2021-09-11 03:21:29 +02:00
/ *
Human
homepage : < https : //github.com/vladmandic/human>
author : < https : //github.com/vladmandic>'
* /
2021-03-10 00:32:35 +01:00
2021-09-28 19:48:29 +02:00
var Human = ( ( ) => { var vg = Object . defineProperty ; var US = ( e , t , n ) => t in e ? vg ( e , t , { enumerable : ! 0 , configurable : ! 0 , writable : ! 0 , value : n } ) : e [ t ] = n ; var HS = e => vg ( e , "__esModule" , { value : ! 0 } ) ; var Ba = ( e => typeof require != "undefined" ? require : typeof Proxy != "undefined" ? new Proxy ( e , { get : ( t , n ) => ( typeof require != "undefined" ? require : t ) [ n ] } ) : e ) ( function ( e ) { if ( typeof require != "undefined" ) return require . apply ( this , arguments ) ; throw new Error ( 'Dynamic require of "' + e + '" is not supported' ) } ) ; var l5 = ( e , t ) => { HS ( e ) ; for ( var n in t ) vg ( e , n , { get : t [ n ] , enumerable : ! 0 } ) } ; var Ne = ( e , t , n ) => ( US ( e , typeof t != "symbol" ? t + "" : t , n ) , n ) , u5 = ( e , t , n ) => { if ( ! t . has ( e ) ) throw TypeError ( "Cannot " + n ) } ; var rc = ( e , t , n ) => ( u5 ( e , t , "read from private field" ) , n ? n . call ( e ) : t . get ( e ) ) , ac = ( e , t , n ) => { if ( t . has ( e ) ) throw TypeError ( "Cannot add the same private member more than once" ) ; t instanceof WeakSet ? t . add ( e ) : t . set ( e , n ) } , oc = ( e , t , n , s ) => ( u5 ( e , t , "write to private field" ) , s ? s . call ( e , n ) : t . set ( e , n ) , n ) ; var Sue = { } ; l5 ( Sue , { Human : ( ) => eS , Models : ( ) => Yd , default : ( ) => eS , defaults : ( ) => na , env : ( ) => oe } ) ; function rt ( e , t ) { let n = e . endsWith ( "/" ) ? "" : "/" , r = t . startsWith ( "." ) || t . startsWith ( "/" ) || t . startsWith ( "http:" ) || t . startsWith ( "https:" ) || t . startsWith ( "file:" ) ? ` ${ t } ` : ` ${ e } ${ n } ${ t } ` ; if ( ! r . toLocaleLowerCase ( ) . includes ( ".json" ) ) throw new Error ( ` modelpath error: ${ r } expecting json file ` ) ; return r } function re ( ... e ) { let t = new Date , n = ` ${ t . getHours ( ) . toString ( ) . padStart ( 2 , "0" ) } : ${ t . getMinutes ( ) . toString ( ) . padStart ( 2 , "0" ) } : ${ t . getSeconds ( ) . toString ( ) . padStart ( 2 , "0" ) } . ${ t . getMilliseconds ( ) . toString ( ) . padStart ( 3 , "0" ) } ` ; e && console . log ( n , "Human:" , ... e ) } var et = ( ) => typeof performance != "undefined" ? performance . now ( ) : parseInt ( ( Number ( process . hrtime . bigint ( ) ) / 1e3 / 1e3 ) . toString ( ) ) ; function wg ( e , t , n = "config" , s = [ ] ) { for ( let r of Object . keys ( t ) ) if ( typeof t [ r ] == "object" ) wg ( e [ r ] , t [ r ] , r , s ) ; else { let a = e && typeof e [ r ] != "undefined" ; a || s . push ( { reason : "unknown property" , where : ` ${ n } . ${ r } = ${ t [ r ] } ` } ) ; let o = e && typeof e [ r ] == typeof t [ r ] ; a && ! o && s . push ( { reason : "property type mismatch" , where : ` ${ n } . ${ r } = ${ t [ r ] } ` , expected : typeof e [ r ] } ) } return t . debug && n === "config" && s . length > 0 && re ( "invalid configuration" , s ) , s } function rn ( ... e ) { let t = n => n && typeof n == "object" ; return e . reduce ( ( n , s ) => ( Object . keys ( s || { } ) . forEach ( r => { let a = n [ r ] , o = s [ r ] ; Array . isArray ( a ) && Array . isArray ( o ) ? n [ r ] = a . concat ( ... o ) : t ( a ) && t ( o ) ? n [ r ] = rn ( a , o ) : n [ r ] = o } ) , n ) , { } ) } var na = { backend : "" , modelBasePath : "" , wasmPath : "" , debug : ! 0 , async : ! 0 , warmup : "full" , cacheSensitivity : . 75 , skipFrame : ! 1 , filter : { enabled : ! 0 , width : 0 , height : 0 , flip : ! 1 , return : ! 0 , brightness : 0 , contrast : 0 , sharpness : 0 , blur : 0 , saturation : 0 , hue : 0 , negative : ! 1 , sepia : ! 1 , vintage : ! 1 , kodachrome : ! 1 , technicolor : ! 1 , polaroid : ! 1 , pixelate : 0 } , gesture : { enabled : ! 0 } , face : { enabled : ! 0 , detector : { modelPath : "blazeface.json" , rotation : ! 0 , maxDetected : 1 , skipFrames : 11 , minConfidence : . 2 , iouThreshold : . 1 , return : ! 1 } , mesh : { enabled : ! 0 , modelPath : "facemesh.json" } , iris : { enabled : ! 0 , modelPath : "iris.json" } , emotion : { enabled : ! 0 , minConfidence : . 1 , skipFrames : 12 , modelPath : "emotion.json" } , description : { enabled : ! 0 , modelPath : "faceres.json" , skipFrames : 13 , minConfidence : . 1 } } , body : { enabled : ! 