue),ta=!0}catch(e){throw ra=!0,e}finally{wn=!1}}},Gf=async e=>{if(Rr())return Qr(),new Promise((r,n)=>{Xr("init-ep",[r,n]);let a={type:"init-ep",in:{epName:e,env:Ue}};Ct.postMessage(a)});await Pf(Ue,e)},Hf=async e=>Rr()?(Qr(),new Promise((r,n)=>{Xr("copy-from",[r,n]);let a={type:"copy-from",in:{buffer:e}};Ct.postMessage(a,[e.buffer])})):Io(e),jf=async(e,r)=>{if(Rr()){if(r!=null&&r.preferredOutputLocation)throw new Error('session option "preferredOutputLocation" is not supported for proxy.');return Qr(),new Promise((n,a)=>{Xr("create",[n,a]);let s={type:"create",in:{model:e,options:{...r}}},i=[];e instanceof Uint8Array&&i.push(e.buffer),Ct.postMessage(s,i)})}else return Df(e,r)},qf=async e=>{if(Rr())return Qr(),new Promise((r,n)=>{Xr("release",[r,n]);let a={type:"release",in:e};Ct.postMessage(a)});Nf(e)},Kf=async(e,r,n,a,s,i)=>{if(Rr()){if(n.some(o=>o[3]!=="cpu"))throw new Error("input tensor on GPU is not supported for proxy.");if(s.some(o=>o))throw new Error("pre-allocated output tensor is not supported for proxy.");return Qr(),new Promise((o,u)=>{Xr("run",[o,u]);let l=n,c={type:"run",in:{sessionId:e,inputIndices:r,inputs:l,outputIndices:a,options:i}};Ct.postMessage(c,Uf(l))})}else return Ff(e,r,n,a,s,i)},Yf=async e=>{if(Rr())return Qr(),new Promise((r,n)=>{Xr("end-profiling",[r,n]);let a={type:"end-profiling",in:e};Ct.postMessage(a)});Lf(e)}}),Oo,Qf,Jf,zw=ee(()=>{Yt(),Xf(),xe(),pl(),Oo=(t,e)=>{switch(t.location){case"cpu":return[t.type,t.dims,t.data,"cpu"];case"gpu-buffer":return[t.type,t.dims,{gpuBuffer:t.gpuBuffer},"gpu-buffer"];default:throw new Error(`invalid data location: ${t.location} for ${e()}`)}},Qf=t=>{switch(t[3]){case"cpu":return new vt(t[0],t[2],t[1]);case"gpu-buffer":{let e=t[0];if(!Bs(e))throw new Error(`not supported data type: ${e} for deserializing GPU tensor`);let{gpuBuffer:r,download:n,dispose:a}=t[2];return vt.fromGpuBuffer(r,{dataType:e,dims:t[1],download:n,dispose:a})}default:throw new Error(`invalid data location: ${t[3]}`)}},Jf=class{async fetchModelAndCopyToWasmMemory(t){return Hf(await ni(t))}async loadModel(t,e){Kt();let r;typeof t=="string"?typeof process<"u"&&process.versions&&process.versions.node?r=await ni(t):r=await this.fetchModelAndCopyToWasmMemory(t):r=t,[this.sessionId,this.inputNames,this.outputNames]=await jf(r,e),Wt()}async dispose(){return qf(this.sessionId)}async run(t,e,r){Kt();let n=[],a=[];Object.entries(t).forEach(h=>{let m=h[0],_=h[1],p=this.inputNames.indexOf(m);if(p===-1)throw new Error(`invalid input '${m}'`);n.push(_),a.push(p)});let s=[],i=[];Object.entries(e).forEach(h=>{let m=h[0],_=h[1],p=this.outputNames.indexOf(m);if(p===-1)throw new Error(`invalid output '${m}'`);s.push(_),i.push(p)});let o=n.map((h,m)=>Oo(h,()=>`input "${this.inputNames[a[m]]}"`)),u=s.map((h,m)=>h?Oo(h,()=>`output "${this.outputNames[i[m]]}"`):null),l=await Kf(this.sessionId,a,o,i,u,r),c={};for(let h=0;h{Yt(),Xf(),zw(),Zf=()=>{if((typeof Ue.wasm.initTimeout!="number"||Ue.wasm.initTimeout<0)&&(Ue.wasm.initTimeout=0),typeof Ue.wasm.simd!="boolean"&&(Ue.wasm.simd=!0),typeof Ue.wasm.proxy!="boolean"&&(Ue.wasm.proxy=!1),typeof Ue.wasm.trace!="boolean"&&(Ue.wasm.trace=!1),typeof Ue.wasm.numThreads!="number"||!Number.isInteger(Ue.wasm.numThreads)||Ue.wasm.numThreads<=0){(typeof self<"u"&&!self.crossOriginIsolated||typeof process<"u"&&process.versions&&process.versions.node)&&(Ue.wasm.numThreads=1);let t=typeof navigator>"u"?(void 0)().length:navigator.hardwareConcurrency;Ue.wasm.numThreads=Math.min(4,Math.ceil((t||1)/2))}},em=class{async init(t){Zf(),await Vf(),await Gf(t)}async createInferenceSessionHandler(t,e){let r=new Jf;return await r.loadModel(t,e),Promise.resolve(r)}}}),tm={};fn(tm,{wasmBackend:()=>rm});var rm,Pw=ee(()=>{Rw(),rm=new em});Yt(),Yt(),Yt();var Bw="1.18.0",Dw=Hu;{let t=(Pw(),Ur(tm)).wasmBackend;Wr("webgpu",t,5),Wr("webnn",t,5),Wr("cpu",t,10),Wr("wasm",t,10)}Object.defineProperty(Ue.versions,"web",{value:Bw,enumerable:!0});/** +* @license +* Copyright 2021 Google LLC. All Rights Reserved. +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================================= +*//** + * @license + * Copyright 2020 Google LLC. All Rights Reserved. + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ============================================================================= + *//** + * @license + * Copyright 2019 Google LLC. All Rights Reserved. + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ============================================================================= + */var Nw=Object.freeze({__proto__:null,get InferenceSession(){return Cs},get TRACE(){return jn},get TRACE_FUNC_BEGIN(){return Kt},get TRACE_FUNC_END(){return Wt},get Tensor(){return vt},get TrainingSession(){return Ts},default:Dw,get env(){return Ue},get registerBackend(){return Wr}});const Fw=(t,e)=>{const r=typeof document<"u"?document.createElement("canvas"):new OffscreenCanvas(1,1);r.width=t.dims[3],r.height=t.dims[2];const n=r.getContext("2d");if(n!=null){let a,s;(e==null?void 0:e.tensorLayout)!==void 0&&e.tensorLayout==="NHWC"?(a=t.dims[2],s=t.dims[3]):(a=t.dims[3],s=t.dims[2]);const i=(e==null?void 0:e.format)!==void 0?e.format:"RGB",o=e==null?void 0:e.norm;let u,l;o===void 0||o.mean===void 0?u=[255,255,255,255]:typeof o.mean=="number"?u=[o.mean,o.mean,o.mean,o.mean]:(u=[o.mean[0],o.mean[1],o.mean[2],0],o.mean[3]!==void 0&&(u[3]=o.mean[3])),o===void 0||o.bias===void 0?l=[0,0,0,0]:typeof o.bias=="number"?l=[o.bias,o.bias,o.bias,o.bias]:(l=[o.bias[0],o.bias[1],o.bias[2],0],o.bias[3]!==void 0&&(l[3]=o.bias[3]));const c=s*a;let h=0,m=c,_=c*2,p=-1;i==="RGBA"?(h=0,m=c,_=c*2,p=c*3):i==="RGB"?(h=0,m=c,_=c*2):i==="RBG"&&(h=0,_=c,m=c*2);for(let y=0;y{const r=typeof document<"u"?document.createElement("canvas").getContext("2d"):new OffscreenCanvas(1,1).getContext("2d");let n;if(r!=null){let a,s,i;(e==null?void 0:e.tensorLayout)!==void 0&&e.tensorLayout==="NHWC"?(a=t.dims[2],s=t.dims[1],i=t.dims[3]):(a=t.dims[3],s=t.dims[2],i=t.dims[1]);const o=e!==void 0&&e.format!==void 0?e.format:"RGB",u=e==null?void 0:e.norm;let l,c;u===void 0||u.mean===void 0?l=[255,255,255,255]:typeof u.mean=="number"?l=[u.mean,u.mean,u.mean,u.mean]:(l=[u.mean[0],u.mean[1],u.mean[2],255],u.mean[3]!==void 0&&(l[3]=u.mean[3])),u===void 0||u.bias===void 0?c=[0,0,0,0]:typeof u.bias=="number"?c=[u.bias,u.bias,u.bias,u.bias]:(c=[u.bias[0],u.bias[1],u.bias[2],0],u.bias[3]!==void 0&&(c[3]=u.bias[3]));const h=s*a;if(e!==void 0&&(e.format!==void 0&&i===4&&e.format!=="RGBA"||i===3&&e.format!=="RGB"&&e.format!=="BGR"))throw new Error("Tensor format doesn't match input tensor dims");const m=4;let _=0,p=1,y=2,v=3,S=0,x=h,C=h*2,T=-1;o==="RGBA"?(S=0,x=h,C=h*2,T=h*3):o==="RGB"?(S=0,x=h,C=h*2):o==="RBG"&&(S=0,C=h,x=h*2),n=r.createImageData(a,s);for(let I=0;I{if(t===void 0)throw new Error("Image buffer must be defined");if(e.height===void 0||e.width===void 0)throw new Error("Image height and width must be defined");if(e.tensorLayout==="NHWC")throw new Error("NHWC Tensor layout is not supported yet");const{height:r,width:n}=e,a=e.norm??{mean:255,bias:0};let s,i;typeof a.mean=="number"?s=[a.mean,a.mean,a.mean,a.mean]:s=[a.mean[0],a.mean[1],a.mean[2],a.mean[3]??255],typeof a.bias=="number"?i=[a.bias,a.bias,a.bias,a.bias]:i=[a.bias[0],a.bias[1],a.bias[2],a.bias[3]??0];const o=e.format!==void 0?e.format:"RGBA",u=e.tensorFormat!==void 0&&e.tensorFormat!==void 0?e.tensorFormat:"RGB",l=r*n,c=u==="RGBA"?new Float32Array(l*4):new Float32Array(l*3);let h=4,m=0,_=1,p=2,y=3,v=0,S=l,x=l*2,C=-1;o==="RGB"&&(h=3,m=0,_=1,p=2,y=-1),u==="RGBA"?C=l*3:u==="RBG"?(v=0,x=l,S=l*2):u==="BGR"&&(x=0,S=l,v=l*2);for(let I=0;I{const r=typeof HTMLImageElement<"u"&&t instanceof HTMLImageElement,n=typeof ImageData<"u"&&t instanceof ImageData,a=typeof ImageBitmap<"u"&&t instanceof ImageBitmap,s=typeof t=="string";let i,o=e??{};const u=()=>{if(typeof document<"u")return document.createElement("canvas");if(typeof OffscreenCanvas<"u")return new OffscreenCanvas(1,1);throw new Error("Canvas is not supported")},l=c=>c instanceof HTMLCanvasElement||c instanceof OffscreenCanvas?c.getContext("2d"):null;if(r){const c=u();c.width=t.width,c.height=t.height;const h=l(c);if(h!=null){let m=t.height,_=t.width;if(e!==void 0&&e.resizedHeight!==void 0&&e.resizedWidth!==void 0&&(m=e.resizedHeight,_=e.resizedWidth),e!==void 0){if(o=e,e.tensorFormat!==void 0)throw new Error("Image input config format must be RGBA for HTMLImageElement");o.tensorFormat="RGBA",o.height=m,o.width=_}else o.tensorFormat="RGBA",o.height=m,o.width=_;h.drawImage(t,0,0),i=h.getImageData(0,0,_,m).data}else throw new Error("Can not access image data")}else if(n){let c,h;if(e!==void 0&&e.resizedWidth!==void 0&&e.resizedHeight!==void 0?(c=e.resizedHeight,h=e.resizedWidth):(c=t.height,h=t.width),e!==void 0&&(o=e),o.format="RGBA",o.height=c,o.width=h,e!==void 0){const m=u();m.width=h,m.height=c;const _=l(m);if(_!=null)_.putImageData(t,0,0),i=_.getImageData(0,0,h,c).data;else throw new Error("Can not access image data")}else i=t.data}else if(a){if(e===void 0)throw new Error("Please provide image config with format for Imagebitmap");const c=u();c.width=t.width,c.height=t.height;const h=l(c);if(h!=null){const m=t.height,_=t.width;return h.drawImage(t,0,0,_,m),i=h.getImageData(0,0,_,m).data,o.height=m,o.width=_,zo(i,o)}else throw new Error("Can not access image data")}else{if(s)return new Promise((c,h)=>{const m=u(),_=l(m);if(!t||!_)return h();const p=new Image;p.crossOrigin="Anonymous",p.src=t,p.onload=()=>{m.width=p.width,m.height=p.height,_.drawImage(p,0,0,m.width,m.height);const y=_.getImageData(0,0,m.width,m.height);o.height=m.height,o.width=m.width,c(zo(y.data,o))}});throw new Error("Input data provided is not supported - aborted tensor creation")}if(i!==void 0)return zo(i,o);throw new Error("Input data provided is not supported - aborted tensor creation")},Ww=(t,e)=>{const{width:r,height:n,download:a,dispose:s}=e,i=[1,n,r,4];return new lr({location:"texture",type:"float32",texture:t,dims:i,download:a,dispose:s})},Vw=(t,e)=>{const{dataType:r,dims:n,download:a,dispose:s}=e;return new lr({location:"gpu-buffer",type:r??"float32",gpuBuffer:t,dims:n,download:a,dispose:s})},Gw=(t,e,r)=>new lr({location:"cpu-pinned",type:t,data:e,dims:r??[e.length]}),yn=new Map([["float32",Float32Array],["uint8",Uint8Array],["int8",Int8Array],["uint16",Uint16Array],["int16",Int16Array],["int32",Int32Array],["bool",Uint8Array],["float64",Float64Array],["uint32",Uint32Array]]),xi=new Map([[Float32Array,"float32"],[Uint8Array,"uint8"],[Int8Array,"int8"],[Uint16Array,"uint16"],[Int16Array,"int16"],[Int32Array,"int32"],[Float64Array,"float64"],[Uint32Array,"uint32"]]);let nm=!1;const Hw=()=>{if(!nm){nm=!0;const t=typeof BigInt64Array<"u"&&BigInt64Array.from,e=typeof BigUint64Array<"u"&&BigUint64Array.from,r=typeof Float16Array<"u"&&Float16Array.from;t&&(yn.set("int64",BigInt64Array),xi.set(BigInt64Array,"int64")),e&&(yn.set("uint64",BigUint64Array),xi.set(BigUint64Array,"uint64")),r?(yn.set("float16",Float16Array),xi.set(Float16Array,"float16")):yn.set("float16",Uint16Array)}},jw=t=>{let e=1;for(let r=0;r{switch(t.location){case"cpu":return new lr(t.type,t.data,e);case"cpu-pinned":return new lr({location:"cpu-pinned",data:t.data,type:t.type,dims:e});case"texture":return new lr({location:"texture",texture:t.texture,type:t.type,dims:e});case"gpu-buffer":return new lr({location:"gpu-buffer",gpuBuffer:t.gpuBuffer,type:t.type,dims:e});default:throw new Error(`tensorReshape: tensor location ${t.location} is not supported`)}};let lr=class{constructor(e,r,n){Hw();let a,s;if(typeof e=="object"&&"location"in e)switch(this.dataLocation=e.location,a=e.type,s=e.dims,e.location){case"cpu-pinned":{const o=yn.get(a);if(!o)throw new TypeError(`unsupported type "${a}" to create tensor from pinned buffer`);if(!(e.data instanceof o))throw new TypeError(`buffer should be of type ${o.name}`);this.cpuData=e.data;break}case"texture":{if(a!=="float32")throw new TypeError(`unsupported type "${a}" to create tensor from texture`);this.gpuTextureData=e.texture,this.downloader=e.download,this.disposer=e.dispose;break}case"gpu-buffer":{if(a!=="float32"&&a!=="float16"&&a!=="int32"&&a!=="int64"&&a!=="uint32"&&a!=="uint8"&&a!=="bool")throw new TypeError(`unsupported type "${a}" to create tensor from gpu buffer`);this.gpuBufferData=e.gpuBuffer,this.downloader=e.download,this.disposer=e.dispose;break}default:throw new Error(`Tensor constructor: unsupported location '${this.dataLocation}'`)}else{let o,u;if(typeof e=="string")if(a=e,u=n,e==="string"){if(!Array.isArray(r))throw new TypeError("A string tensor's data must be a string array.");o=r}else{const l=yn.get(e);if(l===void 0)throw new TypeError(`Unsupported tensor type: ${e}.`);if(Array.isArray(r)){if(e==="float16"&&l===Uint16Array)throw new TypeError("Creating a float16 tensor from number array is not supported. Please use Uint16Array as data.");e==="uint64"||e==="int64"?o=l.from(r,BigInt):o=l.from(r)}else if(r instanceof l)o=r;else throw new TypeError(`A ${a} tensor's data must be type of ${l}`)}else if(u=r,Array.isArray(e)){if(e.length===0)throw new TypeError("Tensor type cannot be inferred from an empty array.");const l=typeof e[0];if(l==="string")a="string",o=e;else if(l==="boolean")a="bool",o=Uint8Array.from(e);else throw new TypeError(`Invalid element type of data array: ${l}.`)}else{const l=xi.get(e.constructor);if(l===void 0)throw new TypeError(`Unsupported type for tensor data: ${e.constructor}.`);a=l,o=e}if(u===void 0)u=[o.length];else if(!Array.isArray(u))throw new TypeError("A tensor's dims must be a number array");s=u,this.cpuData=o,this.dataLocation="cpu"}const i=jw(s);if(this.cpuData&&i!==this.cpuData.length)throw new Error(`Tensor's size(${i}) does not match data length(${this.cpuData.length}).`);this.type=a,this.dims=s,this.size=i}static async fromImage(e,r){return Uw(e,r)}static fromTexture(e,r){return Ww(e,r)}static fromGpuBuffer(e,r){return Vw(e,r)}static fromPinnedBuffer(e,r,n){return Gw(e,r,n)}toDataURL(e){return Fw(this,e)}toImageData(e){return Lw(this,e)}get data(){if(this.ensureValid(),!this.cpuData)throw new Error("The data is not on CPU. Use `getData()` to download GPU data to CPU, or use `texture` or `gpuBuffer` property to access the GPU data directly.");return this.cpuData}get location(){return this.dataLocation}get texture(){if(this.ensureValid(),!this.gpuTextureData)throw new Error("The data is not stored as a WebGL texture.");return this.gpuTextureData}get gpuBuffer(){if(this.ensureValid(),!this.gpuBufferData)throw new Error("The data is not stored as a WebGPU buffer.");return this.gpuBufferData}async getData(e){switch(this.ensureValid(),this.dataLocation){case"cpu":case"cpu-pinned":return this.data;case"texture":case"gpu-buffer":{if(!this.downloader)throw new Error("The current tensor is not created with a specified data downloader.");if(this.isDownloading)throw new Error("The current tensor is being downloaded.");try{this.isDownloading=!0;const r=await this.downloader();return this.downloader=void 0,this.dataLocation="cpu",this.cpuData=r,e&&this.disposer&&(this.disposer(),this.disposer=void 0),r}finally{this.isDownloading=!1}}default:throw new Error(`cannot get data from location: ${this.dataLocation}`)}}dispose(){if(this.isDownloading)throw new Error("The current tensor is being downloaded.");this.disposer&&(this.disposer(),this.disposer=void 0),this.cpuData=void 0,this.gpuTextureData=void 0,this.gpuBufferData=void 0,this.downloader=void 0,this.isDownloading=void 0,this.dataLocation="none"}ensureValid(){if(this.dataLocation==="none")throw new Error("The tensor is disposed.")}reshape(e){if(this.ensureValid(),this.downloader||this.disposer)throw new Error("Cannot reshape a tensor that owns GPU resource.");return qw(this,e)}};const Kw=lr,aa=[];let Ro,Jr;Ir.IS_NODE_ENV?(Jr=Ve??mr,aa.push("cpu"),Ro=["cpu"]):(Jr=Nw,Ir.IS_WEBGPU_AVAILABLE&&aa.push("webgpu"),aa.push("wasm"),Ro=["wasm"]);const Yw=Jr.InferenceSession;function Xw(t){let e=Ro;if(t){if(!aa.includes(t))throw new Error(`Unsupported device: "${t}". Should be one of: ${aa.join(", ")}.`);e=[t]}return e}async function am(t,e){return await Yw.create(t,e)}function im(t){return t instanceof Jr.Tensor}const tr=Jr==null?void 0:Jr.env;tr!=null&&tr.wasm&&(tr.wasm.wasmPaths="https://cdn.jsdelivr.net/npm/onnxruntime-web@1.18.0/dist/",tr.wasm.proxy=!Ir.IS_WEBWORKER_ENV,(typeof crossOriginIsolated>"u"||!crossOriginIsolated)&&(tr.wasm.numThreads=1),typeof navigator<"u"&&/iP(hone|od|ad).+16_4.+AppleWebKit/.test(navigator.userAgent)&&(tr.wasm.simd=!1));function Qw(){var t;return(t=tr==null?void 0:tr.wasm)==null?void 0:t.proxy}yt.backends.onnx=tr;const bn=async(t,e,r)=>{const n=await am(new Uint8Array(t),e);return async a=>{const s=Object.fromEntries(Object.entries(a).map(([o,u])=>[o,u.ort_tensor])),i=await n.run(s);return Array.isArray(r)?r.map(o=>new fe(i[o])):new fe(i[r])}};class ia{static get bilinear_interpolate_4d(){return this._bilinear_interpolate_4d||(this._bilinear_interpolate_4d=bn([8,9,18,0,58,128,1,10,40,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,17,10,4,109,111,100,101,34,6,108,105,110,101,97,114,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,20],this.session_options,"y")),this._bilinear_interpolate_4d}static get bicubic_interpolate_4d(){return this._bicubic_interpolate_4d||(this._bicubic_interpolate_4d=bn([8,9,18,0,58,127,10,39,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,16,10,4,109,111,100,101,34,5,99,117,98,105,99,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,20],this.session_options,"y")),this._bicubic_interpolate_4d}static get matmul(){return this._matmul||(this._matmul=bn([8,9,18,0,58,55,10,17,10,1,97,10,1,98,18,1,99,34,6,77,97,116,77,117,108,18,1,114,90,9,10,1,97,18,4,10,2,8,1,90,9,10,1,98,18,4,10,2,8,1,98,9,10,1,99,18,4,10,2,8,1,66,2,16,20],this.session_options,"c")),this._matmul}static get stft(){return this._stft||(this._stft=bn([8,7,18,0,58,148,1,10,38,10,1,115,10,1,106,10,1,119,10,1,108,18,1,111,34,4,83,84,70,84,42,15,10,8,111,110,101,115,105,100,101,100,24,1,160,1,2,18,1,115,90,26,10,1,115,18,21,10,19,8,1,18,15,10,3,18,1,98,10,3,18,1,115,10,3,18,1,99,90,11,10,1,106,18,6,10,4,8,7,18,0,90,16,10,1,119,18,11,10,9,8,1,18,5,10,3,18,1,119,90,11,10,1,108,18,6,10,4,8,7,18,0,98,31,10,1,111,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,102,10,3,18,1,100,10,3,18,1,99,66,2,16,17],this.session_options,"o")),this._stft}static get rfft(){return this._rfft||(this._rfft=bn([8,9,18,0,58,97,10,33,10,1,120,10,0,10,1,97,18,1,121,34,3,68,70,84,42,15,10,8,111,110,101,115,105,100,101,100,24,1,160,1,2,18,1,100,90,21,10,1,120,18,16,10,14,8,1,18,10,10,3,18,1,115,10,3,18,1,99,90,11,10,1,97,18,6,10,4,8,7,18,0,98,21,10,1,121,18,16,10,14,8,1,18,10,10,3,18,1,115,10,3,18,1,99,66,2,16,20],this.session_options,"y")),this._rfft}static get top_k(){return this._top_k||(this._top_k=bn([8,10,18,0,58,73,10,18,10,1,120,10,1,107,18,1,118,18,1,105,34,4,84,111,112,75,18,1,116,90,9,10,1,120,18,4,10,2,8,1,90,15,10,1,107,18,10,10,8,8,7,18,4,10,2,8,1,98,9,10,1,118,18,4,10,2,8,1,98,9,10,1,105,18,4,10,2,8,7,66,2,16,21],this.session_options,["v","i"])),this._top_k}}N(ia,"session_options",{});const sm=Object.freeze({float32:Float32Array,float16:Uint16Array,float64:Float64Array,string:Array,int8:Int8Array,uint8:Uint8Array,int16:Int16Array,uint16:Uint16Array,int32:Int32Array,uint32:Uint32Array,int64:BigInt64Array,uint64:BigUint64Array,bool:Uint8Array});class fe{constructor(...e){N(this,"ort_tensor");return im(e[0])?this.ort_tensor=e[0]:this.ort_tensor=new Kw(e[0],e[1],e[2]),new Proxy(this,{get:(r,n)=>{if(typeof n=="string"){let a=Number(n);if(Number.isInteger(a))return r._getitem(a)}return r[n]},set:(r,n,a)=>r[n]=a})}get dims(){return this.ort_tensor.dims}set dims(e){this.ort_tensor.dims=e}get type(){return this.ort_tensor.type}get data(){return this.ort_tensor.data}get size(){return this.ort_tensor.size}get location(){return this.ort_tensor.location}dispose(){this.ort_tensor.dispose()}*[Symbol.iterator](){const[e,...r]=this.dims;if(r.length>0){const n=r.reduce((a,s)=>a*s);for(let a=0;a0){const a=n.reduce((s,i)=>s*i);return this._subarray(e,a,n)}else return new fe(this.type,[this.data[e]],n)}indexOf(e){const r=this.data;for(let n=0;nm)throw new Error(`Invalid slice: ${c}`);let _=[Math.max(h,0),Math.min(m,this.dims[l])];n.push(_),r.push(_[1]-_[0])}else throw new Error(`Invalid slice: ${c}`)}let a=n.map(([l,c])=>c-l),s=a.reduce((l,c)=>l*c);const i=this.data;let o=new i.constructor(s);const u=this.stride();for(let l=0;l=0;--h){const _=a[h];c+=(m%_+n[h][0])*u[h],m=Math.floor(m/_)}o[l]=i[c]}return new fe(this.type,o,r)}permute(...e){return Zw(this,e)}transpose(...e){return this.permute(...e)}sum(e=null,r=!1){return this.norm(1,e,r)}norm(e="fro",r=null,n=!1){if(e==="fro")e=2;else if(typeof e=="string")throw Error(`Unsupported norm: ${e}`);const a=this.data;if(r===null){let o=a.reduce((u,l)=>u+l**e,0)**(1/e);return new fe(this.type,[o],[])}r=dr(r,this.dims.length);const s=this.dims.slice();s[r]=1;const i=new a.constructor(a.length/this.dims[r]);for(let o=0;o=0;--l){const m=this.dims[l];if(l!