2020-11-20 14:53:40 +01:00
/ *
Human library
homepage : < https : //github.com/vladmandic/human>
author : < https : //github.com/vladmandic>'
* /
2021-04-28 14:58:21 +02:00
var cG = Object . create , Xh = Object . defineProperty , pG = Object . getPrototypeOf , mG = Object . prototype . hasOwnProperty , fG = Object . getOwnPropertyNames , dG = Object . getOwnPropertyDescriptor ; var hG = r => Xh ( r , "__esModule" , { value : ! 0 } ) ; var Ht = ( r , e ) => ( ) => ( e || r ( ( e = { exports : { } } ) . exports , e ) , e . exports ) , We = ( r , e ) => { for ( var t in e ) Xh ( r , t , { get : e [ t ] , enumerable : ! 0 } ) } , gG = ( r , e , t ) => { if ( e && typeof e == "object" || typeof e == "function" ) for ( let n of fG ( e ) ) ! mG . call ( r , n ) && n !== "default" && Xh ( r , n , { get : ( ) => e [ n ] , enumerable : ! ( t = dG ( e , n ) ) || t . enumerable } ) ; return r } , pc = r => gG ( hG ( Xh ( r != null ? cG ( pG ( r ) ) : { } , "default" , r && r . _ _esModule && "default" in r ? { get : ( ) => r . default , enumerable : ! 0 } : { value : r , enumerable : ! 0 } ) ) , r ) ; var oT = Ht ( ( ) => { } ) ; var zT = Ht ( ( LT , c _ ) => { ( function ( r , e , t ) { function n ( i ) { var l = this , u = a ( ) ; l . next = function ( ) { var c = 2091639 * l . s0 + l . c * 23283064365386963e-26 ; return l . s0 = l . s1 , l . s1 = l . s2 , l . s2 = c - ( l . c = c | 0 ) } , l . c = 1 , l . s0 = u ( " " ) , l . s1 = u ( " " ) , l . s2 = u ( " " ) , l . s0 -= u ( i ) , l . s0 < 0 && ( l . s0 += 1 ) , l . s1 -= u ( i ) , l . s1 < 0 && ( l . s1 += 1 ) , l . s2 -= u ( i ) , l . s2 < 0 && ( l . s2 += 1 ) , u = null } function o ( i , l ) { return l . c = i . c , l . s0 = i . s0 , l . s1 = i . s1 , l . s2 = i . s2 , l } function s ( i , l ) { var u = new n ( i ) , c = l && l . state , p = u . next ; return p . int32 = function ( ) { return u . next ( ) * 4294967296 | 0 } , p . double = function ( ) { return p ( ) + ( p ( ) * 2097152 | 0 ) * 11102230246251565e-32 } , p . quick = p , c && ( typeof c == "object" && o ( c , u ) , p . state = function ( ) { return o ( u , { } ) } ) , p } function a ( ) { var i = 4022871197 , l = function ( u ) { u = u . toString ( ) ; for ( var c = 0 ; c < u . length ; c ++ ) { i += u . charCodeAt ( c ) ; var p = . 02519603282416938 * i ; i = p >>> 0 , p -= i , p *= i , i = p >>> 0 , p -= i , i += p * 4294967296 } return ( i >>> 0 ) * 23283064365386963e-26 } ; return l } e && e . exports ? e . exports = s : t && t . amd ? t ( function ( ) { return s } ) : this . alea = s } ) ( LT , typeof c _ == "object" && c _ , typeof define == "function" && define ) } ) ; var VT = Ht ( ( BT , p _ ) => { ( function ( r , e , t ) { function n ( a ) { var i = this , l = "" ; i . x = 0 , i . y = 0 , i . z = 0 , i . w = 0 , i . next = function ( ) { var c = i . x ^ i . x << 11 ; return i . x = i . y , i . y = i . z , i . z = i . w , i . w ^= i . w >>> 19 ^ c ^ c >>> 8 } , a === ( a | 0 ) ? i . x = a : l += a ; for ( var u = 0 ; u < l . length + 64 ; u ++ ) i . x ^= l . charCodeAt ( u ) | 0 , i . next ( ) } function o ( a , i ) { return i . x = a . x , i . y = a . y , i . z = a . z , i . w = a . w , i } function s ( a , i ) { var l = new n ( a ) , u = i && i . state , c = function ( ) { return ( l . next ( ) >>> 0 ) / 4294967296 } ; return c . double = function ( ) { do var p = l . next ( ) >>> 11 , m = ( l . next ( ) >>> 0 ) / 4294967296 , f = ( p + m ) / ( 1 << 21 ) ; while ( f === 0 ) ; return f } , c . int32 = l . next , c . quick = c , u && ( typeof u == "object" && o ( u , l ) , c . state = function ( ) { return o ( l , { } ) } ) , c } e && e . exports ? e . exports = s : t && t . amd ? t ( function ( ) { return s } ) : this . xor128 = s } ) ( BT , typeof p _ == "object" && p _ , typeof define == "function" && define ) } ) ; var WT = Ht ( ( GT , m _ ) => { ( function ( r , e , t ) { function n ( a ) { var i = this , l = "" ; i . next = function ( ) { var c = i . x ^ i . x >>> 2 ; return i . x = i . y , i . y = i . z , i . z = i . w , i . w = i . v , ( i . d = i . d + 362437 | 0 ) + ( i . v = i . v ^ i . v << 4 ^ ( c ^ c << 1 ) ) | 0 } , i . x = 0 , i . y = 0 , i . z = 0 , i . w = 0 , i . v = 0 , a === ( a | 0 ) ? i . x = a : l += a ; for ( var u = 0 ; u < l . length + 64 ; u ++ ) i . x ^= l . charCodeAt ( u ) | 0 , u == l . length && ( i . d = i . x << 10 ^ i . x >>> 4 ) , i . next ( ) } function o ( a , i ) { return i . x = a . x , i . y = a . y , i . z = a . z , i . w = a . w , i . v = a . v , i . d = a . d , i } function s ( a , i ) { var l = new n ( a ) , u = i && i . state , c = function ( ) { return ( l . next ( ) >>> 0 ) / 4294967296 } ; return c . double = function ( ) { do var p = l . next ( ) >>> 11 , m = ( l . next ( ) >>> 0 ) / 4294967296 , f = ( p + m ) / ( 1 << 21 ) ; while ( f === 0 ) ; return f } , c . int32 = l . next , c . quick = c , u && ( typeof u == "object" && o ( u , l ) , c . state = function ( ) { return o ( l , { } ) } ) , c } e && e . exports ? e . exports = s : t && t . amd ? t ( function ( ) { return s } ) : this . xorwow = s } ) ( GT , typeof m _ == "object" && m _ , typeof define == "function" && define ) } ) ; var UT = Ht ( ( jT , f _ ) => { ( function ( r , e , t ) { function n ( a ) { var i = this ; i . next = function ( ) { var u = i . x , c = i . i , p , m , f ; return p = u [ c ] , p ^= p >>> 7 , m = p ^ p << 24 , p = u [ c + 1 & 7 ] , m ^= p ^ p >>> 10 , p = u [ c + 3 & 7 ] , m ^= p ^ p >>> 3 , p = u [ c + 4 & 7 ] , m ^= p ^ p << 7 , p = u [ c + 7 & 7 ] , p = p ^ p << 13 , m ^= p ^ p << 9 , u [ c ] = m , i . i = c + 1 & 7 , m } ; function l ( u , c ) { var p , m , f = [ ] ; if ( c === ( c | 0 ) ) m = f [ 0 ] = c ; else for ( c = "" + c , p = 0 ; p < c . length ; ++ p ) f [ p & 7 ] = f [ p & 7 ] << 15 ^ c . charCodeAt ( p ) + f [ p + 1 & 7 ] << 13 ; for ( ; f . length < 8 ; ) f . push ( 0 ) ; for ( p = 0 ; p < 8 && f [ p ] === 0 ; ++ p ) ; for ( p == 8 ? m = f [ 7 ] = - 1 : m = f [ p ] , u . x = f , u . i = 0 , p = 256 ; p > 0 ; -- p ) u . next ( ) } l ( i , a ) } function o ( a , i ) { return i . x = a . x . slice ( ) , i . i = a . i , i } function s ( a , i ) { a == null && ( a = + new Date ) ; var l = new n ( a ) , u = i && i . state , c = function ( ) { return ( l . next ( ) >>> 0 ) / 4294967296 } ; return c . double = function ( ) { do var p = l . next ( ) >>> 11 , m = ( l . next ( ) >>> 0 ) / 4294967296 , f = ( p + m ) / ( 1 << 21 ) ; while ( f === 0 ) ; return f } , c . int32 = l . next , c . quick = c , u && ( u . x
` )),l.join( `
` )}function qG(r,e,t,n){let o=nt(e),s=n[n.length-1],a=new Array(s).fill(0),i=e.length,l=t==="complex64"?Om(r):r;if(i>1)for(let u=0;u<o/s;u++){let c=u*s;for(let p=0;p<s;p++)a[p]=Math.max(a[p],Fm(l[c+p],0,t).length)}return a}function Fm(r,e,t){let n;return Array.isArray(r)?n= ` $ { parseFloat ( r [ 0 ] . toFixed ( aw ) ) } + $ { parseFloat ( r [ 1 ] . toFixed ( aw ) ) } j ` :wo(r)?n= ` '${r}' ` :t==="bool"?n=DS(r):n=parseFloat(r.toFixed(aw)).toString(),Gl(n,e)}function DS(r){return r===0?"false":"true"}function Qh(r,e,t,n,o,s=!0){let a=t==="complex64"?2:1,i=e[0],l=e.length;if(l===0){if(t==="complex64"){let h=Om(r);return[Fm(h[0],0,t)]}return t==="bool"?[DS(r[0])]:[r[0].toString()]}if(l===1){if(i>AS){let g=Rm*a,x=Array.from(r.slice(0,g)),b=Array.from(r.slice((i-Rm)*a,i*a));return t==="complex64"&&(x=Om(x),b=Om(b)),["["+x.map((w,_)=>Fm(w,o[_],t)).join(", ")+", ..., "+b.map((w,_)=>Fm(w,o[i-Rm+_],t)).join(", ")+"]"]}let h=t==="complex64"?Om(r):Array.from(r);return["["+h.map((g,x)=>Fm(g,o[x],t)).join(", ")+"]"]}let u=e.slice(1),c=n.slice(1),p=n[0]*a,m=[];if(i>AS){for(let h=0;h<Rm;h++){let g=h*p,x=g+p;m.push(...Qh(r.slice(g,x),u,t,c,o,!1))}m.push("...");for(let h=i-Rm;h<i;h++){let g=h*p,x=g+p;m.push(...Qh(r.slice(g,x),u,t,c,o,h===i-1))}}else for(let h=0;h<i;h++){let g=h*p,x=g+p;m.push(...Qh(r.slice(g,x),u,t,c,o,h===i-1))}let f=l===2?",":"";m[0]="["+m[0]+f;for(let h=1;h<m.length-1;h++)m[h]=" "+m[h]+f;let d= ` ,
` ;for(let h=2;h<l;h++)d+= `
` ;return m[m.length-1]=" "+m[m.length-1]+"]"+(s?"":d),m}function Om(r){let e=[];for(let t=0;t<r.length;t+=2)e.push([r[t],r[t+1]]);return e}var ut=class{constructor(e,t,n){if(this.dtype=t,this.shape=e.slice(),this.size=nt(e),n!=null){let o=n.length;T(o===this.size,()=> ` Length of values '${o}' does not match the size inferred by the shape '${this.size}' . ` )}if(t==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||Zb(t,this.size),this.strides=Ls(e)}set(e,...t){t.length===0&&(t=[0]),T(t.length===this.rank,()=> ` The number of provided coordinates ( $ { t . length } ) must match the rank ( $ { this . rank } ) ` );let n=this.locToIndex(t);this.values[n]=e}get(...e){e.length===0&&(e=[0]);let t=0;for(let o of e){if(o<0||o>=this.shape[t]){let s= ` Requested out of range element at $ { e } . Buffer shape = $ { this . shape } ` ;throw new Error(s)}t++}let n=e[e.length-1];for(let o=0;o<e.length-1;++o)n+=this.strides[o]*e[o];return this.values[n]}locToIndex(e){if(this.rank===0)return 0;if(this.rank===1)return e[0];let t=e[e.length-1];for(let n=0;n<e.length-1;++n)t+=this.strides[n]*e[n];return t}indexToLoc(e){if(this.rank===0)return[];if(this.rank===1)return[e];let t=new Array(this.shape.length);for(let n=0;n<t.length-1;++n)t[n]=Math.floor(e/this.strides[n]),e-=t[n]*this.strides[n];return t[t.length-1]=e,t}get rank(){return this.shape.length}toTensor(){return ti().makeTensor(this.values,this.shape,this.dtype)}},ti=null,Kc=null,KG=null;function $ S(r){ti=r}function RS(r){Kc=r}function FS(r){KG=r}var Pe=class{constructor(e,t,n,o){this.kept=!1,this.isDisposedInternal=!1,this.shape=e.slice(),this.dtype=t||"float32",this.size=nt(e),this.strides=Ls(e),this.dataId=n,this.id=o,this.rankType=this.rank<5?this.rank.toString():"higher"}get rank(){return this.shape.length}async buffer(){let e=await this.data();return Kc.buffer(this.shape,this.dtype,e)}bufferSync(){return Kc.buffer(this.shape,this.dtype,this.dataSync())}async array(){let e=await this.data();return Wl(this.shape,e,this.dtype==="complex64")}arraySync(){return Wl(this.shape,this.dataSync(),this.dtype==="complex64")}async data(){this.throwIfDisposed();let e=ti().read(this.dataId);if(this.dtype==="string"){let t=await e;try{return t.map(n=>qc(n))}catch(n){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return e}dataSync(){this.throwIfDisposed();let e=ti().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>qc(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();let e=await ti().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(ti().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return Kc.print(this,e)}clone(){return this.throwIfDisposed(),Kc.clone(this)}toString(e=!1){let t=this.dataSync();return ES(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),Kc.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),ti().makeVariable(this,e,t,n)}};Object.defineProperty(Pe,Symbol.hasInstance,{value:r=>!!r&&r.data!=null&&r.dataSync!=null&&r.throwIfDisposed!=null});function F(){return Sm("Tensor",()=>Pe)}F();var ul=class extends Pe{constructor(e,t,n,o){super(e.shape,e.dtype,e.dataId,o);this.trainable=t,this.name=n}assign(e){if(e.dtype!==this.dtype)throw new Error( ` dtype of the new value ( $ { e . dtype } ) and previous value ( $ { this . dtype } ) must match ` );if(!Xr(e.shape,this.shape))throw new Error( ` shape of the new value ( $ { e . shape } ) and previous value ( $ { this . shape } ) must match ` );ti().disposeTensor(this),this.dataId=e.dataId,ti().incRef(this,null)}dispose(){ti().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(ul,Symbol.hasInstance,{value:r=>r instanceof Pe&&r.assi
Manifest JSON has weights with names : $ { i . join ( ", " ) } . ` )}let l=o.reduce((f,d,h)=>(d&&f.push(h),f),[]),u=[];l.forEach(f=>{e[f].paths.forEach(d=>{let h=t+(t.endsWith("/")?"":"/")+d;u.push(h)})});let c=await r(u),p={},m=0;return l.forEach(f=>{let d=e[f].paths.length,h=0;for(let _=0;_<d;_++)h+=c[m+_].byteLength;let g=new ArrayBuffer(h),x=new Uint8Array(g),b=0;for(let _=0;_<d;_++){let I=new Uint8Array(c[m+_]);x.set(I,b),b+=I.byteLength}s[f].forEach(_=>{let I=g.slice(_.groupOffset,_.groupOffset+_.sizeBytes),E=tg(I,[_.manifestEntry]);for(let $ in E)p[ $ ]=E[ $ ]}),m+=d}),p}}var NW="application/octet-stream",SW="application/json",ng=class{constructor(e,t){if(this.DEFAULT_METHOD="POST",t==null&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,this.weightUrlConverter=t.weightUrlConverter,t.fetchFunc!=null?(T(typeof t.fetchFunc=="function",()=>"Must pass a function that matches the signature of ` fetch ` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=t.fetchFunc):this.fetch=W().platform.fetch,T(e!=null&&e.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(e)&&T(e.length===2,()=> ` URL paths for http must have a length of 2 , ( actual length is $ { e . length } ) . ` ),this.path=e,t.requestInit!=null&&t.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");let t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData;let n=[{paths:["./model.weights.bin"],weights:e.weightSpecs}],o={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,weightsManifest:n};e.signature!=null&&(o.signature=e.signature),e.userDefinedMetadata!=null&&(o.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(o.modelInitializer=e.modelInitializer),t.body.append("model.json",new Blob([JSON.stringify(o)],{type:SW}),"model.json"),e.weightData!=null&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:NW}),"model.weights.bin");let s=await this.fetch(this.path,t);if(s.ok)return{modelArtifactsInfo:ri(e),responses:[s]};throw new Error( ` BrowserHTTPRequest . save ( ) failed due to HTTP response status $ { s . status } . ` )}async load(){let e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error( ` Request to $ { this . path } failed with status code $ { e . status } . Please verify this URL points to the model JSON of the model to load . ` );let t;try{t=await e.json()}catch(d){let h= ` Failed to parse model JSON of response from $ { this . path } . ` ;throw this.path.endsWith(".pb")?h+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":h+=" Please make sure the server is serving valid JSON for this request.",new Error(h)}let n=t.modelTopology,o=t.weightsManifest,s=t.generatedBy,a=t.convertedBy,i=t.format,l=t.signature,u=t.userDefinedMetadata;if(n==null&&o==null)throw new Error( ` The JSON from HTTP path $ { this . path } contains neither model topology or manifest for weights . ` );let c,p;o!=null&&([c,p]=await this.loadWeights(o));let m={modelTopology:n,weightSpecs:c,weightData:p,generatedBy:s,convertedBy:a,format:i};l!=null&&(m.signature=l),u!=null&&(m.userDefinedMetadata=u);let f=t.modelInitializer;return f&&(m.modelInitializer=f),m}async loadWeights(e){let t=Array.isArray(this.path)?this.path[1]:this.path,[n,o]=TW(t),s=this.weightPathPrefix||n,a=[];for(let c of e)a.push(...c.weights);let i=[],l=[];for(let c of e)for(let p of c.paths)this.weightUrlConverter!=null?l.push(this.weightUrlConverter(p)):i.push(s+p+o);this.weightUrlConverter&&i.push(...await Promise.all(l));let u=await Tw(i,{requestInit:this
Actual : $ { o } .
Expected : $ { s } . ` );for(let a=0;a<s.length;++a){let i=o[a],l=s[a];if(!t(i,l))throw new Error( ` Arrays differ : actual [ $ { a } ] = $ { i } , expected [ $ { a } ] = $ { l } .
Actual : $ { o } .
Expected : $ { s } . ` )}}function HW(r,e){r().then(()=>e.fail(),()=>e())}function qW(r,e){let t=typeof e=="string"||typeof e=="number"||typeof e=="boolean"?[e]:e;return wo(r)||wo(r[0])||wo(e)||wo(e[0])?Fw(r,t,(n,o)=>n==o):Fw(r,e,(n,o)=>Ow(n,o,0))}function KW(r,e,t){if(t==null&&(t=Rw()),!Ow(r,e,t))throw new Error( ` Numbers differ : actual === $ { r } , expected === $ { e } ` )}function Ow(r,e,t){return!isFinite(r)&&!isFinite(e)?!0:!(isNaN(r)||isNaN(e)||Math.abs(r-e)>t)}function XW(r,e,t){for(let n=0;n<r.length;n++)if(r[n]<e||r[n]>t)throw new Error( ` Value out of range : $ { r [ n ] } low : $ { e } , high : $ { t } ` )}function YW(r,e){expect(new Float32Array(r)).toEqual(new Float32Array(e))}function $ T(r){for(let e=0;e<r.length;e++){let t=r[e];Array.isArray(t)? $ T(t):r[e]=ll(t)}return r}var ZW="3.5.0";function yae(){W().set("PROD",!0)}function bae(){W().set("DEBUG",!0)}function wae(){W().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function Pw(r){W().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(r+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}FS(Pw);function _ae(){A.disposeVariables()}function hs(){return A}function Lm(){return A.memory()}function kae(r){return A.profile(r)}function V(r,e){return A.tidy(r,e)}function Ee(r){Pm(r).forEach(t=>t.dispose())}function Et(r){return A.keep(r)}function vae(r){return A.time(r)}function JW(r){return A.setBackend(r)}function Cae(){return A.ready()}function Iae(){return A.backendName}function Nae(r){A.removeBackend(r)}function Sae(r){return A.findBackend(r)}function Tae(r){return A.findBackendFactory(r)}function Qc(r,e,t=1){return A.registerBackend(r,e,t)}function RT(){return A.backend}function Aae(r,e){W().setPlatform(r,e)}function QW(r,e){let t=k(r,"a","add"),n=k(e,"b","add");[t,n]=je(t,n);let o={a:t,b:n};return A.runKernel(On,o)}var ee=S({add_:QW});function ej(r,e){let t=k(r,"a","floorDiv"),n=k(e,"b","floorDiv");[t,n]=je(t,n);let o={a:t,b:n};return A.runKernel(Fo,o)}var Jl=S({floorDiv_:ej});function tj(r,e){let t=k(r,"a","div"),n=k(e,"b","div");if([t,n]=je(t,n),t.dtype==="int32"&&n.dtype==="int32")return Jl(t,n);let o={a:t,b:n},s={};return A.runKernel(Do,o,s)}var me=S({div_:tj});function rj(r,e){let t=k(r,"a","mul"),n=k(e,"b","mul");[t,n]=je(t,n);let o={a:t,b:n};return A.runKernel(Ho,o)}var P=S({mul_:rj});function nj(r){let e=k(r,"x","abs");if(e.dtype==="complex64"){let t={x:e};return A.runKernel(Za,t)}else{let t={x:e};return A.runKernel(zs,t)}}var Nt=S({abs_:nj});function oj(r){let t={x:k(r,"x","acos")};return A.runKernel(_i,t)}var zm=S({acos_:oj});function sj(r){let t={x:k(r,"x","acosh")};return A.runKernel(ki,t)}var Bm=S({acosh_:sj});function ij(r){T(Array.isArray(r),()=>"The argument passed to tf.addN() must be a list of tensors"),T(r.length>=1,()=> ` Must pass at least one tensor to tf . addN ( ) , but got $ { r . length } ` );let e=r.map((o,s)=>k(o, ` tensors$ { s } ` ,"addN")),t=e[0];e.forEach(o=>{if(o.dtype!==t.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),e.forEach(o=>{if(!Xr(o.shape,t.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let n=e;return A.runKernel(_o,n)}var Mw=S({addN_:ij});function aj(r,e=null,t=!1){let o={x:k(r,"x","all","bool")},s={axis:e,keepDims:t};return A.runKernel(vi,o,s)}var Ql=S({all_:aj});function lj(r,e=null,t=!1){let o={x:k(r,"x","any","bool")},s={axis:e,keepDims:t};return A.runKernel(Ci,o,s)}var ml=S({any_:lj});function uj(r,e=0){let n={x:k(r,"x","argMax")},o={axis:e};return A.runKernel(ko,n,o)}var fl=S({argMax_:uj});function cj(r,e=0){let n={x:k(r,"x","argMin")},o={axis:e};return A.runKernel(Ka,n,o)}var Vm=S({argMin_:cj});function pj(r){let t={x:k(r,"x","asin")};return A.runKernel(Ii,t)}var Gm=S({asin_:pj});function mj(r){let t={x:k(r,"x","asinh")};return A.runKernel(Ni,t)}var Wm=S({asinh_:mj});function fj(r){let t={x:k(r,"x","atan")};return A.runKernel(Si,t)}var jm=S({atan_:fj});function dj(r,e){let t=k(r,"a","atan2"),n=k(e,"b","atan2");[t,n]=je(t,n);let o={a:t,b:n};return A.runKernel(Ai,o)}var Um=S({atan2_:dj});function hj(r
with dtype $ { s . dtype } . ` )}),t.length===1)return Mn(t[0]);let n=t,o={axis:e};return A.runKernel(Bs,n,o)}var Qe=S({concat_:Ij});function Nj(r){let t={x:k(r,"x","sigmoid")};return A.runKernel(os,t)}var Er=S({sigmoid_:Nj});function Sj(r,e,t){let n=k(r,"x","slice","string_or_numeric");if(n.rank===0)throw new Error("Slicing scalar is not possible");let o={x:n},s={begin:e,size:t};return A.runKernel(Ks,o,s)}var Fe=S({slice_:Sj});function Tj(r){let t={x:k(r,"x","tanh")};return A.runKernel(ps,t)}var gs=S({tanh_:Tj});function Aj(r,e,t,n,o,s){let a=k(r,"forgetBias","basicLSTMCell"),i=k(e,"lstmKernel","basicLSTMCell"),l=k(t,"lstmBias","basicLSTMCell"),u=k(n,"data","basicLSTMCell"),c=k(o,"c","basicLSTMCell"),p=k(s,"h","basicLSTMCell"),m=Qe([u,p],1),f=ze(m,i),d=ee(f,l),h=d.shape[0],g=d.shape[1]/4,x=[h,g],b=Fe(d,[0,0],x),w=Fe(d,[0,g],x),_=Fe(d,[0,g*2],x),I=Fe(d,[0,g*3],x),E=ee(P(Er(b),gs(w)),P(c,Er(ee(a,_)))), $ =P(gs(E),Er(I));return[E, $ ]}var Ej=S({basicLSTMCell_:Aj});function Dj(r,e,t){let n=k(r,"x","batchToSpaceND"),o=e.reduce((i,l)=>i*l);T(n.rank>=1+e.length,()=> ` input rank is $ { n . rank } but should be > than blockShape . length $ { e . length } ` ),T(t.length===e.length,()=> ` crops . length is $ { t . length } but should be equal to blockShape . length $ { e . length } ` ),T(n.shape[0]%o==0,()=> ` input tensor batch is $ { n . shape [ 0 ] } but is not divisible by the product of the elements of blockShape $ { e . join ( " * " ) } === $ { o } ` );let s={x:n},a={blockShape:e,crops:t};return A.runKernel(Ya,s,a)}var da=S({batchToSpaceND_:Dj});function PT(r){let e;return r.rank===0||r.rank===1?e=L(r,[1,1,1,r.size]):r.rank===2?e=L(r,[1,1,r.shape[0],r.shape[1]]):r.rank===3?e=L(r,[1,r.shape[0],r.shape[1],r.shape[2]]):e=r,e}function $ j(r,e,t,n,o,s){s==null&&(s=.001);let a=k(r,"x","batchNorm"),i=k(e,"mean","batchNorm"),l=k(t,"variance","batchNorm"),u;o!=null&&(u=k(o,"scale","batchNorm"));let c;n!=null&&(c=k(n,"offset","batchNorm")),T(i.rank===l.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),T(c==null||i.rank===c.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),T(u==null||i.rank===u.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let m={x:PT(a),scale:u,offset:c,mean:i,variance:l},f={varianceEpsilon:s},d=A.runKernel(Oo,m,f);return L(d,a.shape)}var Jn=S({batchNorm_: $ j});function Rj(r,e,t,n,o,s){let a=k(r,"x","batchNorm"),i=k(e,"mean","batchNorm"),l=k(t,"variance","batchNorm"),u;o!=null&&(u=k(o,"scale","batchNorm"));let c;return n!=null&&(c=k(n,"offset","batchNorm")),T(a.rank===2,()=> ` Error in batchNorm2D : x must be rank 2 but got rank $ { a . rank } . ` ),T(i.rank===2||i.rank===1,()=> ` Error in batchNorm2D : mean must be rank 2 or rank 1 but got rank $ { i . rank } . ` ),T(l.rank===2||l.rank===1,()=> ` Error in batchNorm2D : variance must be rank 2 or rank 1 but got rank $ { l . rank } . ` ),u!=null&&T(u.rank===2||u.rank===1,()=> ` Error in batchNorm2D : scale must be rank 2 or rank 1 but got rank $ { u . rank } . ` ),c!=null&&T(c.rank===2||c.rank===1,()=> ` Error in batchNorm2D : offset must be rank 2 or rank 1 but got rank $ { c . rank } . ` ),Jn(a,i,l,c,u,s)}var Vw=S({batchNorm2d_:Rj});function Fj(r,e,t,n,o,s){let a=k(r,"x","batchNorm"),i=k(e,"mean","batchNorm"),l=k(t,"variance","batchNorm"),u;o!=null&&(u=k(o,"scale","batchNorm"));let c;return n!=null&&(c=k(n,"offset","batchNorm")),T(a.rank===3,()=> ` Error in batchNorm3D : x must be rank 3 but got rank $ { a . rank } . ` ),T(i.rank===3||i.rank===1,()=> ` Error in batchNorm3D : mean must be rank 3 or rank 1 but got rank $ { i . rank } . ` ),T(l.rank===3||l.rank===1,()=> ` Error in batchNorm3D : variance must be rank 3 or rank 1 but got rank $ { l . rank } . ` ),u!=null&&T(u.rank===3||u.rank===1,()=> ` Error in batchNorm3D : scale must be rank 3 or rank 1 but got rank $ { u . rank } . ` ),c!=null&&T(c.rank===3||c.rank===1,()=> ` Error in batchNorm3D : offset must be rank 3 or rank 1 but got rank $ { c . rank } . ` ),Jn(a,i,l,c,u,s)}var Gw=S({batchNorm3d_:Fj});function Oj(r,e,t,n,o,s){let a=k(r,"x","batchNorm"),i=k(e,"mean","batchNorm"),l=k(t,"variance","batchNorm"),u;o!=null&&(u=k(o,"scale","batchNorm"));let c;return n!=
$ { o } and $ { e } for depthToSpace with input shape
$ { n . shape } ` ),T(s*e>=0,()=> ` Negative dimension size caused by overflow when multiplying
$ { s } and $ { e } for depthToSpace with input shape
$ { n . shape } ` ),T(a%(e*e)==0,()=> ` Dimension size must be evenly divisible by $ { e * e } but is $ { a } for depthToSpace with input shape $ { n . shape } ` );let i={x:n},l={blockSize:e,dataFormat:t};return A.runKernel( $ i,i,l)}var Ym=S({depthToSpace_:t4});function r4(r,e,t,n,o="NHWC",s=[1,1],a){let i=k(r,"x","depthwiseConv2d"),l=k(e,"filter","depthwiseConv2d"),u=i,c=!1;i.rank===3&&(c=!0,u=L(i,[1,i.shape[0],i.shape[1],i.shape[2]])),T(u.rank===4,()=> ` Error in depthwiseConv2d : input must be rank 4 , but got rank $ { u . rank } . ` ),T(l.rank===4,()=> ` Error in depthwiseConv2d : filter must be rank 4 , but got rank $ { l . rank } . ` ),T(u.shape[3]===l.shape[2],()=> ` Error in depthwiseConv2d : number of input channels ( $ { u . shape [ 3 ] } ) must match the inChannels dimension in filter $ { l . shape [ 2 ] } . ` ),a!=null&&T(ot(n),()=> ` Error in depthwiseConv2d : pad must be an integer when using , dimRoundingMode $ { a } but got pad $ { n } . ` );let p={x:u,filter:l},m={strides:t,pad:n,dataFormat:o,dilations:s,dimRoundingMode:a},f=A.runKernel(Eo,p,m);return c?L(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var xs=S({depthwiseConv2d_:r4});function n4(r){let t={x:k(r,"x","diag")};return A.runKernel(Nc,t)}var o4=S({diag_:n4});function s4(r,e,t,n,o=[1,1],s="NHWC"){let a=k(r,"x","dilation2d"),i=k(e,"filter","dilation2d");T(a.rank===3||a.rank===4,()=> ` Error in dilation2d : input must be rank 3 or 4 , but got rank $ { a . rank } . ` ),T(i.rank===3,()=> ` Error in dilation2d : filter must be rank 3 , but got rank $ { i . rank } . ` ),T(s==="NHWC",()=> ` Error in dilation2d : Only NHWC is currently supported , but got dataFormat of $ { s } ` );let l=a,u=!1;a.rank===3&&(l=L(a,[1,a.shape[0],a.shape[1],a.shape[2]]),u=!0);let c={x:l,filter:i},p={strides:t,pad:n,dilations:o},m=A.runKernel(Qa,c,p);return u?L(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var Zm=S({dilation2d_:s4});function i4(r,e){let t=r.length,n=[];for(let o=0;o<t;o++){let s=t-1-o,a=r[s]||1;(e[e.length-1-o]||1)>1&&a===1&&n.unshift(s)}return n}function kt(r,e){let t=[];for(let n=0;n<e.length;n++){let o=r[r.length-n-1],s=e.length-n-1,a=e[s];(o==null||o===1&&a>1)&&t.unshift(s)}return t}function Be(r,e){let t=[],n=Math.max(r.length,e.length);for(let o=0;o<n;o++){let s=r[r.length-o-1];s==null&&(s=1);let a=e[e.length-o-1];if(a==null&&(a=1),s===1)t.unshift(a);else if(a===1)t.unshift(s);else if(s!==a){let i= ` Operands could not be broadcast together with shapes $ { r } and $ { e } . ` ;throw Error(i)}else t.unshift(s)}return t}function a4(r,e){let t=k(r,"a","equal"),n=k(e,"b","equal");[t,n]=je(t,n),Be(t.shape,n.shape);let o={a:t,b:n};return A.runKernel(Oi,o)}var Nn=S({equal_:a4});function l4(r,e,t){let n=k(e,"a","where"),o=k(t,"b","where"),s=k(r,"condition","where","bool"),a=Be(Be(s.shape,n.shape),o.shape),i=ha(s,a),l=ha(n,a),u=ha(o,a),c={condition:i,t:l,e:u};return A.runKernel(qs,c)}var Dt=S({where_:l4});function u4(r){let t={x:k(r,"x","zerosLike")};return A.runKernel(Zs,t)}var Ie=S({zerosLike_:u4});function c4(r,e){let t=k(r,"a","div"),n=k(e,"b","div");[t,n]=je(t,n);let o=me(t,n),s=Ie(o),a=Nn(n,s);return Dt(a,s,o)}var Jm=S({divNoNan_:c4});function p4(r,e){let t=k(r,"t1","dot"),n=k(e,"t2","dot");T((t.rank===1||t.rank===2)&&(n.rank===1||n.rank===2),()=> ` Error in dot : inputs must all be rank 1 or 2 , but got ranks $ { t . rank } and $ { n . rank } . ` );let o=t.rank===1?t.size:t.shape[1],s=n.rank===1?n.size:n.shape[0];if(T(o===s,()=> ` Error in dot : inner dimensions of inputs must match , but got $ { o } and $ { s } . ` ),t.rank===1&&n.rank===1){let a=L(t,[1,-1]),i=L(n,[-1,1]),l=ze(a,i);return L(l,[])}else if(t.rank===1&&n.rank===2){let a=L(t,[1,-1]),i=L(n,[n.shape[0],n.shape[1]]),l=ze(a,i);return L(l,[l.size])}else if(t.rank===2&&n.rank===1){let a=L(n,[-1,1]),i=ze(t,a);return L(i,[i.size])}else{let a=L(n,[n.shape[0],n.shape[1]]);return ze(t,a)}}var Zw=S({dot_:p4});function m4(r,...e){let t=e.map((o,s)=>k(o, ` tensors$ { s } ` ,"einsum")),n={equation:r};return A.runKernel(Sc,t,n)}var Jw=S({einsum_:m4});function f4(r){let t={x:k(r,"x","elu")};return A.runKernel(Ri,t)}var ys=S({elu_:f4});function d4(r){let e=k(r,"x","erf");T(e.dtype==="int32"||e.dtype==="float32",()=>"Input dtype must be ` int32 ` or ` float32 ` ."),e.dtype==="int32
rank $ { s . rank } . ` ),T(ot(e),()=> ` Error in localResponseNormalization : depthRadius must be an integer but got depthRadius $ { e } . ` );let a=s,i=!1;s.rank===3&&(i=!0,a=L(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let l={x:a},u={depthRadius:e,bias:t,alpha:n,beta:o},c=A.runKernel(tl,l,u);return i?L(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var rf=S({localResponseNormalization_:D4});function $ 4(r){let t={x:k(r,"x","log")};return A.runKernel(Lo,t)}var cr=S({log_: $ 4});function R4(r){let t={x:k(r,"x","log1p")};return A.runKernel(Ui,t)}var lu=S({log1p_:R4});function F4(r){return T(Ms(r),()=>"The f passed in grad(f) must be a function"),(e,t)=>{let n=k(e,"x","tf.grad","string_or_numeric"),o=t!=null?k(t,"dy","tf.grad"):null;return A.tidy(()=>{let{value:s,grads:a}=A.gradients(()=>r(n),[n],o);return o!=null&&At(s.shape,o.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),hg(a),a[0]})}}function O4(r){return T(Ms(r),()=>"The f passed in grads(f) must be a function"),(e,t)=>{T(Array.isArray(e),()=>"The args passed in grads(f)(args) must be an array of ` Tensor ` s or ` TensorLike ` s");let n=la(e,"args","tf.grads","string_or_numeric"),o=t!=null?k(t,"dy","tf.grads"):null;return A.tidy(()=>{let{value:s,grads:a}=A.gradients(()=>r(...n),n,o);return o!=null&&At(s.shape,o.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),hg(a),a})}}function P4(r){return T(Ms(r),()=>"The f passed in valueAndGrad(f) must be a function"),(e,t)=>{T(e instanceof Pe,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),T(t==null||t instanceof Pe,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:n,value:o}=A.gradients(()=>r(e),[e],t);return hg(n),{grad:n[0],value:o}}}function M4(r){return T(Ms(r),()=>"The f passed in valueAndGrads(f) must be a function"),(e,t)=>{T(Array.isArray(e)&&e.every(o=>o instanceof Pe),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),T(t==null||t instanceof Pe,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let n=A.gradients(()=>r(...e),e,t);return t!=null&&At(n.value.shape,t.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),hg(n.grads),n}}function gg(r,e){T(Ms(r),()=>"The f passed in variableGrads(f) must be a function"),T(e==null||Array.isArray(e)&&e.every(u=>u instanceof ul),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let t=e!=null;if(!t){e=[];for(let u in A.registeredVariables)e.push(A.registeredVariables[u])}let n=t?e.filter(u=>!u.trainable):null,o=e.length;e=e.filter(u=>u.trainable),T(e.length>0,()=> ` variableGrads ( ) expects at least one of the input variables to be trainable , but none of the $ { o } variables is trainable . ` );let s=!0,{value:a,grads:i}=A.gradients(r,e,null,s);T(i.some(u=>u!=null),()=>"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."),T(a.rank===0,()=> ` The f passed in variableGrads ( f ) must return a scalar , but it returned a rank - $ { a . rank } tensor ` );let l={};return e.forEach((u,c)=>{i[c]!=null&&(l[u.name]=i[c])}),n!=null&&n.forEach(u=>l[u.name]=null),{value:a,grads:l}}function Qr(r){return A.customGrad(r)}function hg(r){if(r.filter(t=>t==null).length>0)throw new Error( ` Cannot compute gradient of y = f ( x ) with respect to x . Make sure that
the f you passed encloses all operations that lead from x to y . ` )}function L4(r){let t={x:k(r,"x","neg")};return A.runKernel(Ws,t)}var qe=S({neg_:L4});function z4(r){let t={x:k(r,"x","softplus")};return A.runKernel(oa,t)}var eo=S({softplus_:z4});function B4(r){let e=k(r,"x","logSigmoid");return Qr(n=>({value:qe(eo(qe(n))),gradFunc:a=>P(a,Er(qe(n)))}))(e)}var r_=S({logSigmoid_:B4});function V4(r,e=null,t=!1){let o={x:k(r,"x","max")},s={reductionIndices:e,keepDims:t};return A.runKernel(zo,o,s)}var pr=S({max_:V4});function G4(r,e){let t=k(r,"a","sub"),n=k(e,"b","sub");[t,n]=je(t,n);let o={a:t,b:n};return A.runKernel(us,o)}var pe=S({sub_:G4});function W4(r,e=null,t=!1){let n=k(r,"x","sum");n.dtype==="bool"&&(n=oe(n,"int32"));let o={x:n},s={axis:e,keepDims:t};return A.runKernel(is,o,s)}var ge=S({sum_:W4});function j4(r,e=-1){let t=k(r,"logits","logSoftmax");if(e===-1&&(e=t.rank-1),e!==t.rank-1)throw Error( ` Log Softmax along a non - last dimension is not yet supported . Logits was rank $ { t . rank } and axis was $ { e } ` );return Qr((o,s)=>{let a=!0,i=pr(o,e,!0),l=pe(o,i),u=pe(oe(l,"float32"),cr(ge(Jt(l),e,a)));return s([u]),{value:u,gradFunc:(p,m)=>{let[f]=m,d=!0,h=Jt(f);return pe(p,P(ge(p,e,d),h))}}})(t)}var uu=S({logSoftmax_:j4});function n_(r,e){for(let t=0;t<r.length;++t)if(r[r.length-t-1]!==e-1-t)return!1;return!0}function MT(r,e,t){let n=r.length+e.length,o=[],s=0,a=0;for(let i=0;i<n;i++)t.indexOf(i)===-1?o.push(r[s++]):o.push(e[a++]);return o}function o_(r,e){let t=[],n=r.length;for(let s=0;s<n;s++)e.indexOf(s)===-1&&t.push(r[s]);let o=e.map(s=>r[s]);return[t,o]}function to(r,e){let t=e.map(n=>1);return MT(r,t,e)}function U4(r,e,t){T(n_(e,t),()=> ` $ { r } supports only inner - most axes for now . Got axes $ { e } and rank - $ { t } input . ` )}function s_(r,e){if(n_(r,e))return null;let t=[];for(let n=0;n<e;++n)r.indexOf(n)===-1&&t.push(n);return r.forEach(n=>t.push(n)),t}function nf(r){return r.map((e,t)=>[t,e]).sort((e,t)=>e[1]-t[1]).map(e=>e[0])}function H4(r,e){let t=[];for(let n=e-r;n<e;++n)t.push(n);return t}function q4(r,e=null,t=!1){let n=k(r,"x","logSumExp"),o=tr(e,n.shape),s=pr(n,o,!0),a=pe(n,s),i=Jt(a),l=ge(i,o),u=cr(l),c=ee(L(s,u.shape),u);if(t){let p=to(c.shape,o);return L(c,p)}return c}var of=S({logSumExp_:q4});function K4(r,e){let t=k(r,"a","logicalAnd","bool"),n=k(e,"b","logicalAnd","bool");Be(t.shape,n.shape);let o={a:t,b:n};return A.runKernel(Hi,o)}var yr=S({logicalAnd_:K4});function X4(r){let t={x:k(r,"x","logicalNot","bool")};return A.runKernel(jl,t)}var ba=S({logicalNot_:X4});function Y4(r,e){let t=k(r,"a","logicalOr","bool"),n=k(e,"b","logicalOr","bool");Be(t.shape,n.shape);let o={a:t,b:n};return A.runKernel(Ul,o)}var cu=S({logicalOr_:Y4});function Z4(r,e){let t=k(r,"a","logicalXor","bool"),n=k(e,"b","logicalXor","bool");return Be(t.shape,n.shape),yr(cu(r,e),ba(yr(r,e)))}var i_=S({logicalXor_:Z4});function J4(r,e,t,n,o){let s=k(r,"x","maxPool"),a=1,i=s,l=!1;s.rank===3&&(l=!0,i=L(s,[1,s.shape[0],s.shape[1],s.shape[2]])),T(i.rank===4,()=> ` Error in maxPool : input must be rank 4 but got rank $ { i . rank } . ` ),T(vr(t,a),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { t } and dilations '${a}' ` ),o!=null&&T(ot(n),()=> ` Error in maxPool : pad must be an integer when using , dimRoundingMode $ { o } but got pad $ { n } . ` );let u={x:i},c={filterSize:e,strides:t,pad:n,dimRoundingMode:o},p=A.runKernel(Vo,u,c);return l?L(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var wa=S({maxPool_:J4});function Q4(r,e=[1,1,1],t,n,o,s="NDHWC"){let a=k(r,"x","maxPool3d"),i=a,l=!1;a.rank===4&&(l=!0,i=L(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),T(i.rank===5,()=> ` Error in maxPool3d : x must be rank 5 but got rank $ { i . rank } . ` ),T(s==="NDHWC",()=> ` Error in maxPool3d : Only NDHWC is currently supported , but got dataFormat of $ { s } ` ),o!=null&&T(ot(n),()=> ` Error in maxPool3d : pad must be an integer when using , dimRoundingMode $ { o } but got pad $ { n } . ` );let u={x:i},c={filterSize:e,strides:t,pad:n,dimRoundingMode:o,dataFormat:s},p=A.runKernel(rl,u,c);return l?L(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var sf=S({maxPool3d_:Q4});function eU(r
$ { n . shape } ` );if(o.rank!==1)throw new Error( ` Input shape should be Tensor1D but received shape $ { o . shape } ` );if(s.rank!==1)throw new Error( ` New shape should be Tensor1D but received shape $ { s . shape } ` );let a={inputIndices:n,inputShape:o,newShape:s},i=A.runKernel(Vc,a);return{outputIndices:i[0],outputShape:i[1]}}var F1=S({sparseReshape_:Rq});var zFe={fft:Ca,ifft:oi,rfft:Ia,irfft:yu},BFe={hammingWindow:l1,hannWindow:Ng,frame:Sg,stft:u1},ii={flipLeftRight:p1,resizeNearestNeighbor: $ g,resizeBilinear:Dg,rotateWithOffset:m1,cropAndResize:c1,nonMaxSuppression:f1,nonMaxSuppressionAsync:g1,nonMaxSuppressionWithScore:x1,nonMaxSuppressionWithScoreAsync:y1,nonMaxSuppressionPadded:b1,nonMaxSuppressionPaddedAsync:w1,transform:_1},O1={bandPart:k1,gramSchmidt:v1,qr:I1},VFe={absoluteDifference:N1,computeWeightedLoss: $ r,cosineDistance:S1,hingeLoss:T1,huberLoss:A1,logLoss:E1,meanSquaredError:D1,sigmoidCrossEntropy: $ 1,softmaxCrossEntropy:R1},P1={sparseReshape:F1};var Br=class extends mg{minimize(e,t=!1,n){let{value:o,grads:s}=this.computeGradients(e,n);if(n!=null){let a=n.map(i=>({name:i.name,tensor:s[i.name]}));this.applyGradients(a)}else this.applyGradients(s);return Ee(s),t?o:(o.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return gg(e,t)}dispose(){this.iterations_!=null&&Ee(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:le(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error( ` setWeights ( ) is not implemented for this optimizer class $ { this . getClassName ( ) } ` )}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(Br,Symbol.hasInstance,{value:r=>r.minimize!=null&&r.computeGradients!=null&&r.applyGradients!=null});var cp=class extends Br{constructor(e,t,n=null){super();this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=A.backend.epsilon())}applyGradients(e){(Array.isArray(e)?e.map(n=>n.name):Object.keys(e)).forEach((n,o)=>{let s=A.registeredVariables[n],a=!1;this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName: ` $ { n } / accum _grad ` ,variable:V(()=>Ie(s).variable(a))}),this.accumulatedUpdates[o]==null&&(this.accumulatedUpdates[o]={originalName: ` $ { n } / accum _var ` ,variable:V(()=>Ie(s).variable(a))});let i=Array.isArray(e)?e[o].tensor:e[n];if(i==null)return;let l=this.accumulatedGrads[o].variable,u=this.accumulatedUpdates[o].variable;V(()=>{let c=ee(P(l,this.rho),P(Me(i),1-this.rho)),p=P(me(gt(ee(u,this.epsilon)),gt(ee(l,this.epsilon))),i),m=ee(P(u,this.rho),P(Me(p),1-this.rho));l.assign(c),u.assign(m);let f=ee(P(p,-this.learningRate),s);s.assign(f)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(Ee(this.accumulatedGrads.map(e=>e.variable)),Ee(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){let e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=e.length/2,n=!1;this.accumulatedGrads=e.slice(0,t).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedUpdates=e.slice(t,t*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}};cp.className="Adadelta";dn(cp);var pp=class extends Br{constructor(e,t=.1){super();this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}applyGradients(e){(Array.isArray(e)?e.map(n=>n.name):Object.keys(e)).forEach((n,o)=>{let s=A.registeredVariables[n];if(this.accumulatedGrads[o]==null){let l=!1;this.accumulatedGrads[o]={originalName: ` $ { n } / accumulator ` ,variable:V(()=>xa(s.shape,t
$ { s } ) . ` );if(t<n)throw new Error( ` batchDims ( $ { n } ) must be less than or equal to axis ( $ { t } ) . ` );for(let p=0;p<n;++p)if(r.shape[p]!==e.shape[p])throw new Error( ` x . shape [ $ { p } ] : $ { r . shape [ p ] } should be equal to indices . shape [ $ { p } ] : $ { e . shape [ p ] } . ` );let a=r.shape[t],i=[],l=1,u=1,c=1;for(let p=0;p<n;++p)i.push(r.shape[p]),l*=r.shape[p];for(let p=n;p<t;p++)i.push(r.shape[p]),u*=r.shape[p];for(let p=n;p<o;p++)i.push(e.shape[p]);for(let p=t+1;p<s;p++)i.push(r.shape[p]),c*=r.shape[p];return{batchSize:l,sliceSize:c,outerSize:u,dimSize:a,outputShape:i}}function xK(r){try{return r.map(e=>qc(e))}catch(e){throw new Error( ` Failed to decode encoded string bytes into utf - 8 , error : $ { e } ` )}}function yK(r){return r.map(e=>ll(e))}var Rr={};We(Rr,{nonMaxSuppressionV3Impl:()=>Tg,nonMaxSuppressionV4Impl:()=>Ag,nonMaxSuppressionV5Impl:()=>Eg,whereImpl:()=>_g});function te(r,e){Array.isArray(r)||(r=[r]),r.forEach(t=>{t!=null&&y.assert(t.dtype!=="complex64",()=> ` $ { e } does not support complex64 tensors in the CPU backend . ` )})}var bK=Rr.whereImpl,Nu=class extends Ps{constructor(){super();this.blockSize=48,this.firstUse=!0,this.data=new qa(this,hs())}nextDataId(){return Nu.nextDataId++}write(e,t,n){this.firstUse&&(this.firstUse=!1,W().get("IS_NODE")&&C.warn( `
=== === === === === === === === === =
Hi there \ u { 1 F44B } . Looks like you are running TensorFlow . js in Node . js . To speed things up dramatically , install our node backend , which binds to TensorFlow C ++ , by running npm i @ tensorflow / tfjs - node , or npm i @ tensorflow / tfjs - node - gpu if you have CUDA . Then call require ( '@tensorflow/tfjs-node' ) ; ( - gpu suffix for CUDA ) at the start of your program . Visit https : //github.com/tensorflow/tfjs-node for more details.