0 , modelPath : "movenet-lightning.json" , detector : { modelPath : "" } , maxDetected : - 1 , minConfidence : . 2 , skipFrames : 1 } , hand : { enabled : ! 0 , rotation : ! 0 , skipFrames : 14 , minConfidence : . 5 , iouThreshold : . 2 , maxDetected : - 1 , landmarks : ! 0 , detector : { modelPath : "handtrack.json" } , skeleton : { modelPath : "handskeleton.json" } } , object : { enabled : ! 1 , modelPath : "mb3-centernet.json" , minConfidence : . 2 , iouThreshold : . 4 , maxDetected : 10 , skipFrames : 15 } , segmentation : { enabled : ! 1 , modelPath : "selfie.json" , blur : 8 } } ; var Ii = { } ; l5 ( Ii , { Abs : ( ) => Gi , Acos : ( ) => ji , Acosh : ( ) => qi , AdadeltaOptimizer : ( ) => af , AdagradOptimizer : ( ) => of , AdamOptimizer : ( ) => lf , AdamaxOptimizer : ( ) => uf , Add : ( ) => aa , AddN : ( ) => Ha , All : ( ) => Xi , Any : ( ) => Ki , ArgMax : ( ) => Ga , ArgMin : ( ) => dc , Asin : ( ) => Zi , Asinh : ( ) => Yi , Atan : ( ) => Ji , Atan2 : ( ) => el , Atanh : ( ) => Qi , AvgPool : ( ) => ja , AvgPool3D : ( ) => pc , AvgPool3DGrad : ( ) => Dp , AvgPoolGrad : ( ) => Rp , BackendWasm : ( ) => x8 , BatchMatMul : ( ) => qa , BatchToSpaceND : ( ) => tl , Bincount : ( ) => _p , BroadcastArgs : ( ) => Eg , BroadcastTo : ( ) => N5 , Callback : ( ) => gw , CallbackList : ( ) => lv , Cast : ( ) => Xa , Ceil : ( ) => Ka , ClipByValue : ( ) => oa , Complex : ( ) => $p , ComplexAbs : ( ) => hc
2021-09-11 16:29:31 +02:00
` )),l.join( `
2021-09-28 18:01:48 +02:00
` )}function r9(e,t,n,s){let r=Mt(t),a=s[s.length-1],o=new Array(a).fill(0),i=t.length,l=n==="complex64"?Dc(e):e;if(i>1)for(let u=0;u<r/a;u++){let c=u*a;for(let d=0;d<a;d++)o[d]=Math.max(o[d],Rc(l[c+d],0,n).length)}return o}function Rc(e,t,n){let s;return Array.isArray(e)?s= ` $ { parseFloat ( e [ 0 ] . toFixed ( $g ) ) } + $ { parseFloat ( e [ 1 ] . toFixed ( $g ) ) } j ` :sa(e)?s= ` '${e}' ` :n==="bool"?s=P5(e):s=parseFloat(e.toFixed( $ g)).toString(),cc(s,t)}function P5(e){return e===0?"false":"true"}function Ah(e,t,n,s,r,a=!0){let o=n==="complex64"?2:1,i=t[0],l=t.length;if(l===0){if(n==="complex64"){let m=Dc(e);return[Rc(m[0],0,n)]}return n==="bool"?[P5(e[0])]:[e[0].toString()]}if(l===1){if(i>O5){let g=Ec*o,A=Array.from(e.slice(0,g)),y=Array.from(e.slice((i-Ec)*o,i*o));return n==="complex64"&&(A=Dc(A),y=Dc(y)),["["+A.map((x,b)=>Rc(x,r[b],n)).join(", ")+", ..., "+y.map((x,b)=>Rc(x,r[i-Ec+b],n)).join(", ")+"]"]}let m=n==="complex64"?Dc(e):Array.from(e);return["["+m.map((g,A)=>Rc(g,r[A],n)).join(", ")+"]"]}let u=t.slice(1),c=s.slice(1),d=s[0]*o,p=[];if(i>O5){for(let m=0;m<Ec;m++){let g=m*d,A=g+d;p.push(...Ah(e.slice(g,A),u,n,c,r,!1))}p.push("...");for(let m=i-Ec;m<i;m++){let g=m*d,A=g+d;p.push(...Ah(e.slice(g,A),u,n,c,r,m===i-1))}}else for(let m=0;m<i;m++){let g=m*d,A=g+d;p.push(...Ah(e.slice(g,A),u,n,c,r,m===i-1))}let h=l===2?",":"";p[0]="["+p[0]+h;for(let m=1;m<p.length-1;m++)p[m]=" "+p[m]+h;let f= ` ,
2021-09-11 17:17:13 +02:00
` ;for(let m=2;m<l;m++)f+= `
2021-09-28 19:48:29 +02:00
` ;return p[p.length-1]=" "+p[p.length-1]+"]"+(a?"":f),p}function Dc(e){let t=[];for(let n=0;n<e.length;n+=2)t.push([e[n],e[n+1]]);return t}var Kt=class{constructor(e,t,n){if(this.dtype=t,this.shape=e.slice(),this.size=Mt(e),n!=null){let s=n.length;M(s===this.size,()=> ` Length of values '${s}' does not match the size inferred by the shape '${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||y5(t,this.size),this.strides=Ui(e)}set(e,...t){t.length===0&&(t=[0]),M(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 s of e){if(s<0||s>=this.shape[t]){let r= ` Requested out of range element at $ { e } . Buffer shape = $ { this . shape } ` ;throw new Error(r)}t++}let n=e[e.length-1];for(let s=0;s<e.length-1;++s)n+=this.strides[s]*e[s];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 ur().makeTensor(this.values,this.shape,this.dtype)}},ur=null,ql=null,a9=null;function o9(e){ur=e}function i9(e){ql=e}function l9(e){a9=e}var He=class{constructor(e,t,n,s){this.kept=!1,this.isDisposedInternal=!1,this.shape=e.slice(),this.dtype=t||"float32",this.size=Mt(e),this.strides=Ui(e),this.dataId=n,this.id=s,this.rankType=this.rank<5?this.rank.toString():"higher"}get rank(){return this.shape.length}async buffer(){let e=await this.data();return ql.buffer(this.shape,this.dtype,e)}bufferSync(){return ql.buffer(this.shape,this.dtype,this.dataSync())}async array(){let e=await this.data();return Hi(this.shape,e,this.dtype==="complex64")}arraySync(){return Hi(this.shape,this.dataSync(),this.dtype==="complex64")}async data(){this.throwIfDisposed();let e=ur().read(this.dataId);if(this.dtype==="string"){let t=await e;try{return t.map(n=>gh(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=ur().