==r){const _=c%m;u+=_*h,h*=s[l]}c=Math.floor(c/m)}i[u]+=a[o]**e}if(e!==1)for(let o=0;o=0;--u){const h=this.dims[u];if(u!==r){const m=l%h;o+=m*c,c*=this.dims[u]}l=Math.floor(l/h)}a[i]/=s[o]}return this}normalize(e=2,r=1){return this.clone().normalize_(e,r)}stride(){return ry(this.dims)}squeeze(e=null){return new fe(this.type,this.data,dm(this.dims,e))}squeeze_(e=null){return this.dims=dm(this.dims,e),this}unsqueeze(e=null){return new fe(this.type,this.data,cm(this.dims,e))}unsqueeze_(e=null){return this.dims=cm(this.dims,e),this}flatten_(e=0,r=-1){r=(r+this.dims.length)%this.dims.length;let n=this.dims.slice(0,e),a=this.dims.slice(e,r+1),s=this.dims.slice(r+1);return this.dims=[...n,a.reduce((i,o)=>i*o,1),...s],this}flatten(e=0,r=-1){return this.clone().flatten_(e,r)}view(...e){let r=-1;for(let a=0;ao!==r?s*i:s,1);e[r]=n.length/a}return new fe(this.type,n,e)}neg_(){const e=this.data;for(let r=0;rs*i);if(r!==n)throw Error(`cannot reshape array of size ${r} into shape (${e})`);let a=t;for(let s=e.length-1;s>=0;s--)a=a.reduce((i,o)=>{let u=i[i.length-1];return u.lengthr!==1):typeof e=="number"?t[e]===1&&t.splice(e,1):Array.isArray(e)&&(t=t.filter((r,n)=>r!==1||!e.includes(n))),t}function cm(t,e){return e=dr(e,t.length+1),t=t.slice(),t.splice(e,0,1),t}function dr(t,e,r=null,n=!0){if(n&&(t<-e||t>=e))throw new Error(`IndexError: index ${t} is out of bounds for dimension${r===null?"":" "+r} with size ${e}`);return t<0&&(t=(t%e+e)%e),t}function Vt(t,e=0){e=dr(e,t[0].dims.length);const r=t[0].dims.slice();r[e]=t.reduce((i,o)=>i+o.dims[e],0);const n=r.reduce((i,o)=>i*o,1),a=new t[0].data.constructor(n),s=t[0].type;if(e===0){let i=0;for(const o of t){const u=o.data;a.set(u,i),i+=u.length}}else{let i=0;for(let o=0;o=0;--m){const y=l[m];let v=_%y;m===e&&(v+=i),h+=v*p,p*=r[m],_=Math.floor(_/y)}a[h]=u[c]}i+=l[e]}}return new fe(s,a,r)}function sa(t,e=0){return Vt(t.map(r=>r.unsqueeze(e)),e)}function ty(t,e=null,r=1,n=!1){const a=t.data,s=t.dims;if(e===null){const m=a.reduce((v,S)=>v+S,0)/a.length,_=Math.sqrt(a.reduce((v,S)=>v+(S-m)**2,0)/(a.length-r)),p=new fe(t.type,[m],[]);return[new fe(t.type,[_],[]),p]}e=dr(e,s.length);const i=Po(t,e,n),o=i.data,u=s.slice();u[e]=1;const l=new a.constructor(a.length/s[e]);for(let h=0;h=0;--_){const v=s[_];if(_!==e){const S=p%v;m+=S*y,y*=u[_]}p=Math.floor(p/v)}l[m]+=(a[h]-o[m])**2}for(let h=0;hu+l,0);return new fe(t.type,[o/n.length],[])}const a=t.dims;e=dr(e,a.length);const s=a.slice();s[e]=1;const i=new n.constructor(n.length/a[e]);for(let o=0;o=0;--l){const m=a[l];if(l!==e){const _=c%m;u+=_*h,h*=s[l]}c=Math.floor(c/m)}i[u]+=n[o]}if(a[e]!==1)for(let o=0;o=0;--r)e[r]=n,n*=t[r];return e}function Bo(t,e,r,n){const a=t.reduce((s,i)=>s*i,1);return new fe(r,new n(a).fill(e),t)}function pm(t,e){let r,n;return r="float32",n=Float32Array,Bo(t,e,r,n)}function ny(t,e){return pm(t.dims,e)}function vn(t){return Bo(t,1n,"int64",BigInt64Array)}function ay(t){return vn(t.dims)}function iy(t){return Bo(t,0n,"int64",BigInt64Array)}function sy(t){return iy(t.dims)}class oy{constructor(e=(n,a)=>n>a,r=1/0){this._heap=[],this._comparator=e,this._maxSize=r}get size(){return this._heap.length}isEmpty(){return this.size===0}peek(){return this._heap[0]}push(...e){return this.extend(e)}extend(e){for(const r of e)if(this.size0&&this._swap(0,r),this._heap.pop(),this._siftDown(),e}replace(e){const r=this.peek();return this._heap[0]=e,this._siftDown(),r}_parent(e){return(e+1>>>1)-1}_left(e){return(e<<1)+1}_right(e){return e+1<<1}_greater(e,r){return this._comparator(this._heap[e],this._heap[r])}_swap(e,r){const n=this._heap[e];this._heap[e]=this._heap[r],this._heap[r]=n}_siftUp(){this._siftUpFrom(this.size-1)}_siftUpFrom(e){for(;e>0&&this._greater(e,this._parent(e));)this._swap(e,this._parent(e)),e=this._parent(e)}_siftDown(){let e=0;for(;this._left(e)[]),this.endNodes=Array.from({length:this.len+1},()=>[]);const a=new oa(this.bosTokenId,0,0,0,0),s=new oa(this.eosTokenId,1,this.len,0,0);this.nodes.push(a.clone()),this.nodes.push(s.clone()),this.beginNodes[this.len].push(s),this.endNodes[0].push(a)}insert(e,r,n,a){const s=this.nodes.length,i=new oa(a,s,e,r,n);this.beginNodes[e].push(i),this.endNodes[e+r].push(i),this.nodes.push(i)}viterbi(){const e=this.len;let r=0;for(;r<=e;){if(this.beginNodes[r].length==0)return[];for(let o of this.beginNodes[r]){o.prev=null;let u=0,l=null;for(let c of this.endNodes[r]){const h=c.backtraceScore+o.score;(l===null||h>u)&&(l=c.clone(),u=h)}if(l!==null)o.prev=l,o.backtraceScore=u;else return[]}++r}const n=[],s=this.beginNodes[e][0].prev;if(s===null)return[];let i=s.clone();for(;i.prev!==null;)n.push(i.clone()),i=i.clone().prev.clone();return n.reverse(),n}piece(e){return this.sentence.slice(e.pos,e.pos+e.length)}tokens(){return this.viterbi().map(r=>this.piece(r))}tokenIds(){return this.viterbi().map(r=>r.tokenId)}}class oa{constructor(e,r,n,a,s){this.tokenId=e,this.nodeId=r,this.pos=n,this.length=a,this.score=s,this.prev=null,this.backtraceScore=0}clone(){const e=new oa(this.tokenId,this.nodeId,this.pos,this.length,this.score);return e.prev=this.prev,e.backtraceScore=this.backtraceScore,e}}var U=Object.freeze({Text:"Text",NumericLiteral:"NumericLiteral",BooleanLiteral:"BooleanLiteral",StringLiteral:"StringLiteral",Identifier:"Identifier",Equals:"Equals",OpenParen:"OpenParen",CloseParen:"CloseParen",OpenStatement:"OpenStatement",CloseStatement:"CloseStatement",OpenExpression:"OpenExpression",CloseExpression:"CloseExpression",OpenSquareBracket:"OpenSquareBracket",CloseSquareBracket:"CloseSquareBracket",OpenCurlyBracket:"OpenCurlyBracket",CloseCurlyBracket:"CloseCurlyBracket",Comma:"Comma",Dot:"Dot",Colon:"Colon",Pipe:"Pipe",CallOperator:"CallOperator",AdditiveBinaryOperator:"AdditiveBinaryOperator",MultiplicativeBinaryOperator:"MultiplicativeBinaryOperator",ComparisonBinaryOperator:"ComparisonBinaryOperator",UnaryOperator:"UnaryOperator",Set:"Set",If:"If",For:"For",In:"In",Is:"Is",NotIn:"NotIn",Else:"Else",EndIf:"EndIf",ElseIf:"ElseIf",EndFor:"EndFor",And:"And",Or:"Or",Not:"UnaryOperator"}),hm=Object.freeze({set:U.Set,for:U.For,in:U.In,is:U.Is,if:U.If,else:U.Else,endif:U.EndIf,elif:U.ElseIf,endfor:U.EndFor,and:U.And,or:U.Or,not:U.Not,"not in":U.NotIn,true:U.BooleanLiteral,false:U.BooleanLiteral}),Zr=class{constructor(t,e){this.value=t,this.type=e}};function fm(t){return/\w/.test(t)}function Do(t){return/[0-9]/.test(t)}var dy=[["{%",U.OpenStatement],["%}",U.CloseStatement],["{{",U.OpenExpression],["}}",U.CloseExpression],["(",U.OpenParen],[")",U.CloseParen],["{",U.OpenCurlyBracket],["}",U.CloseCurlyBracket],["[",U.OpenSquareBracket],["]",U.CloseSquareBracket],[",",U.Comma],[".",U.Dot],[":",U.Colon],["|",U.Pipe],["<=",U.ComparisonBinaryOperator],[">=",U.ComparisonBinaryOperator],["==",U.ComparisonBinaryOperator],["!=",U.ComparisonBinaryOperator],["<",U.ComparisonBinaryOperator],[">",U.ComparisonBinaryOperator],["+",U.AdditiveBinaryOperator],["-",U.AdditiveBinaryOperator],["*",U.MultiplicativeBinaryOperator],["/",U.MultiplicativeBinaryOperator],["%",U.MultiplicativeBinaryOperator],["=",U.Equals]],cy=new Map([["n",` +`],["t"," "],["r","\r"],["b","\b"],["f","\f"],["v","\v"],["'","'"],['"','"'],["\\","\\"]]);function py(t,e={}){return t.endsWith(` +`)&&(t=t.slice(0,-1)),t=t.replace(/{#.*?#}/gs,"{##}"),e.lstrip_blocks&&(t=t.replace(/^[ \t]*({[#%])/gm,"$1")),e.trim_blocks&&(t=t.replace(/([#%]})\n/g,"$1")),t.replace(/{##}/g,"").replace(/-%}\s*/g,"%}").replace(/\s*{%-/g,"{%").replace(/-}}\s*/g,"}}").replace(/\s*{{-/g,"{{")}function hy(t,e={}){var i,o,u;const r=[],n=py(t,e);let a=0;const s=l=>{let c="";for(;l(n[a]);){if(n[a]==="\\"){if(++a,a>=n.length)throw new SyntaxError("Unexpected end of input");const h=n[a++],m=cy.get(h);if(m===void 0)throw new SyntaxError(`Unexpected escaped character: ${h}`);c+=m;continue}if(c+=n[a++],a>=n.length)throw new SyntaxError("Unexpected end of input")}return c};e:for(;a0){r.push(new Zr(h,U.Text));continue}}s(h=>/\s/.test(h));const c=n[a];if(c==="-"||c==="+"){const h=(o=r.at(-1))==null?void 0:o.type;if(h===U.Text||h===void 0)throw new SyntaxError(`Unexpected character: ${c}`);switch(h){case U.Identifier:case U.NumericLiteral:case U.BooleanLiteral:case U.StringLiteral:case U.CloseParen:case U.CloseSquareBracket:break;default:{++a;const m=s(Do);r.push(new Zr(`${c}${m}`,m.length>0?U.NumericLiteral:U.UnaryOperator));continue}}}for(const[h,m]of dy)if(n.slice(a,a+h.length)===h){r.push(new Zr(h,m)),a+=h.length;continue e}if(c==="'"||c==='"'){++a;const h=s(m=>m!==c);r.push(new Zr(h,U.StringLiteral)),++a;continue}if(Do(c)){const h=s(Do);r.push(new Zr(h,U.NumericLiteral));continue}if(fm(c)){const h=s(fm),m=Object.hasOwn(hm,h)?hm[h]:U.Identifier;m===U.In&&((u=r.at(-1))==null?void 0:u.type)===U.Not?(r.pop(),r.push(new Zr("not in",U.NotIn))):r.push(new Zr(h,m));continue}throw new SyntaxError(`Unexpected character: ${c}`)}return r}var ua=class{constructor(){N(this,"type","Statement")}},fy=class extends ua{constructor(e){super();N(this,"type","Program");this.body=e}},mm=class extends ua{constructor(e,r,n){super();N(this,"type","If");this.test=e,this.body=r,this.alternate=n}},my=class extends ua{constructor(e,r,n){super();N(this,"type","For");this.loopvar=e,this.iterable=r,this.body=n}},gy=class extends ua{constructor(e,r){super();N(this,"type","Set");this.assignee=e,this.value=r}},cr=class extends ua{constructor(){super(...arguments);N(this,"type","Expression")}},_y=class extends cr{constructor(e,r,n){super();N(this,"type","MemberExpression");this.object=e,this.property=r,this.computed=n}},wy=class extends cr{constructor(e,r){super();N(this,"type","CallExpression");this.callee=e,this.args=r}},$n=class extends cr{constructor(e){super();N(this,"type","Identifier");this.value=e}},xn=class extends cr{constructor(e){super();N(this,"type","Literal");this.value=e}},yy=class extends xn{constructor(){super(...arguments);N(this,"type","NumericLiteral")}},gm=class extends xn{constructor(){super(...arguments);N(this,"type","StringLiteral")}},_m=class extends xn{constructor(){super(...arguments);N(this,"type","BooleanLiteral")}},by=class extends xn{constructor(){super(...arguments);N(this,"type","ArrayLiteral")}},wm=class extends xn{constructor(){super(...arguments);N(this,"type","TupleLiteral")}},vy=class extends xn{constructor(){super(...arguments);N(this,"type","ObjectLiteral")}},la=class extends cr{constructor(e,r,n){super();N(this,"type","BinaryExpression");this.operator=e,this.left=r,this.right=n}},$y=class extends cr{constructor(e,r){super();N(this,"type","FilterExpression");this.operand=e,this.filter=r}},xy=class extends cr{constructor(e,r,n){super();N(this,"type","TestExpression");this.operand=e,this.negate=r,this.test=n}},Sy=class extends cr{constructor(e,r){super();N(this,"type","UnaryExpression");this.operator=e,this.argument=r}},ky=class extends cr{constructor(e=void 0,r=void 0,n=void 0){super();N(this,"type","SliceExpression");this.start=e,this.stop=r,this.step=n}},Ey=class extends cr{constructor(e,r){super();N(this,"type","KeywordArgumentExpression");this.key=e,this.value=r}};function Cy(t){const e=new fy([]);let r=0;function n(D,M){const V=t[r++];if(!V||V.type!==D)throw new Error(`Parser Error: ${M}. ${V.type} !== ${D}.`);return V}function a(){switch(t[r].type){case U.Text:return o();case U.OpenStatement:return u();case U.OpenExpression:return l();default:throw new SyntaxError(`Unexpected token type: ${t[r].type}`)}}function s(...D){return r+D.length<=t.length&&D.some((M,V)=>M!==t[r+V].type)}function i(...D){return r+D.length<=t.length&&D.every((M,V)=>M===t[r+V].type)}function o(){return new gm(n(U.Text,"Expected text token").value)}function u(){n(U.OpenStatement,"Expected opening statement token");let D;switch(t[r].type){case U.Set:++r,D=c(),n(U.CloseStatement,"Expected closing statement token");break;case U.If:++r,D=h(),n(U.OpenStatement,"Expected {% token"),n(U.EndIf,"Expected endif token"),n(U.CloseStatement,"Expected %} token");break;case U.For:++r,D=_(),n(U.OpenStatement,"Expected {% token"),n(U.EndFor,"Expected endfor token"),n(U.CloseStatement,"Expected %} token");break;default:throw new SyntaxError(`Unknown statement type: ${t[r].type}`)}return D}function l(){n(U.OpenExpression,"Expected opening expression token");const D=p();return n(U.CloseExpression,"Expected closing expression token"),D}function c(){const D=p();if(i(U.Equals)){++r;const M=c();return new gy(D,M)}return D}function h(){var q,ce,ue,B,ae,de,Se,Te;const D=p();n(U.CloseStatement,"Expected closing statement token");const M=[],V=[];for(;!(((q=t[r])==null?void 0:q.type)===U.OpenStatement&&(((ce=t[r+1])==null?void 0:ce.type)===U.ElseIf||((ue=t[r+1])==null?void 0:ue.type)===U.Else||((B=t[r+1])==null?void 0:B.type)===U.EndIf));)M.push(a());if(((ae=t[r])==null?void 0:ae.type)===U.OpenStatement&&((de=t[r+1])==null?void 0:de.type)!==U.EndIf)if(++r,i(U.ElseIf))n(U.ElseIf,"Expected elseif token"),V.push(h());else for(n(U.Else,"Expected else token"),n(U.CloseStatement,"Expected closing statement token");!(((Se=t[r])==null?void 0:Se.type)===U.OpenStatement&&((Te=t[r+1])==null?void 0:Te.type)===U.EndIf);)V.push(a());return new mm(D,M,V)}function m(D=!1){const M=D?se:p,V=[M()],q=i(U.Comma);for(;q&&(++r,V.push(M()),!!i(U.Comma)););return q?new wm(V):V[0]}function _(){const D=m(!0);if(!(D instanceof $n||D instanceof wm))throw new SyntaxError(`Expected identifier/tuple for the loop variable, got ${D.type} instead`);n(U.In,"Expected `in` keyword following loop variable");const M=p();n(U.CloseStatement,"Expected closing statement token");const V=[];for(;s(U.OpenStatement,U.EndFor);)V.push(a());return new my(D,M,V)}function p(){return y()}function y(){const D=v();if(i(U.If)){++r;const M=v();n(U.Else,"Expected else token");const V=v();return new mm(M,[D],[V])}return D}function v(){let D=S();for(;i(U.Or);){const M=t[r];++r;const V=S();D=new la(M,D,V)}return D}function S(){let D=x();for(;i(U.And);){const M=t[r];++r;const V=x();D=new la(M,D,V)}return D}function x(){let D;for(;i(U.Not);){const M=t[r];++r;const V=x();D=new Sy(M,V)}return D??C()}function C(){let D=T();for(;i(U.ComparisonBinaryOperator)||i(U.In)||i(U.NotIn);){const M=t[r];++r;const V=T();D=new la(M,D,V)}return D}function T(){let D=he();for(;i(U.AdditiveBinaryOperator);){const M=t[r];++r;const V=he();D=new la(M,D,V)}return D}function I(){const D=K();return i(U.OpenParen)?R(D):D}function R(D){let M=new wy(D,P());return i(U.OpenParen)&&(M=R(M)),M}function P(){n(U.OpenParen,"Expected opening parenthesis for arguments list");const D=G();return n(U.CloseParen,"Expected closing parenthesis for arguments list"),D}function G(){const D=[];for(;!i(U.CloseParen);){let M=p();if(i(U.Equals)){if(++r,!(M instanceof $n))throw new SyntaxError("Expected identifier for keyword argument");const V=p();M=new Ey(M,V)}D.push(M),i(U.Comma)&&++r}return D}function j(){const D=[];let M=!1;for(;!i(U.CloseSquareBracket);)i(U.Colon)?(D.push(void 0),++r,M=!0):(D.push(p()),i(U.Colon)&&(++r,M=!0));if(D.length===0)throw new SyntaxError("Expected at least one argument for member/slice expression");if(M){if(D.length>3)throw new SyntaxError("Expected 0-3 arguments for slice expression");return new ky(...D)}return D[0]}function K(){let D=se();for(;i(U.Dot)||i(U.OpenSquareBracket);){const M=t[r];++r;let V;const q=M.type!==U.Dot;if(q)V=j(),n(U.CloseSquareBracket,"Expected closing square bracket");else if(V=se(),V.type!=="Identifier")throw new SyntaxError("Expected identifier following dot operator");D=new _y(D,V,q)}return D}function he(){let D=ne();for(;i(U.MultiplicativeBinaryOperator);){const M=t[r];++r;const V=ne();D=new la(M,D,V)}return D}function ne(){let D=te();for(;i(U.Is);){++r;const M=i(U.Not);M&&++r;let V=se();if(V instanceof _m&&(V=new $n(V.value.toString())),!(V instanceof $n))throw new SyntaxError("Expected identifier for the test");D=new xy(D,M,V)}return D}function te(){let D=I();for(;i(U.Pipe);){++r;let M=se();if(!(M instanceof $n))throw new SyntaxError("Expected identifier for the filter");i(U.OpenParen)&&(M=R(M)),D=new $y(D,M)}return D}function se(){const D=t[r];switch(D.type){case U.NumericLiteral:return++r,new yy(Number(D.value));case U.StringLiteral:return++r,new gm(D.value);case U.BooleanLiteral:return++r,new _m(D.value==="true");case U.Identifier:return++r,new $n(D.value);case U.OpenParen:{++r;const M=m();if(t[r].type!==U.CloseParen)throw new SyntaxError(`Expected closing parenthesis, got ${t[r].type} instead`);return++r,M}case U.OpenSquareBracket:{++r;const M=[];for(;!i(U.CloseSquareBracket);)M.push(p()),i(U.Comma)&&++r;return++r,new by(M)}case U.OpenCurlyBracket:{++r;const M=new Map;for(;!i(U.CloseCurlyBracket);){const V=p();n(U.Colon,"Expected colon between key and value in object literal");const q=p();M.set(V,q),i(U.Comma)&&++r}return++r,new vy(M)}default:throw new SyntaxError(`Unexpected token: ${D.type}`)}}for(;r=0?(e=(e??(e=0))<0?Math.max(t.length+e,0):Math.min(e,t.length),r=(r??(r=t.length))<0?Math.max(t.length+r,0):Math.min(r,t.length)):(e=(e??(e=t.length-1))<0?Math.max(t.length+e,-1):Math.min(e,t.length-1),r=(r??(r=-1))<-1?Math.max(t.length+r,-1):Math.min(r,t.length-1));const s=[];for(let i=e;a*ie.toUpperCase())}var vr=class{constructor(t=void 0){N(this,"type","RuntimeValue");N(this,"value");N(this,"builtins",new Map);this.value=t}__bool__(){return new rt(!!this.value)}},Ye=class extends vr{constructor(){super(...arguments);N(this,"type","NumericValue")}},Pe=class extends vr{constructor(){super(...arguments);N(this,"type","StringValue");N(this,"builtins",new Map([["upper",new $r(()=>new Pe(this.value.toUpperCase()))],["lower",new $r(()=>new Pe(this.value.toLowerCase()))],["strip",new $r(()=>new Pe(this.value.trim()))],["title",new $r(()=>new Pe(bm(this.value)))],["length",new Ye(this.value.length)]]))}},rt=class extends vr{constructor(){super(...arguments);N(this,"type","BooleanValue")}},rr=class extends vr{constructor(){super(...arguments);N(this,"type","ObjectValue");N(this,"builtins",new Map([["get",new $r(([e,r])=>{if(!(e instanceof Pe))throw new Error(`Object key must be a string: got ${e.type}`);return this.value.get(e.value)??r??new da})],["items",new $r(()=>new Ze(Array.from(this.value.entries()).map(([e,r])=>new Ze([new Pe(e),r]))))]]))}__bool__(){return new rt(this.value.size>0)}},Ze=class extends vr{constructor(){super(...arguments);N(this,"type","ArrayValue");N(this,"builtins",new Map([["length",new Ye(this.value.length)]]))}__bool__(){return new rt(this.value.length>0)}},Iy=class extends Ze{constructor(){super(...arguments);N(this,"type","TupleValue")}},$r=class extends vr{constructor(){super(...arguments);N(this,"type","FunctionValue")}},da=class extends vr{constructor(){super(...arguments);N(this,"type","NullValue")}},nr=class extends vr{constructor(){super(...arguments);N(this,"type","UndefinedValue")}},No=class{constructor(t){N(this,"variables",new Map([["namespace",new $r(t=>{if(t.length===0)return new rr(new Map);if(t.length!==1||!