=== === === === === === === === === = ` ));let o={id:this.nextDataId()};return this.data.set(o,{values:e,dtype:n,refCount:1}),o}makeTensorInfo(e,t,n){let o;if(t==="string"&&n!=null&&n.length>0&&y.isString(n[0])){let s=n.map(a=>y.encodeString(a));o=this.write(s,e,t)}else o=this.write(n,e,t);return{dataId:o,shape:e,dtype:t}}refCount(e){return this.data.has(e)?this.data.get(e).refCount:0}incRef(e){let t=this.data.get(e);t.refCount++}decRef(e){if(this.data.has(e)){let t=this.data.get(e);t.refCount--}}move(e,t,n,o,s){this.data.set(e,{values:t,dtype:o,refCount:s})}numDataIds(){return this.data.numDataIds()}async read(e){return this.readSync(e)}readSync(e){let{dtype:t,complexTensorInfos:n}=this.data.get(e);if(t==="complex64"){let o=this.readSync(n.real.dataId),s=this.readSync(n.imag.dataId);return C.mergeRealAndImagArrays(o,s)}return this.data.get(e).values}bufferSync(e){let t=this.readSync(e.dataId),n=t;if(e.dtype==="string")try{n=t.map(o=>y.decodeString(o))}catch(o){throw new Error("Failed to decode encoded string bytes into utf-8")}return Ce(e.shape,e.dtype,n)}makeOutput(e,t,n){let o=this.write(e,t,n);return hs().makeTensorFromDataId(o,t,n,this)}disposeData(e,t=!1){if(this.data.has(e)){if(this.data.get(e).refCount--,!t&&this.data.get(e).refCount>0)return!1;let{complexTensorInfos:n}=this.data.get(e);n!=null&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(e)}return!0}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}async time(e){let t=y.now();return e(),{kernelMs:y.now()-t}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(e){te([e],"where");let t=this.readSync(e.dataId);return bK(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};Nu.nextDataId=0;var Wg={};We(Wg,{addImpl:()=>T_,bincountImpl:()=>yp,bincountReduceImpl:()=>Fg,ceilImpl:()=>A_,concatImpl:()=>Su,expImpl:()=>E_,expm1Impl:()=> $ _,floorImpl:()=>R_,gatherV2Impl:()=>Og,greaterImpl:()=>F_,lessImpl:()=>O_,linSpaceImpl:()=>Pg,logImpl:()=>P_,maxImpl:()=>Mg,maximumImpl:()=>M_,minimumImpl:()=>L_,multiplyImpl:()=>_f,negImpl:()=>z_,notEqualImpl:()=>B_,prodImpl:()=>V_,rangeImpl:()=>Au,rsqrtImpl:()=>G_,simpleAbsImpl:()=>S_,sliceImpl:()=>Eu,sparseReshapeImpl:()=>Lg,squaredDifferenceImpl:()=>W_,stridedSliceImpl:()=>zg,subImpl:()=>j_,tileImpl:()=>Bg,topKImpl:()=>Vg,transposeImpl:()=>bp,uniqueImpl:()=>Gg});function S_(r){let e=new Float32Array(r.length);for(let t=0;t<r.length;++t)e[t]=Math.abs(r[t]);return e}var wK=r=>{let{x:e}=r.inputs,t=r.backend;te(e,"abs");let n=new Float32Array(y.sizeFromShape(e.shape)),o=t.data.get(e.dataId).values;return n=S_(o),t.makeOutput(n,e.shape,"float32")},z1={kernelName:zs,backendName:"cpu",kernelFunc:wK};function Ye(r){return(e,t,n,o,s)=>{let a=C.assertAndGetBroadcastShape(e,t),i=a.length,l=y.computeStrides(a),u=y.sizeFromShape(a),c=y.getTypedArrayFromDType(s,u),p=e.length,m=t.length,f=y.computeStrides(e),d=y.computeStrides(t),h=C.getBroadcastDims(e,a),g=C.getBroadcastDims(t,a);if(h.length+g.length===0)for(let x=0;x<c.length;++x)c[x]=r(n[x%n.length],o[x%o.length]);else for(let x=0;x<c.length;++x){let b=y.indexToLoc(x,i,l),w=b.slice(-p);h.forEach( $ =>w[ $ ]=0);let _=y.locToIndex(w,p,f),I=b.slice(-m);g.forEach( $ =>I[ $ ]=0);let E=y.locToIndex(I,m,d);c[x]=r(n[_],o[E])}return[c,a]}}function dr(r){let{inputs:e,backend:t}=r,{real:n,imag:o}=e,s=t.data.get(n.dataId).values,a=t.data.get(o.dataId).values,i=t.makeTensorInfo(n.shape,"complex64"),l=t.data.get(i.dataId);return l.complexTensorInfos={real:t.makeTensorInfo(n.shape,"float32",s),imag:t.makeTensorInfo(o.shape,"float32",a)},i}var B1={kernelName:bc,backendName:"cpu",kernelFunc:dr};function gp(r,e,t="float32"){if(t==="complex64"){let o=gp(r,e,"float32"),s=gp(r,e,"float32");return dr({inputs:{real:o,imag:s},backend:r})}let n=y.makeZerosTypedArray(y.sizeFromShape(e),t);return r.makeTensorInfo(e,t,n)}function Fr(r){let{inputs:e,backend:t}=r,{x:n}=e;return t.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var V1={kern
dense values , but the requested shape requires a multiple of $ { u } . inputShape = $ { n } outputShape = $ { l } ` );l[c]=g}let p=y.sizeFromShape(l);if(p!==s)throw new Error( ` Input to reshape is a tensor with $ { s } dense values , but the requested shape has $ { p } . inputShape = $ { n } outputShape = $ { l } ` );let m=n.length,f=[];if(m>0){f[m-1]=1;for(let g=m-2;g>=0;--g)f[g]=f[g+1]*n[g+1]}let d=[];if(i>0){d[i-1]=1;for(let g=i-2;g>=0;--g)d[g]=d[g+1]*l[g+1]}let h=y.getArrayFromDType(t,a*i);for(let g=0;g<a;++g){let x=0;for(let b=0;b<m;++b)x+=r[g*m+b]*f[b];for(let b=0;b<i;++b)h[g*i+b]=Math.trunc(x/d[b]),x%=d[b]}return[h,[a,i],l]}var W_=Ye((r,e)=>{let t=r-e;return t*t}),OK=et(ls,W_),aA={kernelName:ls,backendName:"cpu",kernelFunc:OK};function zg(r,e,t,n){let o=Ce(r,e.dtype);for(let s=0;s<o.size;s++){let a=o.indexToLoc(s),i=new Array(a.length);for(let l=0;l<i.length;l++)i[l]=a[l]*t[l]+n[l];o.set(e.get(...i),...a)}return o}var j_=Ye((r,e)=>r-e),PK=xp((r,e,t,n)=>({real:r-t,imag:e-n})),kf=et(us,j_,PK),lA={kernelName:us,backendName:"cpu",kernelFunc:kf};function Bg(r,e){let t=new Array(r.rank);for(let o=0;o<t.length;o++)t[o]=r.shape[o]*e[o];let n=Ce(t,r.dtype);for(let o=0;o<n.values.length;++o){let s=n.indexToLoc(o),a=new Array(r.rank);for(let l=0;l<a.length;l++)a[l]=s[l]%r.shape[l];let i=r.locToIndex(a);n.values[o]=r.values[i]}return n}function Vg(r,e,t,n,o){let s=e[e.length-1],[a,i]=[r.length/s,s],l=y.getTypedArrayFromDType(t,a*n),u=y.getTypedArrayFromDType("int32",a*n);for(let p=0;p<a;p++){let m=p*i,f=r.subarray(m,m+i),d=[];for(let b=0;b<f.length;b++)d.push({value:f[b],index:b});d.sort((b,w)=>w.value-b.value);let h=p*n,g=l.subarray(h,h+n),x=u.subarray(h,h+n);for(let b=0;b<n;b++)g[b]=d[b].value,x[b]=d[b].index}let c=e.slice();return c[c.length-1]=n,[Ce(c,t,l),Ce(c,"int32",u)]}function Gg(r,e,t,n){let o=y.parseAxisParam(e,t)[0],s=[1,t[0],1];for(let d=0;d<o;d++)s[0]*=t[d];s[1]=t[o];for(let d=o+1;d<t.length;d++)s[2]*=t[d];let a={},i=new Int32Array(t[o]),l=new ut(s,n,r),u=[],c=s[0]===1&&s[2]===1;for(let d=0;d<t[o];d++){let h;if(c)h=r[d].toString();else{let g=[];for(let x=0;x<s[0];x++)for(let b=0;b<s[2];b++)g.push(l.get(x,d,b));h=g.join(",")}if(a[h]!==void 0)i[d]=a[h];else{let g=Object.keys(a).length;a[h]=g,i[d]=g,u.push(d)}}let p=s.slice();p[1]=Object.keys(a).length;let m=new ut(p,n);u.forEach((d,h)=>{for(let g=0;g<s[0];g++)for(let x=0;x<s[2];x++)m.set(l.get(g,d,x),g,h,x)});let f=t.slice();return f[o]=p[1],{outputValues:m.values,outputShape:f,indices:i}}var U_="3.5.0";Qc("cpu",()=>new Nu,1);var H_= $ e(Ri,r=>r>=0?r:Math.exp(r)-1),uA={kernelName:Ri,backendName:"cpu",kernelFunc:H_};function q_(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{alpha:s}=n;te([o],"leakyRelu");let a=y.sizeFromShape(o.shape),i=t.data.get(o.dataId).values,l=y.getTypedArrayFromDType("float32",a);for(let u=0;u<i.length;u++)l[u]=i[u]<0?s*i[u]:i[u];return t.makeTensorInfo(o.shape,"float32",l)}var cA={kernelName:Mo,backendName:"cpu",kernelFunc:q_};var MK=Ye((r,e)=>r<0?e*r:r);function K_(r){let{inputs:e,backend:t}=r,{x:n,alpha:o}=e;te([n,o],"prelu");let s=t.data.get(n.dataId).values,a=t.data.get(o.dataId).values,[i,l]=MK(n.shape,o.shape,s,a,n.dtype);return t.makeTensorInfo(l,n.dtype,i)}var pA={kernelName:Yo,backendName:"cpu",kernelFunc:K_};var X_= $ e(Zo,r=>Math.max(0,r)),mA={kernelName:Zo,backendName:"cpu",kernelFunc:X_};var Y_= $ e(Qo,r=>Math.min(Math.max(0,r),6)),fA={kernelName:Qo,backendName:"cpu",kernelFunc:Y_};var Z_= $ e(os,r=>1/(1+Math.exp(-r))),dA={kernelName:os,backendName:"cpu",kernelFunc:Z_};function wp(r,e,t,n,o){if(t==="linear")return Fr({inputs:{x:e},backend:r});if(t==="relu")return X_({inputs:{x:e},backend:r});if(t==="elu")return H_({inputs:{x:e},backend:r});if(t==="relu6")return Y_({inputs:{x:e},backend:r});if(t==="prelu")return K_({inputs:{x:e,alpha:n},backend:r});if(t==="leakyrelu")return q_({inputs:{x:e},backend:r,attrs:{alpha:o}});if(t==="sigmoid")return Z_({inputs:{x:e},backend:r});throw new Error( ` Activation $ { t } has not been implemented for the CPU backend . ` )}function Ze(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{shape:s}=n,a=y.sizeFromShape(o.shape),i=y.inferFromImpli
$ { n . shape } ` );if(o.shape.length!==1)throw new Error( ` Input shape should be a vector but received shape
$ { o . shape } ` );if(s.shape.length!==1)throw new Error( ` Target shape should be a vector but received shape $ { s . shape } ` );let a=Array.from(t.data.get(o.dataId).values),i=t.data.get(n.dataId).values,l=Array.from(t.data.get(s.dataId).values),[u,c,p]=Lg(i,n.shape,n.dtype,a,l);return[t.makeTensorInfo(c,n.dtype,u),t.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var _2={kernelName:Vc,backendName:"cpu",kernelFunc:U5};function H5(r){let{inputs:e,backend:t,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:a}=e,{outputShape:i}=n,{sliceRank:l,numUpdates:u,sliceSize:c,strides:p,outputSize:m}=C.calculateShapes(s,o,i),f=!1,d=t.bufferSync(o),h=t.bufferSync(s),g=t.data.get(a.dataId).values[0],x=Kg(d,h,i,m,c,u,l,p,g,f);return t.makeTensorInfo(i,x.dtype,x.values)}var k2={kernelName:Gc,backendName:"cpu",kernelFunc:H5};function q5(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{numOrSizeSplits:s,axis:a}=n,i=y.parseAxisParam(a,o.shape)[0],l=C.prepareSplitSize(o,s,i),u=new Array(o.shape.length).fill(0),c=o.shape.slice();return l.map(p=>{let m=[...c];m[i]=p;let f=uo({inputs:{x:o},backend:t,attrs:{begin:u,size:m}});return u[i]+=p,f})}var v2={kernelName:Xs,backendName:"cpu",kernelFunc:q5};var K5= $ e(ss,r=>Math.sqrt(r)),C2={kernelName:ss,backendName:"cpu",kernelFunc:K5};var I2={kernelName:il,backendName:"cpu",kernelFunc:({inputs:r,backend:e})=>{let{x:t}=r,n=e;te(t,"square");let o=n.data.get(t.dataId).values,s=new Float32Array(o.length);for(let i=0;i<o.length;++i){let l=o[i];s[i]=l*l}return{dataId:n.write(s,t.shape,t.dtype),shape:t.shape,dtype:t.dtype}}};var X5= $ e(Yn,(r,e)=>{let t=e;return isNaN(r)?NaN:r>0?1:t.alpha}),N2={kernelName:Yn,backendName:"cpu",kernelFunc:X5};function Y5(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{begin:s,end:a,strides:i,beginMask:l,endMask:u,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n;te(o,"stridedSlice");let{nonStrided:f, $ begin:d, $ strides:h,size:g,newShape:x,outShape:b}=rr.sliceInfo(o.shape,s,a,i,l,u,c,p,m),w=Ze({inputs:{x:o},backend:t,attrs:{shape:x}}),_;if(f){let E=uo({inputs:{x:w},backend:t,attrs:{begin:d,size:g}});_=Ze({inputs:{x:E},backend:t,attrs:{shape:b}}),t.disposeIntermediateTensorInfo(E)}else if(b.some(E=>E===0))_=t.makeTensorInfo(b,o.dtype,[]);else{let E=t.bufferSync(w), $ =zg(b,E,h,d);_=t.makeTensorInfo( $ .shape, $ .dtype, $ .values)}let I=Ze({inputs:{x:_},backend:t,attrs:{shape:b}});return t.disposeIntermediateTensorInfo(w),t.disposeIntermediateTensorInfo(_),I}var S2={kernelName:sa,backendName:"cpu",kernelFunc:Y5};var Z5= $ e(cs,r=>Math.tan(r)),T2={kernelName:cs,backendName:"cpu",kernelFunc:Z5};var J5= $ e(ps,r=>Math.tanh(r)),A2={kernelName:ps,backendName:"cpu",kernelFunc:J5};function Q5(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{reps:s}=n;te(o,"tile");let a=Bg(t.bufferSync(o),s);return t.makeTensorInfo(a.shape,a.dtype,a.values)}var E2={kernelName:Pn,backendName:"cpu",kernelFunc:Q5};function e8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{k:s,sorted:a}=n;te(o,"topk");let i=t.data.get(o.dataId).values,[l,u]=Vg(i,o.shape,o.dtype,s,a);return[t.makeTensorInfo(l.shape,l.dtype,l.values),t.makeTensorInfo(u.shape,u.dtype,u.values)]}var D2={kernelName:ia,backendName:"cpu",kernelFunc:e8};function n8(r){let{inputs:e,attrs:t,backend:n}=r,{image:o,transforms:s}=e,{interpolation:a,fillMode:i,fillValue:l,outputShape:u}=t,[c,p,m,f]=o.shape,[d,h]=u!=null?u:[p,m],g=[c,d,h,f],x=y.computeStrides(o.shape),b=x[0],w=x[1],_=x[2],I=y.getTypedArrayFromDType(o.dtype,y.sizeFromShape(g));I.fill(l);let E=n.data.get(o.dataId).values, $ =n.data.get(s.dataId).values;for(let O=0;O<c;++O){let M=s.shape[0]===1? $ : $ .subarray(O*8,O*8+8);for(let G=0;G<d;++G)for(let j=0;j<h;++j)for(let U=0;U<f;++U){let H,q=M[6]*j+M[7]*G+1;if(q===0)continue;let X=(M[0]*j+M[1]*G+M[2])/q,ne=(M[3]*j+M[4]*G+M[5])/q,Y= $ 2(X,m,i),re= $ 2(ne,p,i);switch(a){case"nearest":H=t8(E,p,m,b,w,_,O,re,Y,U,l);break;case"bilinear":H=r8(E,p,m,b,w,_,O,re,Y,U,l);break;default:throw new Error( ` Error in Transform : Expect 'nearest' or 'bilinear' , but got $ { a } ` )}let Q=O*b+G*w+j*_+U;I[Q]=H}return n.makeTensorInfo(g,o.dtype,I)}return{dataId:n.write(I,g,o.dtype),shape:o.shape,dtype:o
` ),s=o.length.toString().length+2,a=o.map((p,m)=>y.rightPad((m+1).toString(),s)+p),i=0;for(let p=0;p<a.length;p++)i=Math.max(a[p].length,i);let l=a.slice(0,n-1),u=a.slice(n-1,n),c=a.slice(n);console.log(l.join( `
` )),console.log(e.split( `
` )[0]),console.log( ` % c $ { y . rightPad ( u [ 0 ] , i ) } ` ,"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(c.join( `
` ))}function pk(r){return Aa(r,()=>r.createProgram(),"Unable to create WebGLProgram.")}function mk(r,e){if(Ne(r,()=>r.linkProgram(e)),r.getProgramParameter(e,r.LINK_STATUS)===!1)throw console.log(r.getProgramInfoLog(e)),new Error("Failed to link vertex and fragment shaders.")}function Af(r,e){if(Ne(r,()=>r.validateProgram(e)),r.getProgramParameter(e,r.VALIDATE_STATUS)===!1)throw console.log(r.getProgramInfoLog(e)),new Error("Shader program validation failed.")}function fk(r,e){let t=Aa(r,()=>r.createBuffer(),"Unable to create WebGLBuffer");return Ne(r,()=>r.bindBuffer(r.ARRAY_BUFFER,t)),Ne(r,()=>r.bufferData(r.ARRAY_BUFFER,e,r.STATIC_DRAW)),t}function dk(r,e){let t=Aa(r,()=>r.createBuffer(),"Unable to create WebGLBuffer");return Ne(r,()=>r.bindBuffer(r.ELEMENT_ARRAY_BUFFER,t)),Ne(r,()=>r.bufferData(r.ELEMENT_ARRAY_BUFFER,e,r.STATIC_DRAW)),t}function b8(){return W().getNumber("WEBGL_VERSION")===2?1:4}function hk(r){return Aa(r,()=>r.createTexture(),"Unable to create WebGLTexture.")}function gk(r,e){let t=W().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(r<=0||e<=0){let n= ` [ $ { r } x$ { e } ] ` ;throw new Error("Requested texture size "+n+" is invalid.")}if(r>t||e>t){let n= ` [ $ { r } x$ { e } ] ` ,o= ` [ $ { t } x$ { t } ] ` ;throw new Error("Requested texture size "+n+" greater than WebGL maximum on this browser / GPU "+o+".")}}function xk(r){return Aa(r,()=>r.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function Xg(r,e,t,n,o,s,a){let i=r.getAttribLocation(e,t);return i===-1?!1:(Ne(r,()=>r.bindBuffer(r.ARRAY_BUFFER,n)),Ne(r,()=>r.vertexAttribPointer(i,o,r.FLOAT,!1,s,a)),Ne(r,()=>r.enableVertexAttribArray(i)),!0)}function G2(r,e,t){V2(r,t),Ne(r,()=>r.activeTexture(r.TEXTURE0+t)),Ne(r,()=>r.bindTexture(r.TEXTURE_2D,e))}function w8(r,e){V2(r,e),Ne(r,()=>r.activeTexture(r.TEXTURE0+e)),Ne(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function yk(r,e,t){return Aa(r,()=>r.getUniformLocation(e,t),'uniform "'+t+'" not present in program.')}function bk(r,e,t){return r.getUniformLocation(e,t)}function wk(r,e,t,n){Ne(r,()=>G2(r,e,n)),Ne(r,()=>r.uniform1i(t,n))}function _8(r){Ne(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,null)),Ne(r,()=>r.viewport(0,0,r.canvas.width,r.canvas.height)),Ne(r,()=>r.scissor(0,0,r.canvas.width,r.canvas.height))}function Ef(r,e,t){Ne(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,t)),Ne(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,e,0))}function Yg(r,e){Ne(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,e)),Ne(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,null,0))}function Cp(r){let e=r.checkFramebufferStatus(r.FRAMEBUFFER);if(e!==r.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+W2(r,e))}function W2(r,e){switch(e){case r.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case r.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case r.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case r.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return ` unknown error $ { e } ` }}function Aa(r,e,t){let n=Ne(r,()=>e());if(n==null)throw new Error(t);return n}function V2(r,e){let t=r.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,n=e+r.TEXTURE0;if(n<r.TEXTURE0||n>t){let o= ` [ gl . TEXTURE0 , gl . TEXTURE$ { t } ] ` ;throw new Error( ` textureUnit must be in $ { o } . ` )}}function Ea(r,e=2){return y.sizeFromShape(r.slice(0,r.length-e))}function Da(r){if(r.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[r.length>1?r[r.length-2]:1,r[r.length-1]]}function Df(r){let e=[1,1,1];return r.length===0||r.length===1&&r[0]===1||(e=[Ea(r),...Da(r)]),e}function _k(r,e=!1){let t=W().getNumber("WEBGL_MAX_TEXTURE_SIZE");e&&(t=t*2,r=r.map((o,s)=>s>=r.length-2?y.nearestLargerEven(r[s]):r[s]),r.length===1&&(r=[2,r[0]])),r.length!==2&&(r=y.squeezeShape(r).newShape);let n=y.sizeFromShape(r);if(r.length<=1&&n<=t)return[1,n];if(r.length===2&&r[0]<=t&&r[1]<=t)return r;if(r.length===3&&r[0]*r[1]<=t&&r[2]<=t)return[r[0]*r[1],r[2]];if(r.length===3&&r[0]<=t&&r[1]*r[2]<=t)return[r[0],r[1]*r[2]];if(r.length===4&&r[0]*r[1]
bool isnan _custom ( float val ) {
return ( val > 0.0 || val < 0.0 ) ? false : val != 0.0 ;
}
2021-03-15 13:56:36 +01:00
2021-04-28 14:58:21 +02:00
bvec4 isnan _custom ( vec4 val ) {
return bvec4 ( isnan _custom ( val . x ) ,
isnan _custom ( val . y ) , isnan _custom ( val . z ) , isnan _custom ( val . w ) ) ;
}
2021-03-15 13:56:36 +01:00
2021-04-28 14:58:21 +02:00
# define isnan ( value ) isnan _custom ( value )
` ,l="",u= `
# define round ( value ) newRound ( value )
int newRound ( float value ) {
return int ( floor ( value + 0.5 ) ) ;
2021-03-10 15:44:45 +01:00
}
2021-04-28 14:58:21 +02:00
ivec4 newRound ( vec4 value ) {
return ivec4 ( floor ( value + vec4 ( 0.5 ) ) ) ;
2021-03-12 22:43:36 +01:00
}
2021-04-28 14:58:21 +02:00
` ):(r="",e="attribute",t="varying",n="varying",o="texture2D",s="gl_FragColor",a="",i= `
# define isnan ( value ) isnan _custom ( value )
bool isnan _custom ( float val ) {
return ( val > 0. || val < 1. || val == 0. ) ? false : true ;
2021-03-10 16:03:15 +01:00
}
2021-04-28 14:58:21 +02:00
bvec4 isnan _custom ( vec4 val ) {
return bvec4 ( isnan ( val . x ) , isnan ( val . y ) , isnan ( val . z ) , isnan ( val . w ) ) ;
2021-03-10 16:03:15 +01:00
}
2021-04-28 14:58:21 +02:00
` ,l= `
uniform float INFINITY ;
2021-03-10 16:02:52 +01:00
2021-04-28 14:58:21 +02:00
bool isinf ( float val ) {
return abs ( val ) == INFINITY ;
2021-03-15 13:52:28 +01:00
}
2021-04-28 14:58:21 +02:00
bvec4 isinf ( vec4 val ) {
return equal ( abs ( val ) , vec4 ( INFINITY ) ) ;
2021-03-11 16:26:14 +01:00
}
2021-04-28 14:58:21 +02:00
` ,u= `
int round ( float value ) {
return int ( floor ( value + 0.5 ) ) ;
2021-03-11 16:26:14 +01:00
}
2021-03-10 16:28:20 +01:00
2021-04-28 14:58:21 +02:00
ivec4 round ( vec4 value ) {
return ivec4 ( floor ( value + vec4 ( 0.5 ) ) ) ;
2021-03-12 22:43:36 +01:00
}
2021-04-28 14:58:21 +02:00
` ),{version:r,attribute:e,varyingVs:t,varyingFs:n,texture2D:o,output:s,defineOutput:a,defineSpecialNaN:i,defineSpecialInf:l,defineRound:u}}function Cs(r,e,t="index"){let n=y.computeStrides(e);return n.map((o,s)=>{let a= ` int $ { r [ s ] } = $ { t } / $ { o } ` ,i=s===n.length-1? ` int $ { r [ s + 1 ] } = $ { t } - $ { r [ s ] } * $ { o } ` : ` index -= $ { r [ s ] } * $ { o } ` ;return ` $ { a } ; $ { i } ; ` }).join("")}function Ip(r){let e=y.computeStrides(r).map(t=>t.toString());return `
int getFlatIndex ( ivec3 coords ) {
return coords . x * $ { e [ 0 ] } + coords . y * $ { e [ 1 ] } + coords . z ;
}
` }var tx= `
const float FLOAT _MAX = 1.70141184 e38 ;
const float FLOAT _MIN = 1.17549435 e - 38 ;
lowp vec4 encode _float ( highp float v ) {
if ( isnan ( v ) ) {
return vec4 ( 255 , 255 , 255 , 255 ) ;
2021-03-15 13:52:28 +01:00
}
2021-04-28 14:58:21 +02:00
highp float av = abs ( v ) ;
if ( av < FLOAT _MIN ) {
return vec4 ( 0.0 , 0.0 , 0.0 , 0.0 ) ;
} else if ( v > FLOAT _MAX ) {
return vec4 ( 0.0 , 0.0 , 128.0 , 127.0 ) / 255.0 ;
} else if ( v < - FLOAT _MAX ) {
return vec4 ( 0.0 , 0.0 , 128.0 , 255.0 ) / 255.0 ;
2021-03-15 13:52:28 +01:00
}
2021-04-28 14:58:21 +02:00
highp vec4 c = vec4 ( 0 , 0 , 0 , 0 ) ;
highp float e = floor ( log2 ( av ) ) ;
highp float m = exp2 ( fract ( log2 ( av ) ) ) - 1.0 ;
c [ 2 ] = floor ( 128.0 * m ) ;
m -= c [ 2 ] / 128.0 ;
c [ 1 ] = floor ( 32768.0 * m ) ;
m -= c [ 1 ] / 32768.0 ;
c [ 0 ] = floor ( 8388608.0 * m ) ;
highp float ebias = e + 127.0 ;
c [ 3 ] = floor ( ebias / 2.0 ) ;
ebias -= c [ 3 ] * 2.0 ;
c [ 2 ] += floor ( ebias ) * 128.0 ;
c [ 3 ] += 128.0 * step ( 0.0 , - v ) ;
return c / 255.0 ;
}
` ;var Ak=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=xl.DENSE;let t=yl(e),n=Ot();this.outputShape=e,this.userCode= `
ivec3 outCoordsFromFlatIndex ( int index ) {
$ { Cs ( [ "r" , "c" , "d" ] , e ) }
return ivec3 ( r , c , d ) ;
2021-03-12 22:43:36 +01:00
}
2021-03-12 04:04:44 +01:00
2021-04-28 14:58:21 +02:00
void main ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = 4 * ( resTexRC . x * $ { t [ 1 ] } + resTexRC . y ) ;
vec4 result = vec4 ( 0. ) ;
for ( int i = 0 ; i < 4 ; i ++ ) {
int flatIndex = index + i ;
ivec3 rc = outCoordsFromFlatIndex ( flatIndex ) ;
result [ i ] = getA ( rc . x , rc . y , rc . z ) ;
2021-03-15 13:52:28 +01:00
}
2021-04-28 14:58:21 +02:00
$ { n . output } = result ;
2021-03-15 13:52:28 +01:00
}
2021-04-28 14:58:21 +02:00
` }};var Ek=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=xl.DENSE;let t=yl(e),n=Ot();this.outputShape=e,this.userCode= `
ivec3 outCoordsFromFlatIndex ( int index ) {
$ { Cs ( [ "r" , "c" , "d" ] , e ) }
return ivec3 ( r , c , d ) ;
2021-03-15 13:52:28 +01:00
}
2021-03-14 04:31:09 +01:00
2021-04-28 14:58:21 +02:00
void main ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = 4 * ( resTexRC . x * $ { t [ 1 ] } + resTexRC . y ) ;
vec4 result = vec4 ( 0. ) ;
for ( int i = 0 ; i < 4 ; i ++ ) {
int flatIndex = index + i ;
ivec3 rc = outCoordsFromFlatIndex ( flatIndex ) ;
result [ i ] = getChannel ( getA ( rc . x , rc . y , rc . z ) , vec2 ( rc . y , rc . z ) ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
$ { n . output } = result ;
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var Dk=class{constructor(e){this.variableNames=["A"],this.outTexUsage=Or.DOWNLOAD;let t=Ot();this.outputShape=e,this.userCode= `
$ { tx }
void main ( ) {
float x = getAAtOutCoords ( ) ;
$ { t . output } = encode _float ( x ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var $ k=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Or.DOWNLOAD;let t=Ot();this.outputShape=e,this.userCode= `
$ { tx }
void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
float x = getChannel ( getAAtOutCoords ( ) , vec2 ( coords . y , coords . z ) ) ;
$ { t . output } = encode _float ( x ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var Rk=class{constructor(e,t,n=!1){this.variableNames=["A"];let o=Ot(),[s,a]=t;this.outputShape=e;let i="result";n&&(i="floor(result * 255. + 0.5)"),this.userCode= `
$ { Ip ( e ) }
void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
int flatIndex = getFlatIndex ( coords ) ;
int offset = imod ( flatIndex , 4 ) ;
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
flatIndex = idiv ( flatIndex , 4 , 1. ) ;
int r = flatIndex / $ { a } ;
int c = imod ( flatIndex , $ { a } ) ;
vec2 uv = ( vec2 ( c , r ) + halfCR ) / vec2 ( $ { a } . 0 , $ { s } . 0 ) ;
vec4 values = $ { o . texture2D } ( A , uv ) ;
float result ;
if ( offset == 0 ) {
result = values [ 0 ] ;
} else if ( offset == 1 ) {
result = values [ 1 ] ;
} else if ( offset == 2 ) {
result = values [ 2 ] ;
} else {
result = values [ 3 ] ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
$ { o . output } = vec4 ( $ { i } , 0. , 0. , 0. ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var Fk=class{constructor(e,t,n=!1){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let o=Ot(),[s,a]=t;this.outputShape=e;let i="",l="result";n&&(l="floor(result * 255. + 0.5)");for(let u=0;u<=1;u++)for(let c=0;c<=1;c++){let p=u*2+c;i+= `
localCoords = coords ;
if ( localCoords [ 2 ] + $ { c } < $ { e [ 2 ] } ) {
localCoords [ 2 ] += $ { c } ;
if ( localCoords [ 1 ] + $ { u } < $ { e [ 1 ] } ) {
localCoords [ 1 ] += $ { u } ;
flatIndex = getFlatIndex ( localCoords ) ;
offset = imod ( flatIndex , 4 ) ;
flatIndex = idiv ( flatIndex , 4 , 1. ) ;
r = flatIndex / $ { a } ;
c = imod ( flatIndex , $ { a } ) ;
uv = ( vec2 ( c , r ) + halfCR ) / vec2 ( $ { a } . 0 , $ { s } . 0 ) ;
values = $ { o . texture2D } ( A , uv ) ;
if ( offset == 0 ) {
result [ $ { p } ] = values [ 0 ] ;
} else if ( offset == 1 ) {
result [ $ { p } ] = values [ 1 ] ;
} else if ( offset == 2 ) {
result [ $ { p } ] = values [ 2 ] ;
} else {
result [ $ { p } ] = values [ 3 ] ;
}
}
2021-03-15 13:56:36 +01:00
}
2021-04-28 14:58:21 +02:00
` }this.userCode= `
$ { Ip ( e ) }
void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
int flatIndex , r , c , offset ;
ivec3 localCoords ;
vec2 uv ;
vec4 values ;
$ { i }
$ { o . output } = $ { l } ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var j2={};We(j2,{bindVertexProgramAttributeStreams:()=>Wk,createBufferFromOutputTexture:()=>Hk,createFloat16MatrixTexture:()=>zk,createFloat16PackedMatrixTexture:()=>Gk,createFloat32MatrixTexture:()=>Lk,createIndexBuffer:()=>Mk,createPackedMatrixTexture:()=>Vk,createUnsignedBytesMatrixTexture:()=>Bk,createVertexBuffer:()=>Pk,createVertexShader:()=>Ok,downloadByteEncodedFloatMatrixFromOutputTexture:()=>Kk,downloadFloat32MatrixFromBuffer:()=>qk,downloadMatrixFromPackedOutputTexture:()=>Yk,downloadPackedMatrixFromBuffer:()=>Xk,getInternalFormatForFloat16MatrixTexture:()=>nx,getInternalFormatForFloat16PackedMatrixTexture:()=>ix,getInternalFormatForFloat32MatrixTexture:()=>rx,getInternalFormatForPackedMatrixTexture:()=>sx,getInternalFormatForUnsignedBytesMatrixTexture:()=>ox,uploadDenseMatrixToTexture:()=>jk,uploadPixelDataToTexture:()=>Uk});function Ok(r){let e=Ot(),t= ` $ { e . version }
precision highp float ;
$ { e . attribute } vec3 clipSpacePos ;
$ { e . attribute } vec2 uv ;
$ { e . varyingVs } vec2 resultUV ;
void main ( ) {
gl _Position = vec4 ( clipSpacePos , 1 ) ;
resultUV = uv ;
} ` ;return uk(r,t)}function Pk(r){let e=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return fk(r,e)}function Mk(r){let e=new Uint16Array([0,1,2,2,1,3]);return dk(r,e)}function $ f(r,e,t,n,o,s){gk(e,t);let a=hk(r),i=r.TEXTURE_2D;return Ne(r,()=>r.bindTexture(i,a)),Ne(r,()=>r.texParameteri(i,r.TEXTURE_WRAP_S,r.CLAMP_TO_EDGE)),Ne(r,()=>r.texParameteri(i,r.TEXTURE_WRAP_T,r.CLAMP_TO_EDGE)),Ne(r,()=>r.texParameteri(i,r.TEXTURE_MIN_FILTER,r.NEAREST)),Ne(r,()=>r.texParameteri(i,r.TEXTURE_MAG_FILTER,r.NEAREST)),Ne(r,()=>r.texImage2D(i,0,n,e,t,0,o,s,null)),Ne(r,()=>r.bindTexture(r.TEXTURE_2D,null)),a}function rx(r){return r.internalFormatFloat}function Lk(r,e,t,n){let[o,s]= $ u(e,t);return $ f(r,o,s,rx(n),n.textureFormatFloat,r.FLOAT)}function nx(r){return r.internalFormatHalfFloat}function zk(r,e,t,n){let[o,s]= $ u(e,t);return $ f(r,o,s,nx(n),n.textureFormatFloat,n.textureTypeHalfFloat)}function ox(r){return r.downloadTextureFormat}function Bk(r,e,t,n){let[o,s]= $ u(e,t);return $ f(r,o,s,ox(n),r.RGBA,r.UNSIGNED_BYTE)}function sx(r){return r.internalFormatPackedFloat}function Vk(r,e,t,n){let[o,s]=li(e,t);return $ f(r,o,s,sx(n),r.RGBA,r.FLOAT)}function ix(r){return r.internalFormatPackedHalfFloat}function Gk(r,e,t,n){let[o,s]=li(e,t);return $ f(r,o,s,ix(n),r.RGBA,n.textureTypeHalfFloat)}function Wk(r,e,t){let n=0,o=3*4,s=3*4+2*4;return Ne(r,()=>r.bindBuffer(r.ARRAY_BUFFER,t)),Xg(r,e,"clipSpacePos",t,3,s,n)&&Xg(r,e,"uv",t,2,s,o)}function jk(r,e,t,n,o,s){Ne(r,()=>r.bindTexture(r.TEXTURE_2D,e));let a,i,l;o instanceof Uint8Array?(a=new Uint8Array(t*n*4),i=r.UNSIGNED_BYTE,l=r.RGBA):(a=new Float32Array(t*n*4),i=r.FLOAT,l=s.internalFormatPackedFloat),a.set(o),Ne(r,()=>r.texImage2D(r.TEXTURE_2D,0,l,t,n,0,r.RGBA,i,a)),Ne(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function Uk(r,e,t){Ne(r,()=>r.bindTexture(r.TEXTURE_2D,e)),t.data instanceof Uint8Array?Ne(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,t.width,t.height,0,r.RGBA,r.UNSIGNED_BYTE,t.data)):Ne(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,r.RGBA,r.UNSIGNED_BYTE,t)),Ne(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function Hk(r,e,t,n){let o=r.createBuffer();Ne(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,o));let i=4*4*e*t;return Ne(r,()=>r.bufferData(r.PIXEL_PACK_BUFFER,i,r.STREAM_READ)),Ne(r,()=>r.readPixels(0,0,t,e,r.RGBA,r.FLOAT,0)),Ne(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,null)),o}function qk(r,e,t){let n=r,o=new Float32Array(t);return n.bindBuffer(n.PIXEL_PACK_BUFFER,e),n.getBufferSubData(n.PIXEL_PACK_BUFFER,0,o),n.bindBuffer(n.PIXEL_PACK_BUFFER,null),o}function Kk(r,e,t,n){let[o,s]= $ u(e,t),a=4,i=new Uint8Array(M2(e*t,a));return Ne(r,()=>r.readPixels(0,0,o,s,n.downloadTextureFormat,r.UNSIGNED_BYTE,i)),new Float32Array(i.buffer)}function Xk(r,e,t,n,o,s,a,i){let l=r,u=new Float32Array(L2(s,a));return l.bindBuffer(l.PIXEL_PACK_BUFFER,e),l.getBufferSubData(l.PIXEL_PACK_BUFFER,0,u),l.bindBuffer(l.PIXEL_PACK_BUFFER,null),u}function Yk(r,e,t){let n=new Float32Array(e*t*4);return Ne(r,()=>r.readPixels(0,0,t,e,r.RGBA,r.FLOAT,n)),n}var ax=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let t=W().getNumber("WEBGL_VERSION");e!=null?(this.gl=e,ak(t,e)):this.gl=Vn(t);let n="WEBGL_color_buffer_float",o="EXT_color_buffer_half_float";if(W().getNumber("WEBGL_VERSION")===1){let s="OES_texture_float",a="OES_texture_half_float";if(this.textureFloatExtension=vp(this.gl,s),Tn(this.gl,a))this.textureHalfFloatExtension=vp(this.gl,a);else if(W().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),Tn(this.gl,o))this.colorBufferHalfFloatExtension=vp(this.gl,o);else if(W().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",Tn(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(Tn(this.gl,o))this.
` ),a=r.map(d=>N8(d,e,n)).join( `
` ),i=e.texShape,l=Ot(),u=A8(l),c,p,m= $ 8(l);return e.isPacked?(c=S8(e.logicalShape,i),p=D8(l)):(c=T8(e.logicalShape,i),p=E8(l)),n&&(m+=R8),[m,u,p,s,c,a,t].join( `
` )}function Np(r){let e=r.shapeInfo.logicalShape;switch(e.length){case 0:return F8(r);case 1:return O8(r);case 2:return P8(r);case 3:return M8(r);case 4:return L8(r);case 5:return z8(r);case 6:return B8(r);default:throw new Error( ` $ { e . length } - D input sampling is not yet supported ` )}}function q2(r){switch(r.shapeInfo.logicalShape.length){case 0:return V8(r);case 1:return G8(r);case 2:return W8(r);case 3:return j8(r);default:return U8(r)}}function N8(r,e,t=!1){let n="";t?n+=q2(r):n+=Np(r);let o=r.shapeInfo.logicalShape,s=e.logicalShape;return o.length<=s.length&&(t?n+=H8(r,e):n+=q8(r,e)),n}function S8(r,e){switch(r.length){case 0:return K2();case 1:return K8(r,e);case 2:return Z8(r,e);case 3:return X8(r,e);default:return Y8(r,e)}}function T8(r,e){switch(r.length){case 0:return K2();case 1:return J8(r,e);case 2:return nX(r,e);case 3:return Q8(r,e);case 4:return eX(r,e);case 5:return tX(r,e);case 6:return rX(r,e);default:throw new Error( ` $ { r . length } - D output sampling is not yet supported ` )}}function A8(r){return `
float sampleTexture ( sampler2D textureSampler , vec2 uv ) {
return $ { r . texture2D } ( textureSampler , uv ) . r ;
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
` }function E8(r){return `
void setOutput ( float val ) {
$ { r . output } = vec4 ( val , 0 , 0 , 0 ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }function D8(r){return `
void setOutput ( vec4 val ) {
$ { r . output } = val ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }function $ 8(r){return ` $ { r . version }
precision highp float ;
precision highp int ;
precision highp sampler2D ;
$ { r . varyingFs } vec2 resultUV ;
$ { r . defineOutput }
const vec2 halfCR = vec2 ( 0.5 , 0.5 ) ;
2021-02-21 19:34:26 +01:00
2021-04-28 14:58:21 +02:00
struct ivec5
{
int x ;
int y ;
int z ;
int w ;
int u ;
} ;
2021-03-15 13:56:36 +01:00
2021-04-28 14:58:21 +02:00
struct ivec6
{
int x ;
int y ;
int z ;
int w ;
int u ;
int v ;
} ;
2021-03-15 13:56:36 +01:00
2021-04-28 14:58:21 +02:00
uniform float NAN ;
$ { r . defineSpecialNaN }
$ { r . defineSpecialInf }
$ { r . defineRound }
2021-03-15 13:56:36 +01:00
2021-04-28 14:58:21 +02:00
int imod ( int x , int y ) {
return x - y * ( x / y ) ;
}
2021-03-15 13:56:36 +01:00
2021-04-28 14:58:21 +02:00
int idiv ( int a , int b , float sign ) {
int res = a / b ;
int mod = imod ( a , b ) ;
if ( sign < 0. && mod != 0 ) {
res -= 1 ;
2021-03-27 20:43:48 +01:00
}
2021-04-28 14:58:21 +02:00
return res ;
}
//Based on the work of Dave Hoskins
//https://www.shadertoy.com/view/4djSRW
# define HASHSCALE1 443.8975
float random ( float seed ) {
vec2 p = resultUV * seed ;
vec3 p3 = fract ( vec3 ( p . xyx ) * HASHSCALE1 ) ;
p3 += dot ( p3 , p3 . yzx + 19.19 ) ;
return fract ( ( p3 . x + p3 . y ) * p3 . z ) ;
}
$ { oX }
$ { sX }
$ { iX }
` }var oX= `
vec2 uvFromFlat ( int texNumR , int texNumC , int index ) {
int texR = index / texNumC ;
int texC = index - texR * texNumC ;
return ( vec2 ( texC , texR ) + halfCR ) / vec2 ( texNumC , texNumR ) ;
}
vec2 packedUVfrom1D ( int texNumR , int texNumC , int index ) {
int texelIndex = index / 2 ;
int texR = texelIndex / texNumC ;
int texC = texelIndex - texR * texNumC ;
return ( vec2 ( texC , texR ) + halfCR ) / vec2 ( texNumC , texNumR ) ;
}
` ,sX= `
vec2 packedUVfrom2D ( int texelsInLogicalRow , int texNumR ,
int texNumC , int row , int col ) {
int texelIndex = ( row / 2 ) * texelsInLogicalRow + ( col / 2 ) ;
int texR = texelIndex / texNumC ;
int texC = texelIndex - texR * texNumC ;
return ( vec2 ( texC , texR ) + halfCR ) / vec2 ( texNumC , texNumR ) ;
}
` ,iX= `
vec2 packedUVfrom3D ( int texNumR , int texNumC ,
int texelsInBatch , int texelsInLogicalRow , int b ,
int row , int col ) {
int index = b * texelsInBatch + ( row / 2 ) * texelsInLogicalRow + ( col / 2 ) ;
int texR = index / texNumC ;
int texC = index - texR * texNumC ;
return ( vec2 ( texC , texR ) + halfCR ) / vec2 ( texNumC , texNumR ) ;
}
` ,R8= `
float getChannel ( vec4 frag , vec2 innerDims ) {
vec2 modCoord = mod ( innerDims , 2. ) ;
return modCoord . x == 0. ?