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>gh(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 ur().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(ur().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return ql.print(this,e)}clone(){return this.throwIfDisposed(),ql.clone(this)}toString(e=!1){let t=this.dataSync();return s9(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),ql.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),ur().makeVariable(this,e,t,n)}};Object.defineProperty(He,Symbol.hasInstance,{value:e=>!!e&&e.data!=null&&e.dataSync!=null&&e.throwIfDisposed!=null});function ee(){return Ng("Tensor",()=>He)}ee();var _c=class extends He{constructor(e,t,n,s){super(e.shape,e.dtype,e.dataId,s);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(!Dr(e.shape,this.shape))throw new Error( ` shape of the new value ( $ { e . shape } ) and previous value ( $ { this . shape } ) must match ` );ur().disposeTensor(this),this.dataId=e.dataId,ur().incRef(this,null)}dispose(){ur().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(_c,Symbol.hasInstance,{value:e=>e instanceof He&&e.as
Manifest JSON has weights with names : $ { i . join ( ", " ) } . ` )}let l=r.reduce((h,f,m)=>(f&&h.push(m),h),[]),u=[];l.forEach(h=>{t[h].paths.forEach(f=>{let m=n+(n.endsWith("/")?"":"/")+f;u.push(m)})});let c=await e(u),d={},p=0;return l.forEach(h=>{let f=t[h].paths.length,m=0;for(let b=0;b<f;b++)m+=c[p+b].byteLength;let g=new ArrayBuffer(m),A=new Uint8Array(g),y=0;for(let b=0;b<f;b++){let v=new Uint8Array(c[p+b]);A.set(v,y),y+=v.byteLength}a[h].forEach(b=>{let v=g.slice(b.groupOffset,b.groupOffset+b.sizeBytes),k=G5(v,[b.manifestEntry]);for(let S in k)d[S]=k[S]}),p+=f}),d}}var rT="application/octet-stream",aT="application/json",Kg=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?(M(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=Y().platform.fetch,M(e!=null&&e.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(e)&&M(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}],s=X5(e,n);t.body.append("model.json",new Blob([JSON.stringify(s)],{type:aT}),"model.json"),e.weightData!=null&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:rT}),"model.weights.bin");let r=await this.fetch(this.path,t);if(r.ok)return{modelArtifactsInfo:Pc(e),responses:[r]};throw new Error( ` BrowserHTTPRequest . save ( ) failed due to HTTP response status $ { r . 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(r){let a= ` Failed to parse model JSON of response from $ { this . path } . ` ;throw this.path.endsWith(".pb")?a+=" 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.":a+=" Please make sure the server is serving valid JSON for this request.",new Error(a)}let n=t.modelTopology,s=t.weightsManifest;if(n==null&&s==null)throw new Error( ` The JSON from HTTP path $ { this . path } contains neither model topology or manifest for weights . ` );return Hg(t,r=>this.loadWeights(r))}async loadWeights(e){let t=Array.isArray(this.path)?this.path[1]:this.path,[n,s]=oT(t),r=this.weightPathPrefix||n,a=[];for(let u of e)a.push(...u.weights);let o=[],i=[];for(let u of e)for(let c of u.paths)this.weightUrlConverter!=null?i.push(this.weightUrlConverter(c)):o.push(r+c+s);this.weightUrlConverter&&o.push(...await Promise.all(i));let l=await ab(o,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[a,Ug(l)]}};Kg.URL_SCHEME_REGEX=/^https?: \/ \/ /;function oT(e){let t=e.lastIndexOf("/"),n=e.lastIndexOf("?"),s=e.substring(0,t),r=n>t?e.substring(n):"";return[s+"/",r]}function Zg(e){return e.match(Kg.URL_SCHEME_REGEX)!=null}var ib=(e,t)=>{if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;{let n=!0;if(Array.isArray(e)?n=e.every(s=>Zg(s)):n=Zg(e),n)return Yg(e,t)}return null};Ot.registerSaveRouter(ib);Ot.registerLoadRouter(ib);function Yg(e,t){return new Kg(e,t)}function iT(e,t){return Yg(e,t)}var Jg=class{
2021-09-11 16:29:31 +02:00
Actual : $ { r } .
2021-09-11 17:17:13 +02:00
Expected : $ { a } . ` );for(let o=0;o<a.length;++o){let i=r[o],l=a[o];if(!n(i,l))throw new Error( ` Arrays differ : actual [ $ { o } ] = $ { i } , expected [ $ { o } ] = $ { l } .
2021-09-11 16:29:31 +02:00
Actual : $ { r } .