(t[0]instanceof rr))throw new Error("`namespace` expects either zero arguments or a single object argument");return t[0]})]]));N(this,"tests",new Map([["boolean",t=>t.type==="BooleanValue"],["callable",t=>t instanceof $r],["odd",t=>{if(t.type!=="NumericValue")throw new Error(`Cannot apply test "odd" to type: ${t.type}`);return t.value%2!==0}],["even",t=>{if(t.type!=="NumericValue")throw new Error(`Cannot apply test "even" to type: ${t.type}`);return t.value%2===0}],["false",t=>t.type==="BooleanValue"&&!t.value],["true",t=>t.type==="BooleanValue"&&t.value],["number",t=>t.type==="NumericValue"],["integer",t=>t.type==="NumericValue"&&Number.isInteger(t.value)],["iterable",t=>t instanceof Ze||t instanceof Pe],["lower",t=>{const e=t.value;return t.type==="StringValue"&&e===e.toLowerCase()}],["upper",t=>{const e=t.value;return t.type==="StringValue"&&e===e.toUpperCase()}],["none",t=>t.type==="NullValue"],["defined",t=>t.type!=="UndefinedValue"],["undefined",t=>t.type==="UndefinedValue"],["equalto",(t,e)=>t.value===e.value]]));this.parent=t}set(t,e){return this.declareVariable(t,ki(e))}declareVariable(t,e){if(this.variables.has(t))throw new SyntaxError(`Variable already declared: ${t}`);return this.variables.set(t,e),e}setVariable(t,e){return this.variables.set(t,e),e}resolve(t){if(this.variables.has(t))return this;if(this.parent)return this.parent.resolve(t);throw new Error(`Unknown variable: ${t}`)}lookupVariable(t){try{return this.resolve(t).variables.get(t)??new nr}catch{return new nr}}},Ay=class{constructor(t){N(this,"global");this.global=t??new No}run(t){return this.evaluate(t,this.global)}evaluateBinaryExpression(t,e){const r=this.evaluate(t.left,e);switch(t.operator.value){case"and":return r.__bool__().value?this.evaluate(t.right,e):r;case"or":return r.__bool__().value?r:this.evaluate(t.right,e)}const n=this.evaluate(t.right,e);switch(t.operator.value){case"==":return new rt(r.value==n.value);case"!=":return new rt(r.value!=n.value)}if(r instanceof nr||n instanceof nr)throw new Error("Cannot perform operation on undefined values");if(r instanceof da||n instanceof da)throw new Error("Cannot perform operation on null values");if(r instanceof Ye&&n instanceof Ye)switch(t.operator.value){case"+":return new Ye(r.value+n.value);case"-":return new Ye(r.value-n.value);case"*":return new Ye(r.value*n.value);case"/":return new Ye(r.value/n.value);case"%":return new Ye(r.value%n.value);case"<":return new rt(r.value":return new rt(r.value>n.value);case">=":return new rt(r.value>=n.value);case"<=":return new rt(r.value<=n.value)}else if(r instanceof Ze&&n instanceof Ze)switch(t.operator.value){case"+":return new Ze(r.value.concat(n.value))}else if(n instanceof Ze){const a=n.value.find(s=>s.value===r.value)!==void 0;switch(t.operator.value){case"in":return new rt(a);case"not in":return new rt(!a)}}if(r instanceof Pe||n instanceof Pe)switch(t.operator.value){case"+":return new Pe(r.value.toString()+n.value.toString())}if(r instanceof Pe&&n instanceof Pe)switch(t.operator.value){case"in":return new rt(n.value.includes(r.value));case"not in":return new rt(!n.value.includes(r.value))}if(r instanceof Pe&&n instanceof rr)switch(t.operator.value){case"in":return new rt(n.value.has(r.value));case"not in":return new rt(!n.value.has(r.value))}throw new SyntaxError(`Unknown operator "${t.operator.value}" between ${r.type} and ${n.type}`)}evaluateFilterExpression(t,e){const r=this.evaluate(t.operand,e);if(t.filter.type==="Identifier"){const n=t.filter;if(r instanceof Ze)switch(n.value){case"list":return r;case"first":return r.value[0];case"last":return r.value[r.value.length-1];case"length":return new Ye(r.value.length);case"reverse":return new Ze(r.value.reverse());case"sort":return new Ze(r.value.sort((a,s)=>{if(a.type!==s.type)throw new Error(`Cannot compare different types: ${a.type} and ${s.type}`);switch(a.type){case"NumericValue":return a.value-s.value;case"StringValue":return a.value.localeCompare(s.value);default:throw new Error(`Cannot compare type: ${a.type}`)}}));default:throw new Error(`Unknown ArrayValue filter: ${n.value}`)}else if(r instanceof Pe)switch(n.value){case"length":return new Ye(r.value.length);case"upper":return new Pe(r.value.toUpperCase());case"lower":return new Pe(r.value.toLowerCase());case"title":return new Pe(bm(r.value));case"capitalize":return new Pe(r.value.charAt(0).toUpperCase()+r.value.slice(1));case"trim":return new Pe(r.value.trim());default:throw new Error(`Unknown StringValue filter: ${n.value}`)}else if(r instanceof Ye)switch(n.value){case"abs":return new Ye(Math.abs(r.value));default:throw new Error(`Unknown NumericValue filter: ${n.value}`)}else if(r instanceof rr)switch(n.value){case"items":return new Ze(Array.from(r.value.entries()).map(([a,s])=>new Ze([new Pe(a),s])));case"length":return new Ye(r.value.size);default:throw new Error(`Unknown ObjectValue filter: ${n.value}`)}throw new Error(`Cannot apply filter "${n.value}" to type: ${r.type}`)}else if(t.filter.type==="CallExpression"){const n=t.filter;if(n.callee.type!=="Identifier")throw new Error(`Unknown filter: ${n.callee.type}`);const a=n.callee.value;if(r instanceof Ze){switch(a){case"selectattr":{if(r.value.some(c=>!(c instanceof rr)))throw new Error("`selectattr` can only be applied to array of objects");if(n.args.some(c=>c.type!=="StringLiteral"))throw new Error("arguments of `selectattr` must be strings");const[s,i,o]=n.args.map(c=>this.evaluate(c,e));let u;if(i){const c=e.tests.get(i.value);if(!c)throw new Error(`Unknown test: ${i.value}`);u=c}else u=(...c)=>c[0].__bool__().value;const l=r.value.filter(c=>{const h=c.value.get(s.value);return h?u(h,o):!1});return new Ze(l)}}throw new Error(`Unknown ArrayValue filter: ${a}`)}else throw new Error(`Cannot apply filter "${a}" to type: ${r.type}`)}throw new Error(`Unknown filter: ${t.filter.type}`)}evaluateTestExpression(t,e){const r=this.evaluate(t.operand,e),n=e.tests.get(t.test.value);if(!n)throw new Error(`Unknown test: ${t.test.value}`);const a=n(r);return new rt(t.negate?!a:a)}evaluateUnaryExpression(t,e){const r=this.evaluate(t.argument,e);switch(t.operator.value){case"not":return new rt(!r.value);default:throw new SyntaxError(`Unknown operator: ${t.operator.value}`)}}evalProgram(t,e){return this.evaluateBlock(t.body,e)}evaluateBlock(t,e){let r="";for(const n of t){const a=this.evaluate(n,e);a.type!=="NullValue"&&a.type!=="UndefinedValue"&&(r+=a.value)}return new Pe(r)}evaluateIdentifier(t,e){return e.lookupVariable(t.value)}evaluateCallExpression(t,e){const r=[],n=new Map;for(const s of t.args)if(s.type==="KeywordArgumentExpression"){const i=s;n.set(i.key.value,this.evaluate(i.value,e))}else r.push(this.evaluate(s,e));n.size>0&&r.push(new rr(n));const a=this.evaluate(t.callee,e);if(a.type!=="FunctionValue")throw new Error(`Cannot call something that is not a function: got ${a.type}`);return a.value(r,e)}evaluateSliceExpression(t,e,r){if(!(t instanceof Ze||t instanceof Pe))throw new Error("Slice object must be an array or string");const n=this.evaluate(e.start,r),a=this.evaluate(e.stop,r),s=this.evaluate(e.step,r);if(!(n instanceof Ye||n instanceof nr))throw new Error("Slice start must be numeric or undefined");if(!(a instanceof Ye||a instanceof nr))throw new Error("Slice stop must be numeric or undefined");if(!(s instanceof Ye||s instanceof nr))throw new Error("Slice step must be numeric or undefined");return t instanceof Ze?new Ze(ym(t.value,n.value,a.value,s.value)):new Pe(ym(Array.from(t.value),n.value,a.value,s.value).join(""))}evaluateMemberExpression(t,e){const r=this.evaluate(t.object,e);let n;if(t.computed){if(t.property.type==="SliceExpression")return this.evaluateSliceExpression(r,t.property,e);n=this.evaluate(t.property,e)}else n=new Pe(t.property.value);let a;if(r instanceof rr){if(!(n instanceof Pe))throw new Error(`Cannot access property with non-string: got ${n.type}`);a=r.value.get(n.value)??r.builtins.get(n.value)}else if(r instanceof Ze||r instanceof Pe)if(n instanceof Ye)a=r.value.at(n.value),r instanceof Pe&&(a=new Pe(r.value.at(n.value)));else if(n instanceof Pe)a=r.builtins.get(n.value);else throw new Error(`Cannot access property with non-string/non-number: got ${n.type}`);else{if(!(n instanceof Pe))throw new Error(`Cannot access property with non-string: got ${n.type}`);a=r.builtins.get(n.value)}return a instanceof vr?a:new nr}evaluateSet(t,e){const r=this.evaluate(t.value,e);if(t.assignee.type==="Identifier"){const n=t.assignee.value;e.setVariable(n,r)}else if(t.assignee.type==="MemberExpression"){const n=t.assignee,a=this.evaluate(n.object,e);if(!(a instanceof rr))throw new Error("Cannot assign to member of non-object");if(n.property.type!=="Identifier")throw new Error("Cannot assign to member with non-identifier property");a.value.set(n.property.value,r)}else throw new Error(`Invalid LHS inside assignment expression: ${JSON.stringify(t.assignee)}`);return new da}evaluateIf(t,e){const r=this.evaluate(t.test,e);return this.evaluateBlock(r.__bool__().value?t.body:t.alternate,e)}evaluateFor(t,e){const r=new No(e),n=this.evaluate(t.iterable,r);if(!(n instanceof Ze))throw new Error(`Expected iterable type in for loop: got ${n.type}`);let a="";for(let s=0;s0?n.value[s-1]:new nr],["nextitem",sc.value.length?"few":"many"} items to unpack`);for(let h=0;hthis.evaluate(r,e)));case"TupleLiteral":return new Iy(t.value.map(r=>this.evaluate(r,e)));case"ObjectLiteral":{const r=new Map;for(const[n,a]of t.value){const s=this.evaluate(n,e);if(!(s instanceof Pe))throw new Error(`Object keys must be strings: got ${s.type}`);r.set(s.value,this.evaluate(a,e))}return new rr(r)}case"Identifier":return this.evaluateIdentifier(t,e);case"CallExpression":return this.evaluateCallExpression(t,e);case"MemberExpression":return this.evaluateMemberExpression(t,e);case"UnaryExpression":return this.evaluateUnaryExpression(t,e);case"BinaryExpression":return this.evaluateBinaryExpression(t,e);case"FilterExpression":return this.evaluateFilterExpression(t,e);case"TestExpression":return this.evaluateTestExpression(t,e);default:throw new SyntaxError(`Unknown node type: ${t.type}`)}}};function ki(t){switch(typeof t){case"number":return new Ye(t);case"string":return new Pe(t);case"boolean":return new rt(t);case"object":return t===null?new da:Array.isArray(t)?new Ze(t.map(ki)):new rr(new Map(Object.entries(t).map(([e,r])=>[e,ki(r)])));case"function":return new $r((e,r)=>{const n=t(...e.map(a=>a.value))??null;return ki(n)});default:throw new Error(`Cannot convert to runtime value: ${t}`)}}var My=class{constructor(t){N(this,"parsed");const e=hy(t,{lstrip_blocks:!0,trim_blocks:!0});this.parsed=Cy(e)}render(t){const e=new No;e.set("false",!1),e.set("true",!0),e.set("raise_exception",a=>{throw new Error(a)}),e.set("range",Ty);for(const[a,s]of Object.entries(t))e.set(a,s);return new Ay(e).run(this.parsed).value}};const vm=[["en","english"],["zh","chinese"],["de","german"],["es","spanish"],["ru","russian"],["ko","korean"],["fr","french"],["ja","japanese"],["pt","portuguese"],["tr","turkish"],["pl","polish"],["ca","catalan"],["nl","dutch"],["ar","arabic"],["sv","swedish"],["it","italian"],["id","indonesian"],["hi","hindi"],["fi","finnish"],["vi","vietnamese"],["he","hebrew"],["uk","ukrainian"],["el","greek"],["ms","malay"],["cs","czech"],["ro","romanian"],["da","danish"],["hu","hungarian"],["ta","tamil"],["no","norwegian"],["th","thai"],["ur","urdu"],["hr","croatian"],["bg","bulgarian"],["lt","lithuanian"],["la","latin"],["mi","maori"],["ml","malayalam"],["cy","welsh"],["sk","slovak"],["te","telugu"],["fa","persian"],["lv","latvian"],["bn","bengali"],["sr","serbian"],["az","azerbaijani"],["sl","slovenian"],["kn","kannada"],["et","estonian"],["mk","macedonian"],["br","breton"],["eu","basque"],["is","icelandic"],["hy","armenian"],["ne","nepali"],["mn","mongolian"],["bs","bosnian"],["kk","kazakh"],["sq","albanian"],["sw","swahili"],["gl","galician"],["mr","marathi"],["pa","punjabi"],["si","sinhala"],["km","khmer"],["sn","shona"],["yo","yoruba"],["so","somali"],["af","afrikaans"],["oc","occitan"],["ka","georgian"],["be","belarusian"],["tg","tajik"],["sd","sindhi"],["gu","gujarati"],["am","amharic"],["yi","yiddish"],["lo","lao"],["uz","uzbek"],["fo","faroese"],["ht","haitian creole"],["ps","pashto"],["tk","turkmen"],["nn","nynorsk"],["mt","maltese"],["sa","sanskrit"],["lb","luxembourgish"],["my","myanmar"],["bo","tibetan"],["tl","tagalog"],["mg","malagasy"],["as","assamese"],["tt","tatar"],["haw","hawaiian"],["ln","lingala"],["ha","hausa"],["ba","bashkir"],["jw","javanese"],["su","sundanese"]],Ei=new Map(vm),Oy=new Map([...vm.map(([t,e])=>[e,t]),["burmese","my"],["valencian","ca"],["flemish","nl"],["haitian","ht"],["letzeburgesch","lb"],["pushto","ps"],["panjabi","pa"],["moldavian","ro"],["moldovan","ro"],["sinhalese","si"],["castilian","es"]]);function $m(t){t=t.toLowerCase();let e=Oy.get(t);if(e===void 0)if(Ei.has(t))e=t;else{const n=t.length===2?Ei.keys():Ei.values();throw new Error(`Language "${t}" is not supported. Must be one of: ${JSON.stringify(n)}`)}return e}const Fo="https://github.com/xenova/transformers.js/issues/new/choose";async function xm(t,e){const r=await Promise.all([Ar(t,"tokenizer.json",!0,e),Ar(t,"tokenizer_config.json",!0,e)]);return e.legacy!==null&&(r[1].legacy=e.legacy),r}function zy(t,e){const r=[];let n=0;for(const a of t.matchAll(e)){const s=a[0];n0&&r.push(s),n=a.index+s.length}return n=19968&&t<=40959||t>=13312&&t<=19903||t>=131072&&t<=173791||t>=173824&&t<=177983||t>=177984&&t<=178207||t>=178208&&t<=183983||t>=63744&&t<=64255||t>=194560&&t<=195103}function Py(t,e,r){const n=[];let a=0;for(;athis.tokens_to_ids.get(r)??this.unk_token_id)}convert_ids_to_tokens(e){return e.map(r=>this.vocab[r]??this.unk_token)}}class Ly extends ca{constructor(e){super(e),this.tokens_to_ids=Lo(e.vocab),this.unk_token_id=this.tokens_to_ids.get(e.unk_token),this.unk_token=e.unk_token,this.max_input_chars_per_word=e.max_input_chars_per_word??100,this.vocab=new Array(this.tokens_to_ids.size);for(const[r,n]of this.tokens_to_ids)this.vocab[n]=r}encode(e){const r=[];for(const n of e){const a=[...n];if(a.length>this.max_input_chars_per_word){r.push(this.unk_token);continue}let s=!1,i=0;const o=[];for(;i0&&(c=this.config.continuing_subword_prefix+c),this.tokens_to_ids.has(c)){l=c;break}--u}if(l===null){s=!0;break}o.push(l),i=u}s?r.push(this.unk_token):r.push(...o)}return r}}class Uy extends ca{constructor(e,r){super(e);const n=e.vocab.length;this.vocab=new Array(n),this.scores=new Array(n);for(let a=0;a[a,s])),this.bosToken=" ",this.bosTokenId=this.tokens_to_ids.get(this.bosToken),this.eosToken=r.eos_token,this.eosTokenId=this.tokens_to_ids.get(this.eosToken),this.unkToken=this.vocab[this.unk_token_id],this.minScore=Eu(this.scores)[0],this.unkScore=this.minScore-10,this.scores[this.unk_token_id]=this.unkScore,this.trie=new uy,this.trie.extend(this.vocab),this.fuse_unk=!0}populateNodes(e){const r=e.sentence,n=r.length;let a=0;for(;a{const t=[...Array.from({length:94},(a,s)=>s+33),...Array.from({length:12},(a,s)=>s+161),...Array.from({length:82},(a,s)=>s+174)],e=t.slice();let r=0;for(let a=0;a<256;++a)t.includes(a)||(t.push(a),e.push(256+r),r+=1);const n=e.map(a=>String.fromCharCode(a));return Object.fromEntries(t.map((a,s)=>[a,n[s]]))})(),Wy=a0(Cm);class Vy extends ca{constructor(e){super(e),this.BPE_SPLIT_TOKEN=" ",this.tokens_to_ids=Lo(e.vocab),this.unk_token_id=this.tokens_to_ids.get(e.unk_token),this.unk_token=e.unk_token,this.vocab=new Array(this.tokens_to_ids.size);for(const[r,n]of this.tokens_to_ids)this.vocab[n]=r;this.bpe_ranks=new Map(e.merges.map((r,n)=>[r,n])),this.merges=e.merges.map(r=>r.split(this.BPE_SPLIT_TOKEN)),this.end_of_word_suffix=e.end_of_word_suffix,this.continuing_subword_suffix=e.continuing_subword_suffix??null,this.byte_fallback=this.config.byte_fallback??!1,this.byte_fallback&&(this.text_encoder=new TextEncoder),this.ignore_merges=this.config.ignore_merges??!1,this.cache=new Map}bpe(e){if(e.length===0)return[];const r=this.cache.get(e);if(r!==void 0)return r;const n=Array.from(e);this.end_of_word_suffix&&(n[n.length-1]+=this.end_of_word_suffix);let a=[];if(n.length>1){const s=new oy((u,l)=>u.score`<0x${i.toString(16).toUpperCase().padStart(2,"0")}>`)):r.push(this.unk_token)}return r}}class Gy extends ca{constructor(e,r){super(e),this.tokens_to_ids=Lo(r.target_lang?e.vocab[r.target_lang]:e.vocab),this.bos_token=r.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=r.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=r.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=r.unk_token,this.unk_token_id=this.tokens_to_ids.get(this.unk_token),this.vocab=new Array(this.tokens_to_ids.size);for(const[n,a]of this.tokens_to_ids)this.vocab[a]=n}encode(e){return e}}class Rt extends bt{constructor(e){super(),this.config=e}static fromConfig(e){if(e===null)return null;switch(e.type){case"BertNormalizer":return new eb(e);case"Precompiled":return new yb(e);case"Sequence":return new Zy(e);case"Replace":return new Hy(e);case"NFC":return new jy(e);case"NFKC":return new qy(e);case"NFKD":return new Ky(e);case"Strip":return new Yy(e);case"StripAccents":return new Xy(e);case"Lowercase":return new Qy(e);case"Prepend":return new Jy(e);default:throw new Error(`Unknown Normalizer type: ${e.type}`)}}normalize(e){throw Error("normalize should be implemented in subclass.")}_call(e){return this.normalize(e)}}class Hy extends Rt{normalize(e){const r=Ci(this.config.pattern);return r===null?e:e.replaceAll(r,this.config.content)}}class jy extends Rt{normalize(e){return e=e.normalize("NFC"),e}}class qy extends Rt{normalize(e){return e=e.normalize("NFKC"),e}}class Ky extends Rt{normalize(e){return e=e.normalize("NFKD"),e}}class Yy extends Rt{normalize(e){return this.config.strip_left&&this.config.strip_right?e=e.trim():(this.config.strip_left&&(e=e.trimStart()),this.config.strip_right&&(e=e.trimEnd())),e}}class Xy extends Rt{normalize(e){return e=km(e),e}}class Qy extends Rt{normalize(e){return e=e.toLowerCase(),e}}class Jy extends Rt{normalize(e){return e=this.config.prepend+e,e}}class Zy extends Rt{constructor(e){super(e),this.normalizers=e.normalizers.map(r=>Rt.fromConfig(r))}normalize(e){return this.normalizers.reduce((r,n)=>n.normalize(r),e)}}class eb extends Rt{_tokenize_chinese_chars(e){const r=[];for(let n=0;nthis.pre_tokenize_text(n,r)):this.pre_tokenize_text(e,r)).flat()}_call(e,r){return this.pre_tokenize(e,r)}}class tb extends Gt{constructor(e){super(),this.pattern=new RegExp(`[^\\s${Sn}]+|[${Sn}]`,"gu")}pre_tokenize_text(e,r){return e.trim().match(this.pattern)||[]}}class rb extends Gt{constructor(e){super(),this.config=e,this.add_prefix_space=this.config.add_prefix_space,this.trim_offsets=this.config.trim_offsets,this.use_regex=this.config.use_regex??!0,this.pattern=new RegExp("'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)|\\s+","gu"),this.byte_encoder=Cm,this.text_encoder=new TextEncoder}pre_tokenize_text(e,r){return this.add_prefix_space&&!e.startsWith(" ")&&(e=" "+e),(this.use_regex?e.match(this.pattern)||[]:[e]).map(a=>Array.from(this.text_encoder.encode(a),s=>this.byte_encoder[s]).join(""))}}class nb extends Gt{constructor(e){super(),this.config=e,this.pattern=Ci(this.config.pattern,this.config.invert)}pre_tokenize_text(e,r){return this.pattern===null?[]:this.config.invert?e.match(this.pattern)||[]:zy(e,this.pattern)}}class ab extends Gt{constructor(e){super(),this.config=e,this.pattern=new RegExp(`[^${Sn}]+|[${Sn}]+`,"gu")}pre_tokenize_text(e,r){return e.match(this.pattern)||[]}}class ib extends Gt{constructor(e){super(),this.config=e;const r=`[^\\d]+|\\d${this.config.individual_digits?"":"+"}`;this.pattern=new RegExp(r,"gu")}pre_tokenize_text(e,r){return e.match(this.pattern)||[]}}class kn extends bt{constructor(e){super(),this.config=e}static fromConfig(e){if(e===null)return null;switch(e.type){case"TemplateProcessing":return new sb(e);case"ByteLevel":return new Am(e);case"RobertaProcessing":return new Im(e);case"BertProcessing":return new Tm(e);case"Sequence":return new ob(e);default:throw new Error(`Unknown PostProcessor type: ${e.type}`)}}post_process(e,...r){throw Error("post_process should be implemented in subclass.")