( modCoord . y == 0. ? frag . r : frag . g ) :
( modCoord . y == 0. ? frag . b : frag . a ) ;
}
float getChannel ( vec4 frag , int dim ) {
float modCoord = mod ( float ( dim ) , 2. ) ;
return modCoord == 0. ? frag . r : frag . g ;
}
` ;function K2(){return `
int getOutputCoords ( ) {
return 0 ;
}
` }function K8(r,e){let t=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];return t[0]===1? `
int getOutputCoords ( ) {
return 2 * int ( resultUV . x * $ { t [ 1 ] } . 0 ) ;
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
` :t[1]===1? `
int getOutputCoords ( ) {
return 2 * int ( resultUV . y * $ { t [ 0 ] } . 0 ) ;
2021-03-29 21:01:16 +02:00
}
2021-04-28 14:58:21 +02:00
` : `
int getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
return 2 * ( resTexRC . x * $ { t [ 1 ] } + resTexRC . y ) ;
}
` }function J8(r,e){return e[0]===1? `
int getOutputCoords ( ) {
return int ( resultUV . x * $ { e [ 1 ] } . 0 ) ;
2021-03-29 21:01:16 +02:00
}
2021-04-28 14:58:21 +02:00
` :e[1]===1? `
int getOutputCoords ( ) {
return int ( resultUV . y * $ { e [ 0 ] } . 0 ) ;
2021-04-15 21:01:27 +02:00
}
2021-04-28 14:58:21 +02:00
` : `
int getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { e [ 0 ] } , $ { e [ 1 ] } ) ) ;
return resTexRC . x * $ { e [ 1 ] } + resTexRC . y ;
}
` }function X8(r,e){let t=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],n=Math.ceil(r[2]/2),o=n*Math.ceil(r[1]/2);return `
ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
int b = index / $ { o } ;
index -= b * $ { o } ;
int r = 2 * ( index / $ { n } ) ;
int c = imod ( index , $ { n } ) * 2 ;
return ivec3 ( b , r , c ) ;
}
` }function Q8(r,e){let t=Cs(["r","c","d"],r);return `
ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { e [ 0 ] } , $ { e [ 1 ] } ) ) ;
int index = resTexRC . x * $ { e [ 1 ] } + resTexRC . y ;
$ { t }
return ivec3 ( r , c , d ) ;
}
` }function Y8(r,e){let t=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],n=Math.ceil(r[r.length-1]/2),o=n*Math.ceil(r[r.length-2]/2),s=o,a="",i="b, r, c";for(let l=2;l<r.length-1;l++)s*=r[r.length-l-1],a= `
int b$ { l } = index / $ { s } ;
index -= b$ { l } * $ { s } ;
` +a,i= ` b$ { l } , ` +i;return `
ivec$ { r . length } getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { a }
int b = index / $ { o } ;
index -= b * $ { o } ;
int r = 2 * ( index / $ { n } ) ;
int c = imod ( index , $ { n } ) * 2 ;
return ivec$ { r . length } ( $ { i } ) ;
}
` }function eX(r,e){let t=Cs(["r","c","d","d2"],r);return `
ivec4 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { e [ 0 ] } , $ { e [ 1 ] } ) ) ;
int index = resTexRC . x * $ { e [ 1 ] } + resTexRC . y ;
$ { t }
return ivec4 ( r , c , d , d2 ) ;
}
` }function tX(r,e){let t=Cs(["r","c","d","d2","d3"],r);return `
ivec5 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx * vec2 ( $ { e [ 0 ] } ,
$ { e [ 1 ] } ) ) ;
int index = resTexRC . x * $ { e [ 1 ] } + resTexRC . y ;
$ { t }
ivec5 outShape = ivec5 ( r , c , d , d2 , d3 ) ;
return outShape ;
}
` }function rX(r,e){let t=Cs(["r","c","d","d2","d3","d4"],r);return `
ivec6 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { e [ 0 ] } , $ { e [ 1 ] } ) ) ;
int index = resTexRC . x * $ { e [ 1 ] } + resTexRC . y ;
$ { t }
ivec6 result = ivec6 ( r , c , d , d2 , d3 , d4 ) ;
return result ;
}
` }function Z8(r,e){let t=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(y.arraysEqual(r,e))return `
ivec2 getOutputCoords ( ) {
return 2 * ivec2 ( resultUV . yx * vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
2021-04-15 21:01:27 +02:00
}
2021-04-28 14:58:21 +02:00
` ;let n=Math.ceil(r[1]/2);return `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
int r = 2 * ( index / $ { n } ) ;
int c = imod ( index , $ { n } ) * 2 ;
return ivec2 ( r , c ) ;
}
` }function nX(r,e){return y.arraysEqual(r,e)? `
ivec2 getOutputCoords ( ) {
return ivec2 ( resultUV . yx * vec2 ( $ { e [ 0 ] } , $ { e [ 1 ] } ) ) ;
2021-03-29 21:01:16 +02:00
}
2021-04-28 14:58:21 +02:00
` :r[1]===1? `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { e [ 0 ] } , $ { e [ 1 ] } ) ) ;
int index = resTexRC . x * $ { e [ 1 ] } + resTexRC . y ;
return ivec2 ( index , 0 ) ;
2021-04-15 21:01:27 +02:00
}
2021-04-28 14:58:21 +02:00
` :r[0]===1? `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { e [ 0 ] } , $ { e [ 1 ] } ) ) ;
int index = resTexRC . x * $ { e [ 1 ] } + resTexRC . y ;
return ivec2 ( 0 , index ) ;
2021-04-15 21:01:27 +02:00
}
2021-04-28 14:58:21 +02:00
` : `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { e [ 0 ] } , $ { e [ 1 ] } ) ) ;
int index = resTexRC . x * $ { e [ 1 ] } + resTexRC . y ;
int r = index / $ { r [ 1 ] } ;
int c = index - r * $ { r [ 1 ] } ;
return ivec2 ( r , c ) ;
}
` }function Ru(r){return ` offset$ { r } ` }function V8(r){let e=r.name,t="get"+e.charAt(0).toUpperCase()+e.slice(1),n=Ot();return `
vec4 $ { t } ( ) {
return $ { n . texture2D } ( $ { e } , halfCR ) ;
}
` }function F8(r){let e=r.name,t="get"+e.charAt(0).toUpperCase()+e.slice(1);if(r.shapeInfo.isUniform)return ` float $ { t } ( ) { return $ { e } ; } ` ;let[n,o]=r.shapeInfo.texShape;if(n===1&&o===1)return `
float $ { t } ( ) {
return sampleTexture ( $ { e } , halfCR ) ;
2021-04-15 21:01:27 +02:00
}
2021-04-28 14:58:21 +02:00
` ;let[s,a]=r.shapeInfo.texShape,i=Ru(e);return `
float $ { t } ( ) {
vec2 uv = uvFromFlat ( $ { s } , $ { a } , $ { i } ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` }function G8(r){let e=r.name,t="get"+e.charAt(0).toUpperCase()+e.slice(1),n=r.shapeInfo.texShape,o=[Math.ceil(n[0]/2),Math.ceil(n[1]/2)],s=Ot();return `
vec4 $ { t } ( int index ) {
vec2 uv = packedUVfrom1D (
$ { o [ 0 ] } , $ { o [ 1 ] } , index ) ;
return $ { s . texture2D } ( $ { e } , uv ) ;
}
` }function O8(r){let e=r.name,t="get"+e.charAt(0).toUpperCase()+e.slice(1);if(r.shapeInfo.isUniform)return `
float $ { t } ( int index ) {
$ { Sp ( r ) }
}
` ;let n=r.shapeInfo.texShape,o=n[0],s=n[1];if(s===1&&o===1)return `
float $ { t } ( int index ) {
return sampleTexture ( $ { e } , halfCR ) ;
}
` ;let a=Ru(e);return s===1? `
float $ { t } ( int index ) {
vec2 uv = vec2 ( 0.5 , ( float ( index + $ { a } ) + 0.5 ) / $ { o } . 0 ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` :o===1? `
float $ { t } ( int index ) {
vec2 uv = vec2 ( ( float ( index + $ { a } ) + 0.5 ) / $ { s } . 0 , 0.5 ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` : `
float $ { t } ( int index ) {
vec2 uv = uvFromFlat ( $ { o } , $ { s } , index + $ { a } ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` }function W8(r){let e=r.shapeInfo.logicalShape,t=r.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),o=r.shapeInfo.texShape,s=o[0],a=o[1],i=Ot();if(o!=null&&y.arraysEqual(e,o))return `
vec4 $ { n } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { a } . 0 , $ { s } . 0 ) ;
return $ { i . texture2D } ( $ { t } , uv ) ;
}
` ;let l=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)],u=Math.ceil(e[1]/2);return `
vec4 $ { n } ( int row , int col ) {
vec2 uv = packedUVfrom2D ( $ { u } , $ { l [ 0 ] } , $ { l [ 1 ] } , row , col ) ;
return $ { i . texture2D } ( $ { t } , uv ) ;
}
` }function P8(r){let e=r.shapeInfo.logicalShape,t=r.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),o=r.shapeInfo.texShape;if(o!=null&&y.arraysEqual(e,o)){let p=o[0],m=o[1];return `
float $ { n } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { m } . 0 , $ { p } . 0 ) ;
return sampleTexture ( $ { t } , uv ) ;
}
` }let{newShape:s,keptDims:a}=y.squeezeShape(e),i=s;if(i.length<e.length){let p=Tp(r,i),m=["row","col"];return `
$ { Np ( p ) }
float $ { n } ( int row , int col ) {
return $ { n } ( $ { Ap ( m , a ) } ) ;
}
` }if(r.shapeInfo.isUniform)return `
float $ { n } ( int row , int col ) {
int index = round ( dot ( vec2 ( row , col ) , vec2 ( $ { e [ 1 ] } , 1 ) ) ) ;
$ { Sp ( r ) }
}
` ;let l=o[0],u=o[1],c=Ru(t);return u===1? `
float $ { n } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { c } ) , vec3 ( $ { e [ 1 ] } , 1 , 1 ) ) ;
vec2 uv = vec2 ( 0.5 , ( index + 0.5 ) / $ { l } . 0 ) ;
return sampleTexture ( $ { t } , uv ) ;
}
` :l===1? `
float $ { n } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { c } ) , vec3 ( $ { e [ 1 ] } , 1 , 1 ) ) ;
vec2 uv = vec2 ( ( index + 0.5 ) / $ { u } . 0 , 0.5 ) ;
return sampleTexture ( $ { t } , uv ) ;
}
` : `
float $ { n } ( int row , int col ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { e [ 1 ] } + col + $ { c } ;
vec2 uv = uvFromFlat ( $ { l } , $ { u } , index ) ;
return sampleTexture ( $ { t } , uv ) ;
}
` }function j8(r){let e=r.shapeInfo.logicalShape,t=r.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),o=r.shapeInfo.texShape,s=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)];if(e[0]===1){let p=e.slice(1),m=[1,2],f=Tp(r,p),d=["b","row","col"];return `
$ { q2 ( f ) }
vec4 $ { n } ( int b , int row , int col ) {
return $ { n } ( $ { Ap ( d , m ) } ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }let a=s[0],i=s[1],l=Math.ceil(e[2]/2),u=l*Math.ceil(e[1]/2),c=Ot();return `
vec4 $ { n } ( int b , int row , int col ) {
vec2 uv = packedUVfrom3D (
$ { a } , $ { i } , $ { u } , $ { l } , b , row , col ) ;
return $ { c . texture2D } ( $ { t } , uv ) ;
}
` }function M8(r){let e=r.shapeInfo.logicalShape,t=r.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),o=e[1]*e[2],s=e[2],{newShape:a,keptDims:i}=y.squeezeShape(e),l=a;if(l.length<e.length){let d=Tp(r,l),h=["row","col","depth"];return `
$ { Np ( d ) }
float $ { n } ( int row , int col , int depth ) {
return $ { n } ( $ { Ap ( h , i ) } ) ;
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
` }if(r.shapeInfo.isUniform)return `
float $ { n } ( int row , int col , int depth ) {
int index = round ( dot ( vec3 ( row , col , depth ) ,
vec3 ( $ { o } , $ { s } , 1 ) ) ) ;
$ { Sp ( r ) }
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` ;let u=r.shapeInfo.texShape,c=u[0],p=u[1],m=r.shapeInfo.flatOffset;if(p===o&&m==null)return `
float $ { n } ( int row , int col , int depth ) {
float texR = float ( row ) ;
float texC = dot ( vec2 ( col , depth ) , vec2 ( $ { s } , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { p } . 0 , $ { c } . 0 ) ;
return sampleTexture ( $ { t } , uv ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` ;if(p===s&&m==null)return `
float $ { n } ( int row , int col , int depth ) {
float texR = dot ( vec2 ( row , col ) , vec2 ( $ { e [ 1 ] } , 1 ) ) ;
float texC = float ( depth ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { p } . 0 , $ { c } . 0 ) ;
return sampleTexture ( $ { t } , uv ) ;
}
` ;let f=Ru(t);return `
float $ { n } ( int row , int col , int depth ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { o } + col * $ { s } + depth + $ { f } ;
vec2 uv = uvFromFlat ( $ { c } , $ { p } , index ) ;
return sampleTexture ( $ { t } , uv ) ;
}
` }function U8(r){let e=r.shapeInfo.logicalShape,t=e.length,n=r.name,o="get"+n.charAt(0).toUpperCase()+n.slice(1),s=r.shapeInfo.texShape,a=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)],i=a[0],l=a[1],u=Math.ceil(e[t-1]/2),c=u*Math.ceil(e[t-2]/2),p="int b, int row, int col",m= ` b * $ { c } + ( row / 2 ) * $ { u } + ( col / 2 ) ` ;for(let d=2;d<t-1;d++)p= ` int b$ { d } , ` +p,c*=e[t-d-1],m= ` b$ { d } * $ { c } + ` +m;let f=Ot();return `
vec4 $ { o } ( $ { p } ) {
int index = $ { m } ;
int texR = index / $ { l } ;
int texC = index - texR * $ { l } ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { l } , $ { i } ) ;
return $ { f . texture2D } ( $ { n } , uv ) ;
}
` }function L8(r){let e=r.shapeInfo.logicalShape,t=r.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),o=e[3],s=e[2]*o,a=e[1]*s,{newShape:i,keptDims:l}=y.squeezeShape(e);if(i.length<e.length){let d=Tp(r,i),h=["row","col","depth","depth2"];return `
$ { Np ( d ) }
float $ { n } ( int row , int col , int depth , int depth2 ) {
return $ { n } ( $ { Ap ( h , l ) } ) ;
}
` }if(r.shapeInfo.isUniform)return `
float $ { n } ( int row , int col , int depth , int depth2 ) {
int index = round ( dot ( vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { a } , $ { s } , $ { o } , 1 ) ) ) ;
$ { Sp ( r ) }
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` ;let u=r.shapeInfo.flatOffset,c=r.shapeInfo.texShape,p=c[0],m=c[1];if(m===a&&u==null)return `
float $ { n } ( int row , int col , int depth , int depth2 ) {
float texR = float ( row ) ;
float texC =
dot ( vec3 ( col , depth , depth2 ) ,
vec3 ( $ { s } , $ { o } , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { m } . 0 , $ { p } . 0 ) ;
return sampleTexture ( $ { t } , uv ) ;
2021-04-15 21:01:27 +02:00
}
2021-04-28 14:58:21 +02:00
` ;if(m===o&&u==null)return `
float $ { n } ( int row , int col , int depth , int depth2 ) {
float texR = dot ( vec3 ( row , col , depth ) ,
vec3 ( $ { e [ 1 ] * e [ 2 ] } , $ { e [ 2 ] } , 1 ) ) ;
float texC = float ( depth2 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { m } . 0 , $ { p } . 0 ) ;
return sampleTexture ( $ { t } , uv ) ;
2021-04-15 21:01:27 +02:00
}
2021-04-28 14:58:21 +02:00
` ;let f=Ru(t);return `
float $ { n } ( int row , int col , int depth , int depth2 ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { a } + col * $ { s } +
depth * $ { o } + depth2 ;
vec2 uv = uvFromFlat ( $ { p } , $ { m } , index + $ { f } ) ;
return sampleTexture ( $ { t } , uv ) ;
}
` }function z8(r){let e=r.shapeInfo.logicalShape,t=r.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),o=e[4],s=e[3]*o,a=e[2]*s,i=e[1]*a,{newShape:l,keptDims:u}=y.squeezeShape(e);if(l.length<e.length){let h=Tp(r,l),g=["row","col","depth","depth2","depth3"];return `
$ { Np ( h ) }
float $ { n } ( int row , int col , int depth , int depth2 , int depth3 ) {
return $ { n } ( $ { Ap ( g , u ) } ) ;
}
` }if(r.shapeInfo.isUniform)return `
float $ { n } ( int row , int col , int depth , int depth2 , int depth3 ) {
float index = dot (
vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { i } , $ { a } , $ { s } , $ { o } ) ) +
depth3 ;
$ { Sp ( r ) }
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
` ;let c=r.shapeInfo.flatOffset,p=r.shapeInfo.texShape,m=p[0],f=p[1];if(f===i&&c==null)return `
float $ { n } ( int row , int col , int depth , int depth2 , int depth3 ) {
int texR = row ;
float texC = dot ( vec4 ( col , depth , depth2 , depth3 ) ,
vec4 ( $ { a } , $ { s } , $ { o } , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { f } . 0 , $ { m } . 0 ) ;
return sampleTexture ( $ { t } , uv ) ;
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
` ;if(f===o&&c==null)return `
float $ { n } ( int row , int col , int depth , int depth2 , int depth3 ) {
float texR = dot (
vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { e [ 1 ] * e [ 2 ] * e [ 3 ] } ,
$ { e [ 2 ] * e [ 3 ] } , $ { e [ 3 ] } , 1 ) ) ;
int texC = depth3 ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { f } . 0 , $ { m } . 0 ) ;
return sampleTexture ( $ { t } , uv ) ;
2021-04-15 21:01:27 +02:00
}
2021-04-28 14:58:21 +02:00
` ;let d=Ru(t);return `
float $ { n } ( int row , int col , int depth , int depth2 , int depth3 ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { i } + col * $ { a } + depth * $ { s } +
depth2 * $ { o } + depth3 + $ { d } ;
vec2 uv = uvFromFlat ( $ { m } , $ { f } , index ) ;
return sampleTexture ( $ { t } , uv ) ;
}
` }function B8(r){let e=r.shapeInfo.logicalShape,t=r.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),{newShape:o,keptDims:s}=y.squeezeShape(e);if(o.length<e.length){let g=Tp(r,o),x=["row","col","depth","depth2","depth3","depth4"];return `
$ { Np ( g ) }
float $ { n } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
return $ { n } ( $ { Ap ( x , s ) } ) ;
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
` }let a=e[5],i=e[4]*a,l=e[3]*i,u=e[2]*l,c=e[1]*u;if(r.shapeInfo.isUniform)return `
float $ { n } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
int index = round ( dot (
vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { c } , $ { u } , $ { l } , $ { i } ) ) +
dot (
vec2 ( depth3 , depth4 ) ,
vec2 ( $ { a } , 1 ) ) ) ;
$ { Sp ( r ) }
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
` ;let p=r.shapeInfo.flatOffset,m=r.shapeInfo.texShape,f=m[0],d=m[1];if(d===c&&p==null)return `
float $ { n } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
int texR = row ;
float texC = dot ( vec4 ( col , depth , depth2 , depth3 ) ,
vec4 ( $ { u } , $ { l } , $ { i } , $ { a } ) ) +
float ( depth4 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { d } . 0 , $ { f } . 0 ) ;
return sampleTexture ( $ { t } , uv ) ;
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
` ;if(d===a&&p==null)return `
float $ { n } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
float texR = dot ( vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { e [ 1 ] * e [ 2 ] * e [ 3 ] * e [ 4 ] } ,
$ { e [ 2 ] * e [ 3 ] * e [ 4 ] } ,
$ { e [ 3 ] * e [ 4 ] } ,
$ { e [ 4 ] } ) ) + float ( depth3 ) ;
int texC = depth4 ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { d } . 0 , $ { f } . 0 ) ;
return sampleTexture ( $ { t } , uv ) ;
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
` ;let h=Ru(t);return `
float $ { n } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { c } + col * $ { u } + depth * $ { l } +
depth2 * $ { i } + depth3 * $ { a } + depth4 + $ { h } ;
vec2 uv = uvFromFlat ( $ { f } , $ { d } , index ) ;
return sampleTexture ( $ { t } , uv ) ;
}
` }function Sp(r){let e=r.name,t=y.sizeFromShape(r.shapeInfo.logicalShape);return t<2? ` return $ { e } ; ` : `
for ( int i = 0 ; i < $ { t } ; i ++ ) {
if ( i == index ) {
return $ { e } [ i ] ;
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
}
` }function H8(r,e){let t=r.name,n=t.charAt(0).toUpperCase()+t.slice(1),o="get"+n+"AtOutCoords",s=r.shapeInfo.logicalShape.length,a=e.logicalShape.length,i=U2(r.shapeInfo.logicalShape,e.logicalShape),l=Ve(a),u=a-s,c,p=["x","y","z","w","u","v"];s===0?c="":a<2&&i.length>=1?c="coords = 0;":c=i.map(b=> ` coords . $ { p [ b + u ] } = 0 ; ` ).join( `
` );let m="";a<2&&s>0?m="coords":m=r.shapeInfo.logicalShape.map((b,w)=> ` coords . $ { p [ w + u ] } ` ).join(", ");let f="return outputValue;",h=y.sizeFromShape(r.shapeInfo.logicalShape)===1,x=y.sizeFromShape(e.logicalShape)===1;if(s===1&&!h&&!x)f= `
return vec4 ( outputValue . xy , outputValue . xy ) ;
` ;else if(h&&!x)a===1?f= `
return vec4 ( outputValue . x , outputValue . x , 0. , 0. ) ;
` :f= `
return vec4 ( outputValue . x ) ;
` ;else if(i.length){let b=s-2,w=s-1;i.indexOf(b)>-1&&i.indexOf(w)>-1?f="return vec4(outputValue.x);":i.indexOf(b)>-1?f="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":i.indexOf(w)>-1&&(f="return vec4(outputValue.xx, outputValue.zz);")}return `
vec4 $ { o } ( ) {
$ { l } coords = getOutputCoords ( ) ;
$ { c }
vec4 outputValue = get$ { n } ( $ { m } ) ;
$ { f }
}
` }function q8(r,e){let t=r.name,n=t.charAt(0).toUpperCase()+t.slice(1),o="get"+n+"AtOutCoords",s=e.texShape,a=r.shapeInfo.texShape,i=r.shapeInfo.logicalShape.length,l=e.logicalShape.length;if(!r.shapeInfo.isUniform&&i===l&&r.shapeInfo.flatOffset==null&&y.arraysEqual(a,s))return `
float $ { o } ( ) {
return sampleTexture ( $ { t } , resultUV ) ;
}
` ;let u=Ve(l),c=U2(r.shapeInfo.logicalShape,e.logicalShape),p=l-i,m,f=["x","y","z","w","u","v"];i===0?m="":l<2&&c.length>=1?m="coords = 0;":m=c.map(h=> ` coords . $ { f [ h + p ] } = 0 ; ` ).join( `
` );let d="";return l<2&&i>0?d="coords":d=r.shapeInfo.logicalShape.map((h,g)=> ` coords . $ { f [ g + p ] } ` ).join(", "), `
float $ { o } ( ) {
$ { u } coords = getOutputCoords ( ) ;
$ { m }
return get$ { n } ( $ { d } ) ;
}
` }function Ve(r){if(r<=1)return"int";if(r===2)return"ivec2";if(r===3)return"ivec3";if(r===4)return"ivec4";if(r===5)return"ivec5";if(r===6)return"ivec6";throw Error( ` GPU for rank $ { r } is not yet supported ` )}function Tp(r,e){let t=JSON.parse(JSON.stringify(r));return t.shapeInfo.logicalShape=e,t}function Ap(r,e){return e.map(t=>r[t]).join(", ")}function X2(r,e,t,n){let o=e.userCode,s=t.map((f,d)=>{let h={logicalShape:f.shape,texShape:f.isUniform?null:f.texData.texShape,isUniform:f.isUniform,isPacked:f.isUniform?!1:f.texData.isPacked,flatOffset:null};return f.texData!=null&&f.texData.slice!=null&&f.texData.slice.flatOffset>0&&(h.flatOffset=f.texData.slice.flatOffset),{name:e.variableNames[d],shapeInfo:h}}),a=s.map(f=>f.shapeInfo),i={logicalShape:n.shape,texShape:n.texData.texShape,isUniform:!1,isPacked:n.texData.isPacked,flatOffset:null},l=H2(s,i,o,e.packedInputs),u=r.createProgram(l),c=null,p=r.getUniformLocation(u,"NAN",!1);W().getNumber("WEBGL_VERSION")===1&&(c=r.getUniformLocation(u,"INFINITY",!1));let m={};for(let f=0;f<e.variableNames.length;f++){let d=e.variableNames[f],h=!1;m[d]=r.getUniformLocation(u,d,h),m[ ` offset$ { d } ` ]=r.getUniformLocation(u, ` offset$ { d } ` ,h)}return{program:e,source:l,webGLProgram:u,uniformLocations:m,inShapeInfos:a,outShapeInfo:i,infLoc:c,nanLoc:p}}function Y2(r,e){if(r.length!==e.length)throw Error( ` Binary was compiled with $ { r . length } inputs , but was executed with $ { e . length } inputs ` );r.forEach((t,n)=>{let o=t.logicalShape,s=e[n],a=s.shape;if(!y.arraysEqual(o,a))throw Error( ` Binary was compiled with different shapes than the current args . Shapes $ { o } and $ { a } must match ` );if(t.isUniform&&s.isUniform)return;let i=t.texShape,l=s.isUniform?null:s.texData.texShape;if(!y.arraysEqual(i,l))throw Error( ` Binary was compiled with different texture shapes than the current args . Shape $ { i } and $ { l } must match ` )})}function Z2(r,e,t,n,o){Y2(e.inShapeInfos,t),Y2([e.outShapeInfo],[n]);let s=n.texData.texture,a=n.texData.texShape;n.texData.isPacked?r.setOutputPackedMatrixTexture(s,a[0],a[1]):r.setOutputMatrixTexture(s,a[0],a[1]),r.setProgram(e.webGLProgram),W().getNumber("WEBGL_VERSION")===1&&e.infLoc!==null&&r.gl.uniform1f(e.infLoc,Infinity),e.nanLoc!==null&&r.gl.uniform1f(e.nanLoc,NaN),t.forEach((i,l)=>{let u=e.program.variableNames[l],c=e.uniformLocations[u],p=e.uniformLocations[ ` offset$ { u } ` ];if(c!=null){if(i.isUniform){if(y.sizeFromShape(i.shape)<2)r.gl.uniform1f(c,i.uniformValues[0]);else{let m=i.uniformValues;m instanceof Float32Array||(m=new Float32Array(m)),r.gl.uniform1fv(c,m)}return}i.texData.slice!=null&&p!=null&&r.gl.uniform1i(p,i.texData.slice.flatOffset),r.setInputMatrixTexture(i.texData.texture,c,l)}}),o!=null&&o(r,e.webGLProgram),r.executeProgram()}function J2(r,e,t){let n="";e.concat(t).forEach(a=>{let i=a.texData!=null&&a.texData.slice!=null&&a.texData.slice.flatOffset>0,l=a.isUniform?"uniform":a.texData.texShape;n+= ` $ { a . shape } _$ { l } _$ { i } ` });let o=r.userCode,s=r.constructor.name;return s+="_"+n+"_"+o,s}var{addImpl:Q2,bincountImpl:lx,bincountReduceImpl:eD,ceilImpl:tD,concatImpl:rD,expImpl:nD,expm1Impl:oD,floorImpl:sD,gatherV2Impl:iD,greaterImpl:aD,lessImpl:lD,linSpaceImpl:uD,logImpl:cD,maxImpl:pD,maximumImpl:mD,minimumImpl:fD,multiplyImpl:dD,negImpl:hD,prodImpl:gD,rangeImpl:xD,rsqrtImpl:yD,simpleAbsImpl:ux,sliceImpl:bD,sparseReshapeImpl:wD,stridedSliceImpl:_D,subImpl:kD,tileImpl:vD,topKImpl:CD,transposeImpl:Fu,uniqueImpl:ID}=Wg;function Zk(r,e){return["x","y","z","w","u","v"].slice(0,e).map(t=> ` $ { r } . $ { t } ` )}function Wt(r,e){return e===1?[r]:Zk(r,e)}function ND(r,e){if(r===1)return"rc";let t="";for(let n=0;n<r;n++)t+=e[n],n<r-1&&(t+=",");return t}var Jk=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=e;let t=e.length;if(t===0)this.userCode= `
void main ( ) {
setOutput ( vec4 ( getA ( ) , 0. , 0. , 0. ) ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` ;else{let n=Wt("rc",t),o=Ve(t),s=aX(t,e,n),a=lX(t,e[e.length-1],e[e.length-2],n),i=uX(e,n);this.userCode= `
void main ( ) {
$ { o } rc = getOutputCoords ( ) ;
if ( $ { s } ) {
setOutput ( vec4 ( 0 ) ) ;
} else {
$ { a }
setOutput ( vec4 ( $ { i } ) ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-15 21:01:27 +02:00
}
2021-04-28 14:58:21 +02:00
` }}};function cX(r,e){let t=[];for(let n=0;n<=1;n++)for(let o=0;o<=1;o++){let s= ` $ { n === 0 ? "r" : "rp1" } , $ { o === 0 ? "c" : "cp1" } ` ;for(let a=2;a<r;a++)s= ` $ { e [ e . length - 1 - a ] } , ` +s;t.push(s)}return t}function aX(r,e,t){if(r===1)return ` rc > $ { e [ 0 ] } ` ;let n="";for(let o=r-2;o<r;o++)n+= ` $ { t [ o ] } >= $ { e [ o ] } ` ,o<r-1&&(n+="||");return n}function lX(r,e,t,n){if(r===1)return"";let o=n.slice(-2);return `
int r = $ { o [ 0 ] } ;
int c = $ { o [ 1 ] } ;
int rp1 = r + 1 ;
int cp1 = c + 1 ;
bool cEdge = cp1 >= $ { e } ;
bool rEdge = rp1 >= $ { t } ;
` }function uX(r,e){let t=r.length,n=cX(t,e);return t===1? ` getA ( rc ) ,
rc + 1 >= $ { r [ 0 ] } ? 0. : getA ( rc + 1 ) ,
0 , 0 ` : ` getA ( $ { n [ 0 ] } ) ,
cEdge ? 0. : getA ( $ { n [ 1 ] } ) ,
rEdge ? 0. : getA ( $ { n [ 2 ] } ) ,
rEdge || cEdge ? 0. : getA ( $ { n [ 3 ] } ) ` }var Rf=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let n="";for(let o=0;o<4;o++){let s="thisRC = rc;";o%2==1&&(s+="thisRC.z += 1;"),o>1&&(s+="thisRC.y += 1;"),n+= `
$ { s }
$ { o > 0 ? "if(thisRC.y < rows && thisRC.z < cols){" : "" }
int flatIndex = getFlatIndex ( thisRC ) ;
ivec3 inputRC = inputCoordsFromReshapedOutCoords ( flatIndex ) ;
vec2 inputRCInnerDims = vec2 ( float ( inputRC . y ) , float ( inputRC . z ) ) ;
result [ $ { o } ] =
getChannel ( getA ( inputRC . x , inputRC . y , inputRC . z ) , inputRCInnerDims ) ;
$ { o > 0 ? "}" : "" }
` }this.userCode= `
$ { pX ( t ) }
$ { Ip ( e ) }
void main ( ) {
ivec3 rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
ivec3 thisRC ;
int rows = $ { e [ 1 ] } ;
int cols = $ { e [ 2 ] } ;
$ { n }
setOutput ( result ) ;
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
` }};function pX(r){return `
ivec3 inputCoordsFromReshapedOutCoords ( int index ) {
$ { Cs ( [ "r" , "c" , "d" ] , r ) }
return ivec3 ( r , c , d ) ;
}
` }var Qk=class{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(e,t,n){let o=TD(t,n),s=AD(e,o,n);s in this.freeTextures||(this.freeTextures[s]=[]),s in this.usedTextures||(this.usedTextures[s]=[]);let a=SD(e,o,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[s].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=a,this.log();let l=this.freeTextures[s].shift();return this.usedTextures[s].push(l),l}let i;return o===Cr.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):o===Cr.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):o===Cr.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):o===Cr.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):o===Cr.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[s].push(i),this.numUsedTextures++,this._numBytesAllocated+=a,this.log(),i}releaseTexture(e,t,n,o){if(this.freeTextures==null)return;let s=TD(n,o),a=AD(t,s,o);a in this.freeTextures||(this.freeTextures[a]=[]);let i=SD(t,s,this.gpgpu.gl,this.gpgpu.textureConfig,o),l=W().get("WEBGL_DELETE_TEXTURE_THRESHOLD");l!==-1&&this._numBytesAllocated>l?(this.gpgpu.deleteMatrixTexture(e),this._numBytesAllocated-=i):(this.freeTextures[a].push(e),this.numFreeTextures++,this._numBytesFree+=i),this.numUsedTextures--;let u=this.usedTextures[a],c=u.indexOf(e);if(c<0)throw new Error("Cannot release a texture that was never provided by this texture manager");u.splice(c,1),this.log()}log(){if(!this.logEnabled)return;let e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used", ` $ { this . numFreeTextures } / $ { this . numUsedTextures } ` , ` ( $ { e } ) ` );let t=this._numBytesFree/this._numBytesAllocated;console.log( ` Bytes allocated : $ { this . _numBytesAllocated } ` ),console.log( ` Bytes unused : $ { this . _numBytesFree } ( $ { Math . round ( 100 * t ) } % ) ` )}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let e in this.freeTextures)this.freeTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t)});for(let e in this.usedTextures)this.usedTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function mX(r,e){let t=r;if(e===t.R32F)return 4;if(e===t.R16F)return 2;if(e===t.RGBA32F)return 16;if(e===r.RGBA)return 16;if(e===t.RGBA16F)return 8;throw new Error( ` Unknown internal format $ { e } ` )}function SD(r,e,t,n,o){let s=fX(e,n),a;if(o){let[l,u]=li(r[0],r[1]);a=l*u}else{let[l,u]= $ u(r[0],r[1]);a=l*u}let i=mX(t,s);return a*i}function fX(r,e){switch(r){case Cr.PACKED_2X2_FLOAT32:return sx(e);case Cr.PACKED_2X2_FLOAT16:return ix(e);case Cr.UNPACKED_FLOAT32:return rx(e);case Cr.UNPACKED_FLOAT16:return nx(e);case Cr.PACKED_4X1_UNSIGNED_BYTE:return ox(e);default:throw new Error( ` Unknown physical texture type $ { r } ` )}}function dX(r){return W().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?r?Cr.PACKED_2X2_FLOAT32:Cr.UNPACKED_FLOAT32:r?Cr.PACKED_2X2_FLOAT16:Cr.UNPACKED_FLOAT16}function TD(r,e){if(r===Or.UPLOAD)return Cr.PACKED_2X2_FLOAT32;if(r===Or.RENDER||r==null)return dX(e);if(r===Or.DOWNLOAD||r===Or.PIXELS)return Cr.PACKED_4X1_UNSIGNED_BYTE;throw new Error( ` Unknown logical texture type $ { r } ` )}function AD(r,e,t){return ` $ { r [ 0 ] } _$ { r [ 1 ] } _$ { e } _$ { t } ` }var gn=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.userCode= `
float unaryOperation ( float x ) {
$ { t }
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
void main ( ) {
float x = getAAtOutCoords ( ) ;
float y = unaryOperation ( x ) ;
setOutput ( y ) ;
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
` }},br="if (isnan(x)) return x;",ED="return x;",ev="return abs(x);";var DD="return (x >= 0.0) ? x : (exp(x) - 1.0);", $ D=br+ `
return ( x < 0.0 ) ? 0.0 : x ;
` ,RD=br+ `
return ( x < 0.0 ) ? 0.0 : min ( 6.0 , x ) ;
` ,Ff="return x;",FD="return 1.0 / (1.0 + exp(-1.0 * x));";var OD="return x;",PD= `
vec4 result ;
result . r = ( x . r >= 0.0 ) ? x . r : ( exp ( x . r ) - 1.0 ) ;
result . g = ( x . g >= 0.0 ) ? x . g : ( exp ( x . g ) - 1.0 ) ;
result . b = ( x . b >= 0.0 ) ? x . b : ( exp ( x . b ) - 1.0 ) ;
result . a = ( x . a >= 0.0 ) ? x . a : ( exp ( x . a ) - 1.0 ) ;
return result ;
` ,MD= `
vec4 result = x * vec4 ( greaterThanEqual ( x , vec4 ( 0.0 ) ) ) ;
bvec4 isNaN = isnan ( x ) ;
result . r = isNaN . r ? x . r : result . r ;
result . g = isNaN . g ? x . g : result . g ;
result . b = isNaN . b ? x . b : result . b ;
result . a = isNaN . a ? x . a : result . a ;
return result ;
` ,LD= `
vec4 result = min ( x , vec4 ( 6. ) ) * vec4 ( greaterThanEqual ( x , vec4 ( 0.0 ) ) ) ;
bvec4 isNaN = isnan ( x ) ;
result . r = isNaN . r ? x . r : result . r ;
result . g = isNaN . g ? x . g : result . g ;
result . b = isNaN . b ? x . b : result . b ;
result . a = isNaN . a ? x . a : result . a ;
return result ;
` ,zD="return 1.0 / (1.0 + exp(-1.0 * x));",Is=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode= `
vec4 unaryOperation ( vec4 x ) {
$ { t }
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
void main ( ) {
vec4 x = getAAtOutCoords ( ) ;
vec4 y = unaryOperation ( x ) ;
setOutput ( y ) ;
2021-04-15 21:01:27 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var tv=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e;let t=e.length,n=Wt("rc",t),o=Ve(t),s=ND(t,n),a=n.slice(-2),i=t<=1?"rc": ` vec2 ( $ { a . join ( "," ) } ) ` ;this.userCode= `
void main ( ) {
$ { o } rc = getOutputCoords ( ) ;
vec4 packedInput = getA ( $ { s } ) ;
setOutput ( getChannel ( packedInput , $ { i } ) ) ;
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var hX=Rr.whereImpl,gX=1e-7,xX=1e-4,cx={};function yX(r){return r in cx||(cx[r]={}),cx[r]}var bX=128,wX=600;function _X(){return W().global.screen==null?1024:W().global.screen.height*W().global.screen.width*window.devicePixelRatio*wX/1024/1024}var Ou=class extends Ps{constructor(e){super();if(this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!W().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(e==null){let t=Vn(W().getNumber("WEBGL_VERSION"));this.binaryCache=yX(W().getNumber("WEBGL_VERSION")),this.gpgpu=new ax(t),this.canvas=t.canvas,this.gpgpuCreatedLocally=!0}else this.gpgpu=e,this.binaryCache={},this.gpgpuCreatedLocally=!1,this.canvas=e.gl.canvas;this.textureManager=new Qk(this.gpgpu),this.numMBBeforeWarning=_X(),this.texData=new qa(this,hs())}nextDataId(){return Ou.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}write(e,t,n){if((W().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||W().getBool("DEBUG"))&&this.checkNumericalProblems(e),n==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let o={id:this.nextDataId()};return this.texData.set(o,{shape:t,dtype:n,values:e,usage:Or.UPLOAD,refCount:1}),o}refCount(e){return this.texData.has(e)?this.texData.get(e).refCount:0}incRef(e){let t=this.texData.get(e);t.refCount++}decRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.refCount--}}move(e,t,n,o,s){if(W().getBool("DEBUG")&&this.checkNumericalProblems(t),o==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:o,values:t,usage:Or.UPLOAD,refCount:s})}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}readSync(e){let t=this.texData.get(e),{values:n,dtype:o,complexTensorInfos:s,slice:a,shape:i,isPacked:l}=t;if(a!=null){let m;l?m=new Is(i,Ff):m=new gn(i,Ff);let f=this.runWebGLProgram(m,[{dataId:e,shape:i,dtype:o}],o),d=this.readSync(f.dataId);return this.disposeIntermediateTensorInfo(f),d}if(n!=null)return this.convertAndCacheOnCPU(e);if(o==="string")return n;let u=this.activeTimers!=null,c;u&&(c=y.now());let p;if(o==="complex64"){let m=this.readSync(s.real.dataId),f=this.readSync(s.imag.dataId);p=C.mergeRealAndImagArrays(m,f)}else p=this.getValuesFromTexture(e);return u&&(this.downloadWaitMs+=y.now()-c),this.convertAndCacheOnCPU(e,p)}async read(e){if(this.pendingRead.has(e)){let d=this.pendingRead.get(e);return new Promise(h=>d.push(h))}let t=this.texData.get(e),{values:n,shape:o,slice:s,dtype:a,complexTensorInfos:i,isPacked:l}=t;if(s!=null){let d;l?d=new Is(o,Ff):d=new gn(o,Ff);let h=this.runWebGLProgram(d,[{dataId:e,shape:o,dtype:a}],a),g=this.read(h.dataId);return this.disposeIntermediateTensorInfo(h),g}if(n!=null)return this.convertAndCacheOnCPU(e);if(!W().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&W().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let u=null,c;if(a!=="complex64"&&W().get("WEBGL_BUFFER_SUPPORTED")){c=this.decode(e);let d=this.texData.get(c.dataId);u=this.gpgpu.createBufferFromTexture(d.texture,...yl(o))}this.pendingRead.set(e,[]),a!=="complex64"&&await this.gpgpu.createAndWaitForFence();let p;if(a==="complex64"){let d=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]),h=d[0],g=d[1];p=C.mergeRealAndImagArrays(h,g)}else if(u==null)p=this.getValuesFromTexture(e);else{let d=y.sizeFromShape(o);p=this.gpgpu.downloadFloat32MatrixFromBuffer(u,d)}c!=null&&this.disposeIntermediateTensorInfo(c);let m=this.convertAndCacheOnCPU(e,p),f=this.pendingRead.get(e);return this.pendingRead.delete(e),f.forEach(d=>d(m)),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)&&hs().removeDataId(e,this),this.pendingDeletes--),m}bufferSync(e){let t=this.readSync(e.dataId),n=t;if(e.d
if ( isnan ( a ) ) return a ;
if ( isnan ( b ) ) return b ;
` ;var co=class{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=C.assertAndGetBroadcastShape(t,n),this.userCode= `
float binaryOperation ( float a , float b ) {
$ { e }
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
void main ( ) {
float a = getAAtOutCoords ( ) ;
float b = getBAtOutCoords ( ) ;
setOutput ( binaryOperation ( a , b ) ) ;
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var wl= `
result . r = isNaN . r > 0. ? NAN : result . r ;
result . g = isNaN . g > 0. ? NAN : result . g ;
result . b = isNaN . b > 0. ? NAN : result . b ;
result . a = isNaN . a > 0. ? NAN : result . a ;
` ;var Ns=class{constructor(e,t,n,o=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=C.assertAndGetBroadcastShape(t,n);let s=this.outputShape.length,a="";if(o)if(s===0||y.sizeFromShape(this.outputShape)===1)a= `
result . y = 0. ;
result . z = 0. ;
result . w = 0. ;
` ;else if(a= `
$ { Ve ( s ) } coords = getOutputCoords ( ) ;
` ,s===1)a+= `
result . y = ( coords + 1 ) >= $ { this . outputShape [ 0 ] } ? 0. : result . y ;
result . z = 0. ;
result . w = 0. ;
` ;else{let l=Wt("coords",s);a+= `
bool nextRowOutOfBounds =
( $ { l [ s - 2 ] } + 1 ) >= $ { this . outputShape [ s - 2 ] } ;
bool nextColOutOfBounds =
( $ { l [ s - 1 ] } + 1 ) >= $ { this . outputShape [ s - 1 ] } ;
result . y = nextColOutOfBounds ? 0. : result . y ;
result . z = nextRowOutOfBounds ? 0. : result . z ;
result . w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result . w ;
` }this.userCode= `
vec4 binaryOperation ( vec4 a , vec4 b ) {
$ { e }
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
void main ( ) {
vec4 a = getAAtOutCoords ( ) ;
vec4 b = getBAtOutCoords ( ) ;
vec4 result = binaryOperation ( a , b ) ;
$ { a }
setOutput ( result ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};function jt(r){let{inputs:e,backend:t}=r,{x:n}=e;return t.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var VD={kernelName:Xn,backendName:"webgl",kernelFunc:jt};function xn(r){let{inputs:e,backend:t}=r,{real:n,imag:o}=e,s=t.makeTensorInfo(n.shape,"complex64"),a=t.texData.get(s.dataId),i=jt({inputs:{x:n},backend:t}),l=jt({inputs:{x:o},backend:t});return a.complexTensorInfos={real:i,imag:l},s}var GD={kernelName:bc,backendName:"webgl",kernelFunc:xn};var nv="return (a < 0.) ? b * a : a;",ov= `
vec4 aLessThanZero = vec4 ( lessThan ( a , vec4 ( 0. ) ) ) ;
return ( aLessThanZero * ( b * a ) ) + ( ( vec4 ( 1.0 ) - aLessThanZero ) * a ) ;
` ;function vX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{alpha:s}=n,a=t.makeTensorInfo([],"float32",y.createScalarValue(s,"float32")),i=W().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ns(ov,o.shape,a.shape):new co(nv,o.shape,a.shape),l=t.runWebGLProgram(i,[o,a],o.dtype);return t.disposeIntermediateTensorInfo(a),l}var WD={kernelName:Mo,backendName:"webgl",kernelFunc:vX};var sv="return (a < 0.) ? b * a : a;",iv= `
vec4 aLessThanZero = vec4 ( lessThan ( a , vec4 ( 0. ) ) ) ;
return ( aLessThanZero * ( b * a ) ) + ( ( vec4 ( 1.0 ) - aLessThanZero ) * a ) ;
` ;function CX(r){let{inputs:e,backend:t}=r,{x:n,alpha:o}=e,s=W().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ns(iv,n.shape,o.shape):new co(sv,n.shape,o.shape);return t.runWebGLProgram(s,[n,o],n.dtype)}var jD={kernelName:Yo,backendName:"webgl",kernelFunc:CX};var mx="if (isnan(x)) return x;",UD= `
if ( isnan ( a ) ) return a ;
if ( isnan ( b ) ) return b ;
` ,HD= `
result . r = isNaN . r > 0. ? NAN : result . r ;
result . g = isNaN . g > 0. ? NAN : result . g ;
result . b = isNaN . b > 0. ? NAN : result . b ;
result . a = isNaN . a > 0. ? NAN : result . a ;
` ;function _e({opSnippet:r,packedOpSnippet:e,cpuKernelImpl:t,dtype:n}){return({inputs:o,backend:s})=>{let{x:a}=o,i=s,l=n||a.dtype;if(i.shouldExecuteOnCPU([a])&&t!=null){let p=i.texData.get(a.dataId),m=t(p.values,l);return i.makeTensorInfo(a.shape,l,m)}let u=W().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&e!=null,c;return u?c=new Is(a.shape,e):c=new gn(a.shape,r),i.runWebGLProgram(c,[a],l)}}function st({opSnippet:r,packedOpSnippet:e,checkOutOfBounds:t=!1,supportsComplex:n=!1,cpuKernelImpl:o,dtype:s}){return({inputs:a,backend:i})=>{let{a:l,b:u}=a,c=i;if(n&&l.dtype==="complex64"){let d=c.texData.get(l.dataId),h=c.texData.get(u.dataId),[g,x]=[[d.complexTensorInfos.real,h.complexTensorInfos.real],[d.complexTensorInfos.imag,h.complexTensorInfos.imag]].map(w=>{let[_,I]=w,E={dataId:_.dataId,dtype:_.dtype,shape:l.shape}, $ ={dataId:I.dataId,dtype:I.dtype,shape:u.shape},D=new co(r,l.shape,u.shape);return c.runWebGLProgram(D,[E, $ ],ar(_.dtype,I.dtype))}),b=xn({inputs:{real:g,imag:x},backend:c});return c.disposeIntermediateTensorInfo(g),c.disposeIntermediateTensorInfo(x),b}let p=s||ar(l.dtype,u.dtype);if(c.shouldExecuteOnCPU([l,u])&&o!=null){let d=c.texData.get(l.dataId),h=c.texData.get(u.dataId),[g,x]=o(l.shape,u.shape,d.values,h.values,p),b=c.makeTensorInfo(x,p),w=c.texData.get(b.dataId);return w.values=g,b}let m=W().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&e!=null,f;return m?f=new Ns(e,l.shape,u.shape,t):f=new co(r,l.shape,u.shape),c.runWebGLProgram(f,[l,u],p)}}function _l(r,e=!1){if(r==="linear")return e?OD:ED;if(r==="relu")return e?MD: $ D;if(r==="elu")return e?PD:DD;if(r==="relu6")return e?LD:RD;if(r==="prelu")return e?iv:sv;if(r==="leakyrelu")return e?ov:nv;if(r==="sigmoid")return e?zD:FD;throw new Error( ` Activation $ { r } has not been implemented for the WebGL backend . ` )}var Of=class{constructor(e,t,n,o=!1,s=!1,a=!1,i=null,l=!1,u=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n;let c=o?e[1]:e[2],p=Math.ceil(c/2),m=o?"i * 2, rc.y":"rc.y, i * 2",f=s?"rc.z, i * 2":"i * 2, rc.z",d=o?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],h=s?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],g="",x="";i&&(l?g= ` vec4 activation ( vec4 a ) {
vec4 b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { i }
} ` :u?g= ` vec4 activation ( vec4 a ) {
vec4 b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { i }
} ` :g= ` vec4 activation ( vec4 x ) {
$ { i }
} ` ,x="result = activation(result);");let b=a?"result += getBiasAtOutCoords();":"";a&&this.variableNames.push("bias"),l&&this.variableNames.push("preluActivationWeights"),u&&this.variableNames.push("leakyreluAlpha");let w="rc.x",_="rc.x";e[0]<t[0]?w= ` int ( min ( float ( rc . x ) , $ { e [ 0 ] - 1 } . ) ) ` :t[0]<e[0]&&(_= ` int ( min ( float ( rc . x ) , $ { t [ 0 ] - 1 } . ) ) ` ),this.userCode= `
$ { g }
const float sharedDimension = $ { p } . 0 ;
vec4 dot2x2ARowBCol ( ivec3 rc ) {
vec4 result = vec4 ( 0 ) ;
for ( int i = 0 ; i < $ { p } ; i ++ ) {
int batchA = $ { w } ;
int batchB = $ { _ } ;
vec4 a = getMatrixA ( batchA , $ { m } ) ;
vec4 b = getMatrixB ( batchB , $ { f } ) ;
// These swizzled products need to be separately added.