2021-09-28 19:48:29 +02:00
Expected : $ { a } . ` )}}function ET(e,t){e().then(()=>t.fail(),()=>t())}function RT(e,t){let n=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return sa(e)||sa(e[0])||sa(t)||sa(t[0])?rA(e,n,(s,r)=>s==r):rA(e,t,(s,r)=>aA(s,r,0))}function DT(e,t,n){if(n==null&&(n=sA()),!aA(e,t,n))throw new Error( ` Numbers differ : actual === $ { e } , expected === $ { t } ` )}function aA(e,t,n){return!isFinite(e)&&!isFinite(t)?!0:!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function _T(e,t,n){for(let s=0;s<e.length;s++)if(e[s]<t||e[s]>n)throw new Error( ` Value out of range : $ { e [ s ] } low : $ { t } , high : $ { n } ` )}function $ T(e,t){expect(new Float32Array(e)).toEqual(new Float32Array(t))}function Cb(e){for(let t=0;t<e.length;t++){let n=e[t];Array.isArray(n)?Cb(n):e[t]=Nc(n)}return e}var kh="3.9.0";function Tb(){Y().set("PROD",!0)}function FT(){Y().set("DEBUG",!0)}function OT(){Y().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function oA(e){Y().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(e+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}l9(oA);function PT(){L.disposeVariables()}function Qn(){return L}function Ih(){return L.memory()}function MT(e){return L.profile(e)}function H(e,t){return L.tidy(e,t)}function Z(e){Lg(e).forEach(n=>n.dispose())}function un(e){return L.keep(e)}function zT(e){return L.time(e)}function Nb(e){return L.setBackend(e)}function Sh(){return L.ready()}function dr(){return L.backendName}function LT(e){L.removeBackend(e)}function iA(e){return L.findBackend(e)}function BT(e){return L.findBackendFactory(e)}function Ql(e,t,n=1){return L.registerBackend(e,t,n)}function Fr(){return L.backend}function WT(e,t){Y().setPlatform(e,t)}function VT(e,t){let n= $ (e,"a","add"),s= $ (t,"b","add");[n,s]=Rt(n,s);let r={a:n,b:s};return L.runKernel(aa,r)}var le=W({add_:VT});function UT(e,t){let n= $ (e,"a","floorDiv"),s= $ (t,"b","floorDiv");[n,s]=Rt(n,s);let r={a:n,b:s};return L.runKernel(oo,r)}var Ch=W({floorDiv_:UT});function HT(e,t){let n= $ (e,"a","div"),s= $ (t,"b","div");if([n,s]=Rt(n,s),n.dtype==="int32"&&s.dtype==="int32")return Ch(n,s);let r={a:n,b:s},a={};return L.runKernel(no,r,a)}var he=W({div_:HT});function GT(e,t){let n= $ (e,"a","mul"),s= $ (t,"b","mul");[n,s]=Rt(n,s);let r={a:n,b:s};return L.runKernel(bo,r)}var z=W({mul_:GT});function jT(e){let t= $ (e,"x","abs");if(t.dtype==="complex64"){let n={x:t};return L.runKernel(hc,n)}else{let n={x:t};return L.runKernel(Gi,n)}}var Wt=W({abs_:jT});function qT(e){let n={x: $ (e,"x","acos")};return L.runKernel(ji,n)}var lA=W({acos_:qT});function XT(e){let n={x: $ (e,"x","acosh")};return L.runKernel(qi,n)}var uA=W({acosh_:XT});function KT(e){M(Array.isArray(e),()=>"The argument passed to tf.addN() must be a list of tensors"),M(e.length>=1,()=> ` Must pass at least one tensor to tf . addN ( ) , but got $ { e . length } ` );let t=e.map((r,a)=> $ (r, ` tensors$ { a } ` ,"addN")),n=t[0];t.forEach(r=>{if(r.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(r=>{if(!Dr(r.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let s=t;return L.runKernel(Ha,s)}var Th=W({addN_:KT});function ZT(e,t=null,n=!1){let r={x: $ (e,"x","all","bool")},a={axis:t,keepDims:n};return L.runKernel(Xi,r,a)}var Nh=W({all_:ZT});function YT(e,t=null,n=!1){let r={x: $ (e,"x","any","bool")},a={axis:t,keepDims:n};return L.runKernel(Ki,r,a)}var Mc=W({any_:YT});function JT(e,t=0){let s={x: $ (e,"x","argMax")},r={axis:t};return L.runKernel(Ga,s,r)}var Gs=W({argMax_:JT});function QT(e,t=0){let s={x: $ (e,"x","argMin")},r={axis:t};return L.runKernel(dc,s,r)}var cA=W({argMin_:QT});function eN(e){let n={x: $ (e,"x","asin")};return L.runKernel(Zi,n)}var dA=W({asin_:eN});function tN(e){let n={x: $ (e,"x","asinh")};return L.runKernel(Yi,n)}var pA=W({asinh_:tN});function nN(e){let n={x: $ (e,"x","atan")};return L.runKernel(Ji,n)}var hA=W({atan_:nN});function sN(e,t){let n= $ (e,"a","atan2"),s= $ (t,"b","atan2");[n,s]=Rt(n,s);let r={a:n,b:s};return L.runKernel(el,r)}var fA=W({atan2_:sN});function rN(e){let n={x: $ (