}_call(e,...r){return this.post_process(e,...r)}}class Tm extends kn{constructor(e){super(e),this.cls=e.cls[0],this.sep=e.sep[0]}post_process(e,r=null,{add_special_tokens:n=!0}={}){n&&(e=lt([this.cls],e,[this.sep]));let a=new Array(e.length).fill(0);if(r!==null){const s=n&&this instanceof Im?[this.sep]:[],i=n?[this.sep]:[];e=lt(e,s,r,i),a=lt(a,new Array(r.length+s.length+i.length).fill(1))}return{tokens:e,token_type_ids:a}}}class Im extends Tm{}class sb extends kn{constructor(e){super(e),this.single=e.single,this.pair=e.pair}post_process(e,r=null,{add_special_tokens:n=!0}={}){const a=r===null?this.single:this.pair;let s=[],i=[];for(const o of a)"SpecialToken"in o?n&&(s.push(o.SpecialToken.id),i.push(o.SpecialToken.type_id)):"Sequence"in o&&(o.Sequence.id==="A"?(s=lt(s,e),i=lt(i,new Array(e.length).fill(o.Sequence.type_id))):o.Sequence.id==="B"&&(s=lt(s,r),i=lt(i,new Array(r.length).fill(o.Sequence.type_id))));return{tokens:s,token_type_ids:i}}}class Am extends kn{post_process(e,r=null){return r&&(e=lt(e,r)),{tokens:e}}}class ob extends kn{constructor(e){super(e),this.processors=e.processors.map(r=>kn.fromConfig(r))}post_process(e,r=null,n={}){let a;for(const s of this.processors)if(s instanceof Am)e=s.post_process(e).tokens,r&&(r=s.post_process(r).tokens);else{const i=s.post_process(e,r,n);e=i.tokens,a=i.token_type_ids}return{tokens:e,token_type_ids:a}}}class Pt extends bt{constructor(e){super(),this.config=e,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=e.trim_offsets}static fromConfig(e){if(e===null)return null;switch(e.type){case"WordPiece":return new pb(e);case"Metaspace":return new wb(e);case"ByteLevel":return new hb(e);case"Replace":return new ub(e);case"ByteFallback":return new lb(e);case"Fuse":return new db(e);case"Strip":return new cb(e);case"Sequence":return new mb(e);case"CTC":return new fb(e);case"BPEDecoder":return new gb(e);default:throw new Error(`Unknown Decoder type: ${e.type}`)}}_call(e){return this.decode(e)}decode(e){return this.decode_chain(e).join("")}decode_chain(e){throw Error("`decode_chain` should be implemented in subclass.")}}class ub extends Pt{decode_chain(e){const r=Ci(this.config.pattern);return r===null?e:e.map(n=>n.replaceAll(r,this.config.content))}}class lb extends Pt{constructor(e){super(e),this.text_decoder=new TextDecoder}decode_chain(e){const r=[];let n=[];for(const a of e){let s=null;if(a.length===6&&a.startsWith("<0x")&&a.endsWith(">")){const i=parseInt(a.slice(3,5),16);isNaN(i)||(s=i)}if(s!==null)n.push(s);else{if(n.length>0){const i=this.text_decoder.decode(Uint8Array.from(n));r.push(i),n=[]}r.push(a)}}if(n.length>0){const a=this.text_decoder.decode(Uint8Array.from(n));r.push(a),n=[]}return r}}class db extends Pt{decode_chain(e){return[e.join("")]}}class cb extends Pt{constructor(e){super(e),this.content=this.config.content,this.start=this.config.start,this.stop=this.config.stop}decode_chain(e){return e.map(r=>{let n=0;for(let s=0;s(n!==0&&(r.startsWith(this.config.prefix)?r=r.replace(this.config.prefix,""):r=" "+r),this.cleanup&&(r=Uo(r)),r))}}class hb extends Pt{constructor(e){super(e),this.byte_decoder=Wy,this.text_decoder=new TextDecoder("utf-8",{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(e){const r=e.join(""),n=new Uint8Array([...r].map(s=>this.byte_decoder[s]));return this.text_decoder.decode(n)}decode_chain(e){const r=[];let n=[];for(const a of e)this.added_tokens.find(s=>s.content===a)!==void 0?(n.length>0&&(r.push(this.convert_tokens_to_string(n)),n=[]),r.push(a)):n.push(a);return n.length>0&&r.push(this.convert_tokens_to_string(n)),r}}class fb extends Pt{constructor(e){super(e),this.pad_token=this.config.pad_token,this.word_delimiter_token=this.config.word_delimiter_token,this.cleanup=this.config.cleanup}convert_tokens_to_string(e){if(e.length===0)return"";const r=[e[0]];for(let s=1;ss!==this.pad_token).join("");return this.cleanup&&(a=Uo(a).replaceAll(this.word_delimiter_token," ").trim()),a}decode_chain(e){return[this.convert_tokens_to_string(e)]}}class mb extends Pt{constructor(e){super(e),this.decoders=e.decoders.map(r=>Pt.fromConfig(r))}decode_chain(e){return this.decoders.reduce((r,n)=>n.decode_chain(r),e)}}class gb extends Pt{constructor(e){super(e),this.suffix=this.config.suffix}decode_chain(e){return e.map((r,n)=>r.replaceAll(this.suffix,n===e.length-1?"":" "))}}class _b extends Pt{decode_chain(e){let r="";for(let n=1;nn.normalize("NFKC")).join("～"):e=e.normalize("NFKC"),e}}class bb extends Gt{constructor(e){super(),this.tokenizers=e.pretokenizers.map(r=>Gt.fromConfig(r))}pre_tokenize_text(e,r){return this.tokenizers.reduce((n,a)=>a.pre_tokenize(n,r),[e])}}class vb extends Gt{constructor(e){super()}pre_tokenize_text(e,r){return e.match(/\w+|[^\w\s]+/g)||[]}}class $b extends Gt{constructor(e){super()}pre_tokenize_text(e,r){return By(e)}}class xb extends Gt{constructor(e){super(),this.config=e,this.pattern=Ci(this.config.pattern),this.content=this.config.content}pre_tokenize_text(e,r){return this.pattern===null?[e]:[e.replaceAll(this.pattern,this.config.content)]}}const Sb=["bos_token","eos_token","unk_token","sep_token","pad_token","cls_token","mask_token"];function kb(t,e,r,n){for(const a of Object.keys(t)){const s=e-t[a].length,i=r(a),o=new Array(s).fill(i);t[a]=n==="right"?lt(t[a],o):lt(o,t[a])}}function Eb(t,e){for(const r of Object.keys(t))t[r].length=e}class Ce extends bt{constructor(r,n){super();N(this,"return_token_type_ids",!1);N(this,"_default_chat_template",`{% for message in messages %}{{'<|im_start|>' + message['role'] + ' +' + message['content'] + '<|im_end|>' + ' +'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant +' }}{% endif %}`);N(this,"padding_side","right");this._tokenizer_config=n,this.normalizer=Rt.fromConfig(r.normalizer),this.pre_tokenizer=Gt.fromConfig(r.pre_tokenizer),this.model=ca.fromConfig(r.model,n),this.post_processor=kn.fromConfig(r.post_processor),this.decoder=Pt.fromConfig(r.decoder),this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];for(const a of r.added_tokens){const s=new Fy(a);this.added_tokens.push(s),this.model.tokens_to_ids.set(s.content,s.id),this.model.vocab[s.id]=s.content,s.special&&(this.special_tokens.push(s.content),this.all_special_ids.push(s.id))}if(this.additional_special_tokens=n.additional_special_tokens??[],this.special_tokens.push(...this.additional_special_tokens),this.special_tokens=[...new Set(this.special_tokens)],this.decoder&&(this.decoder.added_tokens=this.added_tokens,this.decoder.end_of_word_suffix=this.model.end_of_word_suffix),this.added_tokens_regex=this.added_tokens.length>0?new RegExp(this.added_tokens.toSorted((a,s)=>s.content.length-a.content.length).map(a=>`${a.lstrip?"\\s*":""}(${xu(a.content)})${a.rstrip?"\\s*":""}`).join("|")):null,this.mask_token=this.getToken("mask_token"),this.mask_token_id=this.model.tokens_to_ids.get(this.mask_token),this.pad_token=this.getToken("pad_token","eos_token"),this.pad_token_id=this.model.tokens_to_ids.get(this.pad_token),this.sep_token=this.getToken("sep_token"),this.sep_token_id=this.model.tokens_to_ids.get(this.sep_token),this.unk_token=this.getToken("unk_token"),this.unk_token_id=this.model.tokens_to_ids.get(this.unk_token),this.model_max_length=n.model_max_length,this.remove_space=n.remove_space,this.clean_up_tokenization_spaces=n.clean_up_tokenization_spaces??!0,this.do_lowercase_and_remove_accent=n.do_lowercase_and_remove_accent??!1,n.padding_side&&(this.padding_side=n.padding_side),this.legacy=!1,this.chat_template=n.chat_template??null,Array.isArray(this.chat_template)){const a=Object.create(null);for(const{name:s,template:i}of this.chat_template){if(typeof s!="string"||typeof i!="string")throw new Error('Chat template must be a list of objects with "name" and "template" properties');a[s]=i}this.chat_template=a}this._compiled_template_cache=new Map}getToken(...r){for(const n of r){const a=this._tokenizer_config[n];if(a)if(typeof a=="object"){if(a.__type==="AddedToken")return a.content;throw Error(`Unknown token: ${a}`)}else return a}return null}static async from_pretrained(r,{progress_callback:n=null,config:a=null,cache_dir:s=null,local_files_only:i=!1,revision:o="main",legacy:u=null}={}){const l=await xm(r,{progress_callback:n,config:a,cache_dir:s,local_files_only:i,revision:o,legacy:u});return new this(...l)}_call(r,{text_pair:n=null,add_special_tokens:a=!0,padding:s=!1,truncation:i=null,max_length:o=null,return_tensor:u=!0,return_token_type_ids:l=null}={}){const c=Array.isArray(r);let h;if(c){if(r.length===0)throw Error("text array must be non-empty");if(n!==null){if(Array.isArray(n)){if(r.length!==n.length)throw Error("text and text_pair must have the same length")}else throw Error("text_pair must also be an array");h=r.map((_,p)=>this._encode_plus(_,{text_pair:n[p],add_special_tokens:a,return_token_type_ids:l}))}else h=r.map(_=>this._encode_plus(_,{add_special_tokens:a,return_token_type_ids:l}))}else{if(r==null)throw Error("text may not be null or undefined");if(Array.isArray(n))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");h=[this._encode_plus(r,{text_pair:n,add_special_tokens:a,return_token_type_ids:l})]}if(o===null?s==="max_length"?o=this.model_max_length:o=wr(h.map(_=>_.input_ids.length))[0]:i||console.warn("Truncation was not explicitly activated but `max_length` is provided a specific value, please use `truncation=true` to explicitly truncate examples to max length."),o=Math.min(o,this.model_max_length??1/0),s||i)for(let _=0;_o?i&&Eb(h[_],o):s&&kb(h[_],o,p=>p==="input_ids"?this.pad_token_id:0,this.padding_side));const m={};if(u){if(!(s&&i)&&h.some(p=>{var y;for(const v of Object.keys(p))if(p[v].length!==((y=h[0][v])==null?void 0:y.length))return!0;return!1}))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=true' and 'truncation=true' to have batched tensors with the same length.");const _=[h.length,h[0].input_ids.length];for(const p of Object.keys(h[0]))m[p]=new fe("int64",BigInt64Array.from(h.flatMap(y=>y[p]).map(BigInt)),_)}else{for(const _ of Object.keys(h[0]))m[_]=h.map(p=>p[_]);if(!c)for(const _ of Object.keys(m))m[_]=m[_][0]}return m}_encode_text(r){return r===null?null:(this.added_tokens_regex?r.split(this.added_tokens_regex).filter(s=>s):[r]).map((s,i)=>{if(this.added_tokens.find(u=>u.content===s)!==void 0)return s;{if(this.remove_space===!0&&(s=s.trim().split(/\s+/).join(" ")),this.do_lowercase_and_remove_accent&&(s=Ry(s)),this.normalizer!==null&&(s=this.normalizer(s)),s.length===0)return[];const u=this.pre_tokenizer!==null?this.pre_tokenizer(s,{section_index:i}):[s];return this.model(u)}}).flat()}_encode_plus(r,{text_pair:n=null,add_special_tokens:a=!0,return_token_type_ids:s=null}={}){const{tokens:i,token_type_ids:o}=this._tokenize_helper(r,{pair:n,add_special_tokens:a}),u=this.model.convert_tokens_to_ids(i),l={input_ids:u,attention_mask:new Array(u.length).fill(1)};return(s??this.return_token_type_ids)&&o&&(l.token_type_ids=o),l}_tokenize_helper(r,{pair:n=null,add_special_tokens:a=!1}={}){const s=this._encode_text(r),i=this._encode_text(n);return this.post_processor?this.post_processor(s,i,{add_special_tokens:a}):{tokens:lt(s??[],i??[])}}tokenize(r,{pair:n=null,add_special_tokens:a=!1}={}){return this._tokenize_helper(r,{pair:n,add_special_tokens:a}).tokens}encode(r,{text_pair:n=null,add_special_tokens:a=!0,return_token_type_ids:s=null}={}){return this._encode_plus(r,{text_pair:n,add_special_tokens:a,return_token_type_ids:s}).input_ids}batch_decode(r,n={}){return r instanceof fe&&(r=r.tolist()),r.map(a=>this.decode(a,n))}decode(r,n={}){if(r instanceof fe&&(r=Sm(r)),!Array.isArray(r)||r.length===0||!i0(r[0]))throw Error("token_ids must be a non-empty array of integers.");return this.decode_single(r,n)}decode_single(r,{skip_special_tokens:n=!1,clean_up_tokenization_spaces:a=null}){let s=this.model.convert_ids_to_tokens(r);n&&(s=s.filter(o=>!this.special_tokens.includes(o)));let i=this.decoder?this.decoder(s):s.join(" ");return this.decoder&&this.decoder.end_of_word_suffix&&(i=i.replaceAll(this.decoder.end_of_word_suffix," "),n&&(i=i.trim())),(a??this.clean_up_tokenization_spaces)&&(i=Uo(i)),i}get default_chat_template(){return this._warned_about_chat_template||(console.warn("No chat template is defined for this tokenizer - using a default chat template that implements the ChatML format. If the default is not appropriate for your model, please set `tokenizer.chat_template` to an appropriate template. See https://huggingface.co./docs/transformers/main/chat_templating for more information."),this._warned_about_chat_template=!0),this._default_chat_template}apply_chat_template(r,{chat_template:n=null,add_generation_prompt:a=!1,tokenize:s=!0,padding:i=!1,truncation:o=!1,max_length:u=null,return_tensor:l=!0,return_dict:c=!1,tokenizer_kwargs:h={},...m}={}){if(this.chat_template&&typeof this.chat_template=="object"||this.chat_template===null&&this.default_chat_template&&typeof this.default_chat_template=="object"){const v=this.chat_template??this.default_chat_template;if(n!==null&&Object.hasOwn(v,n))n=v[n];else if(n===null&&"default"in v)n=v.default;else if(n===null)throw Error(`This model has multiple chat templates with no default specified! Please either pass a chat template or the name of the template you wish to use to the 'chat_template' argument. Available template names are ${Object.keys(v).sort()}.`)}else n??(n=this.chat_template??this.default_chat_template);if(typeof n!="string")throw Error(`chat_template must be a string, but got ${typeof n}`);let _=this._compiled_template_cache.get(n);_===void 0&&(_=new My(n),this._compiled_template_cache.set(n,_));const p=Object.create(null);for(const v of Sb){const S=this.getToken(v);S&&(p[v]=S)}const y=_.render({messages:r,add_generation_prompt:a,...p,...m});if(s){const v=this._call(y,{add_special_tokens:!1,padding:i,truncation:o,max_length:u,return_tensor:l,...h});return c?v:v.input_ids}return y}}class Cb extends Ce{constructor(){super(...arguments);N(this,"return_token_type_ids",!0)}}class Tb extends Ce{constructor(){super(...arguments);N(this,"return_token_type_ids",!0)}}class Ib extends Ce{constructor(){super(...arguments);N(this,"return_token_type_ids",!0)}}class Ab extends Ce{constructor(){super(...arguments);N(this,"return_token_type_ids",!0)}}class Mb extends Ce{constructor(){super(...arguments);N(this,"return_token_type_ids",!0)}}class Ob extends Ce{constructor(){super(...arguments);N(this,"return_token_type_ids",!0)}}class zb extends Ce{constructor(){super(...arguments);N(this,"return_token_type_ids",!0)}}class Rb extends Ce{constructor(){super(...arguments);N(this,"return_token_type_ids",!0)}}class Pb extends Ce{constructor(){super(...arguments);N(this,"return_token_type_ids",!0)}}class Bb extends Ce{}class Db extends Ce{}class Nb extends Ce{constructor(r,n){super(r,n);N(this,"return_token_type_ids",!0);console.warn('WARNING: `XLMTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}}class Fb extends Ce{constructor(){super(...arguments);N(this,"return_token_type_ids",!0)}}class Lb extends Ce{}class Om extends Ce{constructor(){super(...arguments);N(this,"_default_chat_template",'{% for message in messages %}" "{{ message.content }}{{ eos_token }}" "{% endfor %}')}}class Ub extends Ce{}class zm extends Ce{constructor(e,r){super(e,r),this.languageRegex=/^[a-z]{2}_[A-Z]{2}$/,this.language_codes=this.special_tokens.filter(n=>this.languageRegex.test(n)),this.lang_to_token=n=>n}_build_translation_inputs(e,r,n){return Wo(this,e,r,n)}}class Wb extends zm{}class Vb extends Ce{}class Gb extends Om{constructor(e,r){var s,i;const n=".,!?…。，、।۔،",a=(i=(s=e.pre_tokenizer)==null?void 0:s.pretokenizers[0])==null?void 0:i.pattern;a&&a.Regex===` ?[^(\\s|[${n}])]+`&&(a.Regex=` ?[^\\s${n}]+`),super(e,r)}}const Ti="▁";class Rm extends Ce{constructor(r,n){super(r,n);N(this,"_default_chat_template",`{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% elif USE_DEFAULT_PROMPT == true and not '<>' in messages[0]['content'] %}{% set loop_messages = messages %}{% set system_message = 'DEFAULT_SYSTEM_MESSAGE' %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<> +' + system_message + ' +<> + +' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content.strip() + ' [/INST]' }}{% elif message['role'] == 'system' %}{{ '<> +' + content.strip() + ' +<> + +' }}{% elif message['role'] == 'assistant' %}{{ ' ' + content.strip() + ' ' + eos_token }}{% endif %}{% endfor %}`);N(this,"DEFAULT_SYSTEM_PROMPT",`You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. + +If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.`);N(this,"padding_side","left");this.use_default_system_prompt=n.use_default_system_prompt??!1,this.legacy=n.legacy??!0,this.legacy||(this.normalizer=null,this.pre_tokenizer=new Mm({replacement:Ti,add_prefix_space:!0,prepend_scheme:"first"}))}_encode_text(r){if(r===null)return null;if(this.legacy||r.length===0)return super._encode_text(r);let n=super._encode_text(Ti+r.replaceAll(Ti," "));return n.length>1&&n[0]===Ti&&this.special_tokens.includes(n[1])&&(n=n.slice(1)),n}get default_chat_template(){return super.default_chat_template.replaceAll("USE_DEFAULT_PROMPT",this.use_default_system_prompt?"true":"false").replaceAll("DEFAULT_SYSTEM_MESSAGE",this.DEFAULT_SYSTEM_PROMPT.replaceAll(` +`,"\\n").replaceAll("'","\\'"))}}class Hb extends Rm{}class jb extends Ce{}class qb extends Ce{}class Kb extends Ce{}class Yb extends Ce{}class Xb extends Ce{}class Qb extends Ce{}class Jb extends Ce{constructor(){super(...arguments);N(this,"_default_chat_template",`{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '' + role + ' +' + message['content'] | trim + ' +' }}{% endfor %}{% if add_generation_prompt %}{{'model +'}}{% endif %}`)}}class Zb extends Ce{}function Wo(t,e,r,n){if(!("language_codes"in t)||!Array.isArray(t.language_codes))throw new Error("Tokenizer must have `language_codes` attribute set and it should be an array of language ids.");if(!("languageRegex"in t)||!(t.languageRegex instanceof RegExp))throw new Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression.");if(!("lang_to_token"in t)||typeof t.lang_to_token!="function")throw new Error("Tokenizer must have `lang_to_token` attribute set and it should be a function.");const a=n.src_lang,s=n.tgt_lang;if(!t.language_codes.includes(s))throw new Error(`Target language code "${s}" is not valid. Must be one of: {${t.language_codes.join(", ")}}`);if(a!==void 0){if(!t.language_codes.includes(a))throw new Error(`Source language code "${a}" is not valid. Must be one of: {${t.language_codes.join(", ")}}`);for(const i of t.post_processor.config.single)if("SpecialToken"in i&&t.languageRegex.test(i.SpecialToken.id)){i.SpecialToken.id=t.lang_to_token(a);break}}return n.forced_bos_token_id=t.model.convert_tokens_to_ids([t.lang_to_token(s)])[0],t._call(e,r)}class ev extends Ce{constructor(e,r){super(e,r),this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.special_tokens.filter(n=>this.languageRegex.test(n)),this.lang_to_token=n=>n}_build_translation_inputs(e,r,n){return Wo(this,e,r,n)}}class tv extends Ce{constructor(e,r){super(e,r),this.languageRegex=/^__[a-z]{2,3}__$/,this.language_codes=this.special_tokens.filter(n=>this.languageRegex.test(n)).map(n=>n.slice(2,-2)),this.lang_to_token=n=>`__${n}__`}_build_translation_inputs(e,r,n){return Wo(this,e,r,n)}}class rv extends Ce{constructor(){super(...arguments);N(this,"_default_chat_template",'{% for message in messages %}" "{{ message.content }}{{ eos_token }}" "{% endfor %}')}get timestamp_begin(){return this.model.convert_tokens_to_ids(["<|notimestamps|>"])[0]+1}_decode_asr(r,{return_timestamps:n=!1,return_language:a=!1,time_precision:s=null,force_full_sequences:i=!0}={}){if(s===null)throw Error("Must specify time_precision");let o=null;const u=n==="word";function l(){return{language:o,timestamp:[null,null],text:""}}const c=[];let h=l(),m=0;const _=this.timestamp_begin;let p=[],y=[],v=!1,S=null;const x=new Set(this.all_special_ids);for(const I of r){const R=I.tokens,P=u?I.token_timestamps:null;let G=null,j=_;if("stride"in I){const[ne,te,se]=I.stride;if(m-=te,S=ne-se,te&&(j=te/s+_),se)for(let D=R.length-1;D>=0;--D){const M=Number(R[D]);if(M>=_){if(G!