// See: https://github.com/tensorflow/tfjs/issues/1735
result += ( $ { d [ 0 ] } * $ { h [ 0 ] } ) ;
result += ( $ { d [ 1 ] } * $ { h [ 1 ] } ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
return result ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
void main ( ) {
ivec3 rc = getOutputCoords ( ) ;
vec4 result = dot2x2ARowBCol ( rc ) ;
$ { b }
$ { x }
setOutput ( result ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var av={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},fx=class{constructor(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=C.assertAndGetBroadcastShape(t,n),this.userCode= `
float binaryOpComplex (
float areal , float aimag , float breal , float bimag ) {
$ { e }
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
void main ( ) {
float areal = getARealAtOutCoords ( ) ;
float aimag = getAImagAtOutCoords ( ) ;
float breal = getBRealAtOutCoords ( ) ;
float bimag = getBImagAtOutCoords ( ) ;
setOutput ( binaryOpComplex ( areal , aimag , breal , bimag ) ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var qD="return a * b;";function Pf(r){let{inputs:e,backend:t}=r,{a:n,b:o}=e,s=C.upcastType(n.dtype,o.dtype);if(n.dtype==="complex64"){let i=t.texData.get(n.dataId),l=t.texData.get(o.dataId),u=new fx(av.REAL,n.shape,o.shape),c=new fx(av.IMAG,n.shape,o.shape),p=[{dataId:i.complexTensorInfos.real.dataId,dtype:i.complexTensorInfos.real.dtype,shape:n.shape},{dataId:i.complexTensorInfos.imag.dataId,dtype:i.complexTensorInfos.imag.dtype,shape:n.shape},{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:o.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:o.shape}],m=t.runWebGLProgram(u,p,"float32"),f=t.runWebGLProgram(c,p,"float32"),d=xn({inputs:{real:m,imag:f},backend:t});return t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(f),d}if(t.shouldExecuteOnCPU([n,o])){let i=t.texData.get(n.dataId),l=t.texData.get(o.dataId),[u,c]=dD(n.shape,o.shape,i.values,l.values,s),p=t.makeTensorInfo(c,s),m=t.texData.get(p.dataId);return m.values=u,p}let a;return W().getBool("WEBGL_PACK_BINARY_OPERATIONS")?a=new Ns(qD,n.shape,o.shape):a=new co(qD,n.shape,o.shape),t.runWebGLProgram(a,[n,o],s)}var KD={kernelName:Ho,backendName:"webgl",kernelFunc:Pf};function XD(r,e,t){let n=[Ea(r.shape),...Da(r.shape)],o={dtype:r.dtype,shape:n,dataId:r.dataId},s=[Ea(e),...Da(e)],a=new Rf(s,n),i=!0,l=t.runWebGLProgram(a,[o],r.dtype,null,i);return{dataId:l.dataId,shape:e,dtype:l.dtype}}function ue(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{shape:s}=n,a=t,i=y.sizeFromShape(o.shape),l=y.inferFromImplicitShape(s,i),u=y.sizeFromShape(l);y.assert(i===u,()=> ` The new shape ( $ { l } ) has $ { u } elements and the old shape ( $ { o . shape } ) has $ { i } elements . The new shape and old shape must have the same number of elements . ` );let c=a.texData.get(o.dataId);return c.isPacked&&!bl(o.shape,l)&&!(c.texture!==null&&bl(c.shape,l))?XD(o,l,a):(a.incRef(o.dataId),{dataId:o.dataId,shape:l,dtype:o.dtype})}var YD={kernelName:Hs,backendName:"webgl",kernelFunc:ue};var dx=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:o,inSize:s,outSize:a}=e;this.outputShape=[o,a];let i=Math.floor(n/4)*4,l=n%4,u="sumValue += dot(values, ones);";if(t!=null){let p=1/t;u= ` sumValue += dot ( values * $ { y . isInt ( p ) ? p . toPrecision ( 2 ) : p } , ones ) ; ` }let c="";s%n>0&&(c= `
if ( inIdx < 0 || inIdx >= $ { s } ) {
return 0.0 ;
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
` ),this.userCode= `
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
float getValue ( int batch , int inIdx ) {
$ { c }
return getX ( batch , inIdx ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = outIdx * $ { n } ;
float sumValue = 0.0 ;
for ( int i = 0 ; i < $ { i } ; i += 4 ) {
int inIdx = inOffset + i ;
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
$ { u }
2021-03-30 15:03:18 +02:00
}
2021-04-28 14:58:21 +02:00
int inIdx = inOffset + $ { i } ;
if ( $ { l === 1 } ) {
vec4 values = vec4 ( getValue ( batch , inIdx ) , 0.0 , 0.0 , 0.0 ) ;
$ { u }
} else if ( $ { l === 2 } ) {
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) , 0.0 , 0.0 ) ;
$ { u }
} else if ( $ { l === 3 } ) {
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) , 0.0 ) ;
$ { u }
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
setOutput ( sumValue ) ;
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var lv=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:o,inSize:s,outSize:a}=e;this.outputShape=[o,a];let i="0.0",l="";t==="prod"?i="1.0":t==="min"?(i="1.0 / 1e-20",l="min"):t==="max"&&(i="-1.0 / 1e-20",l="max");let u= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="sum"?u="sumValue":t==="prod"?u="prodValue":t==="all"?u="allValue":t==="any"&&(u="anyValue");let c=Math.floor(n/4)*4,p=n%4,m= `
if ( $ { t === "sum" } ) {
sumValue += dot ( values , ones ) ;
} else if ( $ { t === "prod" } ) {
vec2 tmp = vec2 ( values [ 0 ] , values [ 1 ] ) * vec2 ( values [ 2 ] , values [ 3 ] ) ;
prodValue *= tmp [ 0 ] * tmp [ 1 ] ;
} else {
minMaxValue = $ { l } ( values , minMaxValue ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` ,f="vec4";t==="all"?(i="1.0",m= `
bool reducedAllValue = all ( values ) ;
float floatedReducedAllValue = float ( reducedAllValue ) ;
allValue = float ( allValue >= 1.0 && floatedReducedAllValue >= 1.0 ) ;
` ,f="bvec4"):t==="any"&&(i="0.0",m= `
bool reducedAnyValue = any ( values ) ;
float floatedReducedAnyValue = float ( reducedAnyValue ) ;
anyValue = float ( anyValue >= 1.0 || floatedReducedAnyValue >= 1.0 ) ;
` ,f="bvec4");let d="";s%n>0&&(d= `
if ( inIdx < 0 || inIdx >= $ { s } ) {
return initializationValue ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` ),this.userCode= `
const float initializationValue = $ { i } ;
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
float getValue ( int batch , int inIdx ) {
$ { d }
return getX ( batch , inIdx ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = outIdx * $ { n } ;
vec4 minMaxValue = vec4 ( $ { i } ) ;
float prodValue = 1.0 ;
float sumValue = 0.0 ;
float allValue = 1.0 ;
float anyValue = 0.0 ;
for ( int i = 0 ; i < $ { c } ; i += 4 ) {
int inIdx = inOffset + i ;
$ { f } values = $ { f } (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
$ { m }
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
int inIdx = inOffset + $ { c } ;
if ( $ { p === 1 } ) {
$ { f } values = $ { f } (
getValue ( batch , inIdx ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
$ { m }
} else if ( $ { p === 2 } ) {
$ { f } values = $ { f } (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
initializationValue ,
initializationValue
) ;
$ { m }
} else if ( $ { p === 3 } ) {
$ { f } values = $ { f } (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
initializationValue
) ;
$ { m }
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
setOutput ( $ { u } ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};function IX(r){let e=[];for(;e.length===0||e[e.length-1].outSize!==1;){let t=e.length?e[e.length-1].outSize:r[1],n=C.computeOptimalWindowSize(t);e.push({inSize:t,windowSize:n,outSize:Math.ceil(t/n)})}return e}function An(r,e,t,n){let o=IX(r.shape),s=r;for(let a=0;a<o.length;a++){let{inSize:i,windowSize:l,outSize:u}=o[a],c,p;t==="mean"?c=a===0?new dx({windowSize:l,inSize:i,batchSize:r.shape[0],outSize:u},i):new dx({windowSize:l,inSize:i,batchSize:r.shape[0],outSize:u}):c=new lv({windowSize:l,inSize:i,batchSize:r.shape[0],outSize:u},t),p=s,s=n.runWebGLProgram(c,[s],e),p.dataId!==r.dataId&&n.disposeIntermediateTensorInfo(p)}return s}var uv=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let a=0;a<n.length;a++)n[a]=e[t[a]];this.outputShape=n,this.rank=n.length;let o=Ve(this.rank),s=NX(t);this.userCode= `
void main ( ) {
$ { o } resRC = getOutputCoords ( ) ;
setOutput ( getA ( $ { s } ) ) ;
}
` }};function NX(r){let e=r.length;if(e>6)throw Error( ` Transpose for rank $ { e } is not yet supported ` );let t=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],n=new Array(e);for(let o=0;o<r.length;o++)n[r[o]]=t[o];return n.join()}var cv=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;let n=new Array(e.length);for(let c=0;c<n.length;c++)n[c]=e[t[c]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error( ` Packed transpose for rank $ { this . rank } is not yet supported . ` );let o=Ve(this.rank),s=Zk("rc",this.rank),a=new Array(this.rank);for(let c=0;c<t.length;c++)a[t[c]]=s[c];let i= ` vec2 ( $ { a . slice ( - 2 ) . join ( ) } ) ` ,l= ` ++ $ { s [ this . rank - 1 ] } < $ { n [ this . rank - 1 ] } ` ,u= ` getChannel ( getA ( $ { a . join ( ) } ) , $ { i } ) ` ;this.userCode= `
void main ( ) {
$ { o } rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
result [ 0 ] = $ { u } ;
if ( $ { l } ) {
result [ 1 ] = $ { u } ;
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
-- $ { s [ this . rank - 1 ] } ;
if ( ++ $ { s [ this . rank - 2 ] } < $ { n [ this . rank - 2 ] } ) {
result [ 2 ] = $ { u } ;
if ( $ { l } ) {
result [ 3 ] = $ { u } ;
2021-04-19 22:02:47 +02:00
}
}
2021-04-28 14:58:21 +02:00
setOutput ( result ) ;
}
` }};function kl(r,e,t){let n=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new cv(r.shape,e):new uv(r.shape,e);return t.runWebGLProgram(n,[r],r.dtype)}function ZD(r,e,t,n){let o=e,s=r.shape.length,a=y.parseAxisParam(o,r.shape),i=a,l=C.getAxesPermutation(i,s),u=l!=null,c=r;u&&(c=kl(r,l,n),i=C.getInnerMostAxes(i.length,s)),C.assertAxesAreInnerMostDims("sum",i,s);let[p,m]=C.computeOutAndReduceShapes(c.shape,i),f=p;t&&(f=C.expandShapeToKeepDim(p,a));let d=y.sizeFromShape(m),g=y.sizeFromShape(r.shape)/d,x=ue({inputs:{x:c},attrs:{shape:[g,d]},backend:n}),b=Kl(r.dtype),w=An(x,b,"sum",n),_=ue({inputs:{x:w},attrs:{shape:f},backend:n});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(w),u&&n.disposeIntermediateTensorInfo(c),_}function Pu(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s,keepDims:a}=n;return ZD(o,s,a,t)}var JD={kernelName:is,backendName:"webgl",kernelFunc:Pu};function $ t(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{perm:s}=n,a=t,i=o.shape.length,l=new Array(i);for(let c=0;c<l.length;c++)l[c]=o.shape[s[c]];let u;if(a.shouldExecuteOnCPU([o])){let p=a.texData.get(o.dataId).values,m=Fu(p,o.shape,o.dtype,s,l);u=a.makeTensorInfo(l,o.dtype);let f=a.texData.get(u.dataId);f.values=m}else u=kl(o,s,a);return u}var QD={kernelName:ms,backendName:"webgl",kernelFunc: $ t};var pv=1e3;function Mu({a:r,b:e,transposeA:t,transposeB:n,backend:o,bias:s=null,preluActivationWeights:a=null,leakyreluAlpha:i=0,activation:l=null}){let u=r.shape.length,c=e.shape.length,p=t?r.shape[u-2]:r.shape[u-1],m=n?e.shape[c-1]:e.shape[c-2],f=t?r.shape[u-1]:r.shape[u-2],d=n?e.shape[c-2]:e.shape[c-1],h=r.shape.slice(0,-2),g=e.shape.slice(0,-2),x=y.sizeFromShape(h),b=y.sizeFromShape(g),w=x===b||x===1||b===1;y.assert(u>=2&&c>=2&&w,()=> ` Error in matMul : the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of ( $ { h } ) and ( $ { g } ) . ` );let I=(x>b?r.shape.slice(0,-2):e.shape.slice(0,-2)).concat([f,d]);y.assert(p===m,()=> ` Error in matMul : inner shapes ( $ { p } ) and ( $ { m } ) of Tensors with shapes $ { r . shape } and $ { e . shape } and transposeA = $ { t } and transposeB = $ { n } must match . ` );let E=t?[x,p,f]:[x,f,p], $ =n?[b,d,m]:[b,m,d],D=ue({inputs:{x:r},backend:o,attrs:{shape:E}}),O=ue({inputs:{x:e},backend:o,attrs:{shape: $ }}),M=[D,O],G=Math.max(x,b),j=t?D.shape[1]:D.shape[2],U=s!=null,H=a!=null,q=l==="leakyrelu",X=l!=null?_l(l,!0):null,ne=U||H||q||X!=null,Y;if((f===1||d===1)&&j>pv&&ne===!1){let Q=D,ie=O;t&&(Q= $ t({inputs:{x:D},backend:o,attrs:{perm:[0,2,1]}}),M.push(Q)),n&&(ie= $ t({inputs:{x:O},backend:o,attrs:{perm:[0,2,1]}}),M.push(ie));let ce=d!==1,ae=d===1,fe=Q;ce&&(fe=ue({inputs:{x:Q},backend:o,attrs:{shape:[G,j,1]}}),M.push(fe));let de=d===1?2:1,xe=ie;ae&&(xe=ue({inputs:{x:ie},backend:o,attrs:{shape:[G,1,j]}}),M.push(xe));let we=Pf({inputs:{a:fe,b:xe},backend:o});Y=Pu({inputs:{x:we},backend:o,attrs:{axis:de,keepDims:!0}}),M.push(we)}else{let Q=ar(r.dtype,e.dtype),ie=new Of(E, $ ,[G,f,d],t,n,U,X,H,q),ce=[D,O];if(s!=null&&ce.push(s),H&&ce.push(a),q){let ae=o.makeTensorInfo([],"float32",y.createScalarValue(i,"float32"));ce.push(ae),M.push(ae)}Y=o.runWebGLProgram(ie,ce,Q)}let re=ue({inputs:{x:Y},backend:o,attrs:{shape:I}});M.push(Y);for(let Q of M)o.disposeIntermediateTensorInfo(Q);return re}function SX(r){let{inputs:e,backend:t,attrs:n}=r,{a:o,b:s,bias:a,preluActivationWeights:i}=e,{transposeA:l,transposeB:u,activation:c,leakyreluAlpha:p}=n;return Mu({a:o,b:s,transposeA:l,transposeB:u,backend:t,bias:a,preluActivationWeights:i,leakyreluAlpha:p,activation:c})}var e $ ={kernelName:Js,backendName:"webgl",kernelFunc:SX};var t $ ="return abs(x);";function TX(r){let{inputs:e,backend:t}=r,{x:n}=e;if(t.shouldExecuteOnCPU([n])&&n.dtype!=="complex64"){let s=t.texData.get(n.dataId),a=ux(s.values);return t.makeTensorInfo(n.shape,n.dtype,a)}let o;return W().getBool("WEBGL_PACK_UNARY_OPERATIONS")?o=new Is(n.shape,t $ ):o=new gn(n.shape,t $ ),t.runWebGLProgram(o,[n],n.dtype)}var r $ ={kernelName:zs,backendName:"webgl",kernelFunc:TX};var AX=br+ `
if ( abs ( x ) > 1. ) {
return NAN ;
}
return acos ( x ) ;
` ,EX=_e({opSnippet:AX}),n $ ={kernelName:_i,backendName:"webgl",kernelFunc:EX};var DX=br+ `
if ( x < 1.0 ) return NAN ;
return log ( x + sqrt ( x * x - 1.0 ) ) ; ` , $ X=_e({opSnippet:DX}),o $ ={kernelName:ki,backendName:"webgl",kernelFunc: $ X};var s $ ="return a + b;",RX=st({opSnippet:s $ ,packedOpSnippet:s $ ,supportsComplex:!0,cpuKernelImpl:Q2}),i $ ={kernelName:On,backendName:"webgl",kernelFunc:RX};var mv=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((s,a)=> ` T$ { a } ` );let n=[];this.variableNames.forEach(s=>{n.push( ` float v$ { s } = get$ { s } AtOutCoords ( ) ; ` )});let o=this.variableNames.map(s=> ` v$ { s } ` ).join(" + ");this.userCode= `
void main ( ) {
$ { n . join ( `
` )}
float result = $ { o } ;
setOutput ( result ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var fv=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((s,a)=> ` T$ { a } ` );let n=[];this.variableNames.forEach(s=>{n.push( ` vec4 v$ { s } = get$ { s } AtOutCoords ( ) ; ` )});let o=this.variableNames.map(s=> ` v$ { s } ` ).join(" + ");this.userCode= `
void main ( ) {
$ { n . join ( `
` )}
vec4 result = $ { o } ;
setOutput ( result ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};function hx(r){let{inputs:e,backend:t}=r,n=e;if(n.length===1)return jt({inputs:{x:n[0]},backend:t});if(n.length>W().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let l=Math.floor(n.length/2),u=hx({inputs:n.slice(0,l),backend:t}),c=hx({inputs:n.slice(l),backend:t});return hx({inputs:[u,c],backend:t})}let o=n.map(l=>l.dtype).reduce((l,u)=>ar(l,u)),s=n.map(l=>l.shape),i=W().getBool("WEBGL_PACK")?new fv(n[0].shape,s):new mv(n[0].shape,s);return t.runWebGLProgram(i,n,o)}var a $ ={kernelName:_o,backendName:"webgl",kernelFunc:hx};function FX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s,keepDims:a}=n,i=o.shape.length,l=y.parseAxisParam(s,o.shape),u=l,c=C.getAxesPermutation(u,i),p=o;c!=null&&(p= $ t({inputs:{x:o},backend:t,attrs:{perm:c}}),u=C.getInnerMostAxes(u.length,i)),C.assertAxesAreInnerMostDims("all",u,i);let[m,f]=C.computeOutAndReduceShapes(p.shape,u),d=y.sizeFromShape(f),h=ue({inputs:{x:p},backend:t,attrs:{shape:[-1,d]}}),g=An(h,h.dtype,"all",t),x;if(a){let b=C.expandShapeToKeepDim(m,l);x=ue({inputs:{x:g},backend:t,attrs:{shape:b}})}else x=ue({inputs:{x:g},backend:t,attrs:{shape:m}});return t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),c!=null&&t.disposeIntermediateTensorInfo(p),x}var l $ ={kernelName:vi,backendName:"webgl",kernelFunc:FX};function OX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s,keepDims:a}=n,i=o.shape.length,l=y.parseAxisParam(s,o.shape),u=l,c=C.getAxesPermutation(u,i),p=o;c!=null&&(p= $ t({inputs:{x:o},backend:t,attrs:{perm:c}}),u=C.getInnerMostAxes(u.length,i)),C.assertAxesAreInnerMostDims("any",u,i);let[m,f]=C.computeOutAndReduceShapes(p.shape,u),d=y.sizeFromShape(f),h=ue({inputs:{x:p},backend:t,attrs:{shape:[-1,d]}}),g=An(h,h.dtype,"any",t),x;if(a){let b=C.expandShapeToKeepDim(m,l);x=ue({inputs:{x:g},backend:t,attrs:{shape:b}})}else x=ue({inputs:{x:g},backend:t,attrs:{shape:m}});return t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),c!=null&&t.disposeIntermediateTensorInfo(p),x}var u $ ={kernelName:Ci,backendName:"webgl",kernelFunc:OX};var dv=class{constructor(e,t,n){this.variableNames=["A"];let{windowSize:o,batchSize:s,outSize:a}=e;n||this.variableNames.push("bestIndicesA"),this.outputShape=[s,a];let i=t==="max"?">":"<",l=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode= `
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = outIdx * $ { o } ;
int bestIndex = inOffset ;
float bestValue = getA ( batch , bestIndex ) ;
for ( int i = 0 ; i < $ { o } ; i ++ ) {
int inIdx = $ { l } ;
float candidate = getA ( batch , inIdx ) ;
if ( candidate $ { i } bestValue ) {
bestValue = candidate ;
bestIndex = inIdx ;
2021-04-17 00:03:15 +02:00
}
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
setOutput ( float ( bestIndex ) ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var hv=class{constructor(e,t,n,o){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,y.assert(e.length>2,()=> ` Packed arg$ { n . charAt ( 0 ) . toUpperCase ( ) + n . slice ( 1 ) } supports only inputs with rank above 2. ` );let s=e[e.length-1],a=Math.ceil(s/t);this.outputShape=e.slice(0,-1),a>1&&this.outputShape.push(a),o||this.variableNames.push("bestIndicesA");let i=this.outputShape,l=i.length,u=Ve(l),c=Wt("coords",l),p,m;if(a===1){m=l+1;let D=Ve(m);p= `
$ { D } sourceLocR = $ { D } ( $ { c . join ( ) } , 0 ) ;
++ $ { c [ l - 1 ] } ;
$ { D } sourceLocG = $ { D } ( $ { c . join ( ) } , 0 ) ;
++ $ { c [ l - 2 ] } ;
$ { D } sourceLocA = $ { D } ( $ { c . join ( ) } , 0 ) ;
-- $ { c [ l - 1 ] } ;
$ { D } sourceLocB = $ { D } ( $ { c . join ( ) } , 0 ) ;
-- $ { c [ l - 2 ] } ; ` }else m=l,p= `
$ { u } sourceLocR = coords ;
++ $ { c [ l - 1 ] } ;
$ { u } sourceLocG = coords ;
++ $ { c [ l - 2 ] } ;
$ { u } sourceLocA = coords ;
-- $ { c [ l - 1 ] } ;
$ { u } sourceLocB = coords ;
-- $ { c [ l - 2 ] } ; ` ;let f=["x","y","z","w","u","v"].slice(0,m),d="."+f[m-1],h=f.map(D=>"int "+D),g=Wt("sourceLocR",m-1).concat("inIdx.r"),x=Wt("sourceLocG",m-1).concat("inIdx.g"),b=Wt("sourceLocB",m-1).concat("inIdx.b"),w=Wt("sourceLocA",m-1).concat("inIdx.a"),_=n==="max"?"greaterThan":"lessThan",I=o?"": `
inIdx = round ( vec4 ( getBestIndicesAChannel ( $ { g . join ( ) } ) ,
getBestIndicesAChannel ( $ { x . join ( ) } ) ,
getBestIndicesAChannel ( $ { b . join ( ) } ) ,
getBestIndicesAChannel ( $ { w . join ( ) } ) ) ) ; ` ,E= ` vec4 (
getAChannel ( $ { g . join ( ) } ) ,
hasNextCol ? getAChannel ( $ { x . join ( ) } ) : 0. ,
hasNextRow ? getAChannel ( $ { b . join ( ) } ) : 0. ,
hasNextRow && hasNextCol ? getAChannel ( $ { w . join ( ) } ) : 0. ) ` , $ =o?"": `
float getBestIndicesAChannel ( $ { h . join ( ) } ) {
return getChannel ( getBestIndicesA ( $ { f . join ( ) } ) ,
vec2 ( $ { f . slice ( - 2 ) . join ( ) } ) ) ;
} ` ;this.userCode= `
float getAChannel ( $ { h . join ( ) } ) {
return getChannel ( getA ( $ { f . join ( ) } ) ,
vec2 ( $ { f . slice ( - 2 ) . join ( ) } ) ) ;
}
$ { $ }
void main ( ) {
$ { u } coords = getOutputCoords ( ) ;
bool hasNextCol = $ { c [ l - 1 ] } < $ { i [ l - 1 ] - 1 } ;
bool hasNextRow = $ { c [ l - 2 ] } < $ { i [ l - 2 ] - 1 } ;
$ { p }
ivec4 srcIdx = ivec4 ( sourceLocR$ { d } , sourceLocG$ { d } ,
sourceLocB$ { d } , sourceLocA$ { d } ) * $ { t } ;
ivec4 inIdx = srcIdx ;
vec4 bestIndex = vec4 ( inIdx ) ;
vec4 bestValue = $ { E } ;
for ( int i = 0 ; i < $ { t } ; i ++ ) {
inIdx = srcIdx ;
$ { I }
vec4 candidate = $ { E } ;
bvec4 nan = isnan ( candidate ) ;
bvec4 replace = bvec4 (
vec4 ( $ { _ } ( candidate , bestValue ) ) * ( vec4 ( 1.0 ) - vec4 ( nan ) ) ) ;
bestValue = vec4 ( replace . x ? candidate . x : bestValue . x ,
replace . y ? candidate . y : bestValue . y ,
replace . z ? candidate . z : bestValue . z ,
replace . w ? candidate . w : bestValue . w ) ;
bestIndex = mix ( bestIndex , vec4 ( inIdx ) , vec4 ( replace ) ) ;
srcIdx ++ ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
setOutput ( bestIndex ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};function c $ (r,e,t,n=null){let o=e.shape[0],s=e.shape[1];n!=null&&(o=n.shape[0],s=n.shape[1]);let a=C.computeOptimalWindowSize(s),i={windowSize:a,inSize:s,batchSize:o,outSize:Math.ceil(s/a)},l=new dv(i,t,n==null),u=[e];n!=null&&u.push(n);let c=r.runWebGLProgram(l,u,"int32");if(c.shape[1]===1)return c;let p=c $ (r,e,t,c);return r.disposeIntermediateTensorInfo(c),p}function p $ (r,e,t,n=null){let o=n!=null?n.shape:e.shape,s=o[o.length-1],a=C.computeOptimalWindowSize(s),i=new hv(o,a,t,n==null),l=n==null?[e]:[e,n],u=r.runWebGLProgram(i,l,"int32");if(u.shape.length===e.shape.length){let c=p $ (r,e,t,u);return r.disposeIntermediateTensorInfo(u),c}return u}function gx(r,e,t,n){let o=[t];if(C.assertAxesAreInnerMostDims("arg"+n.charAt(0).toUpperCase()+n.slice(1),o,e.shape.length),!W().getBool("WEBGL_PACK_REDUCE")||e.shape.length<=2){let s=[],[a,i]=C.computeOutAndReduceShapes(e.shape,o),l=y.sizeFromShape(i),u=ue({inputs:{x:e},backend:r,attrs:{shape:[-1,l]}});s.push(u);let c=c $ (r,u,n);s.push(c);let p=ue({inputs:{x:c},backend:r,attrs:{shape:a}});return s.forEach(m=>r.disposeIntermediateTensorInfo(m)),p}return p $ (r,e,n)}function PX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s}=n,a=y.parseAxisParam(s,o.shape),i=C.getAxesPermutation(a,o.shape.length),l=o,u=[];i!=null&&(l= $ t({inputs:{x:o},backend:t,attrs:{perm:i}}),u.push(l),a=C.getInnerMostAxes(a.length,l.shape.length)),C.assertAxesAreInnerMostDims("argMax",[a[0]],l.shape.length);let c=gx(t,l,a[0],"max");return u.forEach(p=>t.disposeIntermediateTensorInfo(p)),c}var m $ ={kernelName:ko,backendName:"webgl",kernelFunc:PX};function MX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s}=n,a=y.parseAxisParam(s,o.shape),i=C.getAxesPermutation(a,o.shape.length),l=o,u=[];i!=null&&(l= $ t({inputs:{x:o},backend:t,attrs:{perm:i}}),u.push(l),a=C.getInnerMostAxes(a.length,l.shape.length)),C.assertAxesAreInnerMostDims("argMin",[a[0]],l.shape.length);let c=gx(t,l,a[0],"min");return u.forEach(p=>t.disposeIntermediateTensorInfo(p)),c}var f $ ={kernelName:Ka,backendName:"webgl",kernelFunc:MX};var LX=br+ `
if ( abs ( x ) > 1. ) {
return NAN ;
}
return asin ( x ) ;
` ,zX=_e({opSnippet:LX}),d $ ={kernelName:Ii,backendName:"webgl",kernelFunc:zX};var BX=br+"return log(x + sqrt(x * x + 1.0));",VX=_e({opSnippet:BX}),h $ ={kernelName:Ni,backendName:"webgl",kernelFunc:VX};var GX=br+ `
return atan ( x ) ;
` ,WX=_e({opSnippet:GX}),g $ ={kernelName:Si,backendName:"webgl",kernelFunc:WX};var jX=UD+ `
return atan ( a , b ) ;
` ,UX= `
vec4 result = atan ( a , b ) ;
vec4 isNaN = min ( vec4 ( isnan ( a ) ) + vec4 ( isnan ( b ) ) , vec4 ( 1.0 ) ) ;
` +HD+ `
return result ;
` ,HX=st({opSnippet:jX,packedOpSnippet:UX}),x $ ={kernelName:Ai,backendName:"webgl",kernelFunc:HX};var qX=br+ `
if ( ( x < - 1.0 ) || ( x > 1.0 ) ) return NAN ;
return ( log ( 1.0 + x ) - log ( 1.0 - x ) ) / 2.0 ; ` ,KX=_e({opSnippet:qX}),y $ ={kernelName:Ti,backendName:"webgl",kernelFunc:KX};var ui=class{constructor(e,t,n,o=!1,s=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let a=e.filterWidth,i=e.strideHeight,l=e.strideWidth,u=e.dilationHeight,c=e.dilationWidth,p=e.effectiveFilterHeight,m=e.effectiveFilterWidth,f=e.padInfo.top,d=e.padInfo.left;this.outputShape=e.outShape;let h=t==="avg",g= ` ( ( batch * $ { e . inHeight } + xR ) * $ { e . inWidth } + xC ) * $ { e . inChannels } + d ` ,x= ` ( xR * $ { e . inWidth } + xC ) * $ { e . inChannels } + d ` ,b="0.0";if(h||(b="-1.0 / 1e-20"),n){let D=">=";this.userCode= `
const ivec2 strides = ivec2 ( $ { i } , $ { l } ) ;
const ivec2 pads = ivec2 ( $ { f } , $ { d } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
float minMaxValue = 0.0 ;
float minMaxValueFound = 0.0 ;
int minMaxPosition = 0 ;
float avgValue = 0.0 ;
for ( int wR = 0 ; wR < $ { p } ;
wR += $ { u } ) {
int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
for ( int wC = 0 ; wC < $ { m } ;
wC += $ { c } ) {
int xC = xCCorner + wC ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
float value = getX ( batch , xR , xC , d ) ;
// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix (
value , minMaxValue , minMaxValueFound ) ;
if ( value $ { D } currMinMaxValue ) {
minMaxValue = value ;
minMaxValueFound = 1.0 ;
minMaxPosition = $ { o ? s ? g : x : ` wR * ${ m } + wC ` } ;
}
2021-04-19 22:19:03 +02:00
}
2021-04-17 00:03:15 +02:00
}
2021-04-28 14:58:21 +02:00
setOutput ( float ( minMaxPosition ) ) ;
2021-04-17 00:03:15 +02:00
}
2021-04-28 14:58:21 +02:00
` ;return}let w="max",_= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="avg"&&(_="avgValue / count");let I=Math.floor(a/4)*4,E=a%4, $ = `
if ( $ { h } ) {
avgValue += dot ( values , ones ) ;
} else {
minMaxValue = $ { w } ( values , minMaxValue ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` ;this.userCode= `
const ivec2 strides = ivec2 ( $ { i } , $ { l } ) ;
const ivec2 pads = ivec2 ( $ { f } , $ { d } ) ;
const float initializationValue = $ { b } ;
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
float count = 0.0 ;
float getValue ( int batch , int xR , int xC , int d ) {
if ( xC < 0 || xC >= $ { e . inWidth } ) {
return initializationValue ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
count += 1.0 ;
return getX ( batch , xR , xC , d ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
vec4 minMaxValue = vec4 ( $ { b } ) ;
float avgValue = 0.0 ;
count = 0.0 ;
for ( int wR = 0 ; wR < $ { p } ;
wR += $ { u } ) {
int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
for ( int wC = 0 ; wC < $ { I } ; wC += 4 ) {
int xC = xCCorner + wC * $ { c } ;
vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
getValue ( batch , xR , xC + $ { c } , d ) ,
getValue ( batch , xR , xC + 2 * $ { c } , d ) ,
getValue ( batch , xR , xC + 3 * $ { c } , d )
) ;
$ { $ }
}
int xC = xCCorner + $ { I } ;
if ( $ { E === 1 } ) {
vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
$ { $ }
} else if ( $ { E === 2 } ) {
vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
getValue ( batch , xR , xC + $ { c } , d ) ,
initializationValue ,
initializationValue
) ;
$ { $ }
} else if ( $ { E === 3 } ) {
vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
getValue ( batch , xR , xC + $ { c } , d ) ,
getValue ( batch , xR , xC + 2 * $ { c } , d ) ,
initializationValue
) ;
$ { $ }
2021-04-28 14:55:26 +02:00
}
}
2021-04-28 14:58:21 +02:00
setOutput ( $ { _ } ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }},Lu=class{constructor(e,t,n,o=!1,s=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let a=e.filterWidth,i=e.strideDepth,l=e.strideHeight,u=e.strideWidth,c=e.dilationDepth,p=e.dilationHeight,m=e.dilationWidth,f=e.effectiveFilterDepth,d=e.effectiveFilterHeight,h=e.effectiveFilterWidth,g=e.padInfo.front,x=e.padInfo.top,b=e.padInfo.left;this.outputShape=e.outShape;let w=t==="avg",_="0.0";if(w||(_="-1.0 / 1e-20"),n){let M=">=";this.userCode= `
const ivec3 strides =
ivec3 ( $ { i } , $ { l } , $ { u } ) ;
const ivec3 pads = ivec3 ( $ { g } , $ { x } , $ { b } ) ;
2021-04-15 21:01:27 +02:00
2021-04-28 14:58:21 +02:00
void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
ivec3 xCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xDCorner = xCorner . x ;
int xRCorner = xCorner . y ;
int xCCorner = xCorner . z ;
// max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).
// ? = to be determined
float minMaxValue = 0.0 ;
float minMaxValueFound = 0.0 ;
int minMaxPosition = 0 ;
for ( int wD = 0 ; wD < $ { f } ;
wD += $ { c } ) {
int xD = xDCorner + wD ;
if ( xD < 0 || xD >= $ { e . inDepth } ) {
continue ;
}
for ( int wR = 0 ; wR < $ { d } ;
wR += $ { p } ) {
int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
for ( int wC = 0 ; wC < $ { h } ;
wC += $ { m } ) {
int xC = xCCorner + wC ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
float value = getX ( batch , xD , xR , xC , ch ) ;
// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix (
value , minMaxValue , minMaxValueFound ) ;
if ( value $ { M } currMinMaxValue ) {
minMaxValue = value ;
minMaxValueFound = 1.0 ;
minMaxPosition = $ { o ? s ? ` (((batch * ${ e . inDepth } + xD) * ${ e . inHeight } + xR) * ${ e . inWidth } + xC) * ${ e . inChannels } + ch ` : ` ((xD * ${ e . inHeight } + xR) * ${ e . inWidth } + xC) * ${ e . inChannels } + ch ` : ` wD * ${ d } * ${ h } +
wR * $ { h } + wC ` };
}
2021-04-28 14:55:26 +02:00
}
}
2021-04-19 22:19:03 +02:00
}
2021-04-28 14:58:21 +02:00
setOutput ( float ( minMaxPosition ) ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` ;return}let I="max",E= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="avg"&&(E="avgValue / count");let $ =Math.floor(a/4)*4,D=a%4,O= `
if ( $ { w } ) {
avgValue += dot ( values , ones ) ;
} else {
minMaxValue = $ { I } ( values , minMaxValue ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` ;this.userCode= `
const ivec3 strides =
ivec3 ( $ { i } , $ { l } , $ { u } ) ;
const ivec3 pads = ivec3 ( $ { g } , $ { x } , $ { b } ) ;
const float initializationValue = $ { _ } ;
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
float count = 0.0 ;
float getValue ( int batch , int xD , int xR , int xC , int ch ) {
if ( xC < 0 || xC >= $ { e . inWidth } ) {
return initializationValue ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
count += 1.0 ;
return getX ( batch , xD , xR , xC , ch ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
ivec3 xCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xDCorner = xCorner . x ;
int xRCorner = xCorner . y ;
int xCCorner = xCorner . z ;
// max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).
// ? = to be determined
vec4 minMaxValue = vec4 ( $ { _ } ) ;
float avgValue = 0.0 ;
count = 0.0 ;
for ( int wD = 0 ; wD < $ { f } ;
wD += $ { c } ) {
int xD = xDCorner + wD ;
if ( xD < 0 || xD >= $ { e . inDepth } ) {
continue ;
}
for ( int wR = 0 ; wR < $ { d } ;
wR += $ { p } ) {
int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
2021-04-28 14:55:26 +02:00
continue ;
2021-04-19 22:19:03 +02:00
}
2021-04-28 14:58:21 +02:00
for ( int wC = 0 ; wC < $ { $ } ; wC += 4 ) {
int xC = xCCorner + wC * $ { m } ;
vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
getValue ( batch , xD , xR , xC + $ { m } , ch ) ,
getValue ( batch , xD , xR , xC + 2 * $ { m } , ch ) ,
getValue ( batch , xD , xR , xC + 3 * $ { m } , ch )
) ;
$ { O }
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
int xC = xCCorner + $ { $ } ;
if ( $ { D === 1 } ) {
vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
$ { O }
} else if ( $ { D === 2 } ) {
vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
getValue ( batch , xD , xR , xC + $ { m } , ch ) ,
initializationValue ,
initializationValue
) ;
$ { O }
} else if ( $ { D === 3 } ) {
vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
getValue ( batch , xD , xR , xC + $ { m } , ch ) ,
getValue ( batch , xD , xR , xC + 2 * $ { m } , ch ) ,
initializationValue
) ;
$ { O }
2021-04-19 22:19:03 +02:00
}
}
2021-04-28 14:58:21 +02:00
setOutput ( $ { E } ) ;
2021-04-19 22:19:03 +02:00
}
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};function XX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e;vs(o,"avgPool");let{filterSize:s,strides:a,pad:i,dimRoundingMode:l}=n,u=1;y.assert(C.eitherStridesOrDilationsAreOne(a,u),()=> ` Error in avgPool : Either strides or dilations must be 1. Got strides $ { a } and dilations '${u}' ` );let c=C.computePool2DInfo(o.shape,s,a,u,i,l);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return jt({inputs:{x:o},backend:t});let p=new ui(c,"avg",!1);return t.runWebGLProgram(p,[o],"float32")}var b $ ={kernelName:vo,backendName:"webgl",kernelFunc:XX};function YX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:l,dataFormat:u}=n,c=[1,1,1],p=C.computePool3DInfo(o.shape,s,a,c,i,l,u),m=new Lu(p,"avg",!1);return t.runWebGLProgram(m,[o],"float32")}var w $ ={kernelName:Xa,backendName:"webgl",kernelFunc:YX};var gv=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,o=e.strideHeight,s=e.strideWidth,a=e.dilationHeight,i=e.dilationWidth,l=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=l-1-e.padInfo.top,p=u-1-e.padInfo.left,m=1/(t*n);this.userCode= `
const ivec2 pads = ivec2 ( $ { c } , $ { p } ) ;
const float avgMultiplier = float ( $ { m } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 dyRCCorner = coords . yz - pads ;
int dyRCorner = dyRCCorner . x ;
int dyCCorner = dyRCCorner . y ;
// Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { l } ;
wR += $ { a } ) {
float dyR = float ( dyRCorner + wR ) / $ { o } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
2021-04-19 22:19:03 +02:00
}
2021-04-28 14:58:21 +02:00
int idyR = int ( dyR ) ;
for ( int wC = 0 ; wC < $ { u } ;
wC += $ { i } ) {
float dyC = float ( dyCCorner + wC ) / $ { s } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
float dyValue = getDy ( b , idyR , idyC , d ) ;
dotProd += dyValue * avgMultiplier ;
2021-04-19 22:19:03 +02:00
}
}
2021-04-28 14:58:21 +02:00
setOutput ( dotProd ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }},xv=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,o=e.filterWidth,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,l=e.dilationDepth,u=e.dilationHeight,c=e.dilationWidth,p=e.effectiveFilterDepth,m=e.effectiveFilterHeight,f=e.effectiveFilterWidth,d=p-1-e.padInfo.front,h=m-1-e.padInfo.top,g=f-1-e.padInfo.left,x=1/(t*n*o);this.userCode= `
const ivec3 pads = ivec3 ( $ { d } , $ { h } , $ { g } ) ;
const float avgMultiplier = float ( $ { x } ) ;
void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
int dyDCorner = dyCorner . x ;
int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
// Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get
// dx(xD, xR, xC, ch).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int wD = 0 ; wD < $ { p } ;
wD += $ { l } ) {
float dyD = float ( dyDCorner + wD ) / $ { s } . 0 ;
if ( dyD < 0.0 || dyD >= $ { e . outDepth } . 0 || fract ( dyD ) > 0.0 ) {
continue ;
2021-04-19 22:19:03 +02:00
}
2021-04-28 14:58:21 +02:00
int idyD = int ( dyD ) ;
for ( int wR = 0 ; wR < $ { m } ;
wR += $ { u } ) {
float dyR = float ( dyRCorner + wR ) / $ { a } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
for ( int wC = 0 ; wC < $ { f } ;
wC += $ { c } ) {
float dyC = float ( dyCCorner + wC ) / $ { i } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
float dyValue = getDy ( batch , idyD , idyR , idyC , ch ) ;
dotProd += dyValue * avgMultiplier ;
}
2021-04-19 22:19:03 +02:00
}
}
2021-04-28 14:58:21 +02:00
setOutput ( dotProd ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};function ZX(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,input:s}=e,a=s,{filterSize:i,strides:l,pad:u,dimRoundingMode:c}=n,p=[1,1,1],m=C.computePool3DInfo(a.shape,i,l,p,u,c),f=new xv(m);return t.runWebGLProgram(f,[o],a.dtype)}var _ $ ={kernelName:xc,backendName:"webgl",kernelFunc:ZX};function JX(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,input:s}=e,a=s;vs([o,s],"avgPoolGrad");let{filterSize:i,strides:l,pad:u}=n,c=C.computePool2DInfo(a.shape,i,l,1,u),p=new gv(c);return t.runWebGLProgram(p,[o],a.dtype)}var k $ ={kernelName:gc,backendName:"webgl",kernelFunc:JX};function QX(r){let{inputs:e,backend:t,attrs:n}=r,{a:o,b:s}=e,{transposeA:a,transposeB:i}=n;return Mu({a:o,b:s,transposeA:a,transposeB:i,backend:t})}var v $ ={kernelName:Co,backendName:"webgl",kernelFunc:QX};var yv=class{constructor(e,t,n,o,s,a){this.outputShape=[],this.variableNames=["x","mean","variance"],C.assertAndGetBroadcastShape(e,t),C.assertAndGetBroadcastShape(e,n);let i="0.0";o!=null&&(C.assertAndGetBroadcastShape(e,o),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let l="1.0";s!=null&&(C.assertAndGetBroadcastShape(e,s),this.variableNames.push("scale"),l="getScaleAtOutCoords()"),this.outputShape=e,this.userCode= `
void main ( ) {
float x = getXAtOutCoords ( ) ;
float mean = getMeanAtOutCoords ( ) ;
float variance = getVarianceAtOutCoords ( ) ;
float offset = $ { i } ;
float scale = $ { l } ;
float inv = scale * inversesqrt ( variance + float ( $ { a } ) ) ;
setOutput ( dot ( vec3 ( x , - mean , offset ) , vec3 ( inv , inv , 1 ) ) ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var bv=class{constructor(e,t,n,o,s,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],C.assertAndGetBroadcastShape(e,t),C.assertAndGetBroadcastShape(e,n);let i="vec4(0.0)";o!=null&&(C.assertAndGetBroadcastShape(e,o),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let l="vec4(1.0)";s!=null&&(C.assertAndGetBroadcastShape(e,s),this.variableNames.push("scale"),l="getScaleAtOutCoords()"),this.outputShape=e,this.userCode= `
void main ( ) {
vec4 offset = $ { i } ;
vec4 scale = $ { l } ;
vec4 x = getXAtOutCoords ( ) ;
vec4 mean = getMeanAtOutCoords ( ) ;
vec4 variance = getVarianceAtOutCoords ( ) ;
vec4 inv = scale * inversesqrt ( variance + vec4 ( $ { a } ) ) ;
setOutput ( ( x - mean ) * inv + offset ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var e7=({inputs:r,backend:e,attrs:t})=>{let{x:n,mean:o,variance:s,offset:a,scale:i}=r;y.assert(o.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),y.assert(a==null||o.shape.length===a.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),y.assert(i==null||o.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:l}=t;l==null&&(l=.001);let u=[n,o,s],c=null;a!=null&&(c=a.shape,u.push(a));let p=null;i!=null&&(p=i.shape,u.push(i));let m=W().getBool("WEBGL_PACK_NORMALIZATION")?new bv(n.shape,o.shape,s.shape,c,p,l):new yv(n.shape,o.shape,s.shape,c,p,l);return e.runWebGLProgram(m,u,u[0].dtype)},C $ ={kernelName:Oo,backendName:"webgl",kernelFunc:e7};var wv=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=Ve(this.rank),n= ` uniform int start [ $ { this . rank } ] ; ` ,o=t7(this.rank),s,a=e.map((i,l)=> ` sourceLoc . $ { _v [ l ] } = start [ $ { l } ] + coords . $ { _v [ l ] } ; ` );s= `
$ { t } sourceLoc ;
$ { t } coords = getOutputCoords ( ) ;
$ { a . join ( `
` )}
` ,this.userCode= `
$ { n }
void main ( ) {
$ { s }
setOutput ( getSource ( $ { o } ) ) ;
}
` }getCustomSetupFunc(e){if(e.length!==this.rank)throw Error( ` The rank ( $ { this . rank } ) of the program must match the length of start ( $ { e . length } ) ` );return(t,n)=>{this.startLoc==null&&(this.startLoc=t.getUniformLocationNoThrow(n,"start"),this.startLoc==null)||t.gl.uniform1iv(this.startLoc,e)}}},_v=["x","y","z","w","u","v"];function t7(r){if(r===1)return"sourceLoc";if(r<=6)return _v.slice(0,r).map(e=>"sourceLoc."+e).join(",");throw Error( ` Slicing for rank $ { r } is not yet supported ` )}var kv=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length;let t=Ve(this.rank),n=Wt("coords",this.rank),o=Wt("sourceLoc",this.rank),s=this.rank===1?"sourceLoc": ` vec2 ( $ { o . slice ( - 2 ) . join ( ) } ) ` ,a= ` getChannel ( getSource ( $ { o . join ( ) } ) , $ { s } ) ` ,i= `
result . x = $ { a } ;
if ( ++ $ { n [ this . rank - 1 ] } < $ { e [ this . rank - 1 ] } ) {
++ $ { o [ this . rank - 1 ] } ;
result . y = $ { a } ;
-- $ { o [ this . rank - 1 ] } ;
}
` ,l=this.rank===1?"": `
-- $ { n [ this . rank - 1 ] } ;
if ( ++ $ { n [ this . rank - 2 ] } < $ { e [ this . rank - 2 ] } ) {
++ $ { o [ this . rank - 2 ] } ;
result . z = $ { a } ;
if ( ++ $ { n [ this . rank - 1 ] } < $ { e [ this . rank - 1 ] } ) {
++ $ { o [ this . rank - 1 ] } ;
result . w = $ { a } ;
}
}
` ,u=this.rank<=4? ` sourceLoc = coords +
$ { t } ( $ { e . map ( ( c , p ) => ` start[ ${ p } ] ` ) . join ( ) } ) ; ` :e.map((c,p)=> ` $ { o [ p ] } = $ { n [ p ] } + start [ $ { p } ] ; ` ).join( `
` );this.userCode= `
uniform int start [ $ { this . rank } ] ;
void main ( ) {
$ { t } coords = getOutputCoords ( ) ;
$ { t } sourceLoc ;
$ { u }
vec4 result = vec4 ( 0. ) ;
$ { i }
$ { l }
setOutput ( result ) ;
2021-04-19 22:19:03 +02:00
}
2021-04-28 14:58:21 +02:00
` }getCustomSetupFunc(e){if(e.length!==this.rank)throw Error( ` The rank ( $ { this . rank } ) of the program must match the length of start ( $ { e . length } ) ` );return(t,n)=>{this.startLoc==null&&(this.startLoc=t.getUniformLocationNoThrow(n,"start"),this.startLoc==null)||t.gl.uniform1iv(this.startLoc,e)}}};function r7(r,e,t,n){let o=n.texData.get(r.dataId),s=n.makeTensorInfo(t,r.dtype),a=n.texData.get(s.dataId);Object.assign(a,o),a.refCount=1,a.shape=t,a.dtype=r.dtype;let i=rr.computeFlatOffset(e,y.computeStrides(r.shape));o.slice&&(i+=o.slice.flatOffset),a.slice={flatOffset:i,origDataId:o.slice&&o.slice.origDataId||r.dataId};let l=n.dataRefCount.get(a.slice.origDataId)||1;return n.dataRefCount.set(a.slice.origDataId,l+1),s}function $ a(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{begin:s,size:a}=n,[i,l]=rr.parseSliceParams(o,s,a);if(rr.assertParamsValid(o,i,l),y.sizeFromShape(l)===0)return t.makeTensorInfo(l,o.dtype,[]);if(t.shouldExecuteOnCPU([o])||o.dtype==="string"){let p=t.texData.get(o.dataId),m=bD(p.values,i,l,o.shape,o.dtype);return t.makeTensorInfo(l,o.dtype,m)}let{isPacked:u}=t.texData.get(o.dataId),c=rr.isSliceContinous(o.shape,i,l);if(u||!c){let p=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new kv(l):new wv(l),m=p.getCustomSetupFunc(i);return t.runWebGLProgram(p,[o],o.dtype,m)}return t.uploadToGPU(o.dataId),r7(o,i,l,t)}var I $ ={kernelName:Ks,backendName:"webgl",kernelFunc: $ a};var n7=r=>{let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{blockShape:s,crops:a}=n;y.assert(o.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let i=s.reduce((b,w)=>b*w),l=C.getReshaped(o.shape,s,i),u=C.getPermuted(l.length,s.length),c=C.getReshapedPermuted(o.shape,s,i),p=C.getSliceBeginCoords(a,s.length),m=C.getSliceSize(c,a,s.length),f=[],d=ue({inputs:{x:o},backend:t,attrs:{shape:l}}),h= $ t({inputs:{x:d},backend:t,attrs:{perm:u}}),g=ue({inputs:{x:h},backend:t,attrs:{shape:c}}),x= $ a({inputs:{x:g},backend:t,attrs:{begin:p,size:m}});return f.push(d),f.push(h),f.push(g),f.forEach(b=>t.disposeIntermediateTensorInfo(b)),x},N $ ={kernelName:Ya,backendName:"webgl",kernelFunc:n7};function o7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,weights:s}=e,{size:a}=n,i=t.readSync(o.dataId),l=t.readSync(s.dataId),u=lx(i,l,s.dtype,s.shape,a);return t.makeTensorInfo([a],s.dtype,u)}var S $ ={kernelName:yc,backendName:"webgl",kernelFunc:o7};var s7="return float(a != b);",vv=st({opSnippet:s7,dtype:"bool"}),T $ ={kernelName:Ki,backendName:"webgl",kernelFunc:vv};function Ra(r){let{inputs:e,backend:t}=r,{input:n}=e,o=t.texData.get(n.dataId);return jt({inputs:{x:o.complexTensorInfos.real},backend:t})}var A $ ={kernelName:Lc,backendName:"webgl",kernelFunc:Ra};var i7="return float(int(x));";function E $ (r,e){let t=new gn(r.shape,i7),n=e.runWebGLProgram(t,[r],"int32");return{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}function Cv(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{dtype:s}=n;if(s==="complex64"){if(o.dtype==="complex64")return jt({inputs:{x:o},backend:t});let a=ht(o.shape),i=Cv({inputs:{x:o},backend:t,attrs:{dtype:"float32"}}),l=xn({inputs:{real:i,imag:a},backend:t});return a.dispose(),t.disposeIntermediateTensorInfo(i),l}if(o.dtype==="complex64"){let a=Ra({inputs:{input:o},backend:t}),i=Cv({inputs:{x:a},backend:t,attrs:{dtype:s}});return t.disposeIntermediateTensorInfo(a),i}if(!y.hasEncodingLoss(o.dtype,s)){let a=jt({inputs:{x:o},backend:t});return{dataId:a.dataId,shape:a.shape,dtype:s}}if(s==="int32")return E $ (o,t);if(s==="bool"){let a=t.makeTensorInfo([],"bool",y.getTypedArrayFromDType("bool",1)),l=vv({inputs:{a:o,b:a},backend:t});return t.disposeIntermediateTensorInfo(a),l}throw new Error( ` Error in Cast : failed to cast $ { o . dtype } to $ { s } ` )}var D $ ={kernelName:qn,backendName:"webgl",kernelFunc:Cv};var $ $ ="return ceil(x);",a7=_e({opSnippet: $ $ ,packedOpSnippet: $ $ ,cpuKernelImpl:tD}),R $ ={kernelName:Io,backendName:"webgl",kernelFunc:a7};var Iv=class{constructor(e){this.variableNames=["A"],this.outputShape=e,this.userCode= `
uniform float minVal ;
uniform float maxVal ;
void main ( ) {
float value = getAAtOutCoords ( ) ;
if ( isnan ( value ) ) {
setOutput ( value ) ;
2021-04-19 22:19:03 +02:00
return ;
}
2021-04-28 14:58:21 +02:00
setOutput ( clamp ( value , minVal , maxVal ) ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }getCustomSetupFunc(e,t){return(n,o)=>{this.minLoc==null&&(this.minLoc=n.getUniformLocationNoThrow(o,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(o,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}};var Nv=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode= `
uniform float minVal ;
uniform float maxVal ;
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
void main ( ) {
vec4 value = getAAtOutCoords ( ) ;
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
if ( any ( isnan ( value ) ) ) {
setOutput ( value ) ;
return ;
2021-04-28 14:55:26 +02:00
}
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
setOutput ( clamp ( value , vec4 ( minVal ) , vec4 ( maxVal ) ) ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }getCustomSetupFunc(e,t){return(n,o)=>{this.minLoc==null&&(this.minLoc=n.getUniformLocationNoThrow(o,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(o,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}};function l7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{clipValueMin:s,clipValueMax:a}=n,i;W().getBool("WEBGL_PACK_CLIP")?i=new Nv(o.shape):i=new Iv(o.shape);let l=i.getCustomSetupFunc(s,a);return t.runWebGLProgram(i,[o],o.dtype,l)}var F $ ={kernelName:Kn,backendName:"webgl",kernelFunc:l7};var Sv=class{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode= `
void main ( ) {
float re = abs ( getRealAtOutCoords ( ) ) ;
float im = abs ( getImagAtOutCoords ( ) ) ;
float mx = max ( re , im ) ;
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
// sadly the length function in glsl is not underflow-safe
// (at least not on Intel GPUs). So the safe solution is
// to ensure underflow-safety in all cases.