with dtype $ { a . dtype } . ` )}),n.length===1)return Hs(n[0]);let s=n,r={axis:t};return L.runKernel(nl,s,r)}var gt=W({concat_:fN});function mN(e){let n={x: $ (e,"x","sigmoid")};return L.runKernel(_o,n)}var Wn=W({sigmoid_:mN});function gN(e,t,n){let s= $ (e,"x","slice","string_or_numeric");if(s.rank===0)throw new Error("Slicing scalar is not possible");let r={x:s},a={begin:t,size:n};return L.runKernel(Fl,r,a)}var _e=W({slice_:gN});function AN(e){let n={x: $ (e,"x","tanh")};return L.runKernel(Lo,n)}var Yo=W({tanh_:AN});function yN(e,t,n,s,r,a){let o= $ (e,"forgetBias","basicLSTMCell"),i= $ (t,"lstmKernel","basicLSTMCell"),l= $ (n,"lstmBias","basicLSTMCell"),u= $ (s,"data","basicLSTMCell"),c= $ (r,"c","basicLSTMCell"),d= $ (a,"h","basicLSTMCell"),p=gt([u,d],1),h=Ue(p,i),f=le(h,l),m=f.shape[0],g=f.shape[1]/4,A=[m,g],y=_e(f,[0,0],A),x=_e(f,[0,g],A),b=_e(f,[0,g*2],A),v=_e(f,[0,g*3],A),k=le(z(Wn(y),Yo(x)),z(c,Wn(le(o,b)))),S=z(Yo(k),Wn(v));return[k,S]}var xN=W({basicLSTMCell_:yN});function bN(e,t,n){let s= $ (e,"x","batchToSpaceND"),r=t.reduce((i,l)=>i*l);M(s.rank>=1+t.length,()=> ` input rank is $ { s . rank } but should be > than blockShape . length $ { t . length } ` ),M(n.length===t.length,()=> ` crops . length is $ { n . length } but should be equal to blockShape . length $ { t . length } ` ),M(s.shape[0]%r==0,()=> ` input tensor batch is $ { s . shape [ 0 ] } but is not divisible by the product of the elements of blockShape $ { t . join ( " * " ) } === $ { r } ` );let a={x:s},o={blockShape:t,crops:n};return L.runKernel(tl,a,o)}var Bc=W({batchToSpaceND_:bN});function vN(e){let t;return e.rank===0||e.rank===1?t=V(e,[1,1,1,e.size]):e.rank===2?t=V(e,[1,1,e.shape[0],e.shape[1]]):e.rank===3?t=V(e,[1,e.shape[0],e.shape[1],e.shape[2]]):t=e,t}function wN(e,t,n,s,r,a){a==null&&(a=.001);let o= $ (e,"x","batchNorm"),i= $ (t,"mean","batchNorm"),l= $ (n,"variance","batchNorm"),u;r!=null&&(u= $ (r,"scale","batchNorm"));let c;s!=null&&(c= $ (s,"offset","batchNorm")),M(i.rank===l.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),M(c==null||i.rank===c.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),M(u==null||i.rank===u.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let p={x:vN(o),scale:u,offset:c,mean:i,variance:l},h={varianceEpsilon:a},f=L.runKernel(io,p,h);return V(f,o.shape)}var Jo=W({batchNorm_:wN});function kN(e,t,n,s,r,a){let o= $ (e,"x","batchNorm"),i= $ (t,"mean","batchNorm"),l= $ (n,"variance","batchNorm"),u;r!=null&&(u= $ (r,"scale","batchNorm"));let c;return s!=null&&(c= $ (s,"offset","batchNorm")),M(o.rank===2,()=> ` Error in batchNorm2D : x must be rank 2 but got rank $ { o . rank } . ` ),M(i.rank===2||i.rank===1,()=> ` Error in batchNorm2D : mean must be rank 2 or rank 1 but got rank $ { i . rank } . ` ),M(l.rank===2||l.rank===1,()=> ` Error in batchNorm2D : variance must be rank 2 or rank 1 but got rank $ { l . rank } . ` ),u!=null&&M(u.rank===2||u.rank===1,()=> ` Error in batchNorm2D : scale must be rank 2 or rank 1 but got rank $ { u . rank } . ` ),c!=null&&M(c.rank===2||c.rank===1,()=> ` Error in batchNorm2D : offset must be rank 2 or rank 1 but got rank $ { c . rank } . ` ),Jo(o,i,l,c,u,a)}var _b=W({batchNorm2d_:kN});function IN(e,t,n,s,r,a){let o= $ (e,"x","batchNorm"),i= $ (t,"mean","batchNorm"),l= $ (n,"variance","batchNorm"),u;r!=null&&(u= $ (r,"scale","batchNorm"));let c;return s!=null&&(c= $ (s,"offset","batchNorm")),M(o.rank===3,()=> ` Error in batchNorm3D : x must be rank 3 but got rank $ { o . rank } . ` ),M(i.rank===3||i.rank===1,()=> ` Error in batchNorm3D : mean must be rank 3 or rank 1 but got rank $ { i . rank } . ` ),M(l.rank===3||l.rank===1,()=> ` Error in batchNorm3D : variance must be rank 3 or rank 1 but got rank $ { l . rank } . ` ),u!=null&&M(u.rank===3||u.rank===1,()=> ` Error in batchNorm3D : scale must be rank 3 or rank 1 but got rank $ { u . rank } . ` ),c!=null&&M(c.rank===3||c.rank===1,()=> ` Error in batchNorm3D : offset must be rank 3 or rank 1 but got rank $ { c . rank } . ` ),Jo(o,i,l,c,u,a)}var $ b=W({batchNorm3d_:IN});function SN(e,t,n,s,r,a){let o= $ (e,"x","batchNorm"),i= $ (t,"mean","batchNorm"),l= $ (n,"variance","batchNorm"),u;r!=null&&(u= $ (r,"scale","batchNorm"));let c;return s!=
2021-09-11 16:29:31 +02:00
$ { r } and $ { t } for depthToSpace with input shape
2021-09-11 17:17:13 +02:00
$ { s . shape } ` ),M(a*t>=0,()=> ` Negative dimension size caused by overflow when multiplying
$ { a } and $ { t } for depthToSpace with input shape
2021-09-28 18:01:48 +02:00
$ { s . shape } ` ),M(o%(t*t)==0,()=> ` Dimension size must be evenly divisible by $ { t * t } but is $ { o } for depthToSpace with input shape $ { s . shape } ` );let i={x:s},l={blockSize:t,dataFormat:n};return L.runKernel(rl,i,l)}var kA=W({depthToSpace_:jN});function qN(e,t,n,s,r="NHWC",a=[1,1],o){let i= $ (e,"x","depthwiseConv2d"),l= $ (t,"filter","depthwiseConv2d"),u=i,c=!1;i.rank===3&&(c=!0,u=V(i,[1,i.shape[0],i.shape[1],i.shape[2]])),M(u.rank===4,()=> ` Error in depthwiseConv2d : input must be rank 4 , but got rank $ { u . rank } . ` ),M(l.rank===4,()=> ` Error in depthwiseConv2d : filter must be rank 4 , but got rank $ { l . rank } . ` ),M(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 ] } . ` ),o!