==null&&(M-_)*s=_){const se=(te-_)*s+m,D=Ja(se,2);if(G!==null&&te>=G)v=!0;else if(v||p.length>0&&te0?(p.push(K),u&&y.push(he)):p.every(ne=>ne.length===0)&&(h=l(),p=[],K=[],y=[],he=[])}if(p.length>0){if(i&&n)throw new Error("Whisper did not predict an ending timestamp, which can happen if audio is cut off in the middle of a word. Also make sure WhisperTimeStampLogitsProcessor was used during generation.");const[I,R]=this.findLongestCommonSequence(p,y),P=this.decode(I);h.text=P,u&&(h.words=this.collateWordTimestamps(I,R,o)),c.push(h)}let C=Object.create(null);const T=c.map(I=>I.text).join("");if(n||a){for(let I=0;I0;let u=o?[]:null,l=o?n[0]:null;for(let c=1;cD===ne[M]).length,se=te/I+R;te>1&&se>m&&(m=se,_=[P,G,K,he])}const[y,v,S,x]=_,C=Math.floor((v+y)/2),T=Math.floor((x+S)/2);i.push(...a.slice(0,C)),a=h.slice(T),s=a.length,o&&(u.push(...l.slice(0,C)),l=n[c].slice(T))}return i.push(...a),o?(u.push(...l),[i,u]):[i,[]]}collateWordTimestamps(r,n,a){const[s,i,o]=this.combineTokensIntoWords(r,a),u=[];for(let l=0;l=s){const u=((o-s)*a).toFixed(2);i.push(`<|${u}|>`),i.push([])}else i[i.length-1].push(o);return i=i.map(o=>typeof o=="string"?o:super.decode(o,n)),i.join("")}splitTokensOnUnicode(r){const n=this.decode(r,{decode_with_timestamps:!0}),a="�",s=[],i=[],o=[];let u=[],l=[],c=0;for(let h=0;h=this.model.tokens_to_ids.get("<|endoftext|>"),y=h.startsWith(" "),v=h.trim(),S=l.test(v);if(p||y||S||i.length===0)i.push(h),o.push(m),u.push(_);else{const x=i.length-1;i[x]+=h,o[x].push(...m),u[x].push(..._)}}return[i,o,u]}mergePunctuations(r,n,a,s,i){const o=structuredClone(r),u=structuredClone(n),l=structuredClone(a);let c=o.length-2,h=o.length-1;for(;c>=0;)o[c].startsWith(" ")&&s.includes(o[c].trim())?(o[h]=o[c]+o[h],u[h]=lt(u[c],u[h]),l[h]=lt(l[c],l[h]),o[c]="",u[c]=[],l[c]=[]):h=c,--c;for(c=0,h=1;hm),u.filter(m=>m.length>0),l.filter(m=>m.length>0)]}get_decoder_prompt_ids({language:r=null,task:n=null,no_timestamps:a=!0}={}){const s=[];if(r){const i=$m(r),o=this.model.tokens_to_ids.get(`<|${i}|>`);if(o===void 0)throw new Error(`Unable to find language "${i}" in model vocabulary. Please report this issue at ${Fo}.`);s.push(o)}else s.push(null);if(n){if(n=n.toLowerCase(),n!=="transcribe"&&n!=="translate")throw new Error(`Task "${n}" is not supported. Must be one of: ["transcribe", "translate"]`);const i=this.model.tokens_to_ids.get(`<|${n}|>`);if(i===void 0)throw new Error(`Unable to find task "${n}" in model vocabulary. Please report this issue at ${Fo}.`);s.push(i)}else s.push(null);if(a){const i=this.model.tokens_to_ids.get("<|notimestamps|>");if(i===void 0)throw new Error(`Unable to find "<|notimestamps|>" in model vocabulary. Please report this issue at ${Fo}.`);s.push(i)}return s.map((i,o)=>[o+1,i]).filter(i=>i[1]!==null)}}class nv extends Ce{}class av extends Ce{}class iv extends Ce{}class sv extends Ce{constructor(e,r){super(e,r),this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=this.model.vocab.filter(n=>this.languageRegex.test(n)),console.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}_encode_text(e){if(e===null)return null;const[r,...n]=e.trim().split(this.languageRegex);if(n.length===0)return super._encode_text(r);if(n.length===2){const[a,s]=n;return this.supported_language_codes.includes(a)||console.warn(`Unsupported language code "${a}" detected, which may lead to unexpected behavior. Should be one of: ${JSON.stringify(this.supported_language_codes)}`),lt([a],super._encode_text(s))}}}class ov extends Ce{}class Pm extends Ce{constructor(){super(...arguments);N(this,"_default_chat_template","{% for message in messages %}{% if message['role'] == 'user' %}{{ ' ' }}{% endif %}{{ message['content'] }}{% if not loop.last %}{{ ' ' }}{% endif %}{% endfor %}{{ eos_token }}")}}class uv extends Pm{}class lv extends Ce{}class dv extends Ce{}class cv extends Ce{constructor(e,r){super(e,r),this.decoder=new _b({})}}class pv extends Ce{}class Bm{static async from_pretrained(e,{progress_callback:r=null,config:n=null,cache_dir:a=null,local_files_only:s=!1,revision:i="main",legacy:o=null}={}){var m;const[u,l]=await xm(e,{progress_callback:r,config:n,cache_dir:a,local_files_only:s,revision:i,legacy:o}),c=((m=l.tokenizer_class)==null?void 0:m.replace(/Fast$/,""))??"PreTrainedTokenizer";let h=this.TOKENIZER_CLASS_MAPPING[c];return h||(console.warn(`Unknown tokenizer class "${c}", attempting to construct from base class.`),h=Ce),new h(u,l)}}N(Bm,"TOKENIZER_CLASS_MAPPING",{T5Tokenizer:Lb,DistilBertTokenizer:Bb,CamembertTokenizer:Db,DebertaTokenizer:Mb,DebertaV2Tokenizer:Ob,BertTokenizer:Cb,HerbertTokenizer:zb,ConvBertTokenizer:Rb,RoFormerTokenizer:Pb,XLMTokenizer:Nb,ElectraTokenizer:Fb,MobileBertTokenizer:Ib,SqueezeBertTokenizer:Ab,AlbertTokenizer:Tb,GPT2Tokenizer:Om,BartTokenizer:Ub,MBartTokenizer:zm,MBart50Tokenizer:Wb,RobertaTokenizer:Vb,WhisperTokenizer:rv,CodeGenTokenizer:nv,CLIPTokenizer:av,SiglipTokenizer:iv,MarianTokenizer:sv,BloomTokenizer:Gb,NllbTokenizer:ev,M2M100Tokenizer:tv,LlamaTokenizer:Rm,CodeLlamaTokenizer:Hb,XLMRobertaTokenizer:jb,MPNetTokenizer:qb,FalconTokenizer:Kb,GPTNeoXTokenizer:Yb,EsmTokenizer:Xb,Wav2Vec2CTCTokenizer:ov,BlenderbotTokenizer:Pm,BlenderbotSmallTokenizer:uv,SpeechT5Tokenizer:lv,NougatTokenizer:dv,VitsTokenizer:cv,Qwen2Tokenizer:Qb,GemmaTokenizer:Jb,Grok1Tokenizer:Zb,CohereTokenizer:pv,PreTrainedTokenizer:Ce});async function hv(t,e){return await Ar(t,"config.json",!0,e)}function pa(t){const e={};let r={};switch(t.model_type){case"llava":case"paligemma":case"florence2":r=pa(t.text_config);break;case"moondream1":r=pa(t.phi_config);break;case"musicgen":r=pa(t.decoder);break;case"gpt2":case"gptj":case"codegen":case"gpt_bigcode":e.num_heads="n_head",e.num_layers="n_layer",e.hidden_size="n_embd";break;case"gpt_neox":case"stablelm":case"opt":case"phi":case"phi3":case"falcon":e.num_heads="num_attention_heads",e.num_layers="num_hidden_layers",e.hidden_size="hidden_size";break;case"llama":case"cohere":case"mistral":case"starcoder2":case"qwen2":e.num_heads="num_key_value_heads",e.num_layers="num_hidden_layers",e.hidden_size="hidden_size",e.num_attention_heads="num_attention_heads";break;case"gemma":e.num_heads="num_key_value_heads",e.num_layers="num_hidden_layers",e.dim_kv="head_dim";break;case"openelm":e.num_heads="num_kv_heads",e.num_layers="num_transformer_layers",e.dim_kv="head_dim";break;case"gpt_neo":case"donut-swin":e.num_heads="num_heads",e.num_layers="num_layers",e.hidden_size="hidden_size";break;case"bloom":e.num_heads="n_head",e.num_layers="n_layer",e.hidden_size="hidden_size";break;case"mpt":e.num_heads="n_heads",e.num_layers="n_layers",e.hidden_size="d_model";break;case"t5":case"mt5":case"longt5":e.num_decoder_layers="num_decoder_layers",e.num_decoder_heads="num_heads",e.decoder_dim_kv="d_kv",e.num_encoder_layers="num_layers",e.num_encoder_heads="num_heads",e.encoder_dim_kv="d_kv";break;case"bart":case"mbart":case"marian":case"whisper":case"m2m_100":case"blenderbot":case"blenderbot-small":case"florence2_language":e.num_decoder_layers="decoder_layers",e.num_decoder_heads="decoder_attention_heads",e.decoder_hidden_size="d_model",e.num_encoder_layers="encoder_layers",e.num_encoder_heads="encoder_attention_heads",e.encoder_hidden_size="d_model";break;case"speecht5":e.num_decoder_layers="decoder_layers",e.num_decoder_heads="decoder_attention_heads",e.decoder_hidden_size="hidden_size",e.num_encoder_layers="encoder_layers",e.num_encoder_heads="encoder_attention_heads",e.encoder_hidden_size="hidden_size";break;case"trocr":e.num_encoder_layers=e.num_decoder_layers="decoder_layers",e.num_encoder_heads=e.num_decoder_heads="decoder_attention_heads",e.encoder_hidden_size=e.decoder_hidden_size="d_model";break;case"musicgen_decoder":e.num_encoder_layers=e.num_decoder_layers="num_hidden_layers",e.num_encoder_heads=e.num_decoder_heads="num_attention_heads",e.encoder_hidden_size=e.decoder_hidden_size="hidden_size";break;case"vision-encoder-decoder":const a=pa(t.decoder),s="num_decoder_layers"in a,i=gr(t,["model_type","is_encoder_decoder"]);return s?(i.num_decoder_layers=a.num_decoder_layers,i.num_decoder_heads=a.num_decoder_heads,i.decoder_hidden_size=a.decoder_hidden_size,i.num_encoder_layers=a.num_encoder_layers,i.num_encoder_heads=a.num_encoder_heads,i.encoder_hidden_size=a.encoder_hidden_size):(i.num_layers=a.num_layers,i.num_heads=a.num_heads,i.hidden_size=a.hidden_size),i}const n={...r,...gr(t,["model_type","multi_query","is_encoder_decoder"])};for(const a in e)n[a]=t[e[a]];return n}function Dm(t,{prefix:e="past_key_values"}={}){const r={},n=t.normalized_config,a=1;if(n.is_encoder_decoder&&"num_encoder_heads"in n&&"num_decoder_heads"in n){const s=n.encoder_dim_kv??n.encoder_hidden_size/n.num_encoder_heads,i=n.decoder_dim_kv??n.decoder_hidden_size/n.num_decoder_heads,o=[a,n.num_encoder_heads,0,s],u=[a,n.num_decoder_heads,0,i];for(let l=0;l=1&&i[i.length-1]>=this.timestamp_begin,u=i.length<2||i[i.length-2]>=this.timestamp_begin;if(o&&(u?s.subarray(this.timestamp_begin).fill(-1/0):s.subarray(0,this.eos_token_id).fill(-1/0)),e[n].length===this.begin_index&&this.max_initial_timestamp_index!==null){const m=this.timestamp_begin+this.max_initial_timestamp_index;s.subarray(m+1).fill(-1/0)}const l=p0(s),c=Math.log(l.subarray(this.timestamp_begin).map(Math.exp).reduce((m,_)=>m+_)),h=wr(l.subarray(0,this.timestamp_begin))[0];c>h&&s.subarray(0,this.timestamp_begin).fill(-1/0)}return r}}class yv extends pr{constructor(e){super(),this.no_repeat_ngram_size=e}getNgrams(e){const r=e.length,n=[];for(let s=0;s1 to use the classifier free guidance processor, got guidance scale ${e}.`);this.guidance_scale=e}_call(e,r){if(r.dims[0]!==2*e.length)throw new Error(`Logits should have twice the batch size of the input ids, the first half of batches corresponding to the conditional inputs, and the second half of batches corresponding to the unconditional inputs. Got batch size ${r.dims[0]} for the logits and ${e.length} for the input ids.`);const n=e.length,a=r.slice([0,n],null),s=r.slice([n,r.dims[0]],null);for(let i=0;i1)throw new Error(`\`top_p\` must be a float > 0 and < 1, but is ${e}`);if(!Number.isInteger(n)||n<1)throw new Error(`\`min_tokens_to_keep\` must be a positive integer, but is ${n}`);this.top_p=e,this.filter_value=r,this.min_tokens_to_keep=n}}class Cv extends Vo{constructor(e,{filter_value:r=-1/0,min_tokens_to_keep:n=1}={}){if(super(),!Number.isInteger(e)||e<0)throw new Error(`\`top_k\` must be a positive integer, but is ${e}`);this.top_k=Math.max(e,n),this.filter_value=r}}class Um{constructor(e){N(this,"max_length",20);N(this,"max_new_tokens",null);N(this,"min_length",0);N(this,"min_new_tokens",null);N(this,"early_stopping",!1);N(this,"max_time",null);N(this,"do_sample",!1);N(this,"num_beams",1);N(this,"num_beam_groups",1);N(this,"penalty_alpha",null);N(this,"use_cache",!0);N(this,"temperature",1);N(this,"top_k",50);N(this,"top_p",1);N(this,"typical_p",1);N(this,"epsilon_cutoff",0);N(this,"eta_cutoff",0);N(this,"diversity_penalty",0);N(this,"repetition_penalty",1);N(this,"encoder_repetition_penalty",1);N(this,"length_penalty",1);N(this,"no_repeat_ngram_size",0);N(this,"bad_words_ids",null);N(this,"force_words_ids",null);N(this,"renormalize_logits",!1);N(this,"constraints",null);N(this,"forced_bos_token_id",null);N(this,"forced_eos_token_id",null);N(this,"remove_invalid_values",!1);N(this,"exponential_decay_length_penalty",null);N(this,"suppress_tokens",null);N(this,"begin_suppress_tokens",null);N(this,"forced_decoder_ids",null);N(this,"guidance_scale",null);N(this,"num_return_sequences",1);N(this,"output_attentions",!1);N(this,"output_hidden_states",!1);N(this,"output_scores",!1);N(this,"return_dict_in_generate",!1);N(this,"pad_token_id",null);N(this,"bos_token_id",null);N(this,"eos_token_id",null);N(this,"encoder_no_repeat_ngram_size",0);N(this,"decoder_start_token_id",null);N(this,"generation_kwargs",{});Object.assign(this,gr(e,Object.getOwnPropertyNames(this)))}}class Oi extends bt{_call(e,r){throw Error("StoppingCriteria needs to be subclassed")}}class Go extends bt{constructor(){super(),this.criteria=[]}push(e){this.criteria.push(e)}extend(e){e instanceof Go?e=e.criteria:e instanceof Oi&&(e=[e]),this.criteria.push(...e)}_call(e,r){const n=new Array(e.length).fill(!1);for(const a of this.criteria){const s=a(e,r);for(let i=0;ir.length>=this.max_length)}}class Iv extends Oi{constructor(e){super(),Array.isArray(e)||(e=[e]),this.eos_token_id=e}_call(e,r){return e.map(n=>{const a=n.at(-1);return this.eos_token_id.some(s=>a==s)})}}class zi extends bt{constructor(e){super(),this.generation_config=e}async _call(e){return this.sample(e)}async sample(e){throw Error("sample should be implemented in subclasses.")}getLogits(e,r){let n=e.dims.at(-1),a=e.data;if(r===-1)a=a.slice(-n);else{let s=r*n;a=a.slice(s,s+n)}return a}randomSelect(e){let r=0;for(let a=0;a1)return new Ov(e);if(e.num_return_sequences>1)throw Error(`num_return_sequences has to be 1 when doing greedy search, but is ${e.num_return_sequences}.`);return new Av(e)}}class Av extends zi{async sample(e){const r=wr(e.data)[1];return[[BigInt(r),0]]}}class Mv extends zi{async sample(e){let r=e.dims.at(-1);this.generation_config.top_k>0&&(r=Math.min(this.generation_config.top_k,r));const[n,a]=await lm(e,r),s=Vn(n.data);return Array.from({length:this.generation_config.num_beams},()=>{const i=this.randomSelect(s);return[a.data[i],Math.log(s[i])]})}}class Ov extends zi{async sample(e){let r=e.dims.at(-1);this.generation_config.top_k>0&&(r=Math.min(this.generation_config.top_k,r));const[n,a]=await lm(e,r),s=Vn(n.data);return Array.from({length:this.generation_config.num_beams},(i,o)=>[a.data[o],Math.log(s[o])])}}class zv extends Um{constructor(){super(...arguments);N(this,"return_timestamps",null);N(this,"return_token_timestamps",null);N(this,"num_frames",null);N(this,"alignment_heads",null);N(this,"task",null);N(this,"language",null);N(this,"no_timestamps_token_id",null);N(this,"prompt_ids",null);N(this,"is_multilingual",null);N(this,"lang_to_id",null);N(this,"task_to_id",null);N(this,"max_initial_timestamp_index",1)}}const $e={EncoderOnly:0,EncoderDecoder:1,Seq2Seq:2,Vision2Seq:3,DecoderOnly:4,MaskGeneration:5,ImageTextToText:6,Musicgen:7},Ri=new Map,Wm=new Map,ha=new Map;async function Rv(t,e,r){let n=r.device;n&&typeof n!="string"&&(n.hasOwnProperty(e)?n=n[e]:(console.warn(`device not specified for "${e}". Using the default device.`),n=null));const a=Xw(n);let s=r.dtype;if(typeof s!="string"&&(s&&s.hasOwnProperty(e)?s=s[e]:(s=mv[a[0]],console.warn(`dtype not specified for "${e}". Using the default dtype for this device (${s}).`))),Fm.hasOwnProperty(s)){if(s===Tt.fp16&&!await fv())throw new Error("The device does not support fp16.")}else throw new Error(`Invalid dtype: ${s}. Should be one of: ${Object.keys(Tt).join(", ")}`);const i=Fm[s],o=`${r.subfolder??""}/${e}${i}.onnx`,u={...r.session_options};u.executionProviders??(u.executionProviders=a);const l=Xa(t,o,!0,r);let c=[];if(r.use_external_data_format&&(r.use_external_data_format===!0||typeof r.use_external_data_format=="object"&&r.use_external_data_format.hasOwnProperty(e)&&r.use_external_data_format[e]===!0)){if(Ir.IS_NODE_ENV)throw new Error("External data format is not yet supported in Node.js");const m=`${e}${i}.onnx_data`,_=`${r.subfolder??""}/${m}`;c.push(new Promise(async(p,y)=>{const v=await Xa(t,_,!0,r);p({path:m,data:v})}))}else u.externalData!==void 0&&(c=u.externalData.map(async m=>{if(typeof m.data=="string"){const _=await Xa(t,m.data,!0,r);return{...m,data:_}}return m}));if(c.length>0&&(u.externalData=await Promise.all(c)),n==="webgpu"){const m=Dm(r.config,{prefix:"present"});if(Object.keys(m).length>0){const _={};for(const p in m)_[p]="gpu-buffer";u.preferredOutputLocation=_}}return{buffer:await l,session_options:u}}async function en(t,e,r){const n=Object.keys(e),a=await Promise.all(n.map(async i=>Rv(t,e[i],r))),s={};for(let i=0;i0)throw new Error(`An error occurred during model execution: "Missing the following inputs: ${n.join(", ")}.`);const a=Object.keys(e).length,s=t.inputNames.length;if(a>s){let i=Object.keys(e).filter(o=>!t.inputNames.includes(o));console.warn(`WARNING: Too many inputs were provided (${a} > ${s}). The following inputs will be ignored: "${i.join(", ")}".`)}return r}async function Pr(t,e){const r=Pv(t,e);try{const n=Object.fromEntries(Object.entries(r).map(([s,i])=>[s,i.ort_tensor]));let a=await t.run(n);return a=Vm(a),a}catch(n){throw console.error(`An error occurred during model execution: "${n}".`),console.error("Inputs given to model:",r),n}}function Vm(t){for(let e in t)im(t[e])?t[e]=new fe(t[e]):typeof t[e]=="object"&&Vm(t[e]);return t}function Gm(t){if(t instanceof fe)return t;if(t.length===0)throw Error("items must be non-empty");if(Array.isArray(t[0])){if(t.some(e=>e.length!==t[0].length))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' and/or 'truncation=True' to have batched tensors with the same length.");return new fe("int64",BigInt64Array.from(t.flat().map(e=>BigInt(e))),[t.length,t[0].length])}else return new fe("int64",BigInt64Array.from(t.map(e=>BigInt(e))),[1,t.length])}function Hm(t){return new fe("bool",[t],[1])}async function jm(t,e){let{encoder_outputs:r,past_key_values:n}=e;if(!r){const u=gr(e,t.sessions.model.inputNames);r=(await En(t,u)).last_hidden_state}const{input_ids:a,decoder_input_ids:s,...i}=e;return i.input_ids=s,i.encoder_hidden_states=r,t.sessions.decoder_model_merged.inputNames.includes("encoder_attention_mask")&&(i.encoder_attention_mask=e.attention_mask),await Pi(t,i,!0)}async function En(t,e){const r=t.sessions.model,n=gr(e,r.inputNames);if(r.inputNames.includes("inputs_embeds")&&!n.inputs_embeds){if(!e.input_ids)throw new Error("Both `input_ids` and `inputs_embeds` are missing in the model inputs.");n.inputs_embeds=await t.encode_text({input_ids:e.input_ids})}return r.inputNames.includes("token_type_ids")&&!n.token_type_ids&&(n.token_type_ids=new fe("int64",new BigInt64Array(n.input_ids.data.length),n.input_ids.dims)),await Pr(r,n)}async function Pi(t,e,r=!1){const n=t.sessions[r?"decoder_model_merged":"model"],{past_key_values:a,...s}=e;n.inputNames.includes("use_cache_branch")&&(s.use_cache_branch=Hm(!!a)),n.inputNames.includes("position_ids")&&s.attention_mask&&!s.position_ids&&(s.position_ids=Dv(s,a)),t.addPastKeyValues(s,a);const i=gr(s,n.inputNames);return await Pr(n,i)}async function Bv(t,{input_ids:e=null,attention_mask:r=null,pixel_values:n=null,position_ids:a=null,inputs_embeds:s=null,past_key_values:i=null,generation_config:o=null,logits_processor:u=null,...l}){if(!s){if(s=await t.encode_text({input_ids:e}),n&&e.dims[1]!==1){const h=await t.encode_image({pixel_values:n});({inputs_embeds:s,attention_mask:r}=t._merge_input_ids_with_image_features({image_features:h,inputs_embeds:s,input_ids:e,attention_mask:r}))}else if(i&&n&&e.dims[1]===1){const h=e.dims[1],m=Object.values(i)[0].dims.at(-2);r=Vt([vn([e.dims[0],m]),r.slice(null,[r.dims[1]-h,r.dims[1]])],1)}}return await Pi(t,{inputs_embeds:s,past_key_values:i,attention_mask:r,position_ids:a,generation_config:o,logits_processor:u},!0)}function Dv(t,e=null){const{input_ids:r,inputs_embeds:n,attention_mask:a}=t,[s,i]=a.dims,o=new BigInt64Array(a.data.length);for(let l=0;ls.dims[1])){if(ao==t.config.image_token_index)){const o=t.config.num_image_tokens;if(!o)throw new Error("`num_image_tokens` is missing in the model configuration.");const u=s.dims[1]-(a-o);r.input_ids=s.slice(null,[-u,null]),r.attention_mask=vn([1,a+u])}}}return r}function Km(t,e,r,n){const{...a}=r;return r.past_key_values&&(e=e.map(i=>[i.at(-1)])),a.decoder_input_ids=Gm(e),a}function Nv(t,...e){return t.config.is_encoder_decoder?Km(t,...e):qm(t,...e)}class J extends bt{constructor(r,n){super();N(this,"main_input_name","input_ids");N(this,"forward_params",["input_ids","attention_mask"]);this.config=r,this.sessions=n;const a=ha.get(this.constructor),s=Ri.get(a);switch(this.can_generate=!1,this._forward=null,this._prepare_inputs_for_generation=null,s){case $e.DecoderOnly:this.can_generate=!0,this._forward=Pi,this._prepare_inputs_for_generation=qm;break;case $e.Seq2Seq:case $e.Vision2Seq:case $e.Musicgen:this.can_generate=!0,this._forward=jm,this._prepare_inputs_for_generation=Km;break;case $e.EncoderDecoder:this._forward=jm;break;case $e.ImageTextToText:this.can_generate=!0,this._forward=Bv,this._prepare_inputs_for_generation=Nv;break;default:this._forward=En;break}this.can_generate&&this.forward_params.push("past_key_values"),this.custom_config=this.config["transformers.js_config"]??