setOutput (
mx == 0.0 ? 0.0 : mx * length ( vec2 ( 1 , min ( re , im ) / mx ) )
) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};function O $ (r,e){return{dataId:e.dataId,dtype:e.dtype,shape:r.shape}}function u7(r){let{inputs:e,backend:t}=r,{x:n}=e,o=t.texData.get(n.dataId),s=new Sv(n.shape),a=[O $ (n,o.complexTensorInfos.real),O $ (n,o.complexTensorInfos.imag)];return t.runWebGLProgram(s,a,a[0].dtype)}var P $ ={kernelName:Za,backendName:"webgl",kernelFunc:u7};var Tv=class{constructor(e){this.outputShape=[],this.outputShape=C.computeOutShape(e,1),this.variableNames=e.map((a,i)=> ` T$ { i } ` );let t=new Array(e.length-1);t[0]=e[0][1];for(let a=1;a<t.length;a++)t[a]=t[a-1]+e[a][1];let n=[ ` if ( yC < $ { t [ 0 ] } ) setOutput ( getT0 ( yR , yC ) ) ; ` ];for(let a=1;a<t.length;a++){let i=t[a-1];n.push( ` else if ( yC < $ { t [ a ] } ) setOutput ( getT$ { a } ( yR , yC - $ { i } ) ) ; ` )}let o=t.length,s=t[t.length-1];n.push( ` else setOutput ( getT$ { o } ( yR , yC - $ { s } ) ) ; ` ),this.userCode= `
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int yR = coords . x ;
int yC = coords . y ;
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
$ { n . join ( `
` )}
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var Av=class{constructor(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=C.computeOutShape(e,t);let n=this.outputShape,o=n.length,s=Ve(o),a=Wt("coords",o),i=["x","y","z","w","u","v"].slice(0,o);this.variableNames=e.map((h,g)=> ` T$ { g } ` );let l=new Array(e.length-1);l[0]=e[0][t];for(let h=1;h<l.length;h++)l[h]=l[h-1]+e[h][t];let u=i[t],c=i.slice(-2),p=i.join(),m= ` if ( $ { u } < $ { l [ 0 ] } ) {
return getChannel (
getT0 ( $ { p } ) , vec2 ( $ { c . join ( ) } ) ) ;
} ` ;for(let h=1;h<l.length;h++){let g=l[h-1];m+= `
if ( $ { u } < $ { l [ h ] } && $ { u } >= $ { l [ h - 1 ] } ) {
return getChannel (
getT$ { h } ( $ { xx ( i , u , g ) } ) ,
vec2 ( $ { xx ( c , u , g ) } ) ) ;
} ` }let f=l.length,d=l[l.length-1];m+= `
return getChannel (
getT$ { f } ( $ { xx ( i , u , d ) } ) ,
vec2 ( $ { xx ( c , u , d ) } ) ) ; ` ,this.userCode= `
float getValue ( $ { i . map ( h => "int " + h ) } ) {
$ { m }
2021-04-28 14:55:26 +02:00
}
2021-04-19 22:02:47 +02:00
2021-04-28 14:58:21 +02:00
void main ( ) {
$ { s } coords = getOutputCoords ( ) ;
vec4 result = vec4 ( getValue ( $ { a } ) , 0. , 0. , 0. ) ;
$ { a [ o - 1 ] } = $ { a [ o - 1 ] } + 1 ;
if ( $ { a [ o - 1 ] } < $ { n [ o - 1 ] } ) {
result . g = getValue ( $ { a } ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
$ { a [ o - 2 ] } = $ { a [ o - 2 ] } + 1 ;
if ( $ { a [ o - 2 ] } < $ { n [ o - 2 ] } ) {
result . a = getValue ( $ { a } ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
$ { a [ o - 1 ] } = $ { a [ o - 1 ] } - 1 ;
if ( $ { a [ o - 2 ] } < $ { n [ o - 2 ] } &&
$ { a [ o - 1 ] } < $ { n [ o - 1 ] } ) {
result . b = getValue ( $ { a } ) ;
2021-04-19 22:19:03 +02:00
}
2021-04-28 14:58:21 +02:00
setOutput ( result ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};function xx(r,e,t){let n=r.indexOf(e);return r.map((s,a)=>a===n? ` $ { s } - $ { t } ` :s).join()}function zu(r){let{inputs:e,backend:t}=r,{input:n}=e,o=t.texData.get(n.dataId);return jt({inputs:{x:o.complexTensorInfos.imag},backend:t})}var M $ ={kernelName:Dc,backendName:"webgl",kernelFunc:zu};function Bu(r,e,t){let n=r[0].dtype;if(n==="complex64"){let c=r.map(h=>Ra({inputs:{input:h},backend:t})),p=r.map(h=>zu({inputs:{input:h},backend:t})),m=Bu(c,e,t),f=Bu(p,e,t),d=xn({inputs:{real:m,imag:f},backend:t});return c.forEach(h=>t.disposeIntermediateTensorInfo(h)),p.forEach(h=>t.disposeIntermediateTensorInfo(h)),t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(f),d}let o=t.shouldExecuteOnCPU(r);if(n==="string"&&(o=!0),o){let c=r.map(x=>{let b=y.sizeFromShape(x.shape.slice(e));return ue({inputs:{x},backend:t,attrs:{shape:[-1,b]}})}),p=c.map(x=>({vals:t.readSync(x.dataId),shape:x.shape})),m=C.computeOutShape(c.map(x=>x.shape),1),f=c[0].shape[0]===1,d=rD(p,m,n,f),h=C.computeOutShape(r.map(x=>x.shape),e),g=t.makeTensorInfo(h,n,d);return c.forEach(x=>t.disposeIntermediateTensorInfo(x)),g}if(r.length>W().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){let c=Math.floor(r.length/2),p=Bu(r.slice(0,c),e,t),m=Bu(r.slice(c),e,t),f=Bu([p,m],e,t);return t.disposeIntermediateTensorInfo(p),t.disposeIntermediateTensorInfo(m),f}if(W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&r[0].shape.length>1){let c=new Av(r.map(p=>p.shape),e);return t.runWebGLProgram(c,r,n)}let{tensors2D:s,outShape:a}=c7(r,e,t),i=new Tv(s.map(c=>c.shape)),l=t.runWebGLProgram(i,s,n);s.forEach(c=>t.disposeIntermediateTensorInfo(c));let u=ue({inputs:{x:l},attrs:{shape:a},backend:t});return t.disposeIntermediateTensorInfo(l),u}function c7(r,e,t){let n=C.computeOutShape(r.map(s=>s.shape),e);return{tensors2D:r.map(s=>ue({inputs:{x:s},attrs:{shape:[-1,y.sizeFromShape(s.shape.slice(e))]},backend:t})),outShape:n}}function Ev(r){let{inputs:e,backend:t,attrs:n}=r,{axis:o}=n,s=y.parseAxisParam(o,e[0].shape)[0],a=C.computeOutShape(e.map(u=>u.shape),s);if(y.sizeFromShape(a)===0)return t.makeTensorInfo(a,e[0].dtype,[]);let i=e.filter(u=>y.sizeFromShape(u.shape)>0);if(i.length===1)return jt({inputs:{x:i[0]},backend:t});let l=i.map(u=>u.shape);return C.assertParamsConsistent(l,s),Bu(i,s,t)}var L $ ={kernelName:Bs,backendName:"webgl",kernelFunc:Ev};var Mf=class{constructor(e,t=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let a=e.padInfo.top,i=e.padInfo.left,l=e.strideHeight,u=e.strideWidth,c=e.dilationHeight,p=e.dilationWidth,m=e.filterHeight,f=e.filterWidth,d=Math.floor(e.inChannels/4)*4,h=e.inChannels%4,g=e.dataFormat==="channelsLast",x=g?1:2,b=g?2:3,w=g?3:1,_="",I="";n&&(o?_= ` float activation ( float a ) {
float b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
} ` :s?_= ` float activation ( float a ) {
float b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
} ` :_= `
float activation ( float x ) {
$ { n }
2021-04-19 22:19:03 +02:00
}
2021-04-28 14:58:21 +02:00
` ,I="result = activation(result);");let E=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),s&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
$ { _ }
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
const ivec2 strides = ivec2 ( $ { l } , $ { u } ) ;
const ivec2 pads = ivec2 ( $ { a } , $ { i } ) ;
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d2 = coords [ $ { w } ] ;
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
ivec2 xRCCorner =
ivec2 ( coords [ $ { x } ] , coords [ $ { b } ] ) * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
// Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { m } ; wR ++ ) {
int xR = xRCorner + wR * $ { c } ;
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
for ( int wC = 0 ; wC < $ { f } ; wC ++ ) {
int xC = xCCorner + wC * $ { p } ;
2021-04-19 22:02:47 +02:00
2021-04-28 14:58:21 +02:00
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
for ( int d1 = 0 ; d1 < $ { d } ; d1 += 4 ) {
vec4 wValues = vec4 (
getW ( wR , wC , d1 , d2 ) ,
getW ( wR , wC , d1 + 1 , d2 ) ,
getW ( wR , wC , d1 + 2 , d2 ) ,
getW ( wR , wC , d1 + 3 , d2 )
) ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
if ( $ { g } ) {
vec4 xValues = vec4 (
getX ( batch , xR , xC , d1 ) ,
getX ( batch , xR , xC , d1 + 1 ) ,
getX ( batch , xR , xC , d1 + 2 ) ,
getX ( batch , xR , xC , d1 + 3 )
) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec4 xValues = vec4 (
getX ( batch , d1 , xR , xC ) ,
getX ( batch , d1 + 1 , xR , xC ) ,
getX ( batch , d1 + 2 , xR , xC ) ,
getX ( batch , d1 + 3 , xR , xC )
) ;
dotProd += dot ( xValues , wValues ) ;
}
}
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
if ( $ { h === 1 } ) {
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
if ( $ { g } ) {
dotProd +=
getX ( batch , xR , xC , $ { d } ) *
getW ( wR , wC , $ { d } , d2 ) ;
} else {
dotProd +=
getX ( batch , $ { d } , xR , xC ) *
getW ( wR , wC , $ { d } , d2 ) ;
}
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
} else if ( $ { h === 2 } ) {
vec2 wValues = vec2 (
getW ( wR , wC , $ { d } , d2 ) ,
getW ( wR , wC , $ { d } + 1 , d2 )
) ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
if ( $ { g } ) {
vec2 xValues = vec2 (
getX ( batch , xR , xC , $ { d } ) ,
getX ( batch , xR , xC , $ { d } + 1 )
) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec2 xValues = vec2 (
getX ( batch , $ { d } , xR , xC ) ,
getX ( batch , $ { d } + 1 , xR , xC )
) ;
dotProd += dot ( xValues , wValues ) ;
}
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
} else if ( $ { h === 3 } ) {
vec3 wValues = vec3 (
getW ( wR , wC , $ { d } , d2 ) ,
getW ( wR , wC , $ { d } + 1 , d2 ) ,
getW ( wR , wC , $ { d } + 2 , d2 )
) ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
if ( $ { g } ) {
vec3 xValues = vec3 (
getX ( batch , xR , xC , $ { d } ) ,
getX ( batch , xR , xC , $ { d } + 1 ) ,
getX ( batch , xR , xC , $ { d } + 2 )
) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec3 xValues = vec3 (
getX ( batch , $ { d } , xR , xC ) ,
getX ( batch , $ { d } + 1 , xR , xC ) ,
getX ( batch , $ { d } + 2 , xR , xC )
) ;
dotProd += dot ( xValues , wValues ) ;
}
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
}
}
}
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
float result = dotProd ;
$ { E }
$ { I }
setOutput ( result ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }},Dv=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,n=e.padInfo.top,o=e.padInfo.left,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,l=e.dilationDepth,u=e.dilationHeight,c=e.dilationWidth,p=e.filterDepth,m=e.filterHeight,f=e.filterWidth,d=Math.floor(e.inChannels/4)*4,h=e.inChannels%4;this.userCode= `
const ivec3 strides = ivec3 ( $ { s } , $ { a } , $ { i } ) ;
const ivec3 pads = ivec3 ( $ { t } , $ { n } , $ { o } ) ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int d2 = coords . u ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
ivec3 xFRCCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xFCorner = xFRCCorner . x ;
int xRCorner = xFRCCorner . y ;
int xCCorner = xFRCCorner . z ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
// Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get
// y(yF, yR, yC, d2). ? = to be determined. : = across all
// values in that axis.
float dotProd = 0.0 ;
for ( int wF = 0 ; wF < $ { p } ; wF ++ ) {
int xF = xFCorner + wF * $ { l } ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
if ( xF < 0 || xF >= $ { e . inDepth } ) {
continue ;
}
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
for ( int wR = 0 ; wR < $ { m } ; wR ++ ) {
int xR = xRCorner + wR * $ { u } ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
for ( int wC = 0 ; wC < $ { f } ; wC ++ ) {
int xC = xCCorner + wC * $ { c } ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
for ( int d1 = 0 ; d1 < $ { d } ; d1 += 4 ) {
vec4 xValues = vec4 (
getX ( batch , xF , xR , xC , d1 ) ,
getX ( batch , xF , xR , xC , d1 + 1 ) ,
getX ( batch , xF , xR , xC , d1 + 2 ) ,
getX ( batch , xF , xR , xC , d1 + 3 )
) ;
vec4 wValues = vec4 (
getW ( wF , wR , wC , d1 , d2 ) ,
getW ( wF , wR , wC , d1 + 1 , d2 ) ,
getW ( wF , wR , wC , d1 + 2 , d2 ) ,
getW ( wF , wR , wC , d1 + 3 , d2 )
) ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
dotProd += dot ( xValues , wValues ) ;
}
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
if ( $ { h === 1 } ) {
dotProd +=
getX ( batch , xF , xR , xC , $ { d } ) *
getW ( wF , wR , wC , $ { d } , d2 ) ;
} else if ( $ { h === 2 } ) {
vec2 xValues = vec2 (
getX ( batch , xF , xR , xC , $ { d } ) ,
getX ( batch , xF , xR , xC , $ { d } + 1 )
) ;
vec2 wValues = vec2 (
getW ( wF , wR , wC , $ { d } , d2 ) ,
getW ( wF , wR , wC , $ { d } + 1 , d2 )
) ;
dotProd += dot ( xValues , wValues ) ;
} else if ( $ { h === 3 } ) {
vec3 xValues = vec3 (
getX ( batch , xF , xR , xC , $ { d } ) ,
getX ( batch , xF , xR , xC , $ { d } + 1 ) ,
getX ( batch , xF , xR , xC , $ { d } + 2 )
) ;
vec3 wValues = vec3 (
getW ( wF , wR , wC , $ { d } , d2 ) ,
getW ( wF , wR , wC , $ { d } + 1 , d2 ) ,
getW ( wF , wR , wC , $ { d } + 2 , d2 )
) ;
dotProd += dot ( xValues , wValues ) ;
}
}
}
}
setOutput ( dotProd ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var $ v=class{constructor(e,t,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let{filterWidth:o,inChannels:s,strideWidth:a,strideHeight:i,padInfo:l,outWidth:u,dilationWidth:c,dilationHeight:p,dataFormat:m}=n,{left:f,top:d}=l,h=s*o,g=Ot(),x=m==="channelsLast",b=x?0:1,w=x?1:2,_="";for(let I=0;I<=1;I++)for(let E=0;E<=1;E++)_+= `
blockIndex = rc . y + $ { E } ;
pos = rc . x + $ { I } ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
if ( blockIndex < $ { e [ 1 ] } && pos < $ { e [ 0 ] } ) {
offsetY = int ( blockIndex / ( $ { u } ) ) * $ { i } - $ { d } ;
d0 = offsetY + $ { p } * ( pos / $ { h } ) ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
if ( d0 < $ { t [ b ] } && d0 >= 0 ) {
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
offsetX = int ( mod ( float ( blockIndex ) , $ { u } . ) * $ { a } . - $ { f } . ) ;
d1 = offsetX + $ { c } * ( int ( mod ( float ( pos ) , $ { h } . ) / $ { s } . ) ) ;
if ( d1 < $ { t [ w ] } && d1 >= 0 ) {
ch = int ( mod ( float ( pos ) , $ { s } . ) ) ;
if ( $ { x } ) {
innerDims = vec2 ( d1 , ch ) ;
result [ $ { I * 2 + E } ] = getChannel (
getA ( d0 , int ( innerDims . x ) ,
int ( innerDims . y ) ) , innerDims ) ;
} else {
innerDims = vec2 ( d0 , d1 ) ;
result [ $ { I * 2 + E } ] = getChannel (
getA ( ch , int ( innerDims . x ) ,
int ( innerDims . y ) ) , innerDims ) ;
}
}
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
}
` ;this.userCode= `
void main ( ) {
ivec2 rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0 ) ;
int blockIndex , pos , offsetY , d0 , offsetX , d1 , ch ;
vec2 innerDims ;
$ { _ }
$ { g . output } = result ;
}
` }};function yx({x:r,filter:e,convInfo:t,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let l=r.shape,u=n.texData.get(r.dataId),c=t.inChannels,p=l[0]*l[1]*l[2],m=t.outChannels,f=t.dataFormat==="channelsLast",d=!1,h=!1,g,x=[],b=(p===1||m===1)&&c>pv,w=l[2]%2!=0&&!!u.isPacked;if(b||!W().getBool("WEBGL_LAZILY_UNPACK")||!W().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!w){let _=f?l[0]*l[1]*l[2]:l[0]*l[2]*l[3],I=ue({inputs:{x:r},backend:n,attrs:{shape:[1,_,t.inChannels]}}),E=ue({inputs:{x:e},backend:n,attrs:{shape:[1,t.inChannels,t.outChannels]}}), $ =Mu({a:I,b:E,transposeA:d,transposeB:h,backend:n,bias:o,activation:i,preluActivationWeights:s,leakyreluAlpha:a});g=ue({inputs:{x: $ },backend:n,attrs:{shape:t.outShape}}),x.push(I),x.push(E),x.push( $ )}else{let _=f?l[0]*l[1]*(l[2]+1):l[0]*l[2]*(l[3]+1),I={dataId:r.dataId,shape:[1,_,t.inChannels],dtype:r.dtype},E=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,y.assert(bl(u.shape,I.shape),()=> ` packed reshape $ { u . shape } to $ { I . shape } isn ' t free ` );let $ =ue({inputs:{x:e},backend:n,attrs:{shape:[1,t.inChannels,t.outChannels]}});x.push( $ );let D=Mu({a:I,b: $ ,backend:n,transposeA:d,transposeB:h,bias:o,activation:i,preluActivationWeights:s,leakyreluAlpha:a}),O=n.texData.get(D.dataId);y.assert(O.isPacked,()=>"batchMatMul result is expected to be packed"),u.shape=E,O.shape=t.outShape,g=jt({inputs:{x:D},backend:n}),g.shape=t.outShape,x.push(D)}for(let _ of x)n.disposeIntermediateTensorInfo(_);return g}function bx({x:r,filter:e,convInfo:t,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let{filterWidth:l,filterHeight:u,inChannels:c,outWidth:p,outHeight:m,dataFormat:f}=t,d=f==="channelsLast",h=l*u*c,g=m*p,x=[h,g],b=!0,w=!1,_=[],I=ue({inputs:{x:r},backend:n,attrs:{shape:r.shape.slice(1)}}),E=ue({inputs:{x:e},backend:n,attrs:{shape:[1,h,y.sizeFromShape(e.shape)/h]}});_.push(I),_.push(E);let $ =new $ v(x,I.shape,t),D=n.runWebGLProgram( $ ,[I],"float32"),O=ue({inputs:{x:D},backend:n,attrs:{shape:[1,x[0],x[1]]}});_.push(D),_.push(O);let M=o!=null,G=s!=null,j=i==="leakyrelu",U=i?_l(i,!0):null,H=new Of(O.shape,E.shape,[1,g,t.outChannels],b,w,M,U,G,j),q=[O,E];if(o&&q.push(o),G&&q.push(s),j){let re=n.makeTensorInfo([],"float32",y.createScalarValue(a,"float32"));q.push(re),_.push(re)}let X=n.runWebGLProgram(H,q,"float32"),ne=d?[1,m,p,t.outChannels]:[1,t.outChannels,m,p],Y=ue({inputs:{x:X},backend:n,attrs:{shape:ne}});_.push(X);for(let re of _)n.disposeIntermediateTensorInfo(re);return Y}function p7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,filter:s}=e,{strides:a,pad:i,dataFormat:l,dilations:u,dimRoundingMode:c}=n,p=C.convertConv2DDataFormat(l),m=C.computeConv2DInfo(o.shape,s.shape,a,u,i,c,!1,p),f;if(m.filterHeight===1&&m.filterWidth===1&&m.dilationHeight===1&&m.dilationWidth===1&&m.strideHeight===1&&m.strideWidth===1&&(m.padInfo.type==="SAME"||m.padInfo.type==="VALID"))f=yx({x:o,filter:s,convInfo:m,backend:t});else if(W().getBool("WEBGL_CONV_IM2COL")&&o.shape[0]===1)f=bx({x:o,filter:s,convInfo:m,backend:t});else{let h=new Mf(m);f=t.runWebGLProgram(h,[o,s],"float32")}let d=ue({inputs:{x:f},backend:t,attrs:{shape:m.outShape}});return t.disposeIntermediateTensorInfo(f),d}var z $ ={kernelName:No,backendName:"webgl",kernelFunc:p7};var Rv=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,o=e.padInfo.top,s=e.padInfo.left,a=e.dataFormat==="channelsLast";this.userCode= `
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int wR = coords . x ;
int wC = coords . y ;
int d1 = coords . z ;
int d2 = coords . w ;
// Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int b = 0 ; b < $ { e . batchSize } ; b ++ ) {
for ( int yR = 0 ; yR < $ { e . outHeight } ; yR ++ ) {
int xR = wR + yR * $ { t } - $ { o } ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
for ( int yC = 0 ; yC < $ { e . outWidth } ; yC ++ ) {
int xC = wC + yC * $ { n } - $ { s } ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
if ( $ { a } ) {
float dyValue = getDy ( b , yR , yC , d2 ) ;
float xValue = getX ( b , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
} else {
float dyValue = getDy ( b , d2 , yR , yC ) ;
float xValue = getX ( b , d1 , xR , xC ) ;
dotProd += ( xValue * dyValue ) ;
}
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
}
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
setOutput ( dotProd ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }},Fv=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,o=e.strideHeight,s=e.strideWidth,a=e.dataFormat==="channelsLast",i=t-1-e.padInfo.top,l=n-1-e.padInfo.left,u=a?1:2,c=a?2:3,p=a?3:1;this.userCode= `
const ivec2 pads = ivec2 ( $ { i } , $ { l } ) ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d1 = coords [ $ { p } ] ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
ivec2 dyCorner = ivec2 ( coords [ $ { u } ] , coords [ $ { c } ] ) - pads ;
int dyRCorner = dyCorner . x ;
int dyCCorner = dyCorner . y ;
// Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { t } ; wR ++ ) {
float dyR = float ( dyRCorner + wR ) / $ { o } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
int wRPerm = $ { t } - 1 - wR ;
for ( int wC = 0 ; wC < $ { n } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { s } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
int wCPerm = $ { n } - 1 - wC ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
for ( int d2 = 0 ; d2 < $ { e . outChannels } ; d2 ++ ) {
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
if ( $ { a } ) {
float xValue = getDy ( batch , idyR , idyC , d2 ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
} else {
float xValue = getDy ( batch , d2 , idyR , idyC ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
}
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
}
}
}
setOutput ( dotProd ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }},Ov=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,n=e.strideHeight,o=e.strideWidth,s=e.padInfo.front,a=e.padInfo.top,i=e.padInfo.left;this.userCode= `
void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int wF = coords . x ;
int wR = coords . y ;
int wC = coords . z ;
int d1 = coords . w ;
int d2 = coords . u ;
float dotProd = 0.0 ;
for ( int b = 0 ; b < $ { e . batchSize } ; b ++ ) {
for ( int yF = 0 ; yF < $ { e . outDepth } ; yF ++ ) {
int xF = wF + yF * $ { t } - $ { s } ;
if ( xF < 0 || xF >= $ { e . inDepth } ) {
continue ;
}
for ( int yR = 0 ; yR < $ { e . outHeight } ; yR ++ ) {
int xR = wR + yR * $ { n } - $ { a } ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
for ( int yC = 0 ; yC < $ { e . outWidth } ; yC ++ ) {
int xC = wC + yC * $ { o } - $ { i } ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
float dyValue = getDy ( b , yF , yR , yC , d2 ) ;
float xValue = getX ( b , xF , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
}
}
}
}
setOutput ( dotProd ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }},Pv=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,o=e.filterWidth,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,l=t-1-e.padInfo.front,u=n-1-e.padInfo.top,c=o-1-e.padInfo.left;this.userCode= `
const ivec3 pads = ivec3 ( $ { l } , $ { u } , $ { c } ) ;
void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int d1 = coords . u ;
ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
int dyFCorner = dyCorner . x ;
int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
float dotProd = 0.0 ;
for ( int wF = 0 ; wF < $ { t } ; wF ++ ) {
float dyF = float ( dyFCorner + wF ) / $ { s } . 0 ;
if ( dyF < 0.0 || dyF >= $ { e . outDepth } . 0 || fract ( dyF ) > 0.0 ) {
continue ;
}
int idyF = int ( dyF ) ;
int wFPerm = $ { t } - 1 - wF ;
for ( int wR = 0 ; wR < $ { n } ; wR ++ ) {
float dyR = float ( dyRCorner + wR ) / $ { a } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
int wRPerm = $ { n } - 1 - wR ;
for ( int wC = 0 ; wC < $ { o } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { i } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
int wCPerm = $ { o } - 1 - wC ;
for ( int d2 = 0 ; d2 < $ { e . outChannels } ; d2 ++ ) {
float xValue = getDy ( batch , idyF , idyR , idyC , d2 ) ;
float wValue = getW ( wFPerm , wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
}
}
}
}
setOutput ( dotProd ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};function m7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,dy:s}=e,{strides:a,pad:i,dataFormat:l,dimRoundingMode:u,filterShape:c}=n,p=C.convertConv2DDataFormat(l),m=C.computeConv2DInfo(o.shape,c,a,1,i,u,!1,p),f=new Rv(m);return t.runWebGLProgram(f,[o,s],"float32")}var B $ ={kernelName:wc,backendName:"webgl",kernelFunc:m7};function f7(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,filter:s}=e,{inputShape:a,strides:i,pad:l,dataFormat:u,dimRoundingMode:c}=n,p=C.convertConv2DDataFormat(u),m=C.computeConv2DInfo(a,s.shape,i,1,l,c,!1,p),f=new Fv(m);return t.runWebGLProgram(f,[o,s],"float32")}var V $ ={kernelName:So,backendName:"webgl",kernelFunc:f7};function d7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,filter:s}=e,{strides:a,pad:i,dilations:l}=n,u=C.computeConv3DInfo(o.shape,s.shape,a,l,i),c=new Dv(u);return t.runWebGLProgram(c,[o,s],"float32")}var G $ ={kernelName:Ja,backendName:"webgl",kernelFunc:d7};function h7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,dy:s}=e,{strides:a,pad:i,filterShape:l}=n,u=C.computeConv3DInfo(o.shape,l,a,1,i),c=new Ov(u);return t.runWebGLProgram(c,[o,s],"float32")}var W $ ={kernelName:_c,backendName:"webgl",kernelFunc:h7};function g7(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,filter:s}=e,{pad:a,strides:i,inputShape:l}=n,u=C.computeConv3DInfo(l,s.shape,i,1,a),c=new Pv(u);return t.runWebGLProgram(c,[o,s],"float32")}var j $ ={kernelName:kc,backendName:"webgl",kernelFunc:g7};var x7=mx+ `
return cos ( x ) ;
` ,y7=_e({opSnippet:x7}),U $ ={kernelName:To,backendName:"webgl",kernelFunc:y7};var b7= `
float e2x = exp ( - x ) ;
return ( e2x + 1.0 / e2x ) / 2.0 ;
` ,w7=_e({opSnippet:b7}),H $ ={kernelName:Ei,backendName:"webgl",kernelFunc:w7};var Mv=class{constructor(e,t,n,o,s){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[a,i,l,u]=e,[c]=t,[p,m]=n;this.outputShape=[c,p,m,u];let f=o==="bilinear"?1:0,[d,h]=[ ` $ { i - 1 } . 0 ` , ` $ { l - 1 } . 0 ` ],[g,x,b]=p>1?[ ` $ { ( i - 1 ) / ( p - 1 ) } ` ,"(y2-y1) * height_ratio", ` y1 * $ { d } + float ( y ) * ( height _scale ) ` ]:["0.0","0.0", ` 0.5 * ( y1 + y2 ) * $ { d } ` ],[w,_,I]=m>1?[ ` $ { ( l - 1 ) / ( m - 1 ) } ` ,"(x2-x1) * width_ratio", ` x1 * $ { h } + float ( x ) * ( width _scale ) ` ]:["0.0","0.0", ` 0.5 * ( x1 + x2 ) * $ { h } ` ];this.userCode= `
const float height _ratio = float ( $ { g } ) ;
const float width _ratio = float ( $ { w } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int y = coords [ 1 ] ;
int x = coords [ 2 ] ;
int d = coords [ 3 ] ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
// get box vals
float y1 = getBoxes ( b , 0 ) ;
float x1 = getBoxes ( b , 1 ) ;
float y2 = getBoxes ( b , 2 ) ;
float x2 = getBoxes ( b , 3 ) ;
// get image in batch index
int bInd = round ( getBoxInd ( b ) ) ;
if ( bInd < 0 || bInd >= $ { a } ) {
return ;
}
float height _scale = $ { x } ;
float width _scale = $ { _ } ;
float in _y = $ { b } ;
if ( in _y < 0.0 || in _y > $ { d } ) {
setOutput ( float ( $ { s } ) ) ;
return ;
}
float in _x = $ { I } ;
if ( in _x < 0.0 || in _x > $ { h } ) {
setOutput ( float ( $ { s } ) ) ;
return ;
}
vec2 sourceFracIndexCR = vec2 ( in _x , in _y ) ;
if ( $ { f } == 1 ) {
// Compute the four integer indices.
ivec2 sourceFloorCR = ivec2 ( sourceFracIndexCR ) ;
ivec2 sourceCeilCR = ivec2 ( ceil ( sourceFracIndexCR ) ) ;
float topLeft = getImage ( b , sourceFloorCR . y , sourceFloorCR . x , d ) ;
float bottomLeft = getImage ( b , sourceCeilCR . y , sourceFloorCR . x , d ) ;
float topRight = getImage ( b , sourceFloorCR . y , sourceCeilCR . x , d ) ;
float bottomRight = getImage ( b , sourceCeilCR . y , sourceCeilCR . x , d ) ;
vec2 fracCR = sourceFracIndexCR - vec2 ( sourceFloorCR ) ;
float top = topLeft + ( topRight - topLeft ) * fracCR . x ;
float bottom = bottomLeft + ( bottomRight - bottomLeft ) * fracCR . x ;
float newValue = top + ( bottom - top ) * fracCR . y ;
setOutput ( newValue ) ;
} else {
// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestCR = ivec2 ( floor (
sourceFracIndexCR + vec2 ( 0.5 , 0.5 ) ) ) ;
float newValue = getImage ( b , sourceNearestCR . y , sourceNearestCR . x , d ) ;
setOutput ( newValue ) ;
2021-04-28 14:55:26 +02:00
}
}
2021-04-28 14:58:21 +02:00
` }};var _7=r=>{let{inputs:e,backend:t,attrs:n}=r,{image:o,boxes:s,boxInd:a}=e,{cropSize:i,method:l,extrapolationValue:u}=n,c=new Mv(o.shape,s.shape,i,l,u);return t.runWebGLProgram(c,[o,s,a],"float32")},q $ ={kernelName:Di,backendName:"webgl",kernelFunc:_7};var wx=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=e;let o=e.length,s=t?"0.0": ` getX ( $ { K$ ( o , "coords" ) } ) ` ,a=e[e.length-1],i="",l="";t?(i=n? ` end != $ { a - 1 } ` :"end != 0",l=n?"end + 1":"end - 1"):(i=n? ` end + pow2 < $ { a } ` :"end >= pow2",l=n?"end + pow2":"end - pow2"),this.userCode= `
uniform float index ;
void main ( ) {
$ { Ve ( o ) } coords = getOutputCoords ( ) ;
int end = $ { X$ ( o , "coords" ) } ;
float val = $ { s } ;
int pow2 = int ( pow ( 2.0 , index ) ) ;
if ( $ { i } ) {
int idx = $ { l } ;
$ { X$ ( o , "coords" ) } = idx ;
val += getX ( $ { K$ ( o , "coords" ) } ) ;
}
setOutput ( val ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }getCustomSetupFunc(e){return(t,n)=>{this.index==null&&(this.index=t.getUniformLocation(n,"index")),t.gl.uniform1f(this.index,e)}}};function K $ (r,e){if(r===1)return ` $ { e } ` ;if(r===2)return ` $ { e } . x , $ { e } . y ` ;if(r===3)return ` $ { e } . x , $ { e } . y , $ { e } . z ` ;if(r===4)return ` $ { e } . x , $ { e } . y , $ { e } . z , $ { e } . w ` ;throw Error( ` Cumulative sum for rank $ { r } is not yet supported ` )}function X $ (r,e){if(r===1)return ` $ { e } ` ;if(r===2)return ` $ { e } . y ` ;if(r===3)return ` $ { e } . z ` ;if(r===4)return ` $ { e } . w ` ;throw Error( ` Cumulative sum for rank $ { r } is not yet supported ` )}function k7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s,exclusive:a,reverse:i}=n,l=o.shape.length,u=C.getAxesPermutation([s],l),c=o;u!=null&&(c= $ t({inputs:{x:o},backend:t,attrs:{perm:u}}));let p=C.getInnerMostAxes(1,l)[0];if(p!==l-1)throw new Error( ` WebGL cumsum shader expects an inner - most axis = $ { o . shape . length - 1 } but got axis = $ { s } ` );let m=c.shape[p],f=jt({inputs:{x:c},backend:t});for(let d=0;d<=Math.ceil(Math.log2(m))-1;d++){let h=new wx(c.shape,!1,i),g=h.getCustomSetupFunc(d),x=f;f=t.runWebGLProgram(h,[f],f.dtype,g),t.disposeIntermediateTensorInfo(x)}if(a){let d=new wx(c.shape,a,i),h=f;f=t.runWebGLProgram(d,[f],f.dtype),t.disposeIntermediateTensorInfo(h)}if(u!=null){let d=C.getUndoAxesPermutation(u),h= $ t({inputs:{x:f},backend:t,attrs:{perm:d}});return t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(c),h}return f}var Y $ ={kernelName:Ao,backendName:"webgl",kernelFunc:k7};function v7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,weights:s}=e,{size:a,binaryOutput:i}=n;if(o.shape.length===1){let l=t.readSync(o.dataId),u=t.readSync(s.dataId),c=lx(l,u,s.dtype,s.shape,a);return t.makeTensorInfo([a],s.dtype,c)}else if(o.shape.length===2){let l=t.bufferSync(o),u=t.bufferSync(s),c=eD(l,u,a,i);return t.makeTensorInfo(c.shape,s.dtype,c.values)}throw new Error( ` Error in denseBincount : input must be at most rank 2 , but got rank$ { o . shape . length } . ` )}var Z $ ={kernelName:vc,backendName:"webgl",kernelFunc:v7};var Lv=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode= `
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int h = $ { this . getHeightCoordString ( ) } ;
int w = $ { this . getWidthCoordString ( ) } ;
int d = $ { this . getDepthCoordString ( ) } ;
int in _h = h / $ { t } ;
int offset _h = imod ( h , $ { t } ) ;
int in _w = w / $ { t } ;
int offset _w = imod ( w , $ { t } ) ;
int offset _d = ( offset _h * $ { t } + offset _w ) *
$ { this . getOutputDepthSize ( ) } ;
int in _d = d + offset _d ;
float result = $ { this . getInputSamplingString ( ) } ;
setOutput ( result ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function C7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{blockSize:s,dataFormat:a}=n;y.assert(s>1,()=> ` blockSize should be > 1 for depthToSpace , but was : $ { s } ` );let i=o.shape[0],l=a==="NHWC"?o.shape[1]:o.shape[2],u=a==="NHWC"?o.shape[2]:o.shape[3],c=a==="NHWC"?o.shape[3]:o.shape[1],p=l*s,m=u*s,f=c/(s*s),d=a==="NHWC"?[i,p,m,f]:[i,f,p,m],h=new Lv(d,s,a);return t.runWebGLProgram(h,[o],o.dtype)}var J $ ={kernelName: $ i,backendName:"webgl",kernelFunc:C7};var Lf=class{constructor(e,t=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let a=e.inHeight,i=e.inWidth,l=e.padInfo.top,u=e.padInfo.left,c=e.strideHeight,p=e.strideWidth,m=e.dilationHeight,f=e.dilationWidth,d=e.filterHeight,h=e.filterWidth,g=e.outChannels/e.inChannels,x="",b="";n&&(o?x= ` float activation ( float a ) {
float b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
} ` :s?x= ` float activation ( float a ) {
float b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
} ` :x= `
float activation ( float x ) {
$ { n }
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` ,b="result = activation(result);");let w=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),s&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
$ { x }
const ivec2 strides = ivec2 ( $ { c } , $ { p } ) ;
const ivec2 pads = ivec2 ( $ { l } , $ { u } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords . x ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int d2 = coords . w ;
int d1 = d2 / $ { g } ;
int q = d2 - d1 * $ { g } ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
// Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
// TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.
for ( int wR = 0 ; wR < $ { d } ; wR ++ ) {
int xR = xRCorner + wR * $ { m } ;
if ( xR < 0 || xR >= $ { a } ) {
continue ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
for ( int wC = 0 ; wC < $ { h } ; wC ++ ) {
int xC = xCCorner + wC * $ { f } ;
if ( xC < 0 || xC >= $ { i } ) {
continue ;
}
float xVal = getX ( batch , xR , xC , d1 ) ;
float wVal = getW ( wR , wC , d1 , q ) ;
dotProd += xVal * wVal ;
}
}
float result = dotProd ;
$ { w }
$ { b }
setOutput ( result ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var zf=class{constructor(e,t=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.outShape;let a=e.outChannels/e.inChannels,i=e.inHeight,l=e.inWidth,u=e.padInfo.top,c=e.padInfo.left,p=e.strideHeight,m=e.strideWidth,f=e.dilationHeight,d=e.dilationWidth,h=e.filterHeight,g=e.filterWidth,x=g,b= `
int xR ; int xC ; int xCOffset ;
vec4 wTexel ; vec4 previous ; vec4 final ; ` ;for(let E=0;E<g;E++)b+= `
vec4 xTexelC$ { E * 2 } ;
vec4 xC$ { E } ; ` ;for(let E=0;E<h;E++){for(let $ =0; $ <g; $ ++)b+= `
xTexelC$ { $ * 2 } = vec4 ( 0.0 ) ;
xC$ { $ } = vec4 ( 0.0 ) ; ` ;b+= `
xR = xRCorner + $ { E * f } ;
if ( xR >= 0 && xR < $ { i } ) {
` ;for(let $ =0; $ <x/2+1; $ ++){let D= $ *2;if(b+= `
xC = xCCorner + $ { D * d } ;
` ,m===1){if(D<g&&(c%2==1?(b+= `
xCOffset = xC + 1 ;
if ( xCOffset >= 0 && xCOffset < $ { l } ) {
xTexelC$ { D } = getX ( batch , xR , xCOffset , d1 ) ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= $ { l } ) {
xTexelC$ { D } . zw = vec2 ( 0.0 ) ;
}
}
` ,d===1&&D>0?b+= `
xC$ { D } = vec4 ( xTexelC$ { D - 2 } . zw , xTexelC$ { D } . xy ) ;
` :b+= `
xCOffset = xC + 1 - 2 ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
if ( xCOffset >= 0 && xCOffset < $ { l } ) {
previous = getX ( batch , xR , xCOffset , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= $ { l } ) {
previous . zw = vec2 ( 0.0 ) ;
}
xC$ { D } = vec4 ( previous . zw , xTexelC$ { D } . xy ) ;
} else {
xC$ { D } = vec4 ( 0.0 , 0.0 , xTexelC$ { D } . xy ) ;
}
` ):b+= `
if ( xC >= 0 && xC < $ { l } ) {
xTexelC$ { D } = getX ( batch , xR , xC , d1 ) ;
if ( xC + 1 >= $ { l } ) {
xTexelC$ { D } . zw = vec2 ( 0.0 ) ;
}
}
xC$ { D } = xTexelC$ { D } ;
` ,D+1<g)){let O=c%2==0?y.nearestLargerEven(d):d;d%2==0&&c%2==1||d%2!=0&&c%2!=1?(b+= `
xCOffset = xC + $ { c % 2 } + $ { O } ;
if ( xCOffset >= 0 && xCOffset < $ { l } ) {
xTexelC$ { D + 2 } = getX ( batch , xR , xCOffset , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= $ { l } ) {
xTexelC$ { D + 2 } . zw = vec2 ( 0.0 ) ;
}
}
` ,d>1&&(b+= `
xCOffset -= 2 ;
if ( xCOffset >= 0 && xCOffset < $ { l } ) {
xTexelC$ { D } = getX ( batch , xR , xCOffset , d1 ) ;
}
` ),b+= `
xC$ { D + 1 } = vec4 ( xTexelC$ { D } . zw , xTexelC$ { D + 2 } . xy ) ;
` ):O===1?b+= `
xC$ { D + 1 } = xTexelC$ { D } ;
` :b+= `
xCOffset = xC + $ { O } ;
if ( xCOffset >= 0 && xCOffset < $ { l } ) {
xTexelC$ { D + 2 } = getX ( batch , xR , xCOffset , d1 ) ;
if ( xCOffset + 1 >= $ { l } ) {
xTexelC$ { D + 2 } . zw = vec2 ( 0.0 ) ;
}
}
xC$ { D + 1 } = xTexelC$ { D + 2 } ;
` }}else D<g&&(c%2==1?(b+= `
xCOffset = xC + 1 - $ { m } ;
if ( xCOffset >= 0 && xCOffset < $ { l } ) {
xTexelC$ { D } = getX ( batch , xR , xCOffset , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= $ { l } ) {
xTexelC$ { D } . zw = vec2 ( 0.0 ) ;
}
}
if ( xC + 1 >= 0 && xC + 1 < $ { l } ) {
xTexelC$ { D + 2 } = getX ( batch , xR , xC + 1 , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xC + 2 >= $ { l } ) {
xTexelC$ { D + 2 } . zw = vec2 ( 0.0 ) ;
}
}
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
xC$ { D } = vec4 ( xTexelC$ { D } . zw , xTexelC$ { D + 2 } . zw ) ;
` ,D+1<g&&(b+= `
final = vec4 ( 0.0 ) ;
xCOffset = xC + 1 + $ { m } ;
if ( xCOffset >= 0 && xCOffset < $ { l } ) {
final = getX ( batch , xR , xCOffset , d1 ) ;
}
xC$ { D + 1 } = vec4 ( xTexelC$ { D + 2 } . xy , final . xy ) ;
` )):(b+= `
if ( xC >= 0 && xC < $ { l } ) {
xTexelC$ { D } = getX ( batch , xR , xC , d1 ) ;
if ( xC + 1 >= $ { l } ) {
xTexelC$ { D } . zw = vec2 ( 0.0 ) ;
}
}
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
xCOffset = xC + $ { m } ;
if ( xCOffset >= 0 && xCOffset < $ { l } ) {
xTexelC$ { D + 2 } = getX ( batch , xR , xCOffset , d1 ) ;
if ( xCOffset + 1 >= $ { l } ) {
xTexelC$ { D + 2 } . zw = vec2 ( 0. ) ;
}
}
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
xC$ { D } = vec4 (
xTexelC$ { D } . xy , xTexelC$ { D + 2 } . xy ) ;
` ,D+1<g&&(b+= `
xC$ { D + 1 } = vec4 ( xTexelC$ { D } . zw , xTexelC$ { D + 2 } . zw ) ;
` )));D<g&&(b+= `
wTexel = getW ( $ { E } , $ { D } , d1 , q ) ;
dotProd += xC$ { D } * vec4 ( wTexel . xz , wTexel . xz ) ;
` ,D+1<g&&(b+= `
wTexel = getW ( $ { E } , $ { D + 1 } , d1 , q ) ;
dotProd += xC$ { D + 1 } * vec4 ( wTexel . xz , wTexel . xz ) ;
` ))}b+= `
}
` }let w="",_="";n&&(o?w= ` vec4 activation ( vec4 a ) {
vec4 b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
} ` :s?w= ` vec4 activation ( vec4 a ) {
vec4 b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
} ` :w= ` vec4 activation ( vec4 x ) {
$ { n }
} ` ,_="result = activation(result);");let I=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),s&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
$ { w }
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
const ivec2 strides = ivec2 ( $ { p } , $ { m } ) ;
const ivec2 pads = ivec2 ( $ { u } , $ { c } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords . x ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int d2 = coords . w ;
int d1 = d2 / $ { a } ;
int q = d2 - d1 * $ { a } ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
//intialize dotProd with a small epsilon seems to reduce GPU accuracy loss.