=null&&M(an(s),()=> ` Error in depthwiseConv2d : pad must be an integer when using , dimRoundingMode $ { o } but got pad $ { s } . ` );let d={x:u,filter:l},p={strides:n,pad:s,dataFormat:r,dilations:a,dimRoundingMode:o},h=L.runKernel(to,d,p);return c?V(h,[h.shape[1],h.shape[2],h.shape[3]]):h}var su=W({depthwiseConv2d_:qN});function XN(e){let n={x: $ (e,"x","diag")};return L.runKernel(Bp,n)}var KN=W({diag_:XN});function ZN(e,t,n,s,r=[1,1],a="NHWC"){let o= $ (e,"x","dilation2d"),i= $ (t,"filter","dilation2d");M(o.rank===3||o.rank===4,()=> ` Error in dilation2d : input must be rank 3 or 4 , but got rank $ { o . rank } . ` ),M(i.rank===3,()=> ` Error in dilation2d : filter must be rank 3 , but got rank $ { i . rank } . ` ),M(a==="NHWC",()=> ` Error in dilation2d : Only NHWC is currently supported , but got dataFormat of $ { a } ` );let l=o,u=!1;o.rank===3&&(l=V(o,[1,o.shape[0],o.shape[1],o.shape[2]]),u=!0);let c={x:l,filter:i},d={strides:n,pad:s,dilations:r},p=L.runKernel(mc,c,d);return u?V(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var IA=W({dilation2d_:ZN});function YN(e,t){let n=e.length,s=[];for(let r=0;r<n;r++){let a=n-1-r,o=e[a]||1;(t[t.length-1-r]||1)>1&&o===1&&s.unshift(a)}return s}function Zt(e,t){let n=[];for(let s=0;s<t.length;s++){let r=e[e.length-s-1],a=t.length-s-1,o=t[a];(r==null||r===1&&o>1)&&n.unshift(a)}return n}function bt(e,t){let n=[],s=Math.max(e.length,t.length);for(let r=0;r<s;r++){let a=e[e.length-r-1];a==null&&(a=1);let o=t[t.length-r-1];if(o==null&&(o=1),a===1)n.unshift(o);else if(o===1)n.unshift(a);else if(a!==o){let i= ` Operands could not be broadcast together with shapes $ { e } and $ { t } . ` ;throw Error(i)}else n.unshift(a)}return n}function JN(e,t){let n= $ (e,"a","equal","string_or_numeric"),s= $ (t,"b","equal","string_or_numeric");[n,s]=Rt(n,s),bt(n.shape,s.shape);let r={a:n,b:s};return L.runKernel(ol,r)}var es=W({equal_:JN});function QN(e,t,n){let s= $ (t,"a","where"),r= $ (n,"b","where"),a= $ (e,"condition","where","bool"),o=bt(bt(a.shape,s.shape),r.shape),i=tu(a,o),l=tu(s,o),u=tu(r,o),c={condition:i,t:l,e:u};return L.runKernel(_l,c)}var kn=W({where_:QN});function eE(e){let n={x: $ (e,"x","zerosLike")};return L.runKernel(Hl,n)}var Ye=W({zerosLike_:eE});function tE(e,t){let n= $ (e,"a","div"),s= $ (t,"b","div");[n,s]=Rt(n,s);let r=he(n,s),a=Ye(r),o=es(s,a);return kn(o,a,r)}var SA=W({divNoNan_:tE});function nE(e,t){let n= $ (e,"t1","dot"),s= $ (t,"t2","dot");M((n.rank===1||n.rank===2)&&(s.rank===1||s.rank===2),()=> ` Error in dot : inputs must all be rank 1 or 2 , but got ranks $ { n . rank } and $ { s . rank } . ` );let r=n.rank===1?n.size:n.shape[1],a=s.rank===1?s.size:s.shape[0];if(M(r===a,()=> ` Error in dot : inner dimensions of inputs must match , but got $ { r } and $ { a } . ` ),n.rank===1&&s.rank===1){let o=V(n,[1,-1]),i=V(s,[-1,1]),l=Ue(o,i);return V(l,[])}else if(n.rank===1&&s.rank===2){let o=V(n,[1,-1]),i=V(s,[s.shape[0],s.shape[1]]),l=Ue(o,i);return V(l,[l.size])}else if(n.rank===2&&s.rank===1){let o=V(s,[-1,1]),i=Ue(n,o);return V(i,[i.size])}else{let o=V(s,[s.shape[0],s.shape[1]]);return Ue(n,o)}}var Vb=W({dot_:nE});function sE(e,...t){let n=t.map((r,a)=> $ (r, ` tensors$ { a } ` ,"einsum")),s={equation:e};return L.runKernel(Up,n,s)}var Ub=W({einsum_:sE});function rE(e){let n={x: $ (e,"x","elu")};return L.runKernel(so,n)}var ru=W({elu_:rE});function aE(e){let t= $ (e,"x","erf");M(t.dtype==="int32"||t.dtype==="float32",()=>"Input dtype must be
2021-09-28 19:48:29 +02:00
rank $ { a . rank } . ` ),M(an(t),()=> ` Error in localResponseNormalization : depthRadius must be an integer but got depthRadius $ { t } . ` );let o=a,i=!1;a.rank===3&&(i=!0,o=V(a,[1,a.shape[0],a.shape[1],a.shape[2]]));let l={x:o},u={depthRadius:t,bias:n,alpha:s,beta:r},c=L.runKernel(xc,l,u);return i?V(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var RA=W({localResponseNormalization_:wE});function kE(e){let n={x: $ (e,"x","log")};return L.runKernel(po,n)}var ns=W({log_:kE});function IE(e){let n={x: $ (e,"x","log1p")};return L.runKernel(yl,n)}var Uc=W({log1p_:IE});function SE(e){return M(ra(e),()=>"The f passed in grad(f) must be a function"),(t,n)=>{let s= $ (t,"x","tf.grad","string_or_numeric"),r=n!=null? $ (n,"dy","tf.grad"):null;return L.tidy(()=>{let{value:a,grads:o}=L.gradients(()=>e(s),[s],r);return r!=null&&Cn(a.shape,r.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),Ph(o),o[0]})}}function CE(e){return M(ra(e),()=>"The f passed in grads(f) must be a function"),(t,n)=>{M(Array.isArray(t),()=>"The args passed in grads(f)(args) must be an array of ` Tensor ` s or ` TensorLike ` s");let s=Oc(t,"args","tf.grads","string_or_numeric"),r=n!=null? $ (n,"dy","tf.grads"):null;return L.tidy(()=>{let{value:a,grads:o}=L.gradients(()=>e(...s),s,r);return r!=null&&Cn(a.shape,r.