{}}async dispose(){var n;const r=[];for(const a of Object.values(this.sessions))(n=a==null?void 0:a.handler)!=null&&n.dispose&&r.push(a.handler.dispose());return await Promise.all(r)}static async from_pretrained(r,{progress_callback:n=null,config:a=null,cache_dir:s=null,local_files_only:i=!1,revision:o="main",model_file_name:u=null,subfolder:l="onnx",device:c=null,dtype:h=null,use_external_data_format:m=null,session_options:_={}}={}){let p={progress_callback:n,config:a,cache_dir:s,local_files_only:i,revision:o,model_file_name:u,subfolder:l,device:c,dtype:h,use_external_data_format:m,session_options:_};const y=ha.get(this),v=Ri.get(y);a=p.config=await Nm.from_pretrained(r,p);let S;if(v===$e.DecoderOnly)S=await Promise.all([en(r,{model:p.model_file_name??"model"},p),Ar(r,"generation_config.json",!1,p)]);else if(v===$e.Seq2Seq||v===$e.Vision2Seq)S=await Promise.all([en(r,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},p),Ar(r,"generation_config.json",!1,p)]);else if(v===$e.MaskGeneration)S=await Promise.all([en(r,{model:"vision_encoder",prompt_encoder_mask_decoder:"prompt_encoder_mask_decoder"},p)]);else if(v===$e.EncoderDecoder)S=await Promise.all([en(r,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},p)]);else if(v===$e.ImageTextToText){const x={embed_tokens:"embed_tokens",vision_encoder:"vision_encoder",decoder_model_merged:"decoder_model_merged"};a.is_encoder_decoder&&(x.model="encoder_model"),S=await Promise.all([en(r,x,p),Ar(r,"generation_config.json",!1,p)])}else v===$e.Musicgen?S=await Promise.all([en(r,{model:"text_encoder",decoder_model_merged:"decoder_model_merged",encodec_decode:"encodec_decode"},p),Ar(r,"generation_config.json",!1,p)]):(v!==$e.EncoderOnly&&console.warn(`Model type for '${y??(a==null?void 0:a.model_type)}' not found, assuming encoder-only architecture. Please report this at https://github.com/xenova/transformers.js/issues/new/choose.`),S=await Promise.all([en(r,{model:p.model_file_name??"model"},p)]));return new this(a,...S)}async _call(r){return await this.forward(r)}async forward(r){return await this._forward(this,r)}_get_logits_warper(r){const n=new Mi;return r.temperature!==null&&r.temperature!==1&&n.push(new kv(r.temperature)),r.top_k!==null&&r.top_k!==0&&n.push(new Cv(r.top_k)),r.top_p!==null&&r.top_p<1&&n.push(new Ev(r.top_p)),n}_get_logits_processor(r,n,a=null){const s=new Mi;if(r.repetition_penalty!==null&&r.repetition_penalty!==1&&s.push(new bv(r.repetition_penalty)),r.no_repeat_ngram_size!==null&&r.no_repeat_ngram_size>0&&s.push(new yv(r.no_repeat_ngram_size)),r.bad_words_ids!==null&&s.push(new xv(r.bad_words_ids,r.eos_token_id)),r.min_length!==null&&r.eos_token_id!==null&&r.min_length>0&&s.push(new vv(r.min_length,r.eos_token_id)),r.min_new_tokens!==null&&r.eos_token_id!==null&&r.min_new_tokens>0&&s.push(new $v(n,r.min_new_tokens,r.eos_token_id)),r.forced_bos_token_id!==null&&s.push(new gv(r.forced_bos_token_id)),r.forced_eos_token_id!==null&&s.push(new _v(r.max_length,r.forced_eos_token_id)),r.begin_suppress_tokens!==null){const i=n>1||r.forced_bos_token_id===null?n:n+1;s.push(new Lm(r.begin_suppress_tokens,i))}return r.guidance_scale!==null&&r.guidance_scale>1&&s.push(new Sv(r.guidance_scale)),a!==null&&s.extend(a),s}_prepare_generation_config(r,n,a=Um){const s={...this.config};for(const o of["decoder","generator","text_config"])o in s&&Object.assign(s,s[o]);const i=new a(s);return"generation_config"in this&&Object.assign(i,this.generation_config),r&&Object.assign(i,r),n&&Object.assign(i,gr(n,Object.getOwnPropertyNames(i))),i}_get_stopping_criteria(r,n=null){const a=new Go;return r.max_length!==null&&a.push(new Tv(r.max_length,this.config.max_position_embeddings??null)),r.eos_token_id!==null&&a.push(new Iv(r.eos_token_id)),n&&a.extend(n),a}_validate_model_class(){if(!this.can_generate){const r=[n_,a_,r_,t_],n=ha.get(this.constructor),a=new Set,s=this.config.model_type;for(const o of r){const u=o.get(s);u&&a.add(u[0])}let i=`The current model class (${n}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`;throw a.size>0&&(i+=` Please use the following class instead: ${[...a].join(", ")}`),Error(i)}}prepare_inputs_for_generation(...r){return this._prepare_inputs_for_generation(this,...r)}_update_model_kwargs_for_generation({generated_input_ids:r,outputs:n,model_inputs:a,is_encoder_decoder:s}){return a.past_key_values=this.getPastKeyValues(n,a.past_key_values),a.input_ids=new fe("int64",r.flat(),[r.length,1]),s||(a.attention_mask=Vt([a.attention_mask,vn([a.attention_mask.dims[0],1])],1)),a.position_ids=null,a}_prepare_model_inputs({inputs:r,bos_token_id:n,model_kwargs:a}){const s=gr(a,this.forward_params),i=this.main_input_name;if(i in s){if(r)throw new Error("`inputs`: {inputs}` were passed alongside {input_name} which is not allowed. Make sure to either pass {inputs} or {input_name}=...")}else s[i]=r;return{inputs_tensor:s[i],model_inputs:s,model_input_name:i}}async _prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:r,model_inputs:n,model_input_name:a,generation_config:s}){if(this.sessions.model.inputNames.includes("inputs_embeds")&&!n.inputs_embeds&&"_prepare_inputs_embeds"in this){const{input_ids:o,pixel_values:u,attention_mask:l,...c}=n,h=await this._prepare_inputs_embeds(n);n={...c,...gr(h,["inputs_embeds","attention_mask"])}}let{last_hidden_state:i}=await En(this,n);return s.guidance_scale!==null&&s.guidance_scale>1&&(i=Vt([i,ny(i,0)],0),"attention_mask"in n&&(n.attention_mask=Vt([n.attention_mask,sy(n.attention_mask)],0))),n.encoder_outputs=i,n}_prepare_decoder_input_ids_for_generation({batch_size:r,model_input_name:n,model_kwargs:a,decoder_start_token_id:s,bos_token_id:i,generation_config:o}){let{decoder_input_ids:u,...l}=a;if(u)Array.isArray(u[0])||(u=Array.from({length:r},()=>u));else if(s??(s=i),this.config.model_type==="musicgen")u=Array.from({length:r*this.config.decoder.num_codebooks},()=>[s]);else if(Array.isArray(s)){if(s.length!==r)throw new Error(`\`decoder_start_token_id\` expcted to have length ${r} but got ${s.length}`);u=s}else u=Array.from({length:r},()=>[s]);return u=Gm(u),a.decoder_attention_mask=ay(u),{input_ids:u,model_inputs:l}}async generate({inputs:r=null,generation_config:n=null,logits_processor:a=null,stopping_criteria:s=null,streamer:i=null,...o}){this._validate_model_class(),n=this._prepare_generation_config(n,o);let{inputs_tensor:u,model_inputs:l,model_input_name:c}=this._prepare_model_inputs({inputs:r,model_kwargs:o});const h=this.config.is_encoder_decoder;h&&("encoder_outputs"in l||(l=await this._prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:u,model_inputs:l,model_input_name:c,generation_config:n})));let m;h?{input_ids:m,model_inputs:l}=this._prepare_decoder_input_ids_for_generation({batch_size:l[c].dims.at(0),model_input_name:c,model_kwargs:l,decoder_start_token_id:n.decoder_start_token_id,bos_token_id:n.bos_token_id,generation_config:n}):m=l[c];let _=m.dims.at(-1);n.max_new_tokens!==null&&(n.max_length=_+n.max_new_tokens);const p=this._get_logits_processor(n,_,a),y=this._get_stopping_criteria(n,s),v=l[c].dims.at(0),S=zi.getSampler(n),x=new Array(v).fill(0),C=m.tolist();i&&i.put(C);let T=null,I={};for(;;){l=this.prepare_inputs_for_generation(C,l,n);const P=await this.forward(l);if(n.output_attentions&&n.return_dict_in_generate){const ne=this.getAttentions(P);for(const te in ne)te in I||(I[te]=[]),I[te].push(ne[te])}const G=P.logits.slice(null,-1,null),j=p(C,G),K=[];for(let ne=0;nene)){n.return_dict_in_generate&&(T=this.getPastKeyValues(P,l.past_key_values,!1));break}l=this._update_model_kwargs_for_generation({generated_input_ids:K,outputs:P,model_inputs:l,is_encoder_decoder:h})}i&&i.end();const R=new fe("int64",C.flat(),[C.length,C[0].length]);return n.return_dict_in_generate?{sequences:R,past_key_values:T,...I}:R}getPastKeyValues(r,n,a=!0){const s=Object.create(null);for(const i in r)if(i.startsWith("present")){const o=i.replace("present","past_key_values");if(n&&i.includes("encoder"))s[o]=n[o];else{if(a&&n){const u=n[o];u.location==="gpu-buffer"&&u.dispose()}s[o]=r[i]}}return s}getAttentions(r){const n={};for(const a of["cross_attentions","encoder_attentions","decoder_attentions"])for(const s in r)s.startsWith(a)&&(a in n||(n[a]=[]),n[a].push(r[s]));return n}addPastKeyValues(r,n){if(n)Object.assign(r,n);else{const a=this.custom_config.kv_cache_dtype??"float32",s=a==="float16"?new Uint16Array:[],i=Dm(this.config);for(const o in i)r[o]=new fe(a,s,i[o])}}async encode_image({pixel_values:r}){const n=(await Pr(this.sessions.vision_encoder,{pixel_values:r})).image_features;return this.config.num_image_tokens||(console.warn(`The number of image tokens was not set in the model configuration. Setting it to the number of features detected by the vision encoder (${n.dims[1]}).`),this.config.num_image_tokens=n.dims[1]),n}async encode_text({input_ids:r}){return(await Pr(this.sessions.embed_tokens,{input_ids:r})).inputs_embeds}}class Bt{}class fa extends J{}class Fv extends fa{}class Lv extends fa{async _call(e){return new _t(await super._call(e))}}class Uv extends fa{async _call(e){return new Me(await super._call(e))}}class Wv extends fa{async _call(e){return new gt(await super._call(e))}}class Vv extends fa{async _call(e){return new St(await super._call(e))}}class Gv extends J{}class Hv extends Gv{}class ma extends J{}class jv extends ma{}class qv extends ma{async _call(e){return new _t(await super._call(e))}}class Kv extends ma{async _call(e){return new Me(await super._call(e))}}class Yv extends ma{async _call(e){return new gt(await super._call(e))}}class Xv extends ma{async _call(e){return new St(await super._call(e))}}class ga extends J{}class Qv extends ga{}class Jv extends ga{async _call(e){return new _t(await super._call(e))}}class Zv extends ga{async _call(e){return new Me(await super._call(e))}}class e1 extends ga{async _call(e){return new gt(await super._call(e))}}class t1 extends ga{async _call(e){return new St(await super._call(e))}}class _a extends J{}class r1 extends _a{}class n1 extends _a{async _call(e){return new _t(await super._call(e))}}class a1 extends _a{async _call(e){return new Me(await super._call(e))}}class i1 extends _a{async _call(e){return new gt(await super._call(e))}}class s1 extends _a{async _call(e){return new St(await super._call(e))}}class wa extends J{}class o1 extends wa{}class u1 extends wa{async _call(e){return new _t(await super._call(e))}}class l1 extends wa{async _call(e){return new Me(await super._call(e))}}class d1 extends wa{async _call(e){return new gt(await super._call(e))}}class c1 extends wa{async _call(e){return new St(await super._call(e))}}class ya extends J{}class p1 extends ya{}class h1 extends ya{async _call(e){return new _t(await super._call(e))}}class f1 extends ya{async _call(e){return new Me(await super._call(e))}}class m1 extends ya{async _call(e){return new gt(await super._call(e))}}class g1 extends ya{async _call(e){return new St(await super._call(e))}}class ba extends J{}class _1 extends ba{}class w1 extends ba{async _call(e){return new _t(await super._call(e))}}class y1 extends ba{async _call(e){return new Me(await super._call(e))}}class b1 extends ba{async _call(e){return new gt(await super._call(e))}}class v1 extends ba{async _call(e){return new St(await super._call(e))}}class va extends J{}class $1 extends va{}class x1 extends va{async _call(e){return new Me(await super._call(e))}}class S1 extends va{async _call(e){return new gt(await super._call(e))}}class k1 extends va{async _call(e){return new St(await super._call(e))}}class E1 extends va{async _call(e){return new _t(await super._call(e))}}class Bi extends J{}class C1 extends Bi{}class T1 extends Bi{async _call(e){return new _t(await super._call(e))}}class I1 extends Bi{async _call(e){return new Me(await super._call(e))}}class A1 extends Bi{async _call(e){return new gt(await super._call(e))}}class Di extends J{}class M1 extends Di{}class O1 extends Di{async _call(e){return new _t(await super._call(e))}}class z1 extends Di{async _call(e){return new Me(await super._call(e))}}class R1 extends Di{async _call(e){return new St(await super._call(e))}}class $a extends J{}class P1 extends $a{}class B1 extends $a{async _call(e){return new _t(await super._call(e))}}class D1 extends $a{async _call(e){return new Me(await super._call(e))}}class N1 extends $a{async _call(e){return new gt(await super._call(e))}}class F1 extends $a{async _call(e){return new St(await super._call(e))}}class Ni extends J{}class L1 extends Ni{}class U1 extends Ni{async _call(e){return new _t(await super._call(e))}}class W1 extends Ni{async _call(e){return new Me(await super._call(e))}}class V1 extends Ni{async _call(e){return new St(await super._call(e))}}class Fi extends J{}class G1 extends Fi{}class H1 extends Fi{async _call(e){return new Me(await super._call(e))}}class j1 extends Fi{async _call(e){return new St(await super._call(e))}}class q1 extends Fi{async _call(e){return new _t(await super._call(e))}}class Ym extends J{constructor(r,n,a){super(r,n);N(this,"forward_params",["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"]);this.generation_config=a}}class K1 extends Ym{}class Y1 extends Ym{}class Xm extends J{constructor(e,r,n){super(e,r),this.generation_config=n}}class X1 extends Xm{}class Q1 extends Xm{}class Qm extends J{constructor(e,r,n){super(e,r),this.generation_config=n}}class J1 extends Qm{}class Z1 extends Qm{}class Ho extends J{constructor(e,r,n){super(e,r),this.generation_config=n}}class e2 extends Ho{}class t2 extends Ho{}class r2 extends Ho{async _call(e){return new Me(await super._call(e))}}class Li extends J{constructor(e,r,n){super(e,r),this.generation_config=n}}class n2 extends Li{}class a2 extends Li{}class i2 extends Li{async _call(e){return new Me(await super._call(e))}}class s2 extends Li{}class Jm extends J{constructor(e,r,n){super(e,r),this.generation_config=n}}class o2 extends Jm{}class u2 extends Jm{}class Zm extends J{constructor(e,r,n){super(e,r),this.generation_config=n}}class l2 extends Zm{}class d2 extends Zm{}class xa extends J{}class c2 extends xa{}class p2 extends xa{async _call(e){return new _t(await super._call(e))}}class h2 extends xa{async _call(e){return new Me(await super._call(e))}}class f2 extends xa{async _call(e){return new gt(await super._call(e))}}class m2 extends xa{async _call(e){return new St(await super._call(e))}}class Sa extends J{}class g2 extends Sa{}class _2 extends Sa{async _call(e){return new _t(await super._call(e))}}class w2 extends Sa{async _call(e){return new Me(await super._call(e))}}class y2 extends Sa{async _call(e){return new gt(await super._call(e))}}class b2 extends Sa{async _call(e){return new St(await super._call(e))}}class ka extends J{}class v2 extends ka{}class $2 extends ka{async _call(e){return new _t(await super._call(e))}}class x2 extends ka{async _call(e){return new Me(await super._call(e))}}class S2 extends ka{async _call(e){return new gt(await super._call(e))}}class k2 extends ka{async _call(e){return new St(await super._call(e))}}class eg extends J{}class E2 extends eg{}class C2 extends eg{}class tg extends J{constructor(r,n,a){super(r,n);N(this,"requires_attention_mask",!1);N(this,"main_input_name","input_features");N(this,"forward_params",["input_features","attention_mask","decoder_input_ids","decoder_attention_mask","past_key_values"]);this.generation_config=a}}class T2 extends tg{}class I2 extends tg{_prepare_generation_config(e,r){return super._prepare_generation_config(e,r,zv)}_retrieve_init_tokens(e){const r=[e.decoder_start_token_id];let n=e.language;const a=e.task;if(e.is_multilingual){n||(console.warn("No language specified - defaulting to English (en)."),n="en");const i=`<|${$m(n)}|>`;r.push(e.lang_to_id[i]),r.push(e.task_to_id[a??"transcribe"])}else if(n||a)throw new Error("Cannot specify `task` or `language` for an English-only model. If the model is intended to be multilingual, pass `is_multilingual=true` to generate, or update the generation config.");return!e.return_timestamps&&e.no_timestamps_token_id&&r.at(-1)!==e.no_timestamps_token_id?r.push(e.no_timestamps_token_id):e.return_timestamps&&r.at(-1)===e.no_timestamps_token_id&&(console.warn("<|notimestamps|> prompt token is removed from generation_config since `return_timestamps` is set to `true`."),r.pop()),r.filter(s=>s!=null)}async generate({inputs:e=null,generation_config:r=null,logits_processor:n=null,stopping_criteria:a=null,...s}){r=this._prepare_generation_config(r,s);const i=this._retrieve_init_tokens(r);if(r.return_timestamps&&(n??(n=new Mi),n.push(new wv(r,i))),r.begin_suppress_tokens&&(n??(n=new Mi),n.push(new Lm(r.begin_suppress_tokens,i.length))),r.return_token_timestamps){if(!r.alignment_heads)throw new Error("Model generation config has no `alignment_heads`, token-level timestamps not available. See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config.");r.task==="translate"&&console.warn("Token-level timestamps may not be reliable for task 'translate'."),r.output_attentions=!0,r.return_dict_in_generate=!0}const o=await super.generate({inputs:e,generation_config:r,logits_processor:n,decoder_input_ids:i,...s});return r.return_token_timestamps&&(o.token_timestamps=this._extract_token_timestamps(o,r.alignment_heads,r.num_frames)),o}_extract_token_timestamps(e,r,n=null,a=.02){if(!e.cross_attentions)throw new Error("Model outputs must contain cross attentions to extract timestamps. This is most likely because the model was not exported with `output_attentions=True`.");n==null&&console.warn("`num_frames` has not been set, meaning the entire audio will be analyzed. This may lead to inaccurate token-level timestamps for short audios (< 30 seconds).");let s=this.config.median_filter_width;s===void 0&&(console.warn("Model config has no `median_filter_width`, using default value of 7."),s=7);const i=e.cross_attentions,o=Array.from({length:this.config.decoder_layers},(y,v)=>Vt(i.map(S=>S[v]),2)),u=sa(r.map(([y,v])=>{if(y>=o.length)throw new Error(`Layer index ${y} is out of bounds for cross attentions (length ${o.length}).`);return n?o[y].slice(null,v,null,[0,n]):o[y].slice(null,v)})).transpose(1,0,2,3),[l,c]=ty(u,-2,0,!0),h=u.clone();for(let y=0;yS[P+1]-S[P]),T=lt([1],C).map(R=>!!R),I=[];for(let R=0;Rm.findIndex(_=>_==s)),u=o.every(m=>m===-1),l=o.every(m=>m!