vec4 dotProd = vec4 ( 0.000000000000001 ) ;
$ { b }
vec4 result = dotProd - vec4 ( 0.000000000000001 ) ;
$ { I }
$ { _ }
setOutput ( result ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};function I7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,filter:s}=e,{strides:a,pad:i,dilations:l,dimRoundingMode:u}=n,c=l;c==null&&(c=[1,1]),y.assert(C.eitherStridesOrDilationsAreOne(a,c),()=> ` Error in depthwiseConv2d : Either strides or dilations must be 1. Got strides $ { a } and dilations '${c}' ` );let p=C.computeConv2DInfo(o.shape,s.shape,a,c,i,u,!0),m;return W().getBool("WEBGL_PACK_DEPTHWISECONV")&&p.strideWidth<=2&&p.outChannels/p.inChannels==1?m=new zf(p):m=new Lf(p),t.runWebGLProgram(m,[o,s],"float32")}var Q $ ={kernelName:Eo,backendName:"webgl",kernelFunc:I7};var zv=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,o=e.padInfo.top,s=e.padInfo.left,a=e.outChannels/e.inChannels;this.userCode= `
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int wR = coords . x ;
int wC = coords . y ;
int d1 = coords . z ;
int dm = coords . w ;
int d2 = d1 * $ { a } + dm ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
float dotProd = 0.0 ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
// TO DO: Vec4 over the batch size
for ( int b = 0 ; b < $ { e . batchSize } ; b ++ ) {
for ( int yR = 0 ; yR < $ { e . outHeight } ; yR ++ ) {
int xR = wR + yR * $ { t } - $ { o } ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
for ( int yC = 0 ; yC < $ { e . outWidth } ; yC ++ ) {
int xC = wC + yC * $ { n } - $ { s } ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
float dyValue = getDy ( b , yR , yC , d2 ) ;
float xValue = getX ( b , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
}
}
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
setOutput ( dotProd ) ;
}
` }},Bv=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,o=e.strideHeight,s=e.strideWidth,a=t-1-e.padInfo.top,i=n-1-e.padInfo.left,l=e.outChannels/e.inChannels;this.userCode= `
const ivec2 pads = ivec2 ( $ { a } , $ { i } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d1 = coords [ 3 ] ;
ivec2 dyCorner = coords . yz - pads ;
int dyRCorner = dyCorner . x ;
int dyCCorner = dyCorner . y ;
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { t } ; wR ++ ) {
float dyR = float ( dyRCorner + wR ) / $ { o } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
int wRPerm = $ { t } - 1 - wR ;
for ( int wC = 0 ; wC < $ { n } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { s } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
int wCPerm = $ { n } - 1 - wC ;
// TO DO: Vec4 over the channelMul
for ( int dm = 0 ; dm < $ { l } ; dm ++ ) {
int d2 = d1 * $ { l } + dm ;
float xValue = getDy ( batch , idyR , idyC , d2 ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , dm ) ;
dotProd += xValue * wValue ;
}
}
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
setOutput ( dotProd ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};function N7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,dy:s}=e,{strides:a,dilations:i,pad:l,dimRoundingMode:u,filterShape:c}=n,p=C.computeConv2DInfo(o.shape,c,a,i,l,u,!0),m=new zv(p);return t.runWebGLProgram(m,[o,s],"float32")}var eR={kernelName:Cc,backendName:"webgl",kernelFunc:N7};function S7(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,filter:s}=e,{strides:a,dilations:i,pad:l,dimRoundingMode:u,inputShape:c}=n,p=C.computeConv2DInfo(c,s.shape,a,i,l,u,!0),m=new Bv(p);return t.runWebGLProgram(m,[o,s],"float32")}var tR={kernelName:Ic,backendName:"webgl",kernelFunc:S7};var Vv=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode= `
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
float val = coords [ 0 ] == coords [ 1 ] ? getX ( coords [ 0 ] ) : 0.0 ;
setOutput ( val ) ;
}
` }};function T7(r){let{inputs:e,backend:t}=r,{x:n}=e,o=[...n.shape,...n.shape],s=y.sizeFromShape(n.shape),a=ue({inputs:{x:n},backend:t,attrs:{shape:[s]}}),i=new Vv(s),l=t.runWebGLProgram(i,[a],a.dtype),u=ue({inputs:{x:l},backend:t,attrs:{shape:o}});return t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(l),u}var rR={kernelName:Nc,backendName:"webgl",kernelFunc:T7};var Gv=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:n,padInfo:o,strideHeight:s,strideWidth:a,filterHeight:i,filterWidth:l,dilationHeight:u,dilationWidth:c}=e,{top:p,left:m}=o;this.userCode= `
const ivec2 strides = ivec2 ( $ { s } , $ { a } ) ;
const ivec2 pads = ivec2 ( $ { p } , $ { m } ) ;
const float neg _infinity = - 3.4 e38 ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int d1 = coords . w ;
ivec2 outTopLeftCorner =
coords . yz * strides - pads ;
int hBeg = outTopLeftCorner . x ;
int wBeg = outTopLeftCorner . y ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
float curVal = neg _infinity ;
for ( int h = 0 ; h < $ { i } ; h ++ ) {
int hIn = hBeg + h * $ { u } ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
if ( hIn >= 0 && hIn < $ { t } ) {
for ( int w = 0 ; w < $ { l } ; w ++ ) {
int wIn = wBeg + w * $ { c } ;
if ( wIn >= 0 && wIn < $ { n } ) {
float xVal = getX ( batch , hIn , wIn , d1 ) ;
float wVal = getW ( h , w , d1 ) ;
float val = xVal + wVal ;
if ( val > curVal ) {
curVal = val ;
}
}
}
}
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
float result = curVal ;
setOutput ( result ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};function A7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,filter:s}=e,{strides:a,pad:i,dilations:l}=n,u=C.computeDilation2DInfo(o.shape,s.shape,a,i,"NHWC",l),c,p=new Gv(u);c=t.runWebGLProgram(p,[o,s],"float32");let m=ue({inputs:{x:c},backend:t,attrs:{shape:u.outShape}});return t.disposeIntermediateTensorInfo(c),m}var nR={kernelName:Qa,backendName:"webgl",kernelFunc:A7};function E7(r){let{inputs:e,backend:t,attrs:n}=r,{equation:o}=n,s=e,{allDims:a,summedDims:i,idDims:l}=C.decodeEinsumEquation(o,s.length);C.checkEinsumDimSizes(a.length,l,s);let{path:u,steps:c}=C.getEinsumComputePath(i,l),p=c.length,m=null,f=a.length,d=[];for(let h=0;h<p;++h){for(let g of c[h]){let{permutationIndices:x,expandDims:b}=C.getEinsumPermutation(f,l[g]),w;C.isIdentityPermutation(x)?w=s[g]:(w= $ t({inputs:{x:s[g]},backend:t,attrs:{perm:x}}),d.push(w));let _=w.shape.slice();for(let I=0;I<b.length;++I)_.splice(b[I],0,1);y.arraysEqual(w.shape,_)||(w=ue({inputs:{x:w},backend:t,attrs:{shape:_}}),d.push(w)),m===null?m=w:(m=Pf({inputs:{a:w,b:m},backend:t}),d.push(m))}h<p-1&&(u[h]>=0&&(m=Pu({inputs:{x:m},backend:t,attrs:{axis:u[h]-(a.length-f),keepDims:!1}}),d.push(m)),f--)}for(let h of d)h!==m&&t.disposeIntermediateTensorInfo(h);return m}var oR={kernelName:Sc,backendName:"webgl",kernelFunc:E7};var D7="return (x >= 0.0) ? x : (exp(x) - 1.0);", $ 7= `
vec4 result ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
result . r = ( x . r >= 0.0 ) ? x . r : ( exp ( x . r ) - 1.0 ) ;
result . g = ( x . g >= 0.0 ) ? x . g : ( exp ( x . g ) - 1.0 ) ;
result . b = ( x . b >= 0.0 ) ? x . b : ( exp ( x . b ) - 1.0 ) ;
result . a = ( x . a >= 0.0 ) ? x . a : ( exp ( x . a ) - 1.0 ) ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
return result ;
` ,R7=_e({opSnippet:D7,packedOpSnippet: $ 7}),sR={kernelName:Ri,backendName:"webgl",kernelFunc:R7};var F7="return (b >= 1.0) ? a : a * (b + 1.0);",O7= `
vec4 bGTEZero = vec4 ( greaterThanEqual ( b , vec4 ( 0. ) ) ) ;
return ( bGTEZero * a ) + ( ( vec4 ( 1.0 ) - bGTEZero ) * ( a * ( b + vec4 ( 1.0 ) ) ) ) ;
` ,P7=r=>{let{inputs:e,backend:t}=r,{dy:n,y:o}=e,s=W().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ns(O7,n.shape,o.shape):new co(F7,n.shape,o.shape);return t.runWebGLProgram(s,[n,o],n.dtype)},iR={kernelName:Tc,backendName:"webgl",kernelFunc:P7};var M7= `
return vec4 ( equal ( a , b ) ) ;
` ,L7="return float(a == b);",z7=st({opSnippet:L7,packedOpSnippet:M7,dtype:"bool"}),aR={kernelName:Oi,backendName:"webgl",kernelFunc:z7};var B7= `
// Error function is calculated approximately with elementary function.
// See "Handbook of Mathematical Functions with Formulas,
// Graphs, and Mathematical Tables", Abramowitz and Stegun.
float p = $ { C . ERF _P } ;
float a1 = $ { C . ERF _A1 } ;
float a2 = $ { C . ERF _A2 } ;
float a3 = $ { C . ERF _A3 } ;
float a4 = $ { C . ERF _A4 } ;
float a5 = $ { C . ERF _A5 } ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
float sign = sign ( x ) ;
x = abs ( x ) ;
float t = 1.0 / ( 1.0 + p * x ) ;
return sign * ( 1.0 - ( ( ( ( ( a5 * t + a4 ) * t ) + a3 ) * t + a2 ) * t + a1 ) * t * exp ( - x * x ) ) ;
` ,V7=_e({opSnippet:B7}),lR={kernelName:Fi,backendName:"webgl",kernelFunc:V7};var uR="return exp(x);",Wv=_e({opSnippet:uR,packedOpSnippet:uR,cpuKernelImpl:nD}),cR={kernelName: $ o,backendName:"webgl",kernelFunc:Wv};function _x(r){let{inputs:e,attrs:t,backend:n}=r,{dim:o}=t,{input:s}=e,a=s.shape.length,i=s.shape.slice(),l=o;return o<0&&(y.assert(-(a+1)<=o,()=> ` Axis must be in the interval [ $ { - ( a + 1 ) } , $ { a } ] ` ),l=a+o+1),i.splice(l,0,1),ue({inputs:{x:s},backend:n,attrs:{shape:i}})}var pR={kernelName:Vs,backendName:"webgl",kernelFunc:_x};var mR="return exp(x) - 1.0;",G7=_e({opSnippet:mR,packedOpSnippet:mR,cpuKernelImpl:oD}),fR={kernelName:Pi,backendName:"webgl",kernelFunc:G7};var kx=class{constructor(e,t,n){this.variableNames=["real","imag"];let o=t[1];this.outputShape=t;let s=n? ` 2.0 * $ { Math . PI } ` : ` - 2.0 * $ { Math . PI } ` ,a=n? ` $ { o } . 0 ` :"1.0",i;if(e==="real")i="return real * expR - imag * expI;";else if(e==="imag")i="return real * expI + imag * expR;";else throw new Error( ` FFT component must be either "real" or "imag" , got $ { e } . ` );this.userCode= `
const float exponentMultiplier = $ { s } ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
float unaryOpComplex ( float real , float expR , float imag , float expI ) {
$ { i }
}
float mulMatDFT ( int batch , int index ) {
float indexRatio = float ( index ) / float ( $ { o } ) ;
float exponentMultiplierTimesIndexRatio =
exponentMultiplier * indexRatio ;
float result = 0.0 ;
for ( int i = 0 ; i < $ { o } ; i ++ ) {
// x = (-2|2 * PI / N) * index * i;
float x = exponentMultiplierTimesIndexRatio * float ( i ) ;
float expR = cos ( x ) ;
float expI = sin ( x ) ;
float real = getReal ( batch , i ) ;
float imag = getImag ( batch , i ) ;
result +=
unaryOpComplex ( real , expR , imag , expI ) / $ { a } ;
}
return result ;
}
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
setOutput ( mulMatDFT ( coords [ 0 ] , coords [ 1 ] ) ) ;
}
` }};function vx(r,e,t){let n=t.texData.get(r.dataId),o=y.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],a=o/s,i=ue({inputs:{x:r},backend:t,attrs:{shape:[a,s]}}),l=i.shape,u=new kx("real",l,e),c=new kx("imag",l,e),p=[{dataId:n.complexTensorInfos.real.dataId,dtype:n.complexTensorInfos.real.dtype,shape:l},{dataId:n.complexTensorInfos.imag.dataId,dtype:n.complexTensorInfos.imag.dtype,shape:l}],m=t.runWebGLProgram(u,p,"float32"),f=t.runWebGLProgram(c,p,"float32"),d=xn({inputs:{real:m,imag:f},backend:t});t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(f);let h=ue({inputs:{x:d},backend:t,attrs:{shape:r.shape}});return t.disposeIntermediateTensorInfo(i),t.disposeIntermediateTensorInfo(d),h}function W7(r){let{inputs:e,backend:t}=r,{input:n}=e;return vx(n,!1,t)}var dR={kernelName:Ac,backendName:"webgl",kernelFunc:W7};var jv=class{constructor(e,t){this.outputShape=[],this.variableNames=["x"],this.outputShape=e,this.userCode= `
uniform float value ;
void main ( ) {
// Input can be obtained from uniform value.
setOutput ( value ) ;
}
` }getCustomSetupFunc(e){return(t,n)=>{this.valueLoc==null&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}};function Bf(r){let{backend:e,attrs:t}=r,{shape:n,value:o}=t,{dtype:s}=t;if(s=s||y.inferDtype(o),s==="string"){let a=y.getArrayFromDType(s,y.sizeFromShape(n));return a.fill(o),e.makeTensorInfo(n,s,a)}else{let a=new jv(n,o),i=a.getCustomSetupFunc(o);return e.runWebGLProgram(a,[],s,i)}}var hR={kernelName:el,backendName:"webgl",kernelFunc:Bf};var Uv=class{constructor(e){this.variableNames=["Image"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode= `
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int x = coords [ 2 ] ;
int coordX = $ { t } - x ;
float outputValue ;
if ( coordX >= 0 && coordX < $ { t } ) {
outputValue = getImage ( coords [ 0 ] , coords [ 1 ] , coordX , coords [ 3 ] ) ;
} else {
outputValue = getImage ( coords [ 0 ] , coords [ 1 ] , coords [ 2 ] , coords [ 3 ] ) ;
}
setOutput ( outputValue ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var gR={kernelName:Mi,backendName:"webgl",kernelFunc:({inputs:r,backend:e})=>{let{image:t}=r,n=e,o=new Uv(t.shape);return n.runWebGLProgram(o,[t],t.dtype)}};var xR="return floor(x);",j7=_e({opSnippet:xR,packedOpSnippet:xR,cpuKernelImpl:sD}),yR={kernelName:Ro,backendName:"webgl",kernelFunc:j7};var U7= `
float s = sign ( a ) * sign ( b ) ;
int ia = round ( a ) ;
int ib = round ( b ) ;
if ( ib != 0 ) {
// Windows (D3D) wants guaranteed non-zero int division at compile-time.
return float ( idiv ( ia , ib , s ) ) ;
} else {
return NAN ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` ,H7= `
ivec4 ia = round ( a ) ;
ivec4 ib = round ( b ) ;
bvec4 cond = notEqual ( ib , ivec4 ( 0 ) ) ;
ivec4 result = ivec4 ( 0 ) ;
vec4 s = sign ( a ) * sign ( b ) ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
// Windows (D3D) wants guaranteed non-zero int division at compile-time.
if ( cond [ 0 ] ) {
result [ 0 ] = idiv ( ia [ 0 ] , ib [ 0 ] , s [ 0 ] ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
if ( cond [ 1 ] ) {
result [ 1 ] = idiv ( ia [ 1 ] , ib [ 1 ] , s [ 1 ] ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
if ( cond [ 2 ] ) {
result [ 2 ] = idiv ( ia [ 2 ] , ib [ 2 ] , s [ 2 ] ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
if ( cond [ 3 ] ) {
result [ 3 ] = idiv ( ia [ 3 ] , ib [ 3 ] , s [ 3 ] ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
return vec4 ( result ) ;
` ,q7=st({opSnippet:U7,packedOpSnippet:H7,dtype:"int32"}),bR={kernelName:Fo,backendName:"webgl",kernelFunc:q7};var Hv=class{constructor(e){this.variableNames=["A"];let t=Ot(),[n,o]=e;this.outputShape=e,this.userCode= `
void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
int texR = coords [ 0 ] ;
int texC = coords [ 1 ] ;
int depth = coords [ 2 ] ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { o } . 0 , $ { n } . 0 ) ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
vec4 values = $ { t . texture2D } ( A , uv ) ;
float value ;
if ( depth == 0 ) {
value = values . r ;
} else if ( depth == 1 ) {
value = values . g ;
} else if ( depth == 2 ) {
value = values . b ;
} else if ( depth == 3 ) {
value = values . a ;
}
setOutput ( floor ( value * 255.0 + 0.5 ) ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var qv=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=Ot(),[n,o]=e;this.outputShape=e,this.userCode= `
void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
int texR = coords [ 0 ] ;
int texC = coords [ 1 ] ;
int depth = coords [ 2 ] ;
vec4 result = vec4 ( 0. ) ;
for ( int row = 0 ; row <= 1 ; row ++ ) {
for ( int col = 0 ; col <= 1 ; col ++ ) {
texC = coords [ 1 ] + row ;
depth = coords [ 2 ] + col ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { o } . 0 , $ { n } . 0 ) ;
vec4 values = $ { t . texture2D } ( A , uv ) ;
float value ;
if ( depth == 0 ) {
value = values . r ;
} else if ( depth == 1 ) {
value = values . g ;
} else if ( depth == 2 ) {
value = values . b ;
} else if ( depth == 3 ) {
value = values . a ;
}
result [ row * 2 + col ] = floor ( value * 255.0 + 0.5 ) ;
}
}
$ { t . output } = result ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var wR={kernelName:Em,backendName:"webgl",kernelFunc:K7},Ep;function K7(r){let{inputs:e,backend:t,attrs:n}=r,{pixels:o}=e,{numChannels:s}=n,a=typeof HTMLVideoElement!="undefined"&&o instanceof HTMLVideoElement,i=typeof HTMLImageElement!="undefined"&&o instanceof HTMLImageElement,[l,u]=a?[o.videoWidth,o.videoHeight]:[o.width,o.height],c=[u,l],p=[u,l,s];(i||a)&&(Ep==null&&(Ep=document.createElement("canvas").getContext("2d")),Ep.canvas.width=l,Ep.canvas.height=u,Ep.drawImage(o,0,0,l,u),o=Ep.canvas);let m=t.makeTensorInfo(c,"int32");t.texData.get(m.dataId).usage=Or.PIXELS,t.gpgpu.uploadPixelDataToTexture(t.getTexture(m.dataId),o);let f=W().getBool("WEBGL_PACK")?new qv(p):new Hv(p),d=t.runWebGLProgram(f,[m],"int32");return t.disposeData(m.dataId),d}function X7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,filter:s,bias:a,preluActivationWeights:i}=e,{strides:l,pad:u,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=C.convertConv2DDataFormat(c),g=C.computeConv2DInfo(o.shape,s.shape,l,p,u,m,!1,h),x,b=[];if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))x=yx({x:o,filter:s,convInfo:g,backend:t,bias:a,activation:f,preluActivationWeights:i,leakyreluAlpha:d});else if(W().getBool("WEBGL_CONV_IM2COL")&&o.shape[0]===1)x=bx({x:o,filter:s,convInfo:g,backend:t,bias:a,activation:f,preluActivationWeights:i,leakyreluAlpha:d});else{let _=a!=null,I=i!=null,E=f==="leakyrelu", $ =f?_l(f,!1):null,D=new Mf(g,_, $ ,I,E),O=[o,s];if(a&&O.push(a),i&&O.push(i),E){let M=t.makeTensorInfo([],"float32",y.createScalarValue(d,"float32"));O.push(M),b.push(M)}x=t.runWebGLProgram(D,O,"float32")}let w=ue({inputs:{x},backend:t,attrs:{shape:g.outShape}});return b.push(x),b.forEach(_=>t.disposeIntermediateTensorInfo(_)),w}var _R={kernelName:Qs,backendName:"webgl",kernelFunc:X7};function Y7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,filter:s,bias:a,preluActivationWeights:i}=e,{strides:l,pad:u,dilations:c,dimRoundingMode:p,activation:m,leakyreluAlpha:f}=n,d=[],h=c;h==null&&(h=[1,1]),y.assert(C.eitherStridesOrDilationsAreOne(l,h),()=> ` Error in depthwiseConv2d : Either strides or dilations must be 1. Got strides $ { l } and dilations '${h}' ` );let g=C.computeConv2DInfo(o.shape,s.shape,l,h,u,p,!0),x=W().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels==1,b=m?_l(m,x):null,w=[o,s],_=a!=null,I=i!=null,E=m==="leakyrelu";if(_&&w.push(a),I&&w.push(i),E){let O=t.makeTensorInfo([],"float32",y.createScalarValue(f,"float32"));w.push(O),d.push(O)}let $ ;x? $ =new zf(g,_,b,I,E): $ =new Lf(g,_,b,I,E);let D=t.runWebGLProgram( $ ,w,"float32");return d.forEach(O=>t.disposeIntermediateTensorInfo(O)),D}var kR={kernelName:ei,backendName:"webgl",kernelFunc:Y7};var Kv=class{constructor(e,t,n){this.sliceDim=e,this.strides=t,this.variableNames=["x","indices"],this.outputShape=n;let o=Ve(t.length),s=Ve(n.length),a=this.sliceDim>1?"strides[j]":"strides";this.userCode= `
$ { o } strides = $ { o } ( $ { this . strides } ) ;
void main ( ) {
$ { s } coords = getOutputCoords ( ) ;
int flattenIndex = 0 ;
for ( int j = 0 ; j < $ { this . sliceDim } ; j ++ ) {
int index = round ( getIndices ( coords [ 0 ] , j ) ) ;
flattenIndex += index * $ { a } ;
}
setOutput ( getX ( flattenIndex , coords [ 1 ] ) ) ;
}
` }};function Z7(r){let{inputs:e,backend:t}=r,{params:n,indices:o}=e,s=o.shape,a=s[s.length-1],[i,l,u,c]=C.prepareAndValidate(n,o),p=ue({inputs:{x:o},backend:t,attrs:{shape:[l,a]}}),m=ue({inputs:{x:n},backend:t,attrs:{shape:[y.sizeFromShape(n.shape)/u,u]}}),f=new Kv(a,c,[l,u]),d=t.runWebGLProgram(f,[m,p],m.dtype),h=ue({inputs:{x:d},backend:t,attrs:{shape:i}});return t.disposeIntermediateTensorInfo(p),t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(d),h}var vR={kernelName:Li,backendName:"webgl",kernelFunc:Z7};var Xv=class{constructor(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;let n=Ve(this.rank),o=J7(e,2);this.userCode= `
void main ( ) {
$ { n } resRC = getOutputCoords ( ) ;
setOutput ( getA ( $ { o } ) ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};function J7(r,e){let t=["resRC.x","resRC.y","resRC.z","resRC.w"],n=[];for(let o=0;o<r.length;o++)o===2?n.push("int(getIndices(resRC.x, resRC.z))"):n.push( ` $ { t [ o ] } ` );return n.join()}function Q7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,indices:s}=e,{axis:a,batchDims:i}=n,l=y.parseAxisParam(a,o.shape)[0],u=C.segment_util.collectGatherOpShapeInfo(o,s,l,i),c=y.sizeFromShape(s.shape),p=[],m=ue({inputs:{x:o},backend:t,attrs:{shape:[u.batchSize,u.outerSize,u.dimSize,u.sliceSize]}}),f=ue({inputs:{x:s},backend:t,attrs:{shape:[u.batchSize,c/u.batchSize]}});p.push(m),p.push(f);let d=[u.batchSize,u.outerSize,c/u.batchSize,u.sliceSize];if(t.shouldExecuteOnCPU([o,s])||o.dtype==="string"){let b=t.bufferSync(f),w=t.bufferSync(m),_=iD(w,b,d);return p.forEach(I=>t.disposeIntermediateTensorInfo(I)),t.makeTensorInfo(u.outputShape,_.dtype,_.values)}let h=new Xv(m.shape,d),g=t.runWebGLProgram(h,[m,f],m.dtype);p.push(g);let x=ue({inputs:{x:g},backend:t,attrs:{shape:u.outputShape}});return p.forEach(b=>t.disposeIntermediateTensorInfo(b)),x}var CR={kernelName:Gs,backendName:"webgl",kernelFunc:Q7};var eY="return float(a > b);",tY= `
return vec4 ( greaterThan ( a , b ) ) ;
` ,rY=st({opSnippet:eY,packedOpSnippet:tY,cpuKernelImpl:aD,dtype:"bool"}),IR={kernelName:zi,backendName:"webgl",kernelFunc:rY};var nY="return float(a >= b);",oY= `
return vec4 ( greaterThanEqual ( a , b ) ) ;
` ,sY=st({opSnippet:nY,packedOpSnippet:oY,dtype:"bool"}),NR={kernelName:Po,backendName:"webgl",kernelFunc:sY};function iY(r){let{inputs:e,backend:t}=r,{input:n}=e;return vx(n,!0,t)}var SR={kernelName:Ec,backendName:"webgl",kernelFunc:iY};var aY="return float(!isnan(x) && !isinf(x));",lY=_e({opSnippet:aY,dtype:"bool"}),TR={kernelName:Bi,backendName:"webgl",kernelFunc:lY};var uY="return float(isinf(x));",cY=_e({opSnippet:uY,dtype:"bool"}),AR={kernelName:Vi,backendName:"webgl",kernelFunc:cY};var pY="return float(isnan(x));",mY=_e({opSnippet:pY,dtype:"bool"}),ER={kernelName:Gi,backendName:"webgl",kernelFunc:mY};var fY="return float(a < b);",dY= `
return vec4 ( lessThan ( a , b ) ) ;
` ,hY=st({opSnippet:fY,packedOpSnippet:dY,cpuKernelImpl:lD,dtype:"bool"}),DR={kernelName:Wi,backendName:"webgl",kernelFunc:hY};var gY="return float(a <= b);",xY= `
return vec4 ( lessThanEqual ( a , b ) ) ;
` ,yY=st({opSnippet:gY,packedOpSnippet:xY,dtype:"bool"}), $ R={kernelName:ji,backendName:"webgl",kernelFunc:yY};function bY(r){let{backend:e,attrs:t}=r,{start:n,stop:o,num:s}=t,a=uD(n,o,s);return e.makeTensorInfo([a.length],"float32",a)}var RR={kernelName: $ c,backendName:"webgl",kernelFunc:bY};var wY= ` if ( x < 0.0 ) return NAN ;
return log ( x ) ; ` ,_Y= `
vec4 result = log ( x ) ;
vec4 isNaN = vec4 ( lessThan ( x , vec4 ( 0.0 ) ) ) ;
result . r = isNaN . r == 1.0 ? NAN : result . r ;
result . g = isNaN . g == 1.0 ? NAN : result . g ;
result . b = isNaN . b == 1.0 ? NAN : result . b ;
result . a = isNaN . a == 1.0 ? NAN : result . a ;
return result ;
` ,kY=_e({opSnippet:wY,packedOpSnippet:_Y,cpuKernelImpl:cD}),FR={kernelName:Lo,backendName:"webgl",kernelFunc:kY};var vY="return log(1.0 + x);",CY=_e({opSnippet:vY}),OR={kernelName:Ui,backendName:"webgl",kernelFunc:CY};var IY="return float(a >= 1.0 && b >= 1.0);",NY= `
return vec4 (
vec4 ( greaterThanEqual ( a , vec4 ( 1.0 ) ) ) *
vec4 ( greaterThanEqual ( b , vec4 ( 1.0 ) ) ) ) ;
` ,SY=st({opSnippet:IY,packedOpSnippet:NY,dtype:"bool"}),PR={kernelName:Hi,backendName:"webgl",kernelFunc:SY};var TY="return float(!(x >= 1.0));",AY=_e({opSnippet:TY}),MR={kernelName:jl,backendName:"webgl",kernelFunc:AY};var EY="return float(a >= 1.0 || b >= 1.0);",DY= `
return min (
vec4 ( greaterThanEqual ( a , vec4 ( 1.0 ) ) ) +
vec4 ( greaterThanEqual ( b , vec4 ( 1.0 ) ) ) ,
vec4 ( 1.0 ) ) ;
` , $ Y=st({opSnippet:EY,packedOpSnippet:DY,dtype:"bool"}),LR={kernelName:Ul,backendName:"webgl",kernelFunc: $ Y};var Yv=class{constructor(e,t,n,o,s){this.variableNames=["x"],this.outputShape=[];let a=t,i=e[3]-1;this.outputShape=e;let l,u= ` float ( $ { n } ) + float ( $ { o } ) * sum ` ;s===.5?l= ` inversesqrt ( $ { u } ) ` :s===1?l= ` 1.0 / ( $ { u } ) ` :l= ` exp ( log ( $ { u } ) * float ( - $ { s } ) ) ; ` ,this.userCode= `
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
int d = coords [ 3 ] ;
float x = getX ( b , r , c , d ) ;
float sum = 0.0 ;
for ( int j = - $ { a } ; j <= $ { a } ; j ++ ) {
int idx = d + j ;
if ( idx >= 0 && idx <= $ { i } ) {
float z = getX ( b , r , c , idx ) ;
sum += z * z ;
}
}
float val = x * $ { l } ;
setOutput ( val ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var Zv=class{constructor(e,t,n,o,s){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let a=t,i=e[3]-1;this.outputShape=e;let l,u= ` float ( $ { n } ) + float ( $ { o } ) * sum ` ;s===.5?l= ` inversesqrt ( $ { u } ) ` :s===1?l= ` 1.0 / ( $ { u } ) ` :l= ` exp ( log ( $ { u } ) * float ( - $ { s } ) ) ; ` ,this.userCode= `
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords . x ;
int r = coords . y ;
int c = coords . z ;
int d = coords . w ;
2021-04-28 14:55:26 +02:00
2021-04-28 14:58:21 +02:00
bool hasNextCol = d < $ { this . outputShape [ 3 ] } ;
bool hasNextRow = c < $ { this . outputShape [ 2 ] } ;
vec4 sum = vec4 ( 0. ) ;
vec4 xFragAtOutputCoords = getX ( b , r , c , d ) ;
vec4 xAtOutputCoords = vec4 (
getChannel ( xFragAtOutputCoords , vec2 ( c , d ) ) ,
hasNextCol ?
getChannel ( xFragAtOutputCoords , vec2 ( c , d + 1 ) ) : 0.0 ,
hasNextRow ?
getChannel ( xFragAtOutputCoords , vec2 ( c + 1 , d ) ) : 0.0 ,
( hasNextRow && hasNextCol ) ?
getChannel ( xFragAtOutputCoords , vec2 ( c + 1 , d + 1 ) ) : 0.0
) ;
int firstChannel = d - $ { a } ;
vec2 cache = vec2 ( 0. ) ;
if ( firstChannel >= 0 ) {
vec4 firstChannelFrag = getX ( b , r , c , firstChannel ) ;
cache . x = getChannel ( firstChannelFrag , vec2 ( c , firstChannel ) ) ;
if ( hasNextRow ) {
cache . y = getChannel ( firstChannelFrag , vec2 ( c + 1 , firstChannel ) ) ;
}
}
ivec2 depth = ivec2 ( d , d + 1 ) ;
for ( int j = - $ { a } ; j <= $ { a } ; j ++ ) {
ivec2 idx = depth + j ;
bvec2 aboveLowerBound = greaterThanEqual ( idx , ivec2 ( 0 ) ) ;
bvec2 belowUpperBound = lessThanEqual ( idx , ivec2 ( $ { i } ) ) ;
bool depthInRange = aboveLowerBound . x && belowUpperBound . x ;
bool depthPlusOneInRange = aboveLowerBound . y && belowUpperBound . y ;
if ( depthInRange || depthPlusOneInRange ) {
vec4 z = vec4 ( 0. ) ;
vec4 xFragAtCurrentDepth ;
z . xz = cache . xy ;
if ( depthPlusOneInRange && hasNextCol ) {
xFragAtCurrentDepth = idx . y != d ?
getX ( b , r , c , idx . y ) : xFragAtOutputCoords ;
z . y = getChannel ( xFragAtCurrentDepth , vec2 ( c , idx . y ) ) ;
if ( hasNextRow ) {
z . w = getChannel ( xFragAtCurrentDepth , vec2 ( c + 1 , idx . y ) ) ;
}
}
cache . xy = z . yw ;
sum += z * z ;
2021-04-19 22:02:47 +02:00
}
}
2021-04-28 14:58:21 +02:00
vec4 result = xAtOutputCoords * $ { l } ;
setOutput ( result ) ;
2021-03-27 20:43:48 +01:00
}
2021-04-28 14:58:21 +02:00
` }};var RY=r=>{let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{depthRadius:s,bias:a,alpha:i,beta:l}=n,u=W().getBool("WEBGL_PACK_NORMALIZATION")?new Zv(o.shape,s,a,i,l):new Yv(o.shape,s,a,i,l);return t.runWebGLProgram(u,[o],o.dtype)},zR={kernelName:tl,backendName:"webgl",kernelFunc:RY};var Jv=class{constructor(e,t,n,o,s){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=o,this.beta=s,this.userCode= `
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
float result = 0.0 ;
for ( int d = 0 ; d < $ { this . depth } ; ++ d ) {
int depthBegin = int ( max ( 0.0 , float ( d - $ { t } ) ) ) ;
int depthEnd = int ( min ( float ( $ { this . depth } ) ,
float ( d + $ { t } + 1 ) ) ) ;
const int MIN _DEPTH _BEGIN = 0 ;
const int MAX _DEPTH _END = $ { this . depth } ;
float norm = 0.0 ;
for ( int k = MIN _DEPTH _BEGIN ; k < MAX _DEPTH _END ; ++ k ) {
if ( k < depthBegin ) {
continue ;
}
else if ( k >= depthBegin && k < depthEnd ) {
norm += getInputImage ( b , r , c , k ) * getInputImage ( b , r , c , k ) ;
}
else {
break ;
}
}
norm = float ( $ { o } ) * norm + float ( $ { n } ) ;
for ( int k = MIN _DEPTH _BEGIN ; k < MAX _DEPTH _END ; ++ k ) {
if ( k < depthBegin ) {
continue ;
}
else if ( k >= depthBegin && k < depthEnd ) {
float dyi = - 2.0 * float ( $ { o } )
* float ( $ { s } )
* getInputImage ( b , r , c , k ) * getOutputImage ( b , r , c , d )
/ n o r m ;
if ( k == d ) {
dyi += pow ( norm , - 1.0 * $ { s } ) ;
}
if ( k == coords [ 3 ] ) {
dyi *= getDy ( b , r , c , d ) ;
result += dyi ;
2021-03-29 21:01:16 +02:00
}
2021-03-27 20:45:37 +01:00
}
2021-04-28 14:58:21 +02:00
else {
break ;
}
}
2021-04-19 22:02:47 +02:00
}
2021-04-28 14:58:21 +02:00
setOutput ( result ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var FY=r=>{let{inputs:e,backend:t,attrs:n}=r,{x:o,y:s,dy:a}=e,{depthRadius:i,bias:l,alpha:u,beta:c}=n,p=new Jv(o.shape,i,l,u,c);return t.runWebGLProgram(p,[o,s,a],o.dtype)},BR={kernelName:Rc,backendName:"webgl",kernelFunc:FY};function VR(r,e,t,n){let o=y.sizeFromShape(e),a=y.sizeFromShape(r.shape)/o,i=ue({inputs:{x:r},attrs:{shape:[a,o]},backend:n}),l=An(i,r.dtype,"max",n),u=ue({inputs:{x:l},attrs:{shape:t},backend:n});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(l),u}function Qv(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{reductionIndices:s,keepDims:a}=n,i=o.shape.length,l=y.parseAxisParam(s,o.shape),u=l,c=C.getAxesPermutation(u,i),p=c!=null,m=t.shouldExecuteOnCPU([o]),f=o;if(p){if(m){let w=t.texData.get(f.dataId).values,_=new Array(i);for(let $ =0; $ <_.length; $ ++)_[ $ ]=o.shape[c[ $ ]];let I=Fu(w,o.shape,o.dtype,c,_);f=t.makeTensorInfo(_,o.dtype);let E=t.texData.get(f.dataId);E.values=I}else f=kl(o,c,t);u=C.getInnerMostAxes(u.length,i)}C.assertAxesAreInnerMostDims("max",u,i);let[d,h]=C.computeOutAndReduceShapes(f.shape,u),g=d;a&&(g=C.expandShapeToKeepDim(d,l));let x;if(m){let w=t.texData.get(f.dataId).values,_=pD(w,y.sizeFromShape(h),g,o.dtype);x=t.makeTensorInfo(g,o.dtype);let I=t.texData.get(x.dataId);I.values=_}else x=VR(f,h,g,t);return p&&t.disposeIntermediateTensorInfo(f),x}var GR={kernelName:zo,backendName:"webgl",kernelFunc:Qv};var OY=px+ `
return max ( a , b ) ;
` ,PY= `
vec4 result = vec4 ( max ( a , b ) ) ;
vec4 isNaN = min ( vec4 ( isnan ( a ) ) + vec4 ( isnan ( b ) ) , vec4 ( 1.0 ) ) ;
` +wl+ `
return result ;
` ,MY=st({opSnippet:OY,packedOpSnippet:PY,cpuKernelImpl:mD}),WR={kernelName:Bo,backendName:"webgl",kernelFunc:MY};function LY(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e;vs(o,"maxPool");let{filterSize:s,strides:a,pad:i,dimRoundingMode:l}=n,u=1;y.assert(C.eitherStridesOrDilationsAreOne(a,u),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { a } and dilations '${u}' ` );let c=C.computePool2DInfo(o.shape,s,a,u,i,l);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return jt({inputs:{x:o},backend:t});let p=new ui(c,"max",!1);return t.runWebGLProgram(p,[o],o.dtype)}var jR={kernelName:Vo,backendName:"webgl",kernelFunc:LY};function zY(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{filterSize:s,strides:a,pad:i,dataFormat:l,dimRoundingMode:u}=n,c=[1,1,1],p=C.computePool3DInfo(o.shape,s,a,c,i,u,l),m=new Lu(p,"max",!1);return t.runWebGLProgram(m,[o],o.dtype)}var UR={kernelName:rl,backendName:"webgl",kernelFunc:zY};var eC=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,n=e.strideWidth,o=e.dilationHeight,s=e.effectiveFilterHeight,a=e.effectiveFilterWidth,i=s-1-e.padInfo.top,l=a-1-e.padInfo.left,u=s*a-1;this.userCode= `
const ivec2 pads = ivec2 ( $ { i } , $ { l } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 dyRCCorner = coords . yz - pads ;
int dyRCorner = dyRCCorner . x ;
int dyCCorner = dyRCCorner . y ;
// Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { s } ;
wR += $ { o } ) {
float dyR = float ( dyRCorner + wR ) / $ { t } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
for ( int wC = 0 ; wC < $ { a } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { n } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
float dyValue = getDy ( b , idyR , idyC , d ) ;
int maxPosValue = $ { u } - int ( getMaxPos ( b , idyR , idyC , d ) ) ;
// Get the current value, check it against the value from the
// position matrix.
int curPosValue = wR * $ { a } + wC ;
float mask = float ( maxPosValue == curPosValue ? 1.0 : 0.0 ) ;
dotProd += dyValue * mask ;
}
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
setOutput ( dotProd ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }},tC=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,n=e.strideHeight,o=e.strideWidth,s=e.dilationDepth,a=e.dilationHeight,i=e.dilationWidth,l=e.effectiveFilterDepth,u=e.effectiveFilterHeight,c=e.effectiveFilterWidth,p=l-1-e.padInfo.front,m=u-1-e.padInfo.top,f=c-1-e.padInfo.left,d=l*u*c-1;this.userCode= `
const ivec3 pads = ivec3 ( $ { p } , $ { m } , $ { f } ) ;
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
int dyDCorner = dyCorner . x ;
int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
// Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get
// dx(xD, xR, xC, ch).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
2021-03-13 00:24:34 +01:00
2021-04-28 14:58:21 +02:00
for ( int wD = 0 ; wD < $ { l } ;
wD += $ { s } ) {
float dyD = float ( dyDCorner + wD ) / $ { t } . 0 ;
if ( dyD < 0.0 || dyD >= $ { e . outDepth } . 0 || fract ( dyD ) > 0.0 ) {
continue ;
}
int idyD = int ( dyD ) ;
for ( int wR = 0 ; wR < $ { u } ;
wR += $ { a } ) {
float dyR = float ( dyRCorner + wR ) / $ { n } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
for ( int wC = 0 ; wC < $ { c } ;
wC += $ { i } ) {
float dyC = float ( dyCCorner + wC ) / $ { o } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
float dyValue = getDy ( batch , idyD , idyR , idyC , ch ) ;
int maxPosValue = $ { d } -
int ( getMaxPos ( batch , idyD , idyR , idyC , ch ) ) ;
// Get the current value, check it against the value from the
// position matrix.