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Ph(o),o})}}function TE(e){return M(ra(e),()=>"The f passed in valueAndGrad(f) must be a function"),(t,n)=>{M(t instanceof He,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),M(n==null||n instanceof He,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:s,value:r}=L.gradients(()=>e(t),[t],n);return Ph(s),{grad:s[0],value:r}}}function NE(e){return M(ra(e),()=>"The f passed in valueAndGrads(f) must be a function"),(t,n)=>{M(Array.isArray(t)&&t.every(r=>r instanceof He),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),M(n==null||n instanceof He,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let s=L.gradients(()=>e(...t),t,n);return n!=null&&Cn(s.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Ph(s.grads),s}}function qb(e,t){M(ra(e),()=>"The f passed in variableGrads(f) must be a function"),M(t==null||Array.isArray(t)&&t.every(u=>u instanceof _c),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let n=t!=null;if(!n){t=[];for(let u in L.registeredVariables)t.push(L.registeredVariables[u])}let s=n?t.filter(u=>!u.trainable):null,r=t.length;t=t.filter(u=>u.trainable),M(t.length>0,()=> ` variableGrads ( ) expects at least one of the input variables to be trainable , but none of the $ { r } variables is trainable . ` );let a=!0,{value:o,grads:i}=L.gradients(e,t,null,a);M(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()."),M(o.rank===0,()=> ` The f passed in variableGrads ( f ) must return a scalar , but it returned a rank - $ { o . rank } tensor ` );let l={};return t.forEach((u,c)=>{i[c]!=null&&(l[u.name]=i[c])}),s!=null&&s.forEach(u=>l[u.name]=null),{value:o,grads:l}}function hr(e){return L.customGrad(e)}function Ph(e){if(e.filter(n=>n==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 EE(e){let n={x: $ (e,"x","neg")};return L.runKernel(vl,n)}var St=W({neg_:EE});function RE(e){let n={x: $ (e,"x","softplus")};return L.runKernel(Ml,n)}var ei=W({softplus_:RE});function DE(e){let t= $ (e,"x","logSigmoid");return hr(s=>({value:St(ei(St(s))),gradFunc:o=>z(o,Wn(St(s)))}))(t)}var Xb=W({logSigmoid_:DE});function _E(e,t=null,n=!1){let r={x: $ (e,"x","max")},a={reductionIndices:t,keepDims:n};return L.runKernel(ho,r,a)}var ss=W({max_:_E});function $ E(e,t){let n= $ (e,"a","sub"),s= $ (t,"b","sub");[n,s]=Rt(n,s);let r={a:n,b:s};return L.runKernel(Mo,r)}var ye=W({sub_: $ E});function FE(e,t=null,n=!1){let s= $ (e,"x","sum");s.dtype==="bool"&&(s=pe(s,"int32"));let r={x:s},a={axis:t,keepDims:n};return L.runKernel(Fo,r,a)}var we=W({sum_:FE});function OE(e,t=-1){let n= $ (e,"logits","logSoftmax");if(t===-1&&(t=n.rank-1),t!==n.rank-1)throw Error( ` Log Softmax along a non - last dimension is not yet supported . Logits was rank $ { n . rank } and axis was $ { t } ` );return hr((r,a)=>{let o=!0,i=ss(r,t,!0),l=ye(r,i),u=ye(pe(l,"float32"),ns(we(ts(l),t,o)));return a([u]),{value:u,gradFunc:(d,p)=>{let[h]=p,f=!0,m=ts(h);return ye(d,z(we(d,t,f),m))}}})(n)}var Mh=W({logSoftmax_:OE});function DA(e,t){for(let n=0;n<e.length;++n)if(e[e.length-n-1]!==t-1-n)return!1;return!0}function Kb(e,t,n){let s=e.length+t.length,r=[],a=0,o=0;for(let i=0;i<s;i++)n.indexOf(i)===-1?r.push(e[a++]):r.push(t[o++]);return r}function Zb(e,t){let n=[],s=e.length;for(let a=0;a<s;a++)t.indexOf(a)===-1&&n.push(e[a]);let r=t.map(a=>e[a]);return[n,r]}function ti(e,t){let n=t.map(s=>1);return Kb(e,n,t)}function PE(e,t,n){M(DA(t,n),()=> ` $ { e } supports only inner - most axes for now . Got axes $ { t } and rank - $ { n } input . ` )}function Yb(e,t){if(DA(e,t))return null;let n=[];for(let s=0;s<t;++s)e.indexOf(s)===-1&&n.push(s);return e.forEach(s=>n.push(s)),n}function _A(e){return e.map((t,n)=>[n,t]).sort((t,n)=>t[1]-n[1]).map(t=>t[0])}function ME(e,t){let n=[];for(let s=t-e;s<t;++s)n.push(s);return n}function zE(e,t=null,n=!1){let s= $ (e,"x","logSumExp"),r=Rs(t,s.shape),a=ss(s,r,!0),o=ye(s,a),i=ts(o),l=we(i,r),u=ns(l),c=le(V(a,u.shape),u);if(n){let d=ti(c.shape,r);return V(c,d)}return c}var $ A=W({logSumExp_:zE});function LE(e,t){let n= $ (e,"a","logicalAnd","bool"),s= $ (t,"b","logicalAnd","bool");bt(n.shape,s.shape);let r={a:n,b:s};return L.runKernel(xl,r)}var $ s=W({logicalAnd_:LE});function BE(e){let n={x: $ (e,"x","logicalNot","bool")};return L.runKernel(Ac,n)}var Hc=W({logicalNot_:BE});function WE(e,t){let n= $ (e,"a","logicalOr","bool"),s= $ (t,"b","logicalOr","bool");bt(n.shape,s.shape);let r={a:n,b:s};return L.runKernel(yc,r)}var zh=W({logicalOr_:WE});function VE(e,t){let n= $ (e,"a","logicalXor","bool"),s= $ (t,"b","logicalXor","bool");return bt(n.shape,s.shape), $ s(zh(e,t),Hc( $ s(e,t)))}var Jb=W({logicalXor_:VE});function UE(e,t,n,s,r){let a= $ (e,"x","maxPool"),o=1,i=a,l=!1;a.rank===3&&(l=!0,i=V(a,[1,a.shape[0],a.shape[1],a.shape[2]])),M(i.rank===4,()=> ` Error in maxPool : input must be rank 4 but got rank $ { i . rank } . ` ),M(pr(n,o),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { n } and dilations '${o}' ` ),r!