==-1);if(!u&&!l)throw new Error("Every input should contain either 0 or 1 image token.");if(u)return{inputs_embeds:e,attention_mask:a};const c=[],h=[];for(let m=0;ms*i,1);e.input_labels=new fe("int64",new BigInt64Array(a).fill(1n),n)}const r={image_embeddings:e.image_embeddings,image_positional_embeddings:e.image_positional_embeddings};return e.input_points&&(r.input_points=e.input_points),e.input_labels&&(r.input_labels=e.input_labels),e.input_boxes&&(r.input_boxes=e.input_boxes),await Pr(this.sessions.prompt_encoder_mask_decoder,r)}async _call(e){return new $x(await super._call(e))}}class $x extends Bt{constructor({iou_scores:e,pred_masks:r}){super(),this.iou_scores=e,this.pred_masks=r}}class Lg extends J{constructor(e,r,n){super(e,r),this.generation_config=n}}class xx extends Lg{}class Sx extends Lg{}class Ug extends J{constructor(e,r,n){super(e,r),this.generation_config=n}}class kx extends Ug{}class Ex extends Ug{}class tn extends J{}class Cx extends tn{}class Tx extends tn{async _call(e){return new Cn(await super._call(e))}}class Ix extends tn{async _call(e){return new Me(await super._call(e))}}class Ax extends tn{async _call(e){return new gt(await super._call(e))}}class Ko extends J{}class Mx extends Ko{}class Ox extends Ko{async _call(e){return new Cn(await super._call(e))}}class zx extends Ko{async _call(e){return new Me(await super._call(e))}}class Wi extends J{}class Rx extends Wi{}class Px extends Wi{async _call(e){return new Cn(await super._call(e))}}class Bx extends Wi{async _call(e){return new Me(await super._call(e))}}class Dx extends Wi{async _call(e){return new gt(await super._call(e))}}class Yo extends J{}class Nx extends Yo{}class Fx extends Yo{async _call(e){return new Cn(await super._call(e))}}class Lx extends Yo{async _call(e){return new Me(await super._call(e))}}class Ux extends tn{}class Wx extends tn{async _call(e){return new Cn(await super._call(e))}}class Vx extends tn{async _call(e){return new Me(await super._call(e))}}class Ea extends J{}class Gx extends Ea{}class Hx extends Ea{async _call(e){return new Cn(await super._call(e))}}class jx extends Ea{async _call(e){return new Me(await super._call(e))}}class qx extends Ea{async _call(e){return new YS(await super._call(e))}}class Kx extends Ea{async _call(e){return new gt(await super._call(e))}}class Wg extends J{constructor(e,r,n){super(e,r),this.generation_config=n}}class Yx extends Wg{}class Xx extends Wg{async generate_speech(e,r,{threshold:n=.5,minlenratio:a=0,maxlenratio:s=20,vocoder:i=null}={}){const o={input_ids:e},{encoder_outputs:u,encoder_attention_mask:l}=await En(this,o),c=u.dims[1]/this.config.reduction_factor,h=Math.floor(c*s),m=Math.floor(c*a),_=this.config.num_mel_bins;let p=[],y=null,v=null,S=0;for(;;){++S;const T=Hm(!!v);let I;v?I=v.output_sequence_out:I=new fe("float32",new Float32Array(_),[1,1,_]);let R={use_cache_branch:T,output_sequence:I,encoder_attention_mask:l,speaker_embeddings:r,encoder_hidden_states:u};this.addPastKeyValues(R,y),v=await Pr(this.sessions.decoder_model_merged,R),y=this.getPastKeyValues(v,y);const{prob:P,spectrum:G}=v;if(p.push(G),S>=m&&(Array.from(P.data).filter(j=>j>=n).length>0||S>=h))break}const x=Vt(p),{waveform:C}=await Pr(i.sessions.model,{spectrogram:x});return{spectrogram:x,waveform:C}}}class Qx extends J{constructor(){super(...arguments);N(this,"main_input_name","spectrogram")}}class Jx extends J{constructor(e,r,n){super(e,r),this.generation_config=n}}class Zx extends Jx{}class Vg extends J{constructor(e,r,n){super(e,r),this.generation_config=n}}class eS extends Vg{}class tS extends Vg{}class Gg extends J{constructor(e,r,n){super(e,r),this.generation_config=n}}class rS extends Gg{}class nS extends Gg{}class Hg extends J{constructor(e,r,n){super(e,r),this.generation_config=n}}class aS extends Hg{}class iS extends Hg{}class Xo extends J{}class sS extends Xo{}class oS extends Xo{static async from_pretrained(e,r={}){return r.model_file_name??(r.model_file_name="text_model"),super.from_pretrained(e,r)}}class uS extends Xo{static async from_pretrained(e,r={}){return r.model_file_name??(r.model_file_name="audio_model"),super.from_pretrained(e,r)}}class lS extends J{}class jg extends lS{async _call(e){return new QS(await super._call(e))}}class qg extends J{}class dS extends qg{}class cS extends qg{}class Kg extends J{constructor(e,r,n){super(e,r),this.generation_config=n}}class pS extends Kg{}class hS extends Kg{}class Yg extends J{}class fS extends Yg{}class mS extends Yg{async _call(e){return new Me(await super._call(e))}}class Xg extends J{constructor(r,n,a){super(r,n);N(this,"forward_params",["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"]);this.generation_config=a}_apply_and_filter_by_delay_pattern_mask(r){const[n,a]=r.dims,s=this.config.decoder.num_codebooks,i=a-s;let o=0;for(let c=0;c0&&_<=i&&(r.data[o++]=r.data[c])}const u=Math.floor(n/s),l=o/(u*s);return new fe(r.type,r.data.slice(0,o),[u,s,l])}prepare_inputs_for_generation(r,n,a){let s=structuredClone(r);for(let o=0;o=u&&(s[o][u]=BigInt(this.config.decoder.pad_token_id));return a.guidance_scale!==null&&a.guidance_scale>1&&(s=s.concat(s)),super.prepare_inputs_for_generation(s,n,a)}async generate(r){const n=await super.generate(r),a=this._apply_and_filter_by_delay_pattern_mask(n).unsqueeze_(0),{audio_values:s}=await Pr(this.sessions.encodec_decode,{audio_codes:a});return s}}class Qg extends J{}class gS extends Qg{}class _S extends Qg{async _call(e){return new Me(await super._call(e))}}class Jg extends J{}class wS extends Jg{}class yS extends Jg{async _call(e){return new Me(await super._call(e))}}class Zg extends J{}class bS extends Zg{}class vS extends Zg{async _call(e){return new Me(await super._call(e))}}class e_ extends J{}class $S extends e_{}class xS extends e_{async _call(e){return new Me(await super._call(e))}}class Qo{static async from_pretrained(e,{progress_callback:r=null,config:n=null,cache_dir:a=null,local_files_only:s=!1,revision:i="main",model_file_name:o=null,subfolder:u="onnx",device:l=null,dtype:c=null,use_external_data_format:h=null,session_options:m={}}={}){let _={progress_callback:r,config:n,cache_dir:a,local_files_only:s,revision:i,model_file_name:o,subfolder:u,device:l,dtype:c,use_external_data_format:h,session_options:m};if(_.config=await Nm.from_pretrained(e,_),!this.MODEL_CLASS_MAPPINGS)throw new Error("`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: "+this.name);for(let p of this.MODEL_CLASS_MAPPINGS){const y=p.get(_.config.model_type);if(y)return await y[1].from_pretrained(e,_)}if(this.BASE_IF_FAIL)return console.warn(`Unknown model class "${_.config.model_type}", attempting to construct from base class.`),await J.from_pretrained(e,_);throw Error(`Unsupported model type: ${_.config.model_type}`)}}N(Qo,"MODEL_CLASS_MAPPINGS",null),N(Qo,"BASE_IF_FAIL",!1);const SS=new Map([["bert",["BertModel",Fv]],["nomic_bert",["NomicBertModel",Hv]],["roformer",["RoFormerModel",jv]],["electra",["ElectraModel",r1]],["esm",["EsmModel",C1]],["convbert",["ConvBertModel",Qv]],["camembert",["CamembertModel",o1]],["deberta",["DebertaModel",p1]],["deberta-v2",["DebertaV2Model",_1]],["mpnet",["MPNetModel",P1]],["albert",["AlbertModel",G1]],["distilbert",["DistilBertModel",$1]],["roberta",["RobertaModel",c2]],["xlm",["XLMModel",g2]],["xlm-roberta",["XLMRobertaModel",v2]],["clap",["ClapModel",sS]],["clip",["CLIPModel",P2]],["clipseg",["CLIPSegModel",V2]],["chinese_clip",["ChineseCLIPModel",W2]],["siglip",["SiglipModel",N2]],["mobilebert",["MobileBertModel",M1]],["squeezebert",["SqueezeBertModel",L1]],["wav2vec2",["Wav2Vec2Model",Cx]],["wav2vec2-bert",["Wav2Vec2BertModel",Nx]],["unispeech",["UniSpeechModel",Mx]],["unispeech-sat",["UniSpeechSatModel",Rx]],["hubert",["HubertModel",Ux]],["wavlm",["WavLMModel",Gx]],["audio-spectrogram-transformer",["ASTModel",E2]],["vits",["VitsModel",jg]],["detr",["DetrModel",F$]],["rt_detr",["RTDetrModel",V$]],["table-transformer",["TableTransformerModel",j$]],["vit",["ViTModel",x$]],["fastvit",["FastViTModel",k$]],["mobilevit",["MobileViTModel",I$]],["mobilevitv2",["MobileViTV2Model",M$]],["owlvit",["OwlViTModel",z$]],["owlv2",["Owlv2Model",P$]],["beit",["BeitModel",D$]],["deit",["DeiTModel",Y$]],["convnext",["ConvNextModel",cx]],["convnextv2",["ConvNextV2Model",hx]],["dinov2",["Dinov2Model",mx]],["resnet",["ResNetModel",Q$]],["swin",["SwinModel",Z$]],["swin2sr",["Swin2SRModel",tx]],["donut-swin",["DonutSwinModel",dx]],["yolos",["YolosModel",_x]],["dpt",["DPTModel",nx]],["glpn",["GLPNModel",ox]],["hifigan",["SpeechT5HifiGan",Qx]],["efficientnet",["EfficientNetModel",fS]],["mobilenet_v1",["MobileNetV1Model",gS]],["mobilenet_v2",["MobileNetV2Model",wS]],["mobilenet_v3",["MobileNetV3Model",bS]],["mobilenet_v4",["MobileNetV4Model",$S]]]),kS=new Map([["t5",["T5Model",K1]],["longt5",["LongT5Model",X1]],["mt5",["MT5Model",J1]],["bart",["BartModel",e2]],["mbart",["MBartModel",n2]],["marian",["MarianModel",xx]],["whisper",["WhisperModel",T2]],["m2m_100",["M2M100Model",kx]],["blenderbot",["BlenderbotModel",o2]],["blenderbot-small",["BlenderbotSmallModel",l2]]]),ES=new Map([["bloom",["BloomModel",_$]],["gpt2",["GPT2Model",H2]],["gptj",["GPTJModel",Q2]],["gpt_bigcode",["GPTBigCodeModel",Z2]],["gpt_neo",["GPTNeoModel",q2]],["gpt_neox",["GPTNeoXModel",Y2]],["codegen",["CodeGenModel",t$]],["llama",["LlamaModel",n$]],["cohere",["CohereModel",i$]],["gemma",["GemmaModel",o$]],["openelm",["OpenELMModel",l$]],["qwen2",["Qwen2Model",c$]],["phi",["PhiModel",h$]],["phi3",["Phi3Model",m$]],["mpt",["MptModel",y$]],["opt",["OPTModel",v$]],["mistral",["MistralModel",eS]],["starcoder2",["Starcoder2Model",rS]],["falcon",["FalconModel",aS]],["stablelm",["StableLmModel",pS]]]),t_=new Map([["speecht5",["SpeechT5ForSpeechToText",Yx]],["whisper",["WhisperForConditionalGeneration",I2]]]),CS=new Map([["speecht5",["SpeechT5ForTextToSpeech",Xx]]]),TS=new Map([["vits",["VitsModel",jg]],["musicgen",["MusicgenForConditionalGeneration",Xg]]]),IS=new Map([["bert",["BertForSequenceClassification",Uv]],["roformer",["RoFormerForSequenceClassification",Kv]],["electra",["ElectraForSequenceClassification",a1]],["esm",["EsmForSequenceClassification",I1]],["convbert",["ConvBertForSequenceClassification",Zv]],["camembert",["CamembertForSequenceClassification",l1]],["deberta",["DebertaForSequenceClassification",f1]],["deberta-v2",["DebertaV2ForSequenceClassification",y1]],["mpnet",["MPNetForSequenceClassification",D1]],["albert",["AlbertForSequenceClassification",H1]],["distilbert",["DistilBertForSequenceClassification",x1]],["roberta",["RobertaForSequenceClassification",h2]],["xlm",["XLMForSequenceClassification",w2]],["xlm-roberta",["XLMRobertaForSequenceClassification",x2]],["bart",["BartForSequenceClassification",r2]],["mbart",["MBartForSequenceClassification",i2]],["mobilebert",["MobileBertForSequenceClassification",z1]],["squeezebert",["SqueezeBertForSequenceClassification",W1]]]),AS=new Map([["bert",["BertForTokenClassification",Wv]],["roformer",["RoFormerForTokenClassification",Yv]],["electra",["ElectraForTokenClassification",i1]],["esm",["EsmForTokenClassification",A1]],["convbert",["ConvBertForTokenClassification",e1]],["camembert",["CamembertForTokenClassification",d1]],["deberta",["DebertaForTokenClassification",m1]],["deberta-v2",["DebertaV2ForTokenClassification",b1]],["mpnet",["MPNetForTokenClassification",N1]],["distilbert",["DistilBertForTokenClassification",S1]],["roberta",["RobertaForTokenClassification",f2]],["xlm",["XLMForTokenClassification",y2]],["xlm-roberta",["XLMRobertaForTokenClassification",S2]]]),r_=new Map([["t5",["T5ForConditionalGeneration",Y1]],["longt5",["LongT5ForConditionalGeneration",Q1]],["mt5",["MT5ForConditionalGeneration",Z1]],["bart",["BartForConditionalGeneration",t2]],["mbart",["MBartForConditionalGeneration",a2]],["marian",["MarianMTModel",Sx]],["m2m_100",["M2M100ForConditionalGeneration",Ex]],["blenderbot",["BlenderbotForConditionalGeneration",u2]],["blenderbot-small",["BlenderbotSmallForConditionalGeneration",d2]]]),n_=new Map([["bloom",["BloomForCausalLM",w$]],["gpt2",["GPT2LMHeadModel",j2]],["gptj",["GPTJForCausalLM",J2]],["gpt_bigcode",["GPTBigCodeForCausalLM",e$]],["gpt_neo",["GPTNeoForCausalLM",K2]],["gpt_neox",["GPTNeoXForCausalLM",X2]],["codegen",["CodeGenForCausalLM",r$]],["llama",["LlamaForCausalLM",a$]],["cohere",["CohereForCausalLM",s$]],["gemma",["GemmaForCausalLM",u$]],["openelm",["OpenELMForCausalLM",d$]],["qwen2",["Qwen2ForCausalLM",p$]],["phi",["PhiForCausalLM",f$]],["phi3",["Phi3ForCausalLM",g$]],["mpt",["MptForCausalLM",b$]],["opt",["OPTForCausalLM",$$]],["mbart",["MBartForCausalLM",s2]],["mistral",["MistralForCausalLM",tS]],["starcoder2",["Starcoder2ForCausalLM",nS]],["falcon",["FalconForCausalLM",iS]],["trocr",["TrOCRForCausalLM",Zx]],["stablelm",["StableLmForCausalLM",hS]]]),MS=new Map([["bert",["BertForMaskedLM",Lv]],["roformer",["RoFormerForMaskedLM",qv]],["electra",["ElectraForMaskedLM",n1]],["esm",["EsmForMaskedLM",T1]],["convbert",["ConvBertForMaskedLM",Jv]],["camembert",["CamembertForMaskedLM",u1]],["deberta",["DebertaForMaskedLM",h1]],["deberta-v2",["DebertaV2ForMaskedLM",w1]],["mpnet",["MPNetForMaskedLM",B1]],["albert",["AlbertForMaskedLM",q1]],["distilbert",["DistilBertForMaskedLM",E1]],["roberta",["RobertaForMaskedLM",p2]],["xlm",["XLMWithLMHeadModel",_2]],["xlm-roberta",["XLMRobertaForMaskedLM",$2]],["mobilebert",["MobileBertForMaskedLM",O1]],["squeezebert",["SqueezeBertForMaskedLM",U1]]]),OS=new Map([["bert",["BertForQuestionAnswering",Vv]],["roformer",["RoFormerForQuestionAnswering",Xv]],["electra",["ElectraForQuestionAnswering",s1]],["convbert",["ConvBertForQuestionAnswering",t1]],["camembert",["CamembertForQuestionAnswering",c1]],["deberta",["DebertaForQuestionAnswering",g1]],["deberta-v2",["DebertaV2ForQuestionAnswering",v1]],["mpnet",["MPNetForQuestionAnswering",F1]],["albert",["AlbertForQuestionAnswering",j1]],["distilbert",["DistilBertForQuestionAnswering",k1]],["roberta",["RobertaForQuestionAnswering",m2]],["xlm",["XLMForQuestionAnswering",b2]],["xlm-roberta",["XLMRobertaForQuestionAnswering",k2]],["mobilebert",["MobileBertForQuestionAnswering",R1]],["squeezebert",["SqueezeBertForQuestionAnswering",V1]]]),a_=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",A2]]]),zS=new Map([["llava",["LlavaForConditionalGeneration",jo]],["moondream1",["Moondream1ForConditionalGeneration",O2]],["florence2",["Florence2ForConditionalGeneration",R2]]]),RS=new Map([["vit",["ViTForImageClassification",S$]],["fastvit",["FastViTForImageClassification",E$]],["mobilevit",["MobileViTForImageClassification",A$]],["mobilevitv2",["MobileViTV2ForImageClassification",O$]],["beit",["BeitForImageClassification",N$]],["deit",["DeiTForImageClassification",X$]],["convnext",["ConvNextForImageClassification",px]],["convnextv2",["ConvNextV2ForImageClassification",fx]],["dinov2",["Dinov2ForImageClassification",gx]],["resnet",["ResNetForImageClassification",J$]],["swin",["SwinForImageClassification",ex]],["segformer",["SegformerForImageClassification",dS]],["efficientnet",["EfficientNetForImageClassification",mS]],["mobilenet_v1",["MobileNetV1ForImageClassification",_S]],["mobilenet_v2",["MobileNetV2ForImageClassification",yS]],["mobilenet_v3",["MobileNetV3ForImageClassification",vS]],["mobilenet_v4",["MobileNetV4ForImageClassification",xS]]]),PS=new Map([["detr",["DetrForObjectDetection",L$]],["rt_detr",["RTDetrForObjectDetection",G$]],["table-transformer",["TableTransformerForObjectDetection",q$]],["yolos",["YolosForObjectDetection",wx]]]),BS=new Map([["owlvit",["OwlViTForObjectDetection",R$]],["owlv2",["Owlv2ForObjectDetection",B$]]]),DS=new Map([["detr",["DetrForSegmentation",U$]],["clipseg",["CLIPSegForImageSegmentation",G2]]]),NS=new Map([["segformer",["SegformerForSemanticSegmentation",cS]]]),FS=new Map([["sam",["SamModel",vx]]]),LS=new Map([["wav2vec2",["Wav2Vec2ForCTC",Tx]],["wav2vec2-bert",["Wav2Vec2BertForCTC",Fx]],["unispeech",["UniSpeechForCTC",Ox]],["unispeech-sat",["UniSpeechSatForCTC",Px]],["wavlm",["WavLMForCTC",Hx]],["hubert",["HubertForCTC",Wx]]]),US=new Map([["wav2vec2",["Wav2Vec2ForSequenceClassification",Ix]],["wav2vec2-bert",["Wav2Vec2BertForSequenceClassification",Lx]],["unispeech",["UniSpeechForSequenceClassification",zx]],["unispeech-sat",["UniSpeechSatForSequenceClassification",Bx]],["wavlm",["WavLMForSequenceClassification",jx]],["hubert",["HubertForSequenceClassification",Vx]],["audio-spectrogram-transformer",["ASTForAudioClassification",C2]]]),WS=new Map([["wavlm",["WavLMForXVector",qx]]]),VS=new Map([["unispeech-sat",["UniSpeechSatForAudioFrameClassification",Dx]],["wavlm",["WavLMForAudioFrameClassification",Kx]],["wav2vec2",["Wav2Vec2ForAudioFrameClassification",Ax]]]),GS=new Map([["vitmatte",["VitMatteForImageMatting",T$]]]),HS=new Map([["swin2sr",["Swin2SRForImageSuperResolution",rx]]]),jS=new Map([["dpt",["DPTForDepthEstimation",ax]],["depth_anything",["DepthAnythingForDepthEstimation",sx]],["glpn",["GLPNForDepthEstimation",ux]]]),qS=new Map([["clip",["CLIPVisionModelWithProjection",D2]],["siglip",["SiglipVisionModel",L2]]]),i_=[[SS,$e.EncoderOnly],[kS,$e.EncoderDecoder],[ES,$e.DecoderOnly],[IS,$e.EncoderOnly],[AS,$e.EncoderOnly],[r_,$e.Seq2Seq],[t_,$e.Seq2Seq],[n_,$e.DecoderOnly],[MS,$e.EncoderOnly],[OS,$e.EncoderOnly],[a_,$e.Vision2Seq],[zS,$e.ImageTextToText],[RS,$e.EncoderOnly],[DS,$e.EncoderOnly],[NS,$e.EncoderOnly],[GS,$e.EncoderOnly],[HS,$e.EncoderOnly],[jS,$e.EncoderOnly],[PS,$e.EncoderOnly],[BS,$e.EncoderOnly],[FS,$e.MaskGeneration],[LS,$e.EncoderOnly],[US,$e.EncoderOnly],[CS,$e.Seq2Seq],[TS,$e.EncoderOnly],[WS,$e.EncoderOnly],[VS,$e.EncoderOnly],[qS,$e.EncoderOnly]];for(const[t,e]of i_)for(const[r,n]of t.values())Ri.set(r,e),ha.set(n,r),Wm.set(r,n);const KS=[["MusicgenForConditionalGeneration",Xg,$e.Musicgen],["CLIPTextModelWithProjection",B2,$e.EncoderOnly],["SiglipTextModel",F2,$e.EncoderOnly],["ClapTextModelWithProjection",oS,$e.EncoderOnly],["ClapAudioModelWithProjection",uS,$e.EncoderOnly]];for(const[t,e,r]of KS)Ri.set(t,r),ha.set(e,t),Wm.set(t,e);class s_ extends Qo{}N(s_,"MODEL_CLASS_MAPPINGS",i_.map(e=>e[0])),N(s_,"BASE_IF_FAIL",!0);class Me extends Bt{constructor({logits:e}){super(),this.logits=e}}class YS extends Bt{constructor({logits:e,embeddings:r}){super(),this.logits=e,this.embeddings=r}}class gt extends Bt{constructor({logits:e}){super(),this.logits=e}}class _t extends Bt{constructor({logits:e}){super(),this.logits=e}}class St extends Bt{constructor({start_logits:e,end_logits:r}){super(),this.start_logits=e,this.end_logits=r}}class Cn extends Bt{constructor({logits:e}){super(),this.logits=e}}class XS extends Bt{constructor({alphas:e}){super(),this.alphas=e}}class QS extends Bt{constructor({waveform:e,spectrogram:r}){super(),this.waveform=e,this.spectrogram=r}}const Ht=typeof self<"u",JS=Ht&&self.constructor.name==="DedicatedWorkerGlobalScope";let rn,o_,Br;if(Ht)rn=(t,e)=>{if(!self.OffscreenCanvas)throw new Error("OffscreenCanvas not supported by this browser.");return new self.OffscreenCanvas(t,e)},Br=self.createImageBitmap,o_=self.ImageData;else if(Ve)Br=async t=>{const r=(await t.metadata()).channels,{data:n,info:a}=await t.rotate().raw().toBuffer({resolveWithObject:!0}),s=new ar(new Uint8ClampedArray(n),a.width,a.height,a.channels);return r!==void 0&&r!==a.channels&&s.convert(r),s};else throw new Error("Unable to load image processing library.");const ZS={0:"nearest",1:"lanczos",2:"bilinear",3:"bicubic",4:"box",5:"hamming"},e3=new Map([["png","image/png"],["jpg","image/jpeg"],["jpeg","image/jpeg"],["gif","image/gif"]]);class ar{constructor(e,r,n,a){this.data=e,this.width=r,this.height=n,this.channels=a}get size(){return[this.width,this.height]}static async read(e){if(e instanceof ar)return e;if(typeof e=="string"||e instanceof URL)return await this.fromURL(e);throw new Error(`Unsupported input type: ${typeof e}`)}static fromCanvas(e){if(!Ht)throw new Error("fromCanvas() is only supported in browser environments.");const n=e.getContext("2d").getImageData(0,0,e.width,e.height).data;return new ar(n,e.width,e.height,4)}static async fromURL(e){const r=await ws(e);if(r.status!==200)throw new Error(`Unable to read image from "${e}" (${r.status} ${r.statusText})`);const n=await r.blob();return this.fromBlob(n)}static async fromBlob(e){if(Ht){const r=await Br(e),n=rn(r.width,r.height).getContext("2d");return n.drawImage(r,0,0),new this(n.getImageData(0,0,r.width,r.height).data,r.width,r.height,4)}else{const r=Ve(await e.arrayBuffer());return await Br(r)}}static fromTensor(e,r="CHW"){if(e.dims.length!==3)throw new Error(`Tensor should have 3 dimensions, but has ${e.dims.length} dimensions.`);if(r==="CHW")e=e.transpose(1,2,0);else if(r!=="HWC")throw new Error(`Unsupported channel format: ${r}`);if(!