int curPosValue =
wD * $ { u } * $ { c } +
wR * $ { c } + wC ;
float mask = float ( maxPosValue == curPosValue ? 1.0 : 0.0 ) ;
2021-03-14 04:31:09 +01:00
2021-04-28 14:58:21 +02:00
dotProd += dyValue * mask ;
}
}
}
setOutput ( dotProd ) ;
}
` }};function BY(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,input:s}=e,a=s,{filterSize:i,strides:l,pad:u,dimRoundingMode:c}=n,p=[1,1,1],m=C.computePool3DInfo(a.shape,i,l,p,u,c),f=new Lu(m,"max",!0),d=t.runWebGLProgram(f,[a],a.dtype),h=new tC(m),g=t.runWebGLProgram(h,[o,d],a.dtype);return t.disposeIntermediateTensorInfo(d),g}var HR={kernelName:Oc,backendName:"webgl",kernelFunc:BY};function VY(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,input:s,output:a}=e,i=s;vs([s,a],"maxPoolGrad");let{filterSize:l,strides:u,pad:c,dimRoundingMode:p}=n,m=C.computePool2DInfo(i.shape,l,u,1,c,p),f=!0,d=new ui(m,"max",f),h=t.runWebGLProgram(d,[i],i.dtype),g=new eC(m),x=t.runWebGLProgram(g,[o,h],i.dtype);return t.disposeIntermediateTensorInfo(h),x}var qR={kernelName:Fc,backendName:"webgl",kernelFunc:VY};function KR(r,e,t,n){let o=new ui(t,"max",!1),s=n.runWebGLProgram(o,[r],"float32");o=new ui(t,"max",!0,!0,e);let a=n.runWebGLProgram(o,[r],"float32");return[s,a]}var XR={kernelName:Pc,backendName:"webgl",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:n}=r,{filterSize:o,strides:s,pad:a,includeBatchInIndex:i}=e,l=t;y.assert(n.shape.length===4,()=> ` Error in maxPool : input must be rank 4 but got rank $ { n . shape . length } . ` );let u=[1,1];y.assert(C.eitherStridesOrDilationsAreOne(s,u),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { s } and dilations '${u}' ` );let c=C.computePool2DInfo(n.shape,o,s,u,a),[p,m]=KR(n,i,c,l);return[p,m]}};function YR(r,e,t,n){let o=y.sizeFromShape(e),a=y.sizeFromShape(r.shape)/o,i=ue({inputs:{x:r},attrs:{shape:[a,o]},backend:n}),l=An(i,"float32","mean",n),u=ue({inputs:{x:l},attrs:{shape:t},backend:n});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(l),u}var ZR={kernelName:Go,backendName:"webgl",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:n}=r,{keepDims:o,axis:s}=e,a=t,i=n.shape.length,l=y.parseAxisParam(s,n.shape),u=l,c=C.getAxesPermutation(u,i),p=c!=null,m=a.shouldExecuteOnCPU([n]),f=[],d=n;if(p){if(m){let _=a.texData.get(d.dataId).values,I=new Array(i);for(let D=0;D<I.length;D++)I[D]=n.shape[c[D]];let E=Fu(_,n.shape,n.dtype,c,I);d=a.makeTensorInfo(I,n.dtype);let $ =a.texData.get(d.dataId); $ .values=E}else d=kl(n,c,a);f.push(d),u=C.getInnerMostAxes(u.length,i)}C.assertAxesAreInnerMostDims("sum",u,i);let[h,g]=C.computeOutAndReduceShapes(d.shape,u),x=h;o&&(x=C.expandShapeToKeepDim(h,l));let b=YR(d,g,x,a);for(let w of f)a.disposeIntermediateTensorInfo(w);return b}};function GY(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s,keepDims:a}=n,i=o.shape.length,l=y.parseAxisParam(s,o.shape),u=l,c=C.getAxesPermutation(u,i),p=o;c!=null&&(p= $ t({inputs:{x:o},backend:t,attrs:{perm:c}}),u=C.getInnerMostAxes(u.length,o.shape.length)),C.assertAxesAreInnerMostDims("min",u,i);let[m,f]=C.computeOutAndReduceShapes(p.shape,u),d=y.sizeFromShape(f),h=ue({inputs:{x:p},backend:t,attrs:{shape:[-1,d]}}),g=An(h,h.dtype,"min",t),x;if(a){let b=C.expandShapeToKeepDim(m,l);x=ue({inputs:{x:g},backend:t,attrs:{shape:b}})}else x=ue({inputs:{x:g},backend:t,attrs:{shape:m}});return t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),c!=null&&t.disposeIntermediateTensorInfo(p),x}var JR={kernelName:Wo,backendName:"webgl",kernelFunc:GY};var WY=px+ `
return min ( a , b ) ;
` ,jY= `
vec4 result = vec4 ( min ( a , b ) ) ;
vec4 isNaN = min ( vec4 ( isnan ( a ) ) + vec4 ( isnan ( b ) ) , vec4 ( 1.0 ) ) ;
` +wl+ `
return result ;
` ,UY=st({opSnippet:WY,packedOpSnippet:jY,cpuKernelImpl:fD}),QR={kernelName:jo,backendName:"webgl",kernelFunc:UY};var rC=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((c,p)=>c[0]+e[p]+c[1]);let o=e.length,s=Ve(o),a=t.map(c=>c[0]).join(","),i=t.map((c,p)=>c[0]+e[p]).join(","),l=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,o),u=n==="reflect"?0:1;if(o===1){this.userCode= `
int start = $ { a } ;
int end = $ { i } ;
2021-03-15 13:56:36 +01:00
2021-04-28 14:58:21 +02:00
void main ( ) {
int outC = getOutputCoords ( ) ;
if ( outC < start ) {
outC = start * 2 - outC - $ { u } ;
} else if ( outC >= end ) {
outC = ( end - 1 ) * 2 - outC + $ { u } ;
}
setOutput ( getX ( outC - start ) ) ;
}
` ;return}this.userCode= `
$ { s } start = $ { s } ( $ { a } ) ;
$ { s } end = $ { s } ( $ { i } ) ;
2021-03-23 20:25:43 +01:00
2021-04-28 14:58:21 +02:00
void main ( ) {
$ { s } outC = getOutputCoords ( ) ;
for ( int i = 0 ; i < $ { o } ; i ++ ) {
if ( outC [ i ] < start [ i ] ) {
outC [ i ] = start [ i ] * 2 - outC [ i ] - $ { u } ;
} else if ( outC [ i ] >= end [ i ] ) {
outC [ i ] = ( end [ i ] - 1 ) * 2 - outC [ i ] + $ { u } ;
}
}
$ { s } coords = outC - start ;
setOutput ( getX ( $ { l } ) ) ;
}
` }};var nC=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((d,h)=>d[0]+e[h]+d[1]);let o=e.length,s=Ve(o),a=t.map(d=>d[0]).join(","),i=t.map((d,h)=>d[0]+e[h]).join(","),l=Wt("rc",o),u=Wt("source",o),c= ` $ { l [ o - 1 ] } < $ { this . outputShape [ o - 1 ] } ` ,p=o===1?"source": ` vec2 ( $ { u . slice ( - 2 ) . join ( ) } ) ` ,m=n==="reflect"?0:1,f="";if(o===1){let d= `
$ { s } source = rc ;
if ( source < start ) {
source = start * 2 - source - $ { m } ;
} else if ( source >= end ) {
source = ( end - 1 ) * 2 - source + $ { m } ;
}
source -= start ;
` ;f= `
$ { s } rc = outputLoc ;
$ { d }
result [ 0 ] = getChannel ( getX ( $ { u . join ( ) } ) , $ { p } ) ;
$ { l [ o - 1 ] } += 1 ;
if ( $ { c } ) {
$ { d }
result [ 1 ] = getChannel ( getX ( $ { u . join ( ) } ) , $ { p } ) ;
}
` }else{let d= `
$ { s } source = rc ;
$ { s } lt = $ { s } ( lessThan ( source , start ) ) ;
$ { s } gte = $ { s } ( greaterThanEqual ( source , end ) ) ;
$ { s } orig = 1 - ( lt + gte ) ;
source = orig * source +
lt * ( start * 2 - source - $ { m } ) +
gte * ( ( end - 1 ) * 2 - source + $ { m } ) ;
source -= start ;
` ;f= `
$ { s } rc = outputLoc ;
$ { d }
result [ 0 ] = getChannel ( getX ( $ { u . join ( ) } ) , $ { p } ) ;
$ { l [ o - 1 ] } += 1 ;
if ( $ { c } ) {
$ { d }
result [ 1 ] = getChannel ( getX ( $ { u . join ( ) } ) , $ { p } ) ;
}
rc = outputLoc ;
$ { l [ o - 2 ] } += 1 ;
if ( $ { l [ o - 2 ] } < $ { this . outputShape [ o - 2 ] } ) {
$ { d }
result [ 2 ] = getChannel ( getX ( $ { u . join ( ) } ) , $ { p } ) ;
$ { l [ o - 1 ] } += 1 ;
if ( $ { c } ) {
$ { d }
result [ 3 ] = getChannel ( getX ( $ { u . join ( ) } ) , $ { p } ) ;
}
}
` }this.userCode= `
const $ { s } start = $ { s } ( $ { a } ) ;
const $ { s } end = $ { s } ( $ { i } ) ;
2021-03-24 16:43:28 +01:00
2021-04-28 14:58:21 +02:00
void main ( ) {
$ { s } outputLoc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
$ { f }
setOutput ( result ) ;
}
` }};var HY=({inputs:r,backend:e,attrs:t})=>{let{x:n}=r,{paddings:o,mode:s}=t,a=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new nC(n.shape,o,s):new rC(n.shape,o,s);return e.runWebGLProgram(a,[n],n.dtype)},eF={kernelName:Uo,backendName:"webgl",kernelFunc:HY};var qY= ` if ( b == 0.0 ) return NAN ;
return mod ( a , b ) ; ` ,KY= `
vec4 result = mod ( a , b ) ;
vec4 isNaN = vec4 ( equal ( b , vec4 ( 0.0 ) ) ) ;
` +wl+ `
2021-04-28 14:55:26 +02:00
return result ;
2021-04-28 14:58:21 +02:00
` ,XY=st({opSnippet:qY,packedOpSnippet:KY}),tF={kernelName:qi,backendName:"webgl",kernelFunc:XY};var oC=class{constructor(e,t,n){this.variableNames=["probs"],this.outputShape=[e,n],this.userCode= `
uniform float seed ;
2021-03-27 20:45:37 +01:00
2021-04-28 14:58:21 +02:00
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
2021-03-30 15:03:18 +02:00
2021-04-28 14:58:21 +02:00
float r = random ( seed ) ;
float cdf = 0.0 ;
2021-04-17 00:03:15 +02:00
2021-04-28 14:58:21 +02:00
for ( int i = 0 ; i < $ { t - 1 } ; i ++ ) {
cdf += getProbs ( batch , i ) ;
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
if ( r < cdf ) {
setOutput ( float ( i ) ) ;
return ;
}
2021-04-19 22:19:03 +02:00
}
2021-04-28 14:58:21 +02:00
// If no other event happened, last event happened.
setOutput ( float ( $ { t - 1 } ) ) ;
2021-04-19 22:19:03 +02:00
}
2021-04-28 14:58:21 +02:00
` }getCustomSetupFunc(e){return(t,n)=>{this.seedLoc==null&&(this.seedLoc=t.getUniformLocation(n,"seed")),t.gl.uniform1f(this.seedLoc,e)}}};var YY= `
if ( a == b ) {
return 1.0 ;
2021-04-28 14:55:26 +02:00
} ;
2021-04-28 14:58:21 +02:00
return a / b ; ` ,ZY= `
// vec4 one = vec4(equal(a, b));
// return one + (vec4(1.0) - one) * a / b;
vec4 result = a / b ;
if ( a . x == b . x ) {
result . x = 1. ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
if ( a . y == b . y ) {
result . y = 1. ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
if ( a . z == b . z ) {
result . z = 1. ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
if ( a . w == b . w ) {
result . w = 1. ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
return result ;
` ,sC=st({opSnippet:YY,packedOpSnippet:ZY,checkOutOfBounds:!0}),rF={kernelName:Do,backendName:"webgl",kernelFunc:sC};var nF="return a - b;",iC=st({opSnippet:nF,packedOpSnippet:nF,supportsComplex:!0,cpuKernelImpl:kD}),oF={kernelName:us,backendName:"webgl",kernelFunc:iC};function aC(r){let{inputs:e,backend:t,attrs:n}=r,{logits:o}=e,{dim:s}=n,a=y.parseAxisParam([s],o.shape),i=Qv({inputs:{x:o},backend:t,attrs:{reductionIndices:a,keepDims:!1}}),l=C.expandShapeToKeepDim(i.shape,a),u=ue({inputs:{x:i},backend:t,attrs:{shape:l}}),c=iC({inputs:{a:o,b:u},backend:t}),p=Wv({inputs:{x:c},backend:t}),m=Pu({inputs:{x:p},backend:t,attrs:{axis:a,keepDims:!1}}),f=ue({inputs:{x:m},backend:t,attrs:{shape:l}}),d=sC({inputs:{a:p,b:f},backend:t});return t.disposeIntermediateTensorInfo(i),t.disposeIntermediateTensorInfo(u),t.disposeIntermediateTensorInfo(c),t.disposeIntermediateTensorInfo(p),t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(f),d}var sF={kernelName:as,backendName:"webgl",kernelFunc:aC};function JY(r){let{inputs:e,backend:t,attrs:n}=r,{logits:o}=e,{numSamples:s,seed:a,normalized:i}=n,l=i?o:aC({inputs:{logits:o},backend:t,attrs:{dim:o.shape.length-1}}),u=l.shape[0],c=l.shape[1],p=new oC(u,c,s),m=p.getCustomSetupFunc(a),f=t.runWebGLProgram(p,[l],"int32",m);return i||t.disposeIntermediateTensorInfo(l),f}var iF={kernelName:Mc,backendName:"webgl",kernelFunc:JY};var aF="return -x;";function QY(r){let{inputs:e,backend:t}=r,{x:n}=e;if(t.shouldExecuteOnCPU([n])){let s=t.texData.get(n.dataId),[a,i]=hD(s.values,n.shape,n.dtype);return t.makeTensorInfo(i,n.dtype,a)}let o;return W().getBool("WEBGL_PACK_UNARY_OPERATIONS")?o=new Is(n.shape,aF):o=new gn(n.shape,aF),t.runWebGLProgram(o,[n],n.dtype)}var lF={kernelName:Ws,backendName:"webgl",kernelFunc:QY};var e9=Rr.nonMaxSuppressionV3Impl;function t9(r){C.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:e,backend:t,attrs:n}=r,{boxes:o,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:l}=n,u=t.readSync(o.dataId),c=t.readSync(s.dataId),{selectedIndices:p}=e9(u,c,a,i,l);return t.makeTensorInfo([p.length],"int32",new Int32Array(p))}var uF={kernelName:Xi,backendName:"webgl",kernelFunc:t9};var r9=Rr.nonMaxSuppressionV4Impl;function n9(r){C.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:e,backend:t,attrs:n}=r,{boxes:o,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:l,padToMaxOutputSize:u}=n,c=t.readSync(o.dataId),p=t.readSync(s.dataId),{selectedIndices:m,validOutputs:f}=r9(c,p,a,i,l,u);return[t.makeTensorInfo([m.length],"int32",new Int32Array(m)),t.makeTensorInfo([],"int32",new Int32Array([f]))]}var cF={kernelName:Yi,backendName:"webgl",kernelFunc:n9};var o9=Rr.nonMaxSuppressionV5Impl;function s9(r){C.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:e,backend:t,attrs:n}=r,{boxes:o,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:l,softNmsSigma:u}=n,c=t.readSync(o.dataId),p=t.readSync(s.dataId),m=a,f=i,d=l,h=u,{selectedIndices:g,selectedScores:x}=o9(c,p,m,f,d,h);return[t.makeTensorInfo([g.length],"int32",new Int32Array(g)),t.makeTensorInfo([x.length],"float32",new Float32Array(x))]}var pF={kernelName:Zi,backendName:"webgl",kernelFunc:s9};var lC=class{constructor(e,t,n,o){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode= `
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int index = round ( getIndices ( coords . x ) ) ;
setOutput ( mix ( float ( $ { o } ) , float ( $ { n } ) ,
float ( index == coords . y ) ) ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};var i9=r=>{let{inputs:e,backend:t,attrs:n}=r,{indices:o}=e,{depth:s,onValue:a,offValue:i}=n,l=y.sizeFromShape(o.shape),u=new lC(l,s,a,i),c=ue({inputs:{x:o},backend:t,attrs:{shape:[l]}}),p=t.runWebGLProgram(u,[c],o.dtype);t.disposeIntermediateTensorInfo(c);let m=[...o.shape,s],f=ue({inputs:{x:p},backend:t,attrs:{shape:m}});return t.disposeIntermediateTensorInfo(p),f},mF={kernelName:qo,backendName:"webgl",kernelFunc:i9};function Vf(r){let{inputs:e,backend:t}=r,{x:n}=e;if(n.dtype==="complex64"){let o=Ra({inputs:{input:n},backend:t}),s=Vf({inputs:{x:o},backend:t}),a=zu({inputs:{input:n},backend:t}),i=Vf({inputs:{x:a},backend:t}),l=xn({inputs:{real:s,imag:i},backend:t});return t.disposeIntermediateTensorInfo(o),t.disposeIntermediateTensorInfo(s),t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(i),l}else return Bf({attrs:{shape:n.shape,dtype:n.dtype,value:n.dtype==="string"?"":0},backend:t})}var fF={kernelName:Zs,backendName:"webgl",kernelFunc:Vf};function dF(r){let{inputs:e,backend:t}=r,{x:n}=e;if(n.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(n.dtype==="complex64"){let o=Ra({inputs:{input:n},backend:t}),s=dF({inputs:{x:o},backend:t}),a=zu({inputs:{input:n},backend:t}),i=Vf({inputs:{x:a},backend:t}),l=xn({inputs:{real:s,imag:i},backend:t});return t.disposeIntermediateTensorInfo(o),t.disposeIntermediateTensorInfo(s),t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(i),l}else return Bf({attrs:{shape:n.shape,dtype:n.dtype,value:1},backend:t})}var hF={kernelName:js,backendName:"webgl",kernelFunc:dF};function a9(r){let{inputs:e,backend:t,attrs:n}=r,{axis:o}=n;if(e.length===1)return _x({inputs:{input:e[0]},backend:t,attrs:{dim:o}});let s=e[0].shape,a=e[0].dtype;e.forEach(c=>{y.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),y.assert(a===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let i=[],l=e.map(c=>{let p=_x({inputs:{input:c},backend:t,attrs:{dim:o}});return i.push(p),p}),u=Ev({inputs:l,backend:t,attrs:{axis:o}});return i.forEach(c=>t.disposeIntermediateTensorInfo(c)),u}var gF={kernelName:Us,backendName:"webgl",kernelFunc:a9};var uC=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((u,c)=>u[0]+e[c]+u[1]);let o=e.length,s=Ve(o),a=t.map(u=>u[0]).join(","),i=t.map((u,c)=>u[0]+e[c]).join(","),l=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,o);if(o===1){this.userCode= `
int start = $ { a } ;
int end = $ { i } ;
uniform float value ;
void main ( ) {
int outC = getOutputCoords ( ) ;
if ( outC < start || outC >= end ) {
setOutput ( value ) ;
} else {
setOutput ( getX ( outC - start ) ) ;
}
}
` ;return}this.userCode= `
$ { s } start = $ { s } ( $ { a } ) ;
$ { s } end = $ { s } ( $ { i } ) ;
uniform float value ;
void main ( ) {
$ { s } outC = getOutputCoords ( ) ;
if ( any ( lessThan ( outC , start ) ) || any ( greaterThanEqual ( outC , end ) ) ) {
setOutput ( value ) ;
} else {
$ { s } coords = outC - start ;
setOutput ( getX ( $ { l } ) ) ;
}
}
` }getCustomSetupFunc(e){return(t,n)=>{this.valueLoc==null&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}};var cC=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((h,g)=>h[0]+e[g]+h[1]);let o=e.length,s=Ve(o),a=t.map(h=>h[0]).join(","),i=t.map((h,g)=>h[0]+e[g]).join(","),l=Wt("rc",o),u=Wt("source",o),c= ` $ { l [ o - 1 ] } < $ { this . outputShape [ o - 1 ] } ` ,p=o===1?"source": ` vec2 ( $ { u . slice ( - 2 ) . join ( ) } ) ` ,m=[ ` $ { s } rc = outputLoc ; ` , ` $ { l [ o - 1 ] } += 1 ;
if ( $ { c } ) {
` ,o===1?"": ` }
rc = outputLoc ;
$ { l [ o - 2 ] } += 1 ;
if ( $ { l [ o - 2 ] } < $ { this . outputShape [ o - 2 ] } ) { ` ,o===1?"": ` $ { l [ o - 1 ] } += 1 ;
if ( $ { c } ) { ` ],f=o===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",d="";for(let h=0,g=o===1?2:4;h<g;h++)d+= `
$ { m [ h ] }
if ( $ { f } ) {
result [ $ { h } ] = float ( value ) ;
} else {
$ { s } source = rc - start ;
result [ $ { h } ] = getChannel ( getX ( $ { u . join ( ) } ) , $ { p } ) ;
}
` ;d+=o===1?"} ":"}}",this.userCode= `
const $ { s } start = $ { s } ( $ { a } ) ;
const $ { s } end = $ { s } ( $ { i } ) ;
uniform float value ;
void main ( ) {
$ { s } outputLoc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
$ { d }
setOutput ( result ) ;
}
` }getCustomSetupFunc(e){return(t,n)=>{this.valueLoc==null&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}};var pC=r=>{let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{paddings:s,constantValue:a}=n,i=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new cC(o.shape,s,a):new uC(o.shape,s,a),l=i.getCustomSetupFunc(a);return t.runWebGLProgram(i,[o],o.dtype,l)},xF={kernelName:Ko,backendName:"webgl",kernelFunc:pC};var l9= `
if ( a < 0.0 && floor ( b ) < b ) {
return NAN ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
if ( b == 0.0 ) {
return 1.0 ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
return ( round ( mod ( b , 2.0 ) ) != 1 ) ?
pow ( abs ( a ) , b ) : sign ( a ) * pow ( abs ( a ) , b ) ;
` ,u9= `
// isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.
vec4 isModRound1 = vec4 ( equal ( round ( mod ( b , 2.0 ) ) , ivec4 ( 1 ) ) ) ;
vec4 multiplier = sign ( a ) * isModRound1 + ( vec4 ( 1.0 ) - isModRound1 ) ;
vec4 result = multiplier * pow ( abs ( a ) , b ) ;
// Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS
bvec4 isExpZero = equal ( b , vec4 ( 0.0 ) ) ;
result . r = isExpZero . r ? 1.0 : result . r ;
result . g = isExpZero . g ? 1.0 : result . g ;
result . b = isExpZero . b ? 1.0 : result . b ;
result . a = isExpZero . a ? 1.0 : result . a ;
vec4 isNaN = vec4 ( lessThan ( a , vec4 ( 0.0 ) ) ) * vec4 ( lessThan ( floor ( b ) , b ) ) ;
` +wl+ `
return result ;
` ,c9=st({opSnippet:l9,packedOpSnippet:u9}),yF={kernelName:Xo,backendName:"webgl",kernelFunc:c9};function p9(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s,keepDims:a}=n,i=o.shape.length,l=[],u=y.parseAxisParam(s,o.shape),c=u,p=C.getAxesPermutation(c,i),m=o;p!=null&&(m= $ t({inputs:{x:o},backend:t,attrs:{perm:p}}),c=C.getInnerMostAxes(c.length,i),l.push(m)),C.assertAxesAreInnerMostDims("prod",c,i);let f;if(t.shouldExecuteOnCPU([m])){let d=t.texData.get(m.dataId).values,{outVals:h,outShape:g,outDtype:x}=gD(m.shape,m.dtype,d,c);f=t.makeTensorInfo(g,x,h)}else{let[d,h]=C.computeOutAndReduceShapes(m.shape,c),g=y.sizeFromShape(h),x=ue({inputs:{x:m},backend:t,attrs:{shape:[-1,g]}}),b=Kl(o.dtype),w=An(x,b,"prod",t);f=ue({inputs:{x:w},backend:t,attrs:{shape:d}}),l.push(x),l.push(w)}if(a){l.push(f);let d=C.expandShapeToKeepDim(f.shape,u);f=ue({inputs:{x:f},backend:t,attrs:{shape:d}})}return l.forEach(d=>t.disposeIntermediateTensorInfo(d)),f}var bF={kernelName:Ji,backendName:"webgl",kernelFunc:p9};var mC=r=>{let{backend:e,attrs:t}=r,{start:n,stop:o,step:s,dtype:a}=t,i=xD(n,o,s,a);return e.makeTensorInfo([i.length],a,i)},wF={kernelName:nl,backendName:"webgl",kernelFunc:mC};var m9="return 1.0 / x;",f9=_e({opSnippet:m9}),_F={kernelName:Qi,backendName:"webgl",kernelFunc:f9};var d9=br+ `
return ( x < 0.0 ) ? 0.0 : x ;
` ,h9= `
vec4 result = x * vec4 ( greaterThanEqual ( x , vec4 ( 0.0 ) ) ) ;
bvec4 isNaN = isnan ( x ) ;
result . r = isNaN . r ? x . r : result . r ;
result . g = isNaN . g ? x . g : result . g ;
result . b = isNaN . b ? x . b : result . b ;
result . a = isNaN . a ? x . a : result . a ;
return result ;
` ,g9=_e({opSnippet:d9,packedOpSnippet:h9}),kF={kernelName:Zo,backendName:"webgl",kernelFunc:g9};var x9=br+ `
return ( x < 0.0 ) ? 0.0 : min ( 6.0 , x ) ;
` ,y9= `
vec4 result = min ( x , vec4 ( 6. ) ) * vec4 ( greaterThanEqual ( x , vec4 ( 0.0 ) ) ) ;
bvec4 isNaN = isnan ( x ) ;
result . r = isNaN . r ? x . r : result . r ;
result . g = isNaN . g ? x . g : result . g ;
result . b = isNaN . b ? x . b : result . b ;
result . a = isNaN . a ? x . a : result . a ;
return result ;
` ,b9=_e({opSnippet:x9,packedOpSnippet:y9}),vF={kernelName:Qo,backendName:"webgl",kernelFunc:b9};var fC=class{constructor(e,t,n,o,s){this.variableNames=["A"],this.outputShape=[];let[a,i,l,u]=e;this.outputShape=[a,t,n,u];let c=[o&&t>1?i-1:i,o&&n>1?l-1:l],p=[o&&t>1?t-1:t,o&&n>1?n-1:n],m;s?m="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":m="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
const vec2 effectiveInputOverOutputRatioRC = vec2 (
$ { c [ 0 ] / p [ 0 ] } ,
$ { c [ 1 ] / p [ 1 ] } ) ;
const vec2 inputShapeRC = vec2 ( $ { i } . 0 , $ { l } . 0 ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 yRC = coords . yz ;
// Fractional source index.
vec2 sourceFracIndexRC = $ { m } ;
// Compute the four integer indices.
ivec2 sourceFloorRC = ivec2 ( max ( sourceFracIndexRC , vec2 ( 0.0 ) ) ) ;
ivec2 sourceCeilRC = ivec2 (
min ( inputShapeRC - 1.0 , ceil ( sourceFracIndexRC ) ) ) ;
float topLeft = getA ( b , sourceFloorRC . x , sourceFloorRC . y , d ) ;
float bottomLeft = getA ( b , sourceCeilRC . x , sourceFloorRC . y , d ) ;
float topRight = getA ( b , sourceFloorRC . x , sourceCeilRC . y , d ) ;
float bottomRight = getA ( b , sourceCeilRC . x , sourceCeilRC . y , d ) ;
vec2 fracRC = sourceFracIndexRC - vec2 ( sourceFloorRC ) ;
float top = topLeft + ( topRight - topLeft ) * fracRC . y ;
float bottom = bottomLeft + ( bottomRight - bottomLeft ) * fracRC . y ;
float newValue = top + ( bottom - top ) * fracRC . x ;
setOutput ( newValue ) ;
}
` }};var dC=class{constructor(e,t,n,o,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[a,i,l,u]=e;this.outputShape=[a,t,n,u];let c=[o&&t>1?i-1:i,o&&n>1?l-1:l],p=[o&&t>1?t-1:t,o&&n>1?n-1:n],m;s?m="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":m="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
const vec3 effectiveInputOverOutputRatioRC = vec3 (
$ { c [ 0 ] / p [ 0 ] } ,
$ { c [ 1 ] / p [ 1 ] } ,
$ { c [ 1 ] / p [ 1 ] } ) ;
const vec3 inputShapeRC = vec3 ( $ { i } . 0 , $ { l } . 0 ,
$ { l } . 0 ) ;
float getAValue ( int b , int r , int c , int d ) {
return getChannel ( getA ( b , r , c , d ) , vec2 ( c , d ) ) ;
}
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
// Calculate values for next column in yRC.z.
ivec3 yRC = coords . yzz + ivec3 ( 0 , 0 , 1 ) ;
// Fractional source index.
vec3 sourceFracIndexRC = $ { m } ;
// Compute the four integer indices.
ivec3 sourceFloorRC = ivec3 ( max ( sourceFracIndexRC , vec3 ( 0.0 ) ) ) ;
ivec3 sourceCeilRC = ivec3 (
min ( inputShapeRC - 1.0 , ceil ( sourceFracIndexRC ) ) ) ;
// Should we calculate next column and row elements in 2x2 packed cell.
bool hasNextCol = d < $ { u - 1 } ;
bool hasNextRow = coords . z < $ { n - 1 } ;
// In parallel, construct four corners for all four components in
// packed 2x2 cell.
vec4 topLeft = vec4 (
getAValue ( b , sourceFloorRC . x , sourceFloorRC . y , d ) ,
hasNextCol ? getAValue ( b , sourceFloorRC . x , sourceFloorRC . y , d + 1 )
: 0.0 ,
hasNextRow ? getAValue ( b , sourceFloorRC . x , sourceFloorRC . z , d )
: 0.0 ,
( hasNextRow && hasNextCol ) ?
getAValue ( b , sourceFloorRC . x , sourceFloorRC . z , d + 1 ) : 0.0 ) ;
vec4 bottomLeft = vec4 (
getAValue ( b , sourceCeilRC . x , sourceFloorRC . y , d ) ,
hasNextCol ? getAValue ( b , sourceCeilRC . x , sourceFloorRC . y , d + 1 )
: 0.0 ,
hasNextRow ? getAValue ( b , sourceCeilRC . x , sourceFloorRC . z , d )
: 0.0 ,
( hasNextRow && hasNextCol ) ?
getAValue ( b , sourceCeilRC . x , sourceFloorRC . z , d + 1 ) : 0.0 ) ;
vec4 topRight = vec4 (
getAValue ( b , sourceFloorRC . x , sourceCeilRC . y , d ) ,
hasNextCol ? getAValue ( b , sourceFloorRC . x , sourceCeilRC . y , d + 1 )
: 0.0 ,
hasNextRow ? getAValue ( b , sourceFloorRC . x , sourceCeilRC . z , d )
: 0.0 ,
( hasNextRow && hasNextCol ) ?
getAValue ( b , sourceFloorRC . x , sourceCeilRC . z , d + 1 ) : 0.0 ) ;
vec4 bottomRight = vec4 (
getAValue ( b , sourceCeilRC . x , sourceCeilRC . y , d ) ,
hasNextCol ? getAValue ( b , sourceCeilRC . x , sourceCeilRC . y , d + 1 )
: 0.0 ,
hasNextRow ? getAValue ( b , sourceCeilRC . x , sourceCeilRC . z , d )
: 0.0 ,
( hasNextRow && hasNextCol ) ?
getAValue ( b , sourceCeilRC . x , sourceCeilRC . z , d + 1 ) : 0.0 ) ;
vec3 fracRC = sourceFracIndexRC - vec3 ( sourceFloorRC ) ;
vec4 top = mix ( topLeft , topRight , fracRC . yyzz ) ;
vec4 bottom = mix ( bottomLeft , bottomRight , fracRC . yyzz ) ;
vec4 newValue = mix ( top , bottom , fracRC . x ) ;
setOutput ( newValue ) ;
}
` }};function w9(r){let{inputs:e,backend:t,attrs:n}=r,{images:o}=e,{alignCorners:s,halfPixelCenters:a,size:i}=n,[l,u]=i,c=W().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new dC(o.shape,l,u,s,a):new fC(o.shape,l,u,s,a);return t.runWebGLProgram(c,[o],"float32")}var CF={kernelName:Jo,backendName:"webgl",kernelFunc:w9};var hC=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,o,s]=t,[,a,i]=e,l=[n&&a>1?o-1:o,n&&i>1?s-1:s],u=[n&&a>1?a-1:a,n&&i>1?i-1:i],c=l[0]/u[0],p=l[1]/u[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode= `
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
float accumulator = 0.0 ;
const float heightScale = float ( $ { c } ) ;
const float widthScale = float ( $ { p } ) ;
const float invHeightScale = float ( $ { m } ) ;
const float invWidthScale = float ( $ { f } ) ;
const int winHeight = int ( $ { d } ) ;
const int winWidth = int ( $ { h } ) ;
// Compute bounds for where in dy we will look
float startRLerp = floor ( float ( r ) * invHeightScale ) ;
int startDyR = int ( startRLerp - float ( winHeight / 2 ) ) ;
float startCLerp = floor ( float ( c ) * invWidthScale ) ;
int startDyC = int ( startCLerp - float ( winWidth / 2 ) ) ;
// Loop over dy
for ( int dyROffset = 0 ; dyROffset < winHeight ; dyROffset ++ ) {
int dyR = dyROffset + startDyR ;
// Guard against the window exceeding the bounds of dy
if ( dyR < 0 || dyR >= $ { a } ) {
continue ;
}
for ( int dyCOffset = 0 ; dyCOffset < winWidth ; dyCOffset ++ ) {
int dyC = dyCOffset + startDyC ;
// Guard against the window exceeding the bounds of dy
if ( dyC < 0 || dyC >= $ { i } ) {
continue ;
}
float dxR = float ( dyR ) * heightScale ;
int topDxRIndex = int ( floor ( dxR ) ) ;
int bottomDxRIndex = int ( min ( ceil ( dxR ) , $ { o - 1 } . 0 ) ) ;
float dxRLerp = dxR - float ( topDxRIndex ) ;
float inverseDxRLerp = 1.0 - dxRLerp ;
float dxC = float ( dyC ) * widthScale ;
int leftDxCIndex = int ( floor ( dxC ) ) ;
int rightDxCIndex = int ( min ( ceil ( dxC ) , $ { s - 1 } . 0 ) ) ;
float dxCLerp = dxC - float ( leftDxCIndex ) ;
float inverseDxCLerp = 1.0 - dxCLerp ;
if ( r == topDxRIndex && c == leftDxCIndex ) {
// topLeft
accumulator +=
getDy ( b , dyR , dyC , d ) * inverseDxRLerp * inverseDxCLerp ;
}
if ( r == topDxRIndex && c == rightDxCIndex ) {
// topRight
accumulator += getDy ( b , dyR , dyC , d ) * inverseDxRLerp * dxCLerp ;
}
if ( r == bottomDxRIndex && c == leftDxCIndex ) {
// bottomLeft
accumulator += getDy ( b , dyR , dyC , d ) * dxRLerp * inverseDxCLerp ;
}
if ( r == bottomDxRIndex && c == rightDxCIndex ) {
// bottomRight
accumulator += getDy ( b , dyR , dyC , d ) * dxRLerp * dxCLerp ;
}
}
2021-03-05 20:31:06 +01:00
}
2021-04-28 14:58:21 +02:00
// End loop over dy
setOutput ( accumulator ) ;
2021-03-10 00:32:35 +01:00
}
2021-04-28 14:58:21 +02:00
` }};function _9(r){let{inputs:e,backend:t,attrs:n}=r,{images:o,dy:s}=e,{alignCorners:a}=n,i=new hC(s.shape,o.shape,a);return t.runWebGLProgram(i,[s],s.dtype)}var IF={kernelName:Bc,backendName:"webgl",kernelFunc:_9};var gC=class{constructor(e,t,n,o,s){this.variableNames=["A"],this.outputShape=[];let[a,i,l,u]=e;this.outputShape=[a,t,n,u];let c=[o&&t>1?i-1:i,o&&n>1?l-1:l],p=[o&&t>1?t-1:t,o&&n>1?n-1:n],m=o?"0.5":"0.0",f;s?f="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":f="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
const vec2 effectiveInputOverOutputRatioRC = vec2 (
$ { c [ 0 ] / p [ 0 ] } ,
$ { c [ 1 ] / p [ 1 ] } ) ;
const vec2 inputShapeRC = vec2 ( $ { i } . 0 , $ { l } . 0 ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 yRC = coords . yz ;
// Fractional source index.
vec2 sourceFracIndexRC = $ { f } ;
// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestRC = ivec2 (
min ( inputShapeRC - 1.0 , floor ( sourceFracIndexRC + $ { m } ) ) ) ;
float newValue = getA ( b , sourceNearestRC . x , sourceNearestRC . y , d ) ;
setOutput ( newValue ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};function k9(r){let{inputs:e,backend:t,attrs:n}=r,{images:o}=e,{alignCorners:s,halfPixelCenters:a,size:i}=n,[l,u]=i,c=new gC(o.shape,l,u,s,a);return t.runWebGLProgram(c,[o],o.dtype)}var NF={kernelName:ol,backendName:"webgl",kernelFunc:k9};var xC=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,o,s]=t,[,a,i]=e,l=[n&&a>1?o-1:o,n&&i>1?s-1:s],u=[n&&a>1?a-1:a,n&&i>1?i-1:i],c=l[0]/u[0],p=l[1]/u[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode= `
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
float accumulator = 0.0 ;
const float heightScale = float ( $ { c } ) ;
const float widthScale = float ( $ { p } ) ;
const float invHeightScale = float ( $ { m } ) ;
const float invWidthScale = float ( $ { f } ) ;
const int winHeight = int ( $ { d } ) ;
const int winWidth = int ( $ { h } ) ;
// Compute bounds for where in dy we will look
float startRLerp = floor ( float ( r ) * invHeightScale ) ;
int startDyR = int ( floor ( startRLerp - float ( winHeight / 2 ) ) ) ;
float startCLerp = floor ( float ( c ) * invWidthScale ) ;
int startDyC = int ( floor ( startCLerp - float ( winWidth / 2 ) ) ) ;
// Loop over dy
for ( int dyROffset = 0 ; dyROffset < winHeight ; dyROffset ++ ) {
int dyR = dyROffset + startDyR ;
// Guard against the window exceeding the bounds of dy
if ( dyR < 0 || dyR >= $ { a } ) {
continue ;
}
for ( int dyCOffset = 0 ; dyCOffset < winWidth ; dyCOffset ++ ) {
int dyC = dyCOffset + startDyC ;
// Guard against the window exceeding the bounds of dy
if ( dyC < 0 || dyC >= $ { i } ) {
continue ;
2021-04-19 22:19:03 +02:00
}
2021-04-28 14:58:21 +02:00
float sourceFracRow =
float ( $ { l [ 0 ] } ) *
( float ( dyR ) / float ( $ { u [ 0 ] } ) ) ;
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
float sourceFracCol =
float ( $ { l [ 1 ] } ) *
( float ( dyC ) / float ( $ { u [ 1 ] } ) ) ;
2021-04-19 22:19:03 +02:00
2021-04-28 14:58:21 +02:00
int sourceNearestRow = int ( min (
float ( int ( $ { o } ) - 1 ) ,
$ { n } ? float ( round ( sourceFracRow ) ) :
float ( floor ( sourceFracRow ) ) ) ) ;
int sourceNearestCol = int ( min (
float ( int ( $ { s } ) - 1 ) ,
$ { n } ? float ( round ( sourceFracCol ) ) :
float ( floor ( sourceFracCol ) ) ) ) ;
if ( r == sourceNearestRow && c == sourceNearestCol ) {
accumulator += getDy ( b , dyR , dyC , d ) ;
}
}
}
// End loop over dy
setOutput ( accumulator ) ;
}
` }};function v9(r){let{inputs:e,backend:t,attrs:n}=r,{images:o,dy:s}=e,{alignCorners:a}=n,i=new xC(s.shape,o.shape,a);return t.runWebGLProgram(i,[s],s.dtype)}var SF={kernelName:zc,backendName:"webgl",kernelFunc:v9};var yC=class{constructor(e,t){this.variableNames=["x"];let n=e.length;if(n>4)throw new Error( ` WebGL backend : Reverse of rank - $ { n } tensor is not yet supported ` );if(this.outputShape=e,n===1){this.userCode= `
void main ( ) {
int coord = getOutputCoords ( ) ;
setOutput ( getX ( $ { e [ 0 ] } - coord - 1 ) ) ;
}
` ;return}let o=i=>t.indexOf(i)!==-1&&e[i]!==1? ` $ { e [ i ] } - coords [ $ { i } ] - 1 ` : ` coords [ $ { i } ] ` ,s=e.map((i,l)=>o(l)).join(","),a=Ve(n);this.userCode= `
void main ( ) {
$ { a } coords = getOutputCoords ( ) ;
setOutput ( getX ( $ { s } ) ) ;
}
` }};var bC=class{constructor(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;let n=e.length;if(n>4)throw new Error( ` WebGL backend : Reverse of rank - $ { n } tensor is not yet supported ` );this.outputShape=e;let o=Wt("rc",n),s= ` $ { o [ n - 1 ] } + 1 < $ { this . outputShape [ n - 1 ] } ` ,a= ` $ { o [ n - 2 ] } + 1 < $ { this . outputShape [ n - 2 ] } ` ,i=Ve(n);n===1?this.userCode= `
void main ( ) {
int rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
result . r = getChannel ( getX ( $ { e [ 0 ] } - rc - 1 ) ,
$ { e [ 0 ] } - rc - 1 ) ;
if ( $ { s } ) {
result . g = getChannel ( getX ( $ { e [ 0 ] } - ( rc + 1 ) - 1 ) ,
$ { e [ 0 ] } - ( rc + 1 ) - 1 ) ;
}
setOutput ( result ) ;
}
` :this.userCode= `
void main ( ) {
$ { i } rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
result . r = $ { l ( o . slice ( ) ) } ;
if ( $ { s } ) {
result . g = $ { u ( o . slice ( ) ) } ;
}
if ( $ { a } ) {
result . b = $ { c ( o . slice ( ) ) } ;
if ( $ { s } ) {
result . a = $ { p ( o . slice ( ) ) } ;
}
}
setOutput ( result ) ;
}
` ;function l(d){return m(d)}function u(d){return d[n-1]="("+d[n-1]+" + 1)",m(d)}function c(d){return d[n-2]="("+d[n-2]+" + 1)",m(d)}function p(d){return d[n-1]="("+d[n-1]+" + 1)",d[n-2]="("+d[n-2]+" + 1)",m(d)}function m(d){let h=e.map((b,w)=>f(w,d)),g=h.join(","),x=h.slice(-2).join(",");return ` getChannel ( getX ( $ { g } ) , vec2 ( $ { x } ) ) ` }function f(d,h){return t.indexOf(d)!==-1&&e[d]!==1? ` $ { e [ d ] } - $ { h [ d ] } - 1 ` : ` $ { h [ d ] } ` }}};function C9(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{dims:s}=n,a=o.shape.length,i=y.parseAxisParam(s,o.shape);if(a===0)return jt({inputs:{x:o},backend:t});let l=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new bC(o.shape,i):new yC(o.shape,i);return t.runWebGLProgram(l,[o],o.dtype)}var TF={kernelName:es,backendName:"webgl",kernelFunc:C9};var wC=class{constructor(e,t){this.variableNames=["Image"],this.outputShape=[];let n=e[1],o=e[2];this.outputShape=e;let s="";typeof t=="number"?s= ` float outputValue = $ { t . toFixed ( 2 ) } ; ` :s= `
vec3 fill = vec3 ( $ { t . join ( "," ) } ) ;
float outputValue = fill [ coords [ 3 ] ] ; ` ,this.userCode= `
uniform vec4 params ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int x = coords [ 2 ] ;
int y = coords [ 1 ] ;
float coordXFloat = ( float ( x ) - params [ 0 ] ) * params [ 3 ] -
( float ( y ) - params [ 1 ] ) * params [ 2 ] ;
float coordYFloat = ( float ( x ) - params [ 0 ] ) * params [ 2 ] +
( float ( y ) - params [ 1 ] ) * params [ 3 ] ;
int coordX = int ( round ( coordXFloat + params [ 0 ] ) ) ;
int coordY = int ( round ( coordYFloat + params [ 1 ] ) ) ;
$ { s }
if ( coordX >= 0 && coordX < $ { o } && coordY >= 0 && coordY < $ { n } ) {
outputValue = getImage ( coords [ 0 ] , coordY , coordX , coords [ 3 ] ) ;
}
setOutput ( outputValue ) ;
}
` }getCustomSetupFunc(e,t,n,o){return(s,a)=>{this.paramsLoc==null&&(this.paramsLoc=s.getUniformLocationNoThrow(a,"params")),s.gl.uniform4f(this.paramsLoc,e,t,n,o)}}};var AF={kernelName:aa,backendName:"webgl",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{image:n}=r,{radians:o,fillValue:s,center:a}=e,i=t,l=new wC(n.shape,s),[u,c]=C.getImageCenter(a,n.shape[1],n.shape[2]),p=l.getCustomSetupFunc(u,c,Math.sin(o),Math.cos(o));return i.runWebGLProgram(l,[n],n.dtype,p)}};var I9= `
// OpenGL ES does not support round function.
// The algorithm is based on banker's rounding.