(e.data instanceof Uint8ClampedArray||e.data instanceof Uint8Array))throw new Error(`Unsupported tensor type: ${e.type}`);switch(e.dims[2]){case 1:case 2:case 3:case 4:return new ar(e.data,e.dims[1],e.dims[0],e.dims[2]);default:throw new Error(`Unsupported number of channels: ${e.dims[2]}`)}}grayscale(){if(this.channels===1)return this;const e=new Uint8ClampedArray(this.width*this.height*1);switch(this.channels){case 3:case 4:for(let r=0,n=0;r=0?u=n:c=-n,a>=0?l=a:h=-a,o.drawImage(i,u,l,e,r,c,h,e,r),new ar(o.getImageData(0,0,e,r).data,e,r,4).convert(s)}else{let s=this.toSharp();if(n>=0&&a>=0)s=s.extract({left:Math.floor(n),top:Math.floor(a),width:e,height:r});else if(n<=0&&a<=0){const i=Math.floor(-a),o=Math.floor(-n);s=s.extend({top:i,left:o,right:e-this.width-o,bottom:r-this.height-i})}else{let i=[0,0],o=0;a<0?(i[0]=Math.floor(-a),i[1]=r-this.height-i[0]):o=Math.floor(a);let u=[0,0],l=0;n<0?(u[0]=Math.floor(-n),u[1]=e-this.width-u[0]):l=Math.floor(n),s=s.extend({top:i[0],bottom:i[1],left:u[0],right:u[1]}).extract({left:l,top:o,width:e,height:r})}return await Br(s)}}async toBlob(e="image/png",r=1){if(!Ht)throw new Error("toBlob() is only supported in browser environments.");return await this.toCanvas().convertToBlob({type:e,quality:r})}toTensor(e="CHW"){let r=new fe("uint8",new Uint8Array(this.data),[this.height,this.width,this.channels]);if(e!=="HWC")if(e==="CHW")r=r.permute(2,0,1);else throw new Error(`Unsupported channel format: ${e}`);return r}toCanvas(){if(!Ht)throw new Error("toCanvas() is only supported in browser environments.");const e=this.clone().rgba(),r=rn(e.width,e.height),n=new o_(e.data,e.width,e.height);return r.getContext("2d").putImageData(n,0,0),r}_update(e,r,n,a=null){return this.data=e,this.width=r,this.height=n,a!==null&&(this.channels=a),this}clone(){return new ar(this.data.slice(),this.width,this.height,this.channels)}convert(e){if(this.channels===e)return this;switch(e){case 1:this.grayscale();break;case 3:this.rgb();break;case 4:this.rgba();break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this}async save(e){if(Ht){if(JS)throw new Error("Unable to save an image from a Web Worker.");const r=e.split(".").pop().toLowerCase(),n=e3.get(r)??"image/png",a=await this.toBlob(n),s=URL.createObjectURL(a),i=document.createElement("a");i.href=s,i.download=e,i.click(),i.remove()}else{if(yt.useFS)return await this.toSharp().toFile(e);throw new Error("Unable to save the image because filesystem is disabled in this environment.")}}toSharp(){if(Ht)throw new Error("toSharp() is only supported in server-side environments.");return Ve(this.data,{raw:{width:this.width,height:this.height,channels:this.channels}})}}function u_(t){if(t<1)return new Float64Array;if(t===1)return new Float64Array([1]);const e=t-1,r=Math.PI/e,n=new Float64Array(t);for(let a=0;a2595*Math.log10(1+t/700),kaldi:t=>1127*Math.log(1+t/700),slaney:(t,e=1e3,r=15,n=27/Math.log(6.4))=>t>=e?r+Math.log(t/e)*n:3*t/200};function Jo(t,e="htk"){const r=t3[e];if(!r)throw new Error('mel_scale should be one of "htk", "slaney" or "kaldi".');return typeof t=="number"?r(t):t.map(n=>r(n))}const r3={htk:t=>700*(10**(t/2595)-1),kaldi:t=>700*(Math.exp(t/1127)-1),slaney:(t,e=1e3,r=15,n=Math.log(6.4)/27)=>t>=r?e*Math.exp(n*(t-r)):200*t/3};function n3(t,e="htk"){const r=r3[e];if(!r)throw new Error('mel_scale should be one of "htk", "slaney" or "kaldi".');return typeof t=="number"?r(t):t.map(n=>r(n))}function a3(t,e){const r=Float64Array.from({length:e.length-1},(i,o)=>e[o+1]-e[o]),n=Array.from({length:t.length},()=>new Array(e.length));for(let i=0;inew Array(t.length));for(let i=0;it+n*s)}function Ca(t,e,r,n,a,s=null,i="htk",o=!1){if(s!==null&&s!=="slaney")throw new Error('norm must be one of null or "slaney"');const u=Jo(r,i),l=Jo(n,i),c=l_(u,l,e+2);let h=n3(c,i),m;if(o){const p=a/(t*2);m=Jo(Float64Array.from({length:t},(y,v)=>v*p),i),h=c}else m=l_(0,Math.floor(a/2),t);const _=a3(m,h);if(s!==null&&s==="slaney")for(let p=0;pa)throw Error(`frame_length (${r}) may not be larger than fft_length (${a})`);if(T!==r)throw new Error(`Length of the window (${T}) must equal frame_length (${r})`);if(n<=0)throw new Error("hop_length must be greater than zero");if(s===null&&c!==null)throw new Error("You have provided `mel_filters` but `power` is `None`. Mel spectrogram computation is not yet supported for complex-valued spectrogram. Specify `power` to fix this issue.");if(i){if(o!=="reflect")throw new Error(`pad_mode="${o}" not implemented yet.`);const M=Math.floor((a-1)/2)+1;t=i3(t,M,M)}const I=Math.floor(1+Math.floor((t.length-r)/n)),R=u?Math.floor(a/2)+1:a;let P=I,G=I;S!==null&&(S>I?x&&(G=S):G=P=S);const j=new f0(a),K=new Float64Array(a),he=new Float64Array(j.outputBufferSize),ne=new Float32Array(R*G);for(let M=0;M=1;--q)K[q]-=l*K[q-1];K[0]*=1-l}for(let q=0;qMath.pow(o,.85));break;default:throw new Error(`Unknown window type ${e}.`)}if(r&&(i=i.subarray(0,t)),n===null)return i;if(t>n)throw new Error(`Length of the window (${t}) may not be larger than frame_length (${n})`);return i}function u3([t,e,r,n]){return[t-r/2,e-n/2,t+r/2,e+n/2]}function Hi(t,e=.5,r=null,n=!1){const a=t.logits,s=t.pred_boxes,[i,o,u]=a.dims;if(r!==null&&r.length!==i)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");let l=[];for(let c=0;ce&&S.push(C)}else{let C=wr(v.data)[1];if(C===u-1||(x=Vn(v.data),x[C]I*h[(R+1)%2])),m.boxes.push(T),m.classes.push(C),m.scores.push(x[C])}}l.push(m)}return l}function Ta(t,e){var r;if(!(t instanceof Float32Array||t instanceof Float64Array))throw new Error(`${e} expects input to be a Float32Array or a Float64Array, but got ${((r=t==null?void 0:t.constructor)==null?void 0:r.name)??typeof t} instead. If using the feature extractor directly, remember to use \`read_audio(url, sampling_rate)\` to obtain the raw audio data of the file/url.`)}function c_(t,e,r=0,n=null){const a=t/e;let s=g0(a)*e;return n!==null&&s>n&&(s=Math.floor(a)*e),ss?l=Math.floor(s*u/a):s>a&&(u=Math.floor(a*l/s)),await e.resize(l,u,{resample:n}))}async crop_margin(e,r=200){const n=e.clone().grayscale(),a=Eu(n.data)[0],i=wr(n.data)[0]-a;if(i===0)return e;const o=r/255;let u=n.width,l=n.height,c=0,h=0;const m=n.data;for(let _=0;_this.preprocess(s)));return{pixel_values:sa(n.map(s=>s.pixel_values),0),original_sizes:n.map(s=>s.original_size),reshaped_input_sizes:n.map(s=>s.reshaped_input_size)}}}class l3 extends Ge{post_process_semantic_segmentation(e,r=null){const n=e.logits,a=n.dims[0];if(r!==null&&r.length!==a)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");const s=[];for(let i=0;im[C]&&(m[C]=x[C],_[C]=S)}const p=new Array(u.dims[0]),y=h.data;for(let S=0;SS!==void 0);s.push({segmentation:h,labels:v})}return s}}class p_ extends Ge{}class d3 extends p_{}class c3 extends Ge{}class p3 extends Ge{}class h_ extends Ge{}class h3 extends h_{}class f3 extends Ge{}class m3 extends Ge{}class f_ extends Ge{constructor(e){super(e),this.crop_pct=this.config.crop_pct??224/256}async resize(e){var n;const r=(n=this.size)==null?void 0:n.shortest_edge;if(r===void 0)throw new Error("Size dictionary must contain 'shortest_edge' key.");if(r<384){const a=Math.floor(r/this.crop_pct),[s,i]=this.get_resize_output_image_size(e,{shortest_edge:a});e=await e.resize(s,i,{resample:this.resample}),e=await e.center_crop(r,r)}else e=await e.resize(r,r,{resample:this.resample});return e}}class g3 extends f_{}class _3 extends Ge{}class w3 extends Ge{}class y3 extends Ge{constructor(e){super(e),this.include_top=this.config.include_top??!0,this.include_top&&(this.image_std=this.image_std.map(r=>r*r))}}class b3 extends Ge{}class v3 extends Ge{}class $3 extends Ge{}class x3 extends Ge{}class m_ extends Ge{}class S3 extends m_{}class g_ extends Ge{post_process_object_detection(...e){return Hi(...e)}}class k3 extends g_{}class E3 extends Ge{post_process_object_detection(...e){return Hi(...e)}}class C3 extends Ge{}class T3 extends Ge{}class __ extends Ge{pad_image(e,r,n,a={}){const[s,i,o]=r;let u=this.image_mean;Array.isArray(this.image_mean)||(u=new Array(o).fill(u));let l=this.image_std;Array.isArray(l)||(l=new Array(o).fill(u));const c=u.map((h,m)=>-h/l[m]);return super.pad_image(e,r,n,{center:!0,constant_values:c,...a})}}class I3 extends __{}class A3 extends Ge{async _call(e){const r=await super._call(e),n=[r.pixel_values.dims[0],64,64],a=new fe("int64",new BigInt64Array(n.reduce((s,i)=>s*i)).fill(1n),n);return{...r,pixel_mask:a}}post_process_object_detection(...e){return Hi(...e)}remove_low_and_no_objects(e,r,n,a){let s=[],i=[],o=[];for(let u=0;un&&(s.push(c),i.push(_),o.push(h))}return[s,i,o]}check_segment_validity(e,r,n,a=.5,s=.8){let i=[],o=0,u=0;const l=r[n].data;for(let h=0;h=a&&++u;let c=o>0&&u>0;return c&&(c=o/u>s),[c,i]}compute_segments(e,r,n,a,s,i=null,o=null){let[u,l]=o??e[0].dims,c=new fe("int32",new Int32Array(u*l),[u,l]),h=[];if(o!==null)for(let v=0;v_[C]&&(m[C]=v,_[C]=x[C])}let p=0;const y=c.data;for(let v=0;va!==r.dims[s]))throw Error(`The first ${n.length} dimensions of 'input_points' and 'input_labels' must be the same.`);return new fe("int64",e.flat(1/0).map(BigInt),n)}async _call(e,{input_points:r=null,input_labels:n=null,input_boxes:a=null}={}){const s=await super._call(e);if(r&&(s.input_points=this.reshape_input_points(r,s.original_sizes,s.reshaped_input_sizes)),n){if(!s.input_points)throw Error("`input_points` must be provided if `input_labels` are provided.");s.input_labels=this.add_input_labels(n,s.input_points)}return a&&(s.input_boxes=this.reshape_input_points(a,s.original_sizes,s.reshaped_input_sizes,!0)),s}async post_process_masks(e,r,n,{mask_threshold:a=0,binarize:s=!0,pad_size:i=null}={}){const o=[];i=i??this.pad_size;const u=[i.height,i.width];for(let l=0;la&&(p[y]=1);m=new fe("bool",p,m.dims)}o.push(m)}return o}generate_crop_boxes(e,r,{crop_n_layers:n=0,overlap_ratio:a=512/1500,points_per_crop:s=32,crop_n_points_downscale_factor:i=1}={}){}}class z3 extends Ge{pad_image(e,r,n,a={}){const[s,i,o]=r;return super.pad_image(e,r,{width:i+(n-i%n)%n,height:s+(n-s%n)%n},{mode:"symmetric",center:!1,constant_values:-1,...a})}}class R3 extends Ge{async _call(e,r){Array.isArray(e)||(e=[e]),Array.isArray(r)||(r=[r]);const n=await Promise.all(e.map(i=>this.preprocess(i))),a=await Promise.all(r.map(i=>this.preprocess(i,{do_normalize:!1,do_convert_rgb:!1,do_convert_grayscale:!0})));return{pixel_values:sa(n.map((i,o)=>Vt([i.pixel_values,a[o].pixel_values],0)),0),original_sizes:n.map(i=>i.original_size),reshaped_input_sizes:n.map(i=>i.reshaped_input_size)}}}class P3 extends nn{constructor(e){var r;super(e),(r=this.config).mel_filters??(r.mel_filters=Ca(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,8e3,this.config.sampling_rate,"slaney","slaney")),this.window=Gi(this.config.n_fft,"hann")}async _extract_fbank_features(e){const r=await Vi(e,this.window,this.config.n_fft,this.config.hop_length,{power:2,mel_filters:this.config.mel_filters,log_mel:"log10",max_num_frames:this.config.nb_max_frames}),n=r.data,a=wr(n)[0];for(let s=0;sthis.config.n_samples?(console.warn("Attempting to extract features for audio longer than 30 seconds. If using a pipeline to extract transcript from a long audio clip, remember to specify `chunk_length_s` and/or `stride_length_s`."),r=e.slice(0,this.config.n_samples)):(r=new Float32Array(this.config.n_samples),r.set(e)),{input_features:(await this._extract_fbank_features(r)).unsqueeze_(0)}}}class B3 extends nn{_zero_mean_unit_var_norm(e){const n=e.reduce((s,i)=>s+i,0)/e.length,a=e.reduce((s,i)=>s+(i-n)**2,0)/e.length;return e.map(s=>(s-n)/Math.sqrt(a+1e-7))}async _call(e){Ta(e,"Wav2Vec2FeatureExtractor"),e instanceof Float64Array&&(e=new Float32Array(e));let r=e;this.config.do_normalize&&(r=this._zero_mean_unit_var_norm(r));const n=[1,r.length];return{input_values:new fe("float32",r,n),attention_mask:new fe("int64",new BigInt64Array(r.length).fill(1n),n)}}}class D3 extends nn{constructor(e){super(e);const r=this.config.sampling_rate,n=Ca(256,this.config.num_mel_bins,20,Math.floor(r/2),r,null,"kaldi",!0);for(let a=0;an*32768),Vi(e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:"log",mel_floor:1192092955078125e-22,remove_dc_offset:!0,max_num_frames:r,transpose:!0})}async _call(e,{padding:r=!0,pad_to_multiple_of:n=2,do_normalize_per_mel_bins:a=!0,return_attention_mask:s=!0}={}){Ta(e,"SeamlessM4TFeatureExtractor");let i=await this._extract_fbank_features(e,this.config.max_length);if(a){const[p,y]=i.dims,v=i.data;for(let S=0;S0){const x=new Float32Array(y*(p+S));x.set(v),x.fill(this.config.padding_value,v.length);const C=p+S;i=new fe(i.type,x,[C,y]),s&&(o=new fe("int64",new BigInt64Array(C),[1,C]),o.data.fill(1n,0,p))}}const[u,l]=i.dims,c=this.config.stride;if(u%c!==0)throw new Error(`The number of frames (${u}) must be a multiple of the stride (${c}).`);const m=i.view(1,Math.floor(u/c),l*c),_={input_features:m};if(s){const p=m.dims[1],y=new BigInt64Array(p);if(o){const v=o.data;for(let S=1,x=0;S0)if(n==="rand_trunc"){const o=Math.floor(Math.random()*(i+1));e=e.subarray(o,o+r),s=await this._extract_fbank_features(e,this.mel_filters_slaney,this.config.nb_max_samples)}else throw new Error(`Truncation strategy "${n}" not implemented`);else{if(i<0){let o=new Float64Array(r);if(o.set(e),a==="repeat")for(let u=e.length;u/gm,bboxes:/([^<]+)?/gm},this.size_per_bin=1e3}construct_prompts(e){typeof e=="string"&&(e=[e]);const r=[];for(const n of e)if(this.task_prompts_without_inputs.has(n))r.push(this.task_prompts_without_inputs.get(n));else{for(const[a,s]of this.task_prompts_with_input)if(n.includes(a)){r.push(s.replaceAll("{input}",n).replaceAll(a,""));break}r.length!==e.length&&r.push(n)}return r}post_process_generation(e,r,n){const a=this.tasks_answer_post_processing_type.get(r)??"pure_text";e=e.replaceAll("","").replaceAll("","");let s;switch(a){case"pure_text":s=e;break;case"description_with_bboxes":case"bboxes":case"phrase_grounding":case"ocr":const i=a==="ocr"?"quad_boxes":"bboxes",o=e.matchAll(this.regexes[i]),u=[],l=[];for(const[c,h,...m]of o)u.push(h?h.trim():u.at(-1)??""),l.push(m.map((_,p)=>(Number(_)+.5)/this.size_per_bin*n[p%2]));s={labels:u,[i]:l};break;default:throw new Error(`Task "${r}" (of type "${a}") not yet implemented.`)}return{[r]:s}}}class eu{static async from_pretrained(e,{progress_callback:r=null,config:n=null,cache_dir:a=null,local_files_only:s=!1,revision:i="main"}={}){let o=n??await Ar(e,"preprocessor_config.json",!0,{progress_callback:r,config:n,cache_dir:a,local_files_only:s,revision:i}),u=o.feature_extractor_type??o.image_processor_type,l=this.FEATURE_EXTRACTOR_CLASS_MAPPING[u];if(!l)if(o.size!==void 0)console.warn(`Feature extractor type "${u}" not found, assuming ImageFeatureExtractor due to size parameter in config.`),l=Ge;else throw new Error(`Unknown Feature Extractor type: ${u}`);let c=this.PROCESSOR_CLASS_MAPPING[o.processor_class]??an,h=new l(o);return new c(h)}}N(eu,"FEATURE_EXTRACTOR_CLASS_MAPPING",{ImageFeatureExtractor:Ge,WhisperFeatureExtractor:P3,ViTFeatureExtractor:_3,MobileViTFeatureExtractor:m_,MobileViTImageProcessor:S3,MobileNetV1FeatureExtractor:b3,MobileNetV2FeatureExtractor:v3,MobileNetV3FeatureExtractor:$3,MobileNetV4FeatureExtractor:x3,OwlViTFeatureExtractor:g_,Owlv2ImageProcessor:k3,CLIPFeatureExtractor:h_,CLIPImageProcessor:h3,Florence2Processor:w_,ChineseCLIPFeatureExtractor:f3,SiglipImageProcessor:m3,ConvNextFeatureExtractor:f_,ConvNextImageProcessor:g3,SegformerFeatureExtractor:l3,BitImageProcessor:c3,DPTImageProcessor:d3,DPTFeatureExtractor:p_,GLPNFeatureExtractor:p3,BeitFeatureExtractor:T3,DeiTFeatureExtractor:C3,DetrFeatureExtractor:A3,RTDetrImageProcessor:E3,YolosFeatureExtractor:M3,DonutFeatureExtractor:__,NougatImageProcessor:I3,EfficientNetImageProcessor:y3,ViTImageProcessor:w3,VitMatteImageProcessor:R3,SamImageProcessor:O3,Swin2SRImageProcessor:z3,Wav2Vec2FeatureExtractor:B3,SeamlessM4TFeatureExtractor:D3,SpeechT5FeatureExtractor:L3,ASTFeatureExtractor:N3,ClapFeatureExtractor:F3}),N(eu,"PROCESSOR_CLASS_MAPPING",{WhisperProcessor:W3,Wav2Vec2ProcessorWithLM:V3,SamProcessor:U3,SpeechT5Processor:G3,OwlViTProcessor:H3,Florence2Processor:w_});class j3{put(e){throw Error("Not implemented")}end(){throw Error("Not implemented")}}const y_=Ir.IS_PROCESS_AVAILABLE?t=>process.stdout.write(t):t=>console.log(t);class q3 extends j3{constructor(e,{skip_prompt:r=!1,callback_function:n=null,token_callback_function:a=null,decode_kwargs:s={},...i}={}){super(),this.tokenizer=e,this.skip_prompt=r,this.callback_function=n??y_,this.token_callback_function=a,this.decode_kwargs={...s,...i},this.token_cache=[],this.print_len=0,this.next_tokens_are_prompt=!0}put(e){var s;if(e.length>1)throw Error("TextStreamer only supports batch size of 1");const r=e[0];if((s=this.token_callback_function)==null||s.call(this,r),this.skip_prompt&&this.next_tokens_are_prompt){this.next_tokens_are_prompt=!1;return}this.token_cache=lt(this.token_cache,r);const n=this.tokenizer.decode(this.token_cache,this.decode_kwargs);let a;n.endsWith(` +`)?(a=n.slice(this.print_len),this.token_cache=[],this.print_len=0):n.length>0&&Em(n.charCodeAt(n.length-1))?(a=n.slice(this.print_len),this.print_len+=a.length):(a=n.slice(this.print_len,n.lastIndexOf(" ")+1),this.print_len+=a.length),this.on_finalized_text(a,!1)}end(){let e;this.token_cache.length>0?(e=this.tokenizer.decode(this.token_cache,this.decode_kwargs).slice(this.print_len),this.token_cache=[],this.print_len=0):e="",this.next_tokens_are_prompt=!0,this.on_finalized_text(e,!0)}on_finalized_text(e,r){var n,a;e.length>0&&((n=this.callback_function)==null||n.call(this,e)),r&&this.callback_function===y_&&Ir.IS_PROCESS_AVAILABLE&&((a=this.callback_function)==null||a.call(this,` +`))}}const b_="webgpu",K3=256;yt.backends.onnx.wasm.proxy=b_!=="webgpu";async function Y3(){try{return(await navigator.gpu.requestAdapter()).features.has("shader-f16")}catch{return!1}}class Tn{static async getInstance(e=null){const r=await Y3()?"fp16":"fp32";return this.tokenizer??(this.tokenizer=Bm.from_pretrained(this.model_id,{progress_callback:e})),this.processor=eu.from_pretrained(this.model_id),this.model??(this.model=jo.from_pretrained(this.model_id,{dtype:{embed_tokens:r?"fp16":"fp32",vision_encoder:r?"fp16":"fp32",decoder_model_merged:"q4"},device:b_,progress_callback:e})),Promise.all([this.tokenizer,this.processor,this.model])}}N(Tn,"model_id","onnx-community/nanoLLaVA-1.5"),N(Tn,"tokenizer",null),N(Tn,"processor",null),N(Tn,"model",null);class X3 extends q3{constructor(e,r){super(e,{skip_prompt:!0,skip_special_tokens:!0}),this.cb=r}on_finalized_text(e){this.cb(e)}}class Q3 extends Oi{constructor(){super(),this.interrupted=!1}interrupt(){this.interrupted=!0}reset(){this.interrupted=!1}_call(e,r){return new Array(e.length).fill(this.interrupted)}}const ji=new Q3;let tu=null,ru=!1;async function J3(t){const e=t.filter(p=>p.image).map(p=>p.image);if(e.length>1){self.postMessage({status:"error",error:"Currently, at most one image is supported."});return}t=t.map(({role:p,content:y,image:v})=>({role:p,content:`${v?` +`:""}${y}`}));const[r,n,a]=await Tn.getInstance(),s=r.apply_chat_template(t,{tokenize:!1,add_generation_prompt:!0});let i=r(s);if(!ru&&e.length>0){const p=await ar.fromURL(e[0]),y=await n(p);i={...i,...y},ru=!0}let o,u=0;const l=p=>{o??(o=performance.now());let y;u++>0&&(y=u/(performance.now()-o)*1e3),self.postMessage({status:"update",output:p,tps:y,numTokens:u})},c=new X3(r,l);self.postMessage({status:"start"});const{past_key_values:h,sequences:m}=await a.generate({...i,past_key_values:tu,do_sample:!1,max_new_tokens:K3,streamer:c,stopping_criteria:ji,return_dict_in_generate:!0});tu=h;const _=r.batch_decode(m,{skip_special_tokens:!1});self.postMessage({status:"complete",output:_})}async function Z3(){self.postMessage({status:"loading",data:"Loading model..."});const[t,e,r]=await Tn.getInstance(s=>{self.postMessage(s)});self.postMessage({status:"loading",data:"Compiling shaders and warming up model..."});const n=t("a"),a={pixel_values:pm([1,3,378,378],0)};await r.generate({...n,...a,max_new_tokens:1}),self.postMessage({status:"ready"})}self.addEventListener("message",async t=>{const{type:e,data:r}=t.data;switch(e){case"load":Z3();break;case"generate":ji.reset(),J3(r);break;case"interrupt":ji.interrupt();break;case"reset":tu=null,ru=!1,ji.reset();break}})})();