float base = floor ( x ) ;
if ( ( x - base ) < 0.5 ) {
return floor ( x ) ;
} else if ( ( x - base ) > 0.5 ) {
return ceil ( x ) ;
} else {
if ( mod ( base , 2.0 ) == 0.0 ) {
return base ;
2021-04-28 14:55:26 +02:00
} else {
2021-04-28 14:58:21 +02:00
return base + 1.0 ;
2021-04-28 14:55:26 +02:00
}
}
2021-04-28 14:58:21 +02:00
` ,N9=_e({opSnippet:I9}),EF={kernelName:ts,backendName:"webgl",kernelFunc:N9};var S9="return inversesqrt(x);",T9=_e({opSnippet:S9,cpuKernelImpl:yD}),DF={kernelName:rs,backendName:"webgl",kernelFunc:T9};var Gf=class{constructor(e,t,n,o,s,a,i=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;let l=Ve(s.length),u=Ve(a.length),c="";n===1?c="i":n===2&&(c="i, j");let p= ` getIndices ( $ { c } ) ` ,m="";o===1?m="i":o===2&&(m="i, coords[1]");let f= ` getUpdates ( $ { m } ) ` ,d=t>1?"strides[j]":"strides";this.userCode= `
$ { l } strides = $ { l } ( $ { s } ) ;
void main ( ) {
$ { u } coords = getOutputCoords ( ) ;
float sum = 0.0 ;
bool found = false ;
for ( int i = 0 ; i < $ { e } ; i ++ ) {
int flattenedIndex = 0 ;
for ( int j = 0 ; j < $ { t } ; j ++ ) {
int index = round ( $ { p } ) ;
flattenedIndex += index * $ { d } ;
}
if ( flattenedIndex == coords [ 0 ] ) {
sum += $ { f } ;
found = true ;
}
}
setOutput ( mix ( getDefaultValue ( ) , sum , float ( found ) ) ) ;
}
` }};function A9(r){let{inputs:e,backend:t,attrs:n}=r,{indices:o,updates:s}=e,{shape:a}=n,{sliceRank:i,numUpdates:l,sliceSize:u,strides:c,outputSize:p}=C.calculateShapes(s,o,a),m=[p/u,u];if(p===0)return t.makeTensorInfo(a,o.dtype);let f=ue({inputs:{x:o},backend:t,attrs:{shape:[l,i]}}),d=ue({inputs:{x:s},backend:t,attrs:{shape:[l,u]}}),h=t.makeTensorInfo([],"float32",new Float32Array([0])),g=new Gf(l,i,f.shape.length,d.shape.length,c,m),x=t.runWebGLProgram(g,[d,f,h],d.dtype),b=ue({inputs:{x},backend:t,attrs:{shape:a}});return t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(d),t.disposeIntermediateTensorInfo(x),t.disposeIntermediateTensorInfo(h),b}var $ F={kernelName:ea,backendName:"webgl",kernelFunc:A9};var _C=class{constructor(e,t,n){this.variableNames=["c","a","b"],this.outputShape=t;let o,s;if(n>4)throw Error( ` Where for rank $ { n } is not yet supported ` );if(n===1)s="resRC",o="resRC";else{let i=["resRC.x","resRC.y","resRC.z","resRC.w"],l=[],u=[];for(let c=0;c<t.length;c++)u.push( ` $ { i [ c ] } ` ),c<e&&l.push( ` $ { i [ c ] } ` );o=l.join(),s=u.join()}let a=Ve(n);this.userCode= `
void main ( ) {
$ { a } resRC = getOutputCoords ( ) ;
float cVal = getC ( $ { o } ) ;
if ( cVal >= 1.0 ) {
setOutput ( getA ( $ { s } ) ) ;
} else {
setOutput ( getB ( $ { s } ) ) ;
2021-04-19 22:19:03 +02:00
}
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};function E9(r){let{inputs:e,backend:t}=r,{condition:n,t:o,e:s}=e,a=new _C(n.shape.length,o.shape,o.shape.length);return t.runWebGLProgram(a,[n,o,s],ar(o.dtype,s.dtype))}var RF={kernelName:qs,backendName:"webgl",kernelFunc:E9};var D9= `
// Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
// see: https://arxiv.org/abs/1706.02515
float scaleAlpha = $ { C . SELU _SCALEALPHA } ;
float scale = $ { C . SELU _SCALE } ;
return ( x >= 0.0 ) ? scale * x : scaleAlpha * ( exp ( x ) - 1.0 ) ;
` , $ 9=_e({opSnippet:D9}),FF={kernelName:ta,backendName:"webgl",kernelFunc: $ 9};var R9="return 1.0 / (1.0 + exp(-1.0 * x));",F9=_e({opSnippet:R9}),OF={kernelName:os,backendName:"webgl",kernelFunc:F9};var O9= `
if ( isnan ( x ) ) { return 0.0 ; }
return sign ( x ) ;
` ,P9=_e({opSnippet:O9}),PF={kernelName:na,backendName:"webgl",kernelFunc:P9};var M9=mx+ `
return sin ( x ) ;
` ,L9=_e({opSnippet:M9}),MF={kernelName:ns,backendName:"webgl",kernelFunc:L9};var z9= `
float e2x = exp ( x ) ;
return ( e2x - 1.0 / e2x ) / 2.0 ;
` ,B9=_e({opSnippet:z9}),LF={kernelName:ra,backendName:"webgl",kernelFunc:B9};var V9= `
float epsilon = 1.1920928955078125 e - 7 ;
float threshold = log ( epsilon ) + 2.0 ;
bool too _large = x > - threshold ;
bool too _small = x < threshold ;
float result ;
float exp _x = exp ( x ) ;
if ( too _large ) {
result = x ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
else if ( too _small ) {
result = exp _x ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
else {
result = log ( exp _x + 1.0 ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
return result ;
` ,G9=_e({opSnippet:V9}),zF={kernelName:oa,backendName:"webgl",kernelFunc:G9};var W9=r=>{let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{blockShape:s,paddings:a}=n;y.assert(o.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let i=s.reduce((x,b)=>x*b),l=[[0,0]];l.push(...a);for(let x=1+s.length;x<o.shape.length;++x)l.push([0,0]);let u=[],c=pC({inputs:{x:o},backend:t,attrs:{paddings:l,constantValue:0}}),p=C.getReshaped(c.shape,s,i,!1),m=C.getPermuted(p.length,s.length,!1),f=C.getReshapedPermuted(c.shape,s,i,!1),d=ue({inputs:{x:c},backend:t,attrs:{shape:p}}),h= $ t({inputs:{x:d},backend:t,attrs:{perm:m}}),g=ue({inputs:{x:h},backend:t,attrs:{shape:f}});return u.push(c),u.push(d),u.push(h),u.forEach(x=>t.disposeIntermediateTensorInfo(x)),g},BF={kernelName:sl,backendName:"webgl",kernelFunc:W9};function j9(r){let{inputs:e,backend:t}=r,{inputIndices:n,inputShape:o,newShape:s}=e;if(n.shape.length!==2)throw new Error( ` Input indices should be a matrix but received shape $ { n . shape } ` );if(o.shape.length!==1)throw new Error( ` Input shape should be a vector but received shape $ { o . shape } ` );if(s.shape.length!==1)throw new Error( ` Target shape should be a vector but received shape $ { s . shape } ` );let a=Array.from(t.readSync(o.dataId)),i=t.readSync(n.dataId),l=Array.from(t.readSync(s.dataId)),[u,c,p]=wD(i,n.shape,n.dtype,a,l);return[t.makeTensorInfo(c,n.dtype,u),t.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var VF={kernelName:Vc,backendName:"webgl",kernelFunc:j9};function U9(r){let{inputs:e,backend:t,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:a}=e,{outputShape:i}=n,{sliceRank:l,numUpdates:u,strides:c,outputSize:p}=C.calculateShapes(s,o,i),m=!1,f=new Gf(u,l,o.shape.length,s.shape.length,c,[p,1],m),d=t.runWebGLProgram(f,[s,o,a],s.dtype),h=ue({inputs:{x:d},backend:t,attrs:{shape:i}});return t.disposeIntermediateTensorInfo(d),h}var GF={kernelName:Gc,backendName:"webgl",kernelFunc:U9};function H9(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{numOrSizeSplits:s,axis:a}=n,i=y.parseAxisParam(a,o.shape)[0],l=C.prepareSplitSize(o,s,i),u=o.shape.length,c=new Array(u).fill(0),p=o.shape.slice();return l.map(m=>{let f=[...p];f[i]=m;let d= $ a({inputs:{x:o},backend:t,attrs:{begin:c,size:f}});return c[i]+=m,d})}var WF={kernelName:Xs,backendName:"webgl",kernelFunc:H9};var q9="return sqrt(x);",K9=_e({opSnippet:q9}),jF={kernelName:ss,backendName:"webgl",kernelFunc:K9};var X9="return x * x;",Y9=_e({opSnippet:X9}),UF={kernelName:il,backendName:"webgl",kernelFunc:Y9};var HF="return (a - b) * (a - b);",Z9=st({opSnippet:HF,packedOpSnippet:HF}),qF={kernelName:ls,backendName:"webgl",kernelFunc:Z9};function J9({inputs:r,attrs:e,backend:t}){let{x:n}=r,o=br+ `
return x > 0.0 ? 1.0 : float ( $ { e . alpha } ) ;
` ,s=new gn(n.shape,o);return t.runWebGLProgram(s,[n],n.dtype)}var KF={kernelName:Yn,backendName:"webgl",kernelFunc:J9};var kC=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=n;let o=n.length,s=Ve(n.length),a=Ve(n.length),i="";if(o===1)i="coords * strides + begin";else{let l=0;i=n.map((u,c)=>(l++,n.length===1? ` coords * strides [ $ { c } ] + begin [ $ { c } ] ` : ` coords [ $ { l - 1 } ] * strides [ $ { c } ] + begin [ $ { c } ] ` )).join(",")}this.userCode= `
$ { s } begin = $ { s } ( $ { e } ) ;
$ { s } strides = $ { s } ( $ { t } ) ;
void main ( ) {
$ { a } coords = getOutputCoords ( ) ;
setOutput ( getX ( $ { i } ) ) ;
}
` }};function Q9(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{begin:s,end:a,strides:i,beginMask:l,endMask:u,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n,{nonStrided:f, $ begin:d, $ strides:h,size:g,newShape:x,outShape:b}=rr.sliceInfo(o.shape,s,a,i,l,u,c,p,m),w=ue({inputs:{x:o},backend:t,attrs:{shape:x}}),_;if(f){let E= $ a({inputs:{x:w},backend:t,attrs:{begin:d,size:g}});_=ue({inputs:{x:E},backend:t,attrs:{shape:b}}),t.disposeIntermediateTensorInfo(E)}else if(b.some(E=>E===0))_=t.makeTensorInfo(b,o.dtype,[]);else if(t.shouldExecuteOnCPU([w])){let D=t.texData.get(w.dataId).values,O=Ce(w.shape,w.dtype,D),M=_D(b,O,h,d);_=t.makeTensorInfo(b,w.dtype,M.values)}else{let $ =new kC(d,h,b);_=t.runWebGLProgram( $ ,[w],w.dtype)}let I=ue({inputs:{x:_},backend:t,attrs:{shape:b}});return t.disposeIntermediateTensorInfo(w),t.disposeIntermediateTensorInfo(_),I}var XF={kernelName:sa,backendName:"webgl",kernelFunc:Q9};var eZ="return tan(x);",tZ=_e({opSnippet:eZ}),YF={kernelName:cs,backendName:"webgl",kernelFunc:tZ};var rZ= `
float e2x = exp ( - 2.0 * abs ( x ) ) ;
return sign ( x ) * ( 1.0 - e2x ) / ( 1.0 + e2x ) ;
` ,nZ=_e({opSnippet:rZ}),ZF={kernelName:ps,backendName:"webgl",kernelFunc:nZ};var vC=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let a=0;a<n.length;a++)n[a]=e[a]*t[a];this.outputShape=n,this.rank=n.length;let o=Ve(this.rank),s=oZ(e);this.userCode= `
void main ( ) {
$ { o } resRC = getOutputCoords ( ) ;
setOutput ( getA ( $ { s } ) ) ;
}
` }};function oZ(r){let e=r.length;if(e>5)throw Error( ` Tile for rank $ { e } is not yet supported ` );if(e===1)return ` imod ( resRC , $ { r [ 0 ] } ) ` ;let t=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],n=[];for(let o=0;o<r.length;o++)n.push( ` imod ( $ { t [ o ] } , $ { r [ o ] } ) ` );return n.join()}function CC(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{reps:s}=n;if(o.dtype==="string"||o.shape.length>5){let u=t.readSync(o.dataId).map(m=>y.decodeString(m)),c=Ce(o.shape,o.dtype,u),p=vD(c,s);return t.makeTensorInfo(p.shape,p.dtype,p.values)}let a=new vC(o.shape,s);return t.runWebGLProgram(a,[o],o.dtype)}var JF={kernelName:Pn,backendName:"webgl",kernelFunc:CC};function sZ(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{k:s,sorted:a}=n,i=t.readSync(o.dataId),[l,u]=CD(i,o.shape,o.dtype,s,a);return[t.makeTensorInfo(l.shape,l.dtype,l.values),t.makeTensorInfo(u.shape,u.dtype,u.values)]}var QF={kernelName:ia,backendName:"webgl",kernelFunc:sZ};var IC=class{constructor(e,t,n,o,s,a){this.variableNames=["Image","Transforms"],this.outputShape=a;let i=n==="nearest"?1:2,l;switch(o){case"constant":l=1;break;case"reflect":l=2;break;case"wrap":l=3;break;case"nearest":l=4;break;default:l=1;break}this.userCode= `
float mapCoord ( float outCoord , float len ) {
float inCoord = outCoord ;
if ( $ { l } == 2 ) {
if ( inCoord < 0.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz2 = 2.0 * len ;
if ( inCoord < sz2 ) {
inCoord = sz2 * float ( int ( float ( - inCoord / sz2 ) ) ) +
inCoord ;
}
inCoord = inCoord < - len ? inCoord + sz2 : - inCoord - 1.0 ;
}
} else if ( inCoord > len - 1.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz2 = 2.0 * len ;
inCoord -= sz2 * float ( int ( float ( inCoord / sz2 ) ) ) ;
if ( inCoord >= len ) {
inCoord = sz2 - inCoord - 1.0 ;
}
}
}
return clamp ( inCoord , 0.0 , len - 1.0 ) ;
} else if ( $ { l } == 3 ) {
if ( inCoord < 0.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz = len - 1.0 ;
inCoord += len * ( float ( int ( float ( - inCoord / sz ) ) ) + 1.0 ) ;
}
} else if ( inCoord > len - 1.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz = len - 1.0 ;
inCoord -= len * float ( int ( float ( inCoord / sz ) ) ) ;
}
}
return clamp ( inCoord , 0.0 , len - 1.0 ) ;
} else if ( $ { l } == 4 ) {
return clamp ( outCoord , 0.0 , len - 1.0 ) ;
} else {
return outCoord ;
}
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
float readWithFillValue ( int batch , int coordY , int coordX ,
int channel ) {
float outputValue ;
if ( 0 <= coordY && coordY < $ { e } && 0 <= coordX && coordX < $ { t } ) {
outputValue = getImage ( batch , coordY , coordX , channel ) ;
} else {
outputValue = float ( $ { s } ) ;
}
return outputValue ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
float outputValue ;
int batch = coords [ 0 ] ;
int x = coords [ 2 ] ;
int y = coords [ 1 ] ;
int channel = coords [ 3 ] ;
float xf = float ( x ) ;
float yf = float ( y ) ;
float a1 = getTransforms ( batch , 0 ) ;
float a2 = getTransforms ( batch , 1 ) ;
float a3 = getTransforms ( batch , 2 ) ;
float b1 = getTransforms ( batch , 3 ) ;
float b2 = getTransforms ( batch , 4 ) ;
float b3 = getTransforms ( batch , 5 ) ;
float c1 = getTransforms ( batch , 6 ) ;
float c2 = getTransforms ( batch , 7 ) ;
float projection = c1 * xf + c2 * yf + 1.0 ;
if ( projection == 0.0 ) {
outputValue = float ( $ { s } ) ;
} else {
float inX = ( a1 * xf + a2 * yf + a3 ) / projection ;
float inY = ( b1 * xf + b2 * yf + b3 ) / projection ;
float mapX = mapCoord ( inX , float ( $ { t } ) ) ;
float mapY = mapCoord ( inY , float ( $ { e } ) ) ;
if ( $ { i } == 1 ) {
int coordY = int ( round ( mapY ) ) ;
int coordX = int ( round ( mapX ) ) ;
outputValue = readWithFillValue ( batch , coordY , coordX ,
channel ) ;
} else {
float yFloor = floor ( mapY ) ;
float xFloor = floor ( mapX ) ;
float yCeil = yFloor + 1.0 ;
float xCeil = xFloor + 1.0 ;
float valueYFloor = ( xCeil - mapX ) *
readWithFillValue ( batch , int ( yFloor ) , int ( xFloor ) , channel ) +
( mapX - xFloor ) *
readWithFillValue ( batch , int ( yFloor ) , int ( xCeil ) , channel ) ;
float valueYCeil = ( xCeil - mapX ) *
readWithFillValue ( batch , int ( yCeil ) , int ( xFloor ) , channel ) +
( mapX - xFloor ) *
readWithFillValue ( batch , int ( yCeil ) , int ( xCeil ) , channel ) ;
outputValue = ( yCeil - mapY ) * valueYFloor +
( mapY - yFloor ) * valueYCeil ;
}
}
setOutput ( outputValue ) ;
}
` }};function iZ(r){let{inputs:e,backend:t,attrs:n}=r,{image:o,transforms:s}=e,{interpolation:a,fillMode:i,fillValue:l,outputShape:u}=n,[c,p,m,f]=o.shape,[d,h]=u!=null?u:[p,m],g=[c,d,h,f],x=new IC(p,m,a,i,l,g);return t.runWebGLProgram(x,[o,s],"float32")}var eO={kernelName:Wc,backendName:"webgl",kernelFunc:iZ};function aZ(r){let{inputs:e,attrs:t,backend:n}=r,{axis:o}=t,{x:s}=e;vs(s,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let a=n.readSync(s.dataId),{outputValues:i,outputShape:l,indices:u}=ID(a,o,s.shape,s.dtype);return[n.makeTensorInfo(l,s.dtype,i),n.makeTensorInfo([u.length],"int32",u)]}var tO={kernelName:jc,backendName:"webgl",kernelFunc:aZ};function lZ(r){let{inputs:e,backend:t,attrs:n}=r,{value:o}=e,{axis:s}=n;s<0&&(s+=o.shape.length);let a=o,i=a.shape.length,l=o.shape[s],u=new Array(i-1),c=0;for(let h=0;h<i;h++)h!==s&&(u[c++]=a.shape[h]);let p=[],m=new Array(i).fill(0),f=a.shape.slice();f[s]=1;let d=new Array(l);for(let h=0;h<d.length;h++){m[s]=h;let g= $ a({inputs:{x:a},backend:t,attrs:{begin:m,size:f}}),x=ue({inputs:{x:g},backend:t,attrs:{shape:u}});d[h]=x,p.push(g)}return p.forEach(h=>t.disposeIntermediateTensorInfo(h)),d}var rO={kernelName:Ys,backendName:"webgl",kernelFunc:lZ};var NC=class{constructor(e,t){this.variableNames=["x","segmentIds"];let n=e.windowSize,o=e.batchSize,s=e.inSize,a=e.numSegments,i=a*Math.ceil(s/n);this.outputShape=[o,i];let l="0.0",u="sumValue",c=Math.floor(n/4)*4,p=n%4,m= `
sumValue += dot ( values , segFilter ) ;
` ,f="";s%n>0&&(f= `
if ( inIdx < 0 || inIdx >= $ { s } ) {
return initializationValue ;
}
` );let d="";s%n>0&&(d= `
if ( inIdx < 0 || inIdx >= $ { s } ) {
return - 1.0 ;
}
` ),this.userCode= `
const float initializationValue = $ { l } ;
float getValue ( int batch , int inIdx ) {
$ { f }
return getX ( batch , inIdx ) ;
}
float getSegmentIdAtIndex ( int inIdx ) {
$ { d }
return getSegmentIds ( inIdx ) ;
}
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = int ( floor ( float ( outIdx ) / float (
$ { a } ) ) * float ( $ { n } ) ) ;
int currentSeg = int ( mod ( float ( outIdx ) , float ( $ { a } ) ) ) ;
float sumValue = 0.0 ;
for ( int i = 0 ; i < $ { c } ; i += 4 ) {
int inIdx = inOffset + i ;
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
vec4 segFilter = vec4 (
int ( getSegmentIdAtIndex ( inIdx ) ) == currentSeg ? 1 : 0 ,
int ( getSegmentIdAtIndex ( inIdx + 1 ) ) == currentSeg ? 1 : 0 ,
int ( getSegmentIdAtIndex ( inIdx + 2 ) ) == currentSeg ? 1 : 0 ,
int ( getSegmentIdAtIndex ( inIdx + 3 ) ) == currentSeg ? 1 : 0
) ;
$ { m }
}
int inIdx = inOffset + $ { c } ;
if ( $ { p === 1 } ) {
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
int inIdxSeg = int ( getSegmentIdAtIndex ( inIdx ) ) ;
vec4 segFilter = vec4 (
int ( getSegmentIdAtIndex ( inIdx ) ) == currentSeg ? 1 : 0 ,
0 ,
0 ,
0
) ;
$ { m }
} else if ( $ { p === 2 } ) {
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
initializationValue ,
initializationValue
) ;
vec4 segFilter = vec4 (
int ( getSegmentIdAtIndex ( inIdx ) ) == currentSeg ? 1 : 0 ,
int ( getSegmentIdAtIndex ( inIdx + 1 ) ) == currentSeg ? 1 : 0 ,
0 ,
0
) ;
$ { m }
} else if ( $ { p === 3 } ) {
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
initializationValue
) ;
vec4 segFilter = vec4 (
int ( getSegmentIdAtIndex ( inIdx ) ) == currentSeg ? 1 : 0 ,
int ( getSegmentIdAtIndex ( inIdx + 1 ) ) == currentSeg ? 1 : 0 ,
int ( getSegmentIdAtIndex ( inIdx + 2 ) ) == currentSeg ? 1 : 0 ,
0
) ;
$ { m }
2021-02-21 19:34:26 +01:00
}
2021-04-28 14:58:21 +02:00
setOutput ( $ { u } ) ;
2021-04-28 14:55:26 +02:00
}
2021-04-28 14:58:21 +02:00
` }};function uZ(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,segmentIds:s}=e,{numSegments:a}=n,i=o.shape.length,l=[],u=0,c=C.getAxesPermutation([u],i),p=o;c!=null&&(p= $ t({inputs:{x:o},backend:t,attrs:{perm:c}}),l.push(p),u=C.getInnerMostAxes(1,i)[0]);let m=C.segment_util.computeOutShape(p.shape,u,a),f=y.sizeFromShape([p.shape[u]]),d=ue({inputs:{x:p},backend:t,attrs:{shape:[-1,f]}});l.push(d);let h=Kl(o.dtype),g=(_,I,E, $ ,D)=>{let O=_.shape[0],M=_.shape[1],G=C.segment_util.segOpComputeOptimalWindowSize(M,D),j={windowSize:G,inSize:M,batchSize:O,numSegments:D},U=new NC(j,I),H=t.compileAndRun(U,[_,E], $ );if(l.push(H),H.shape[1]===D)return H;let q=mC({backend:t,attrs:{start:0,stop:D,step:1,dtype:"float32"}}),X=CC({inputs:{x:q},backend:t,attrs:{reps:[M/G]}});return l.push(q),l.push(X),g(H,I,X, $ ,D)},x=g(d,"unsortedSegmentSum",s,h,a),b=ue({inputs:{x},backend:t,attrs:{shape:m}}),w=b;if(c!=null){l.push(b);let _=C.getUndoAxesPermutation(c);w= $ t({inputs:{x:w},backend:t,attrs:{perm:_}})}return l.forEach(_=>t.disposeIntermediateTensorInfo(_)),w}var nO={kernelName:al,backendName:"webgl",kernelFunc:uZ};var cZ=[zR,BR,e $ ,r $ ,n $ ,o $ ,i $ ,a $ ,l $ ,u $ ,m $ ,f $ ,d $ ,h $ ,x $ ,g $ ,y $ ,w $ ,b $ ,_ $ ,k $ ,v $ ,C $ ,N $ ,S $ ,D $ ,R $ ,F $ ,P $ ,GD,L $ ,B $ ,V $ ,z $ ,W $ ,j $ ,G $ ,U $ ,H $ ,q $ ,Y $ ,Z $ ,J $ ,eR,tR,Q $ ,rR,nR,oR,sR,iR,aR,lR,cR,pR,fR,dR,hR,gR,yR,bR,wR,_R,kR,vR,CR,IR,NR,VD,SR,M $ ,TR,AR,ER,WD,DR, $ R,RR,OR,FR,PR,MR,LR,GR,UR,jR,HR,qR,XR,WR,ZR,JR,QR,eF,tF,iF,KD,lF,uF,cF,pF,T $ ,mF,hF,gF,xF,yF,jD,bF,wF,A $ ,rF,_F,vF,kF,YD,CF,IF,NF,SF,TF,AF,EF,DF, $ F,RF,FF,OF,PF,MF,LF,I $ ,sF,zF,BF,VF,GF,WF,jF,UF,qF,KF,XF,oF,JD,YF,ZF,JF,QF,eO,QD,tO,rO,nO,fF];for(let r of cZ)Hl(r);var Rt;(function(r){r[r.float32=0]="float32",r[r.int32=1]="int32",r[r.bool=2]="bool",r[r.string=3]="string",r[r.complex64=4]="complex64"})(Rt||(Rt={}));var vl;(function(r){r[r.linear=0]="linear",r[r.relu=1]="relu",r[r.relu6=2]="relu6",r[r.prelu=3]="prelu",r[r.leakyrelu=4]="leakyrelu",r[r.sigmoid=5]="sigmoid"})(vl||(vl={}));var oO;function pZ(r){oO=r.wasm.cwrap(Js,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function mZ(r){let{inputs:e,backend:t,attrs:n}=r,{a:o,b:s,bias:a,preluActivationWeights:i}=e;if(o.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:l,transposeB:u,activation:c,leakyreluAlpha:p}=n,m=t.dataIdMap.get(o.dataId).id,f=t.dataIdMap.get(s.dataId).id,d=0;if(a!=null){let D=t.dataIdMap.get(a.dataId);if(D.shape.length!==1)throw new Error( ` _FusedMatMul only supports rank - 1 bias but got rank $ { D . shape . length } . ` );d=D.id}let h=i==null?0:t.dataIdMap.get(i.dataId).id,g=vl[c];if(g==null)throw new Error( ` $ { c } activation not yet supported for FusedConv2D in the wasm backend . ` );let x=l?o.shape[2]:o.shape[1],b=u?s.shape[1]:s.shape[2],w=o.shape[0],_=t.makeOutput([w,x,b],o.dtype),I=t.dataIdMap.get(_.dataId).id,E=new Uint8Array(new Int32Array(o.shape).buffer), $ =new Uint8Array(new Int32Array(s.shape).buffer);return oO(m,E,o.shape.length,f, $ ,s.shape.length,l,u,g,d,h,p||0,I),_}var sO={kernelName:Js,backendName:"wasm",setupFunc:pZ,kernelFunc:mZ};function xt(r){let e;function t(o){e=o.wasm.cwrap(r,null,["number","number"])}function n(o){let{backend:s,inputs:{x:a}}=o,i=s.dataIdMap.get(a.dataId).id,l=s.makeOutput(a.shape,a.dtype),u=s.dataIdMap.get(l.dataId).id;return y.sizeFromShape(l.shape)===0||e(i,u),l}return{kernelName:r,backendName:"wasm",setupFunc:t,kernelFunc:n}}var iO=xt(zs);function yt(r,e,t){let n;function o(a){n=a.wasm.cwrap(r,null,["number","array","number","number","array","number","number","number"])}function s(a){let{backend:i,inputs:l}=a,{a:u,b:c}=l,p=i.dataIdMap.get(u.dataId).id,m=i.dataIdMap.get(c.dataId).id,f=t!=null?t:u.dtype,d=C.assertAndGetBroadcastShape(u.shape,c.shape),h=i.makeOutput(d,f);if(y.sizeFromShape(d)===0)return h;let g=new Uint8Array(new Int32Array(u.shape).buffer),x=new Uint8Array(new Int32Array(c.shape).buffer),b=i.dataIdMap.get(h.dataId).id,w=()=>n(p,g,u.shape.length,m,x,c.shape.length,Rt[u.dtype],b);if(e&&u.dtype==="float32")return w(),h;let _=C.getBroadcastDims(u.shape,
1. The $ { n } is defined in Python , in which case it needs to be ported to TensorFlow . js or your JavaScript code .
2. The custom $ { n } is defined in JavaScript , but is not registered properly with tf . serialization . registerClass ( ) . ` );return a}else{let s=r;if(s.className==null||s.config==null)throw new z( ` $ { n } : Improper config format : $ { JSON . stringify ( s ) } .
'className' and 'config' must set . ` );let a=s.className,i,l;if(a in t?[i,l]=t[a]:a in fo?[i,l]=fo.className:a in e&&([i,l]=e[a]),i==null)throw new z( ` Unknown $ { n } : $ { a } . This may be due to one of the following reasons :
1. The $ { n } is defined in Python , in which case it needs to be ported to TensorFlow . js or your JavaScript code .
2. The custom $ { n } is defined in JavaScript , but is not registered properly with tf . serialization . registerClass ( ) . ` );if(l!=null){let u={};for(let f of Object.keys(fo))u[f]=fo[f];for(let f of Object.keys(t))u[f]=t[f];let c=s.config;c.customObjects=u;let p=Object.assign({},fo);for(let f of Object.keys(t))fo[f]=t[f];jC(s.config);let m=l(i,s.config,t,o);return fo=Object.assign({},p),m}else{let u=Object.assign({},fo);for(let p of Object.keys(t))fo[p]=t[p];let c=new i(s.config);return fo=Object.assign({},u),c}}}function MQ(r,e){return r<e?-1:r>e?1:0}function qf(r,e){return-1*MQ(r,e)}function ho(r){if(r==null)return r;let e=[];for(let t of r)e.indexOf(t)===-1&&e.push(t);return e}function Pz(r){if(r==null)throw new z( ` Invalid value in obj : $ { JSON . stringify ( r ) } ` );for(let e in r)if(r.hasOwnProperty(e))return!1;return!0}function pi(r,e,t){if(t!=null&&r.indexOf(t)<0)throw new z( ` $ { t } is not a valid $ { e } . Valid values are $ { r } or null / undefined . ` )}function Dx(r,e,t=0,n=Infinity){return Gn(t>=0),Gn(n>=t),Array.isArray(r)&&r.length>=t&&r.length<=n&&r.every(o=>typeof o===e)}function Ut(r,e){Array.isArray(r)?(y.assert(r.length>0,()=> ` $ { e } is unexpectedly an empty array . ` ),r.forEach((t,n)=>Ut(t, ` element $ { n + 1 } of $ { e } ` ))):y.assert(Number.isInteger(r)&&r>0,()=> ` Expected $ { e } to be a positive integer , but got $ { Mz ( r ) } . ` )}function Mz(r){return r===null?"null":Array.isArray(r)?"["+r.map(e=>Mz(e)).join(",")+"]":typeof r=="string"? ` "${r}" ` : ` $ { r } ` }function Lz(r,e){let t=y.now(),n;return(...s)=>{let a=y.now();return a-t<e||(t=a,n=r(...s)),n}}function $ x(r){return r==="relu"?"relu":r==="linear"?"linear":r==="elu"?"elu":null}function UC(r,e){return V(()=>gt(ge(P(r,r),e,!0)))}var Op=class extends J.Serializable{getConfig(){return{}}},Kf=class extends Op{constructor(e){super();this.defaultMaxValue=2,this.defaultAxis=0,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return V(()=>{let t=UC(e,this.axis),n=lr(t,0,this.maxValue);return P(e,me(n,ee(er(),t)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};Kf.className="MaxNorm";J.registerClass(Kf);var Xf=class extends Op{constructor(e){super();this.defaultAxis=0,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return V(()=>me(e,ee(er(),UC(e,this.axis))))}getConfig(){return{axis:this.axis}}};Xf.className="UnitNorm";J.registerClass(Xf);var Yf=class extends Op{apply(e){return Dr(e)}};Yf.className="NonNeg";J.registerClass(Yf);var Zf=class extends Op{constructor(e){super();this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=e.minValue!=null?e.minValue:this.defaultMinValue,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.rate=e.rate!=null?e.rate:this.defaultRate,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return V(()=>{let t=UC(e,this.axis),n=ee(P(this.rate,lr(t,this.minValue,this.maxValue)),P(1-this.rate,t));return P(e,me(n,ee(er(),t)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};Zf.className="MinMaxNorm";J.registerClass(Zf);var zz={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function Pt(r){return Fp(r)}function Bz(r,e={}){return ci(r,J.SerializationMap.getMap().classNameMap,e,"constraint")}function Mt(r){if(r==null)return null;if(typeof r=="string"){let t={className:r in zz?zz[r]:r,config:{}};return Bz(t)}else return r instanceof Op?r:Bz(r)}function LQ(r){return new Kf(r)}function zQ(r){return new Xf(r)}function BQ(){return new Yf}function VQ(r){return new Zf(r)}var l3={};We(l3,{constant:()=>XQ,glorotNormal:()=>ree,glorotUniform:()=>tee,heNormal:()=>nee,heUniform:()=>oee,identity:()=>QQ,leCunNormal:()=>see,leCunUniform:()=>iee,ones:()=>KQ,orthogonal:()=>aee,randomNormal:()=>ZQ,randomUniform:()=>YQ,truncatedNormal:()=>JQ,varianceScaling:()=>eee,zeros:()=>qQ});var Gz=["channelsFirst","channelsLast"],Wz=["nearest","bilinear"],jz=["valid","same","causal"],Uz=["max","avg"],Hz=["sum","mul","concat","ave"];var Pp=new Map;function Ft(r){pi(Gz,"DataFormat",r)}fu
because the value dtype is $ { t . dtype } , but TensorArray dtype is $ { this . dtype } . ` );if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=t.shape), $ n(this.elementShape,t.shape, ` TensorArray $ { this . name } : Could not write to TensorArray index $ { e } . ` ),n.read)throw new Error( ` TensorArray $ { this . name } : Could not write to TensorArray index $ { e } , because it has already been read . ` );if(n.written)throw new Error( ` TensorArray $ { this . name } : Could not write to TensorArray index $ { e } , because it has already been written . ` );n.tensor=t,Et(t),n.written=!0,this.tensors[e]=n}writeMany(e,t){if(e.length!==t.length)throw new Error( ` TensorArray $ { this . name } : could not write multiple tensors , because the index size : $ { e . length } is not the same as tensors size : $ { t . length } . ` );e.forEach((n,o)=>this.write(n,t[o]))}gather(e,t){if(!!t&&t!==this.dtype)throw new Error( ` TensorArray dtype is $ { this . dtype } but gather requested dtype $ { t } ` );if(e)e=e.slice(0,this.size());else{e=[];for(let o=0;o<this.size();o++)e.push(o)}if(e.length===0)return Mr([],[0].concat(this.elementShape));let n=this.readMany(e);return $ n(this.elementShape,n[0].shape,"TensorArray shape mismatch: "),Bt(n,0)}concat(e){if(!!e&&e!==this.dtype)throw new Error( ` TensorArray dtype is $ { this . dtype } but concat requested dtype $ { e } ` );if(this.size()===0)return Mr([],[0].concat(this.elementShape));let t=[];for(let o=0;o<this.size();o++)t.push(o);let n=this.readMany(t);return $ n(this.elementShape,n[0].shape, ` TensorArray shape mismatch : tensor array shape ( $ { this . elementShape } ) vs first tensor shape ( $ { n [ 0 ] . shape } ) ` ),Qe(n,0)}scatter(e,t){if(t.dtype!==this.dtype)throw new Error( ` TensorArray dtype is $ { this . dtype } but tensor has dtype $ { t . dtype } ` );if(e.length!==t.shape[0])throw new Error( ` Expected len ( indices ) == tensor . shape [ 0 ] , but saw : $ { e . length } vs . $ { t . shape [ 0 ] } ` );let n=Math.max(...e);if(!this.dynamicSize&&n>=this.maxSize)throw new Error( ` Max index must be < array size ( $ { n } vs . $ { this . maxSize } ) ` );this.writeMany(e,fr(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error( ` TensorArray dtype is $ { this . dtype } but tensor has dtype $ { t . dtype } ` );let n=0,o=e.map(l=>(n+=l,n));if(n!==t.shape[0])throw new Error( ` Expected sum of lengths to be equal to
tensor . shape [ 0 ] , but sum of lengths is
$ { n } , and tensor 's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray' s size is not equal to the size of lengths ( $ { this . maxSize } vs . $ { e . length } ) , and the TensorArray is not marked as dynamically resizeable ` );let s=n===0?0:t.size/n,a=[];V(()=>{t=L(t,[1,n,s]);for(let l=0;l<e.length;++l){let u=l===0?0:o[l-1],c=[0,u,0],p=[1,e[l],s];a[l]=L(Fe(t,c,p),this.elementShape)}return a});let i=[];for(let l=0;l<e.length;l++)i[l]=l;this.writeMany(i,a)}};var Qu=class{constructor(e,t,n,o=-1){this.tensors=e,this.elementShape=t,this.elementDtype=n,e!=null&&e.forEach(s=>{if(n!==s.dtype)throw new Error( ` Invalid data types ; op elements $ { n } , but list elements $ { s . dtype } ` ); $ n(t,s.shape,"TensorList shape mismatch: "),Et(s)}),this.idTensor=le(0),this.maxNumElements=o,Et(this.idTensor)}get id(){return this.idTensor.id}copy(){return new Qu([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,n=-1){if(t!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { t } , but list elements $ { this . elementDtype } ` );if(n!==-1&&this.tensors.length!==n)throw new Error( ` Operation expected a list with $ { n } elements but got a list with $ { this . tensors . length } elements . ` ); $ n(e,this.elementShape,"TensorList shape mismatch: ");let o=om(this.elementShape,this.tensors,e);return V(()=>{let s=this.tensors.map(a=>L(a,o));return Bt(s,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { t } , but list elements $ { this . elementDtype } ` );if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=om(this.elementShape,this.tensors,e),o=this.tensors.pop();return $ n(o.shape,e,"TensorList shape mismatch: "),L(o,n)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { e . dtype } , but list elements $ { this . elementDtype } ` );if( $ n(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Et(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error( ` TensorListResize expects size to be non - negative . Got : $ { e } ` );if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error( ` TensorListResize input size $ { e } is greater maxNumElement $ { this . maxNumElements } . ` );this.tensors.length=e}getItem(e,t,n){if(n!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { n } , but list elements $ { this . elementDtype } ` );if(e<0||e>this.tensors.length)throw new Error( ` Trying to access element $ { e } in a list with $ { this . tensors . length } elements . ` );if(this.tensors[e]==null)throw new Error( ` element at index $ { e } is null . ` ); $ n(this.tensors[e].shape,t,"TensorList shape mismatch: ");let o=om(this.elementShape,this.tensors,t);return L(this.tensors[e],o)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { t . dtype } , but list elements $ { this . elementDtype } ` );if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error( ` Trying to set element $ { e } in a list with max $ { this . maxNumElements } elements . ` ); $ n(this.elementShape,t.shape,"TensorList shape mismatch: "),Et(t),this.tensors[e]=t}gather(e,t,n){if(t!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { t } , but list elements $ { this . elementDtype } ` ); $ n(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());let o=om(this.elementShape,this.tensors,n);return e.length===0?Mr([],[0].concat(o)):V(()=>{let s=e.map(a=>L(this.tensors[a],o));return Bt(s,0)})}concat(e,t){if(!!e&&e!==this.elementDtype)throw new Error( ` TensorList dtype is $ { this . elementDtype } but concat requested dtype $ { e } ` ); $ n(this.elementShape,t,"TensorList shape mismatch: ");let n=om(this.elementShape,this.tensors,t);return this.size()===0?Mr([],[0].concat(n)):V(()=>{let o=this.tensors.map(s=>L(s,n));return Qe(o,0)})}};function rB(r,e,t){let n=r.dtype;if(r.shape.length<1)throw new Error( ` Tens
tensor . shape [ 0 ] , but sum of lengths is
$ { n } , and tensor ' s shape is : $ { r . shape } ` );let s=r.shape.slice(1),a=yy(s,t),i=n===0?0:r.size/n,l=V(()=>{let c=[];r=L(r,[1,n,i]);for(let p=0;p<e.length;++p){let m=p===0?0:o[p-1],f=[0,m,0],d=[1,e[p],i];c[p]=L(Fe(r,f,d),a)}return r.dispose(),c}),u=new Qu([],t,r.dtype,e.length);for(let c=0;c<l.length;c++)u.setItem(c,l[c]);return u}var iB=async(r,e,t)=>{switch(r.op){case"If":case"StatelessIf":{let n=v("thenBranch",r,e,t),o=v("elseBranch",r,e,t),s=v("cond",r,e,t),a=v("args",r,e,t);return(await s.data())[0]?t.functionMap[n].executeFunctionAsync(a,t.tensorArrayMap,t.tensorListMap):t.functionMap[o].executeFunctionAsync(a,t.tensorArrayMap,t.tensorListMap)}case"While":case"StatelessWhile":{let n=v("body",r,e,t),o=v("cond",r,e,t),s=v("args",r,e,t),a=await t.functionMap[o].executeFunctionAsync(s,t.tensorArrayMap,t.tensorListMap),i=s.map(c=>c.id),l=await a[0].data();a.forEach(c=>{!c.kept&&i.indexOf(c.id)===-1&&c.dispose()});let u=s;for(;l[0];){let c=u;u=await t.functionMap[n].executeFunctionAsync(u,t.tensorArrayMap,t.tensorListMap);let p=u.map(f=>f.id);c.forEach(f=>{!f.kept&&i.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()});let m=await t.functionMap[o].executeFunctionAsync(u,t.tensorArrayMap,t.tensorListMap);l=await m[0].data(),m.forEach(f=>{!f.kept&&i.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()})}return u}case"LoopCond":{let n=v("pred",r,e,t);return[Fs(n)]}case"Switch":{let n=v("pred",r,e,t),o=v("data",r,e,t);return o.kept||(o=Fs(o)),(await n.data())[0]?[void 0,o]:[o,void 0]}case"Merge":{let n=r.inputNames.find(o=>hr(o,e,t)!==void 0);if(n){let o=hr(n,e,t);return[Fs(o)]}return}case"Enter":{let n=v("frameName",r,e,t),o=v("tensor",r,e,t);return t.enterFrame(n),[Fs(o)]}case"Exit":{let n=v("tensor",r,e,t);return t.exitFrame(),[Fs(n)]}case"NextIteration":{let n=v("tensor",r,e,t);return t.nextIteration(),[Fs(n)]}case"TensorArrayV3":{let n=v("size",r,e,t),o=v("dtype",r,e,t),s=v("elementShape",r,e,t),a=v("dynamicSize",r,e,t),i=v("clearAfterRead",r,e,t),l=v("identicalElementShapes",r,e,t),u=v("name",r,e,t),c=new aI(u,o,n,s,l,a,i);return t.addTensorArray(c),[c.idTensor,le(1)]}case"TensorArrayWriteV3":{let n=v("tensorArrayId",r,e,t),o=v("index",r,e,t),s=v("tensor",r,e,t),a=t.getTensorArray(n.id);return a.write(o,s),[a.idTensor]}case"TensorArrayReadV3":{let n=v("tensorArrayId",r,e,t),o=v("index",r,e,t);return[t.getTensorArray(n.id).read(o)]}case"TensorArrayGatherV3":{let n=v("tensorArrayId",r,e,t),o=v("indices",r,e,t),s=v("dtype",r,e,t);return[t.getTensorArray(n.id).gather(o,s)]}case"TensorArrayScatterV3":{let n=v("tensorArrayId",r,e,t),o=v("indices",r,e,t),s=v("tensor",r,e,t),a=t.getTensorArray(n.id);return a.scatter(o,s),[a.idTensor]}case"TensorArrayConcatV3":{let n=v("tensorArrayId",r,e,t),o=t.getTensorArray(n.id),s=v("dtype",r,e,t);return[o.concat(s)]}case"TensorArraySplitV3":{let n=v("tensorArrayId",r,e,t),o=v("tensor",r,e,t),s=v("lengths",r,e,t),a=t.getTensorArray(n.id);return a.split(s,o),[a.idTensor]}case"TensorArraySizeV3":{let n=v("tensorArrayId",r,e,t),o=t.getTensorArray(n.id);return[le(o.size(),"int32")]}case"TensorArrayCloseV3":{let n=v("tensorArrayId",r,e,t),o=t.getTensorArray(n.id);return o.clearAndClose(),[o.idTensor]}case"TensorListSetItem":{let n=v("tensorListId",r,e,t),o=v("index",r,e,t),s=v("tensor",r,e,t),a=t.getTensorList(n.id);return a.setItem(o,s),[a.idTensor]}case"TensorListGetItem":{let n=v("tensorListId",r,e,t),o=v("index",r,e,t),s=v("elementShape",r,e,t),a=v("elementDType",r,e,t);return[t.getTensorList(n.id).getItem(o,s,a)]}case"TensorListScatterV2":case"TensorListScatter":{let n=v("indices",r,e,t),o=v("tensor",r,e,t),s=v("elementShape",r,e,t),a=v("numElements",r,e,t),i=oB(o,n,s,a);return t.addTensorList(i),[i.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let n=v("elementShape",r,e,t),o=v("elementDType",r,e,t),s;r.op==="TensorListReserve"?s="numElements":s="maxNumElements";let a=v(s,r,e,t),i=nB(n,o,a);return t.addTensorList(i),[i.idTensor]}case"TensorListGather":{let n=v("tensorListId",r,e,t),o=v("indices",r,e,t),s=v("elementShape",r,e,t),a=v("elementDType",r,e,t);return[t.getTensor
$ { e } ` );let o;return this.size===Infinity||this.size==null?o=this.size:t?o=Math.ceil(this.size/e):o=Math.floor(this.size/e),_n(async()=>(await n.iterator()).columnMajorBatch(e,t,Sne),o)}concatenate(e){let t=this,n;return this.size===Infinity||e.size===Infinity?n=Infinity:this.size!=null&&e.size!=null?n=this.size+e.size:n=null,_n(async()=>(await t.iterator()).concatenate(await e.iterator()),n)}filter(e){let t=this,n;return this.size===Infinity?n=Infinity:n=null,_n(async()=>(await t.iterator()).filter(o=>V(()=>e(o))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){let t=this;return _n(async()=>(await t.iterator()).map(n=>V(()=>e(n))),this.size)}mapAsync(e){let t=this;return _n(async()=>(await t.iterator()).mapAsync(e),this.size)}prefetch(e){if(e==null)throw new RangeError(" ` Dataset . prefetch ( ) ` requires bufferSize to be specified.");let t=this;return _n(async()=>(await t.iterator()).prefetch(e),this.size)}repeat(e){let t=this,n;return this.size!=null&&e>0?n=this.size*e:e===0?n=0:this.size!=null&&(e===void 0||e<0)?n=Infinity:n=null,_n(async()=>{let o=yh(async()=>({value:await t.iterator(),done:!1}));return qB(o.take(e))},n)}skip(e){let t=this,n;return this.size!=null&&e>=0&&this.size>=e?n=this.size-e:this.size!=null&&(this.size<e||e===void 0||e<0)?n=0:n=null,_n(async()=>(await t.iterator()).skip(e),n)}shuffle(e,t,n=!0){if(e==null||e<0)throw this.size==null?new RangeError(" ` Dataset . shuffle ( ) ` requires bufferSize to be specified."):new RangeError( ` \ ` Dataset.shuffle() \` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \` tf.Tensor \` s), consider setting bufferSize to the dataset size ( ${ this . size } elements) ` ) ; let o = this , s = sV . alea ( t || y . now ( ) . toString ( ) ) ; return _n ( async ( ) => { let a = s . int32 ( ) ; return n && ( a += s . int32 ( ) ) , ( await o . iterator ( ) ) . shuffle ( e , a . toString ( ) ) } , this . size ) } take ( e ) { let t = this , n ; return this . size != null && this . size > e ? n = e : this . size != null && this . size <= e ? n = this . size : n = null , _n ( async ( ) => ( await t . iterator ( ) ) . take ( e ) , n ) } async toArray ( ) { if ( this . size === Infinity ) throw new Error ( "Can not convert infinite data stream to array." ) ; return ( await this . iterator ( ) ) . toArray ( ) } async toArrayForTest ( ) { if ( this . size === Infinity ) throw new Error ( "Can not convert infinite data stream to array." ) ; return ( await this . iterator ( ) ) . toArrayForTest ( ) } } ; hi . MAX _BUFFER _SIZE = 1e4 ; function _n ( r , e = null ) { return new class extends hi { constructor ( ) { super ( ... arguments ) ; this . size = e } async iterator ( ) { return r ( ) } } } function iV ( r ) { return _n ( async ( ) => vI ( r ) , r . length ) } function aV ( r ) { if ( ! Pl ( r ) ) throw new Error ( "The argument to zip() must be an object or array." ) ; let e ; if ( Array . isArray ( r ) ) for ( let t = 0 ; t < r . length ; t ++ ) e = e == null ? r [ t ] . size : Math . min ( e , r [ t ] . size ) ; else if ( r instanceof Object ) for ( let t in r ) e = e == null ? r [ t ] . size : Math . min ( e , r [ t ] . size ) ; return _n ( async ( ) => { let t = await ky ( r , n => { if ( n instanceof hi ) return { value : n . iterator ( ) , recurse : ! 1 } ; if ( Pl ( n ) ) return { value : null , recurse : ! 0 } ; throw new Error ( "Leaves of the structure passed to zip() must be Datasets, not primitives." ) } ) ; return XB ( t , Ba . SHORTEST ) } , e ) } function Sne ( r ) { if ( r === null ) return null ; let e = r [ 0 ] ; return GB ( e ) ? { value : Tne ( r ) , recurse : ! 1 } : { value : null , recurse : ! 0 } } function Tne ( r ) { if ( r . length === 0 ) throw new Error ( "Can't make a batch of zero elements." ) ; return r [ 0 ] instanceof Pe ? Bt ( r ) : Mr ( r ) } var bh = class extends hi { constructor ( e ) { super ( ) ; this . input = e } async iterator ( ) { return ( await this . input . iterator ( ) ) . decodeUTF8 ( ) . split ( `
` ).map(o=>(o.endsWith(" \r ")&&(o=o.slice(0,-1)),o))}};var vy='"',wh=Symbol("out"),lV=Symbol("field"),Cy=Symbol("quote"),SI=Symbol("quoteafterquote"),uV=Symbol("quoteinquote"),_h=class extends hi{constructor(e,t){super();this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new bh(e),t||(t={}),this.hasHeader=t.hasHeader!==!1,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(y.assert(t.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&y.assert(e.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=e);let t=this.fullColumnNames.reduce((o,s)=>(o[s]=o[s]+1||1,o),{}),n=Object.keys(t).filter(o=>t[o]>1);if(y.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let o of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(o)===-1)throw new Error('The key "'+o+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let t=await(await this.base.iterator()).next();if(t.done)throw new Error("No data was found for CSV parsing.");let n=t.value;return this.parseRow(n,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map(t=>this.makeDataElement(t))}makeDataElement(e){let t=this.parseRow(e),n={},o={};for(let s=0;s<this.fullColumnNames.length;s++){let a=this.fullColumnNames[s],i=this.columnConfigs?this.columnConfigs[a]:null;if(!(this.configuredColumnsOnly&&!i)){let l=t[s],u=null;if(l==="")if(i&&i.default!==void 0)u=i.default;else{if(i&&(i.required||i.isLabel))throw new Error( ` Required column $ { a } is empty in this line : $ { e } ` );u=void 0}else{let c=Number(l);if(isNaN(c))i&&i.dtype==="bool"?u=this.getBoolean(l):u=l;else if(!i||!i.dtype)u=c;else switch(i.dtype){case"float32":u=c;break;case"int32":u=Math.floor(c);break;case"bool":u=this.getBoolean(l);break;default:u=c}}i&&i.isLabel?o[a]=u:n[a]=u}}return Object.keys(o).length===0?n:{xs:n,ys:o}}getBoolean(e){return e==="1"||e.toLowerCase()==="true"?1:0}parseRow(e,t=!0){let n=[],o=0,s=e.length,a=wh;for(let i=0;i<s;i++)switch(a){case wh:switch(e.charAt(i)){case vy:o=i+1,a=Cy;break;case this.delimiter:if(o=i+1,this.delimiter===" "&&this.delimWhitespace)break;n.push(""),a=wh;break;default:a=lV,o=i;break}break;case lV:switch(e.charAt(i)){case this.delimiter:n.push(e.substring(o,i)),a=wh,o=i+1;break;default:}break;case Cy:switch(e.charAt(i)){case vy:a=SI;break;default:}break;case SI:switch(e.charAt(i)){case this.delimiter:n.push(e.substring(o,i-1)),a=wh,o=i+1;break;case vy:a=Cy;break;default:a=uV;break}break;case uV:switch(e.charAt(i)){case vy:a=Cy;break;default:}break;default:}if(a===SI?n.push(e.substring(o,s-1)):n.push(e.substring(o)),t&&n.length!==this.fullColumnNames.length)throw new Error( ` Invalid row in csv file . Should have $ { this . fullColumnNames . length } elements in a row , but got $ { n } ` );return n}};var kh=class extends Xt{constructor(e){super();this.microphoneConfig=e,this.isClosed=!1,this.fftSize=e.fftSize||1024;let t=Math.log2(this.fftSize);if(this.fftSize<0||t<4||t>14||!Number.isInteger(t))throw new Error( ` Inval
2021-02-21 19:34:26 +01:00
/ * *
* @ license
2021-04-28 14:58:21 +02:00
* Copyright 2017 Google LLC . All Rights Reserved .
2021-02-21 19:34:26 +01:00
* 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
2021-04-28 14:58:21 +02:00
* Copyright 2018 Google LLC
2021-02-21 19:34:26 +01:00
*
2021-04-28 14:58:21 +02:00
* Use of this source code is governed by an MIT - style
* license that can be found in the LICENSE file or at
* https : //opensource.org/licenses/MIT.
2021-02-21 19:34:26 +01:00
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2018 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 2018 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
2021-04-28 14:58:21 +02:00
* Copyright 2019 Google LLC
2021-02-21 19:34:26 +01:00
*
2021-04-28 14:58:21 +02:00
* Use of this source code is governed by an MIT - style
* license that can be found in the LICENSE file or at
* https : //opensource.org/licenses/MIT.
2021-02-21 19:34:26 +01:00
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
2021-04-28 14:58:21 +02:00
* Copyright 2019 Google LLC . All Rights Reserved .
2021-02-21 19:34:26 +01:00
* 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
2021-04-28 14:58:21 +02:00
* Copyright 2019 Google LLC . All Rights Reserved .
2021-02-21 19:34:26 +01:00
* 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
2021-04-28 14:58:21 +02:00
* Copyright 2020 Google Inc . All Rights Reserved .
2021-02-21 19:34:26 +01:00
* 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
2021-04-28 14:58:21 +02:00
* Copyright 2020 Google LLC
2021-02-21 19:34:26 +01:00
*
2021-04-28 14:58:21 +02:00
* Use of this source code is governed by an MIT - style
* license that can be found in the LICENSE file or at
* https : //opensource.org/licenses/MIT.
2021-02-21 19:34:26 +01:00
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
2021-04-28 14:58:21 +02:00
* Copyright 2020 Google LLC . All Rights Reserved .
2021-02-21 19:34:26 +01:00
* 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
2021-04-28 14:58:21 +02:00
* Copyright 2020 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the License ) ;
2021-02-21 19:34:26 +01:00
* 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
2021-04-28 14:58:21 +02:00
* distributed under the License is distributed on an AS IS BASIS ,
2021-02-21 19:34:26 +01:00
* 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
2021-04-28 14:58:21 +02:00
* Copyright 2021 Google LLC . All Rights Reserved .
2021-02-21 19:34:26 +01:00
* 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 .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
2021-04-28 14:58:21 +02:00
/** @license See the LICENSE file. */
2020-11-17 18:38:48 +01:00
//# sourceMappingURL=tfjs.esm.js.map