=null&&M(an(s),()=> ` Error in maxPool : pad must be an integer when using , dimRoundingMode $ { r } but got pad $ { s } . ` );let u={x:i},c={filterSize:t,strides:n,pad:s,dimRoundingMode:r},d=L.runKernel(mo,u,c);return l?V(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Gc=W({maxPool_:UE});function HE(e,t=[1,1,1],n,s,r,a="NDHWC"){let o= $ (e,"x","maxPool3d"),i=o,l=!1;o.rank===4&&(l=!0,i=V(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),M(i.rank===5,()=> ` Error in maxPool3d : x must be rank 5 but got rank $ { i . rank } . ` ),M(a==="NDHWC",()=> ` Error in maxPool3d : Only NDHWC is currently supported , but got dataFormat of $ { a } ` ),r!=null&&M(an(s),()=> ` Error in maxPool3d : pad must be an integer when using , dimRoundingMode $ { r } but got pad $ { s } . ` );let u={x:i},c={filterSize:t,strides:n,pad:s,dimRoundingMode:r,dataFormat:a},d=L.runKernel(bc,u,c);return l?V(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var FA=W({maxPool3d_:HE});function GE(e
2021-09-28 18:01:48 +02:00
$ { r . shape } ` );if(a.rank!==1)throw new Error( ` Values should be Tensor1D but received shape $ { a . shape } ` );if(o.rank!==1)throw new Error( ` Dense shape should be Tensor1D but received shape $ { o . shape } ` );if(i.rank!==0)throw new Error( ` Default value should be a scalar but received shape $ { i . shape } ` );let l={indices:r,values:a,denseShape:o,defaultValue:i},u=L.runKernel(sh,l);return{outputIndices:u[0],outputValues:u[1],emptyRowIndicator:u[2],reverseIndexMap:u[3]}}var r $ =W({sparseFillEmptyRows_:s $ });function a $ (e,t,n){let s= $ (e,"inputIndices","sparseReshape"),r= $ (t,"inputShape","sparseReshape"),a= $ (n,"newShape","sparseReshape");if(s.rank!==2)throw new Error( ` Input indices should be Tensor2D but received shape
$ { s . shape } ` );if(r.rank!==1)throw new Error( ` Input shape should be Tensor1D but received shape $ { r . shape } ` );if(a.rank!==1)throw new Error( ` New shape should be Tensor1D but received shape $ { a . shape } ` );let o={inputIndices:s,inputShape:r,newShape:a},i=L.runKernel(rh,o);return{outputIndices:i[0],outputShape:i[1]}}var o $ =W({sparseReshape_:a $ });function i $ (e,t,n){let s= $ (e,"data","sparseSegmentMean"),r= $ (t,"indices","sparseSegmentMean"),a= $ (n,"segmentIds","sparseSegmentMean");if(s.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.rank!==1)throw new Error( ` Indices should be Tensor1D but received shape
2021-09-11 17:17:13 +02:00
$ { r . shape } ` );if(a.rank!==1)throw new Error( ` Segment ids should be Tensor1D but received shape
2021-09-28 18:01:48 +02:00
$ { a . shape } ` );let o={data:s,indices:r,segmentIds:a};return L.runKernel(ah,o)}var l $ =W({sparseSegmentMean_:i $ });function u $ (e,t,n){let s= $ (e,"data","sparseSegmentSum"),r= $ (t,"indices","sparseSegmentSum"),a= $ (n,"segmentIds","sparseSegmentSum");if(s.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.rank!==1)throw new Error( ` Indices should be Tensor1D but received shape
2021-09-11 17:17:13 +02:00
$ { r . shape } ` );if(a.rank!==1)throw new Error( ` Segment ids should be Tensor1D but received shape
2021-09-28 19:48:29 +02:00
$ { a . shape } ` );let o={data:s,indices:r,segmentIds:a};return L.runKernel(oh,o)}var c $ =W({sparseSegmentSum_:u $ });function d $ (e,t,n,s,r,a,o,i){let l= $ (e,"data","stringNGrams","string");if(l.dtype!=="string")throw new Error("Data must be of datatype string");if(l.shape.length!==1)throw new Error( ` Data must be a vector , saw : $ { l . shape } ` );let u= $ (t,"dataSplits","stringNGrams");if(u.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let c={separator:n,nGramWidths:s,leftPad:r,rightPad:a,padWidth:o,preserveShortSequences:i},d={data:l,dataSplits:u},p=L.runKernel(lh,d,c);return{nGrams:p[0],nGramsSplits:p[1]}}var p $ =W({stringNGrams_:d $ });function h $ (e,t,n=!0){let s= $ (e,"input","stringSplit","string"),r= $ (t,"delimiter","stringSplit","string");if(s.rank!==1)throw new Error( ` Input should be Tensor1D but received shape $ { s . shape } ` );if(r.rank!==0)throw new Error( ` Delimiter should be a scalar but received shape $ { r . shape } ` );let a={skipEmpty:n},o={input:s,delimiter:r},i=L.runKernel(uh,o,a);return{indices:i[0],values:i[1],shape:i[2]}}var f $ =W({stringSplit_:h $ });function m $ (e,t){let n= $ (e,"input","stringToHashBucketFast","string"),s={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let r={input:n};return L.runKernel(ch,r,s)}var g $ =W({stringToHashBucketFast_:m $ }),A $ ={fft:Yc,ifft:cu,rfft:Jc,irfft:Kh},y $ ={hammingWindow:XD,hannWindow:h3,frame:f3,stft:JD},De={flipLeftRight:n_,grayscaleToRGB:r_,resizeNearestNeighbor:b3,resizeBilinear:x3,rotateWithOffset:o_,cropAndResize:e_,nonMaxSuppression:l_,nonMaxSuppressionAsync:g_,nonMaxSuppressionWithScore:y_,nonMaxSuppressionWithScoreAsync:b_,nonMaxSuppressionPadded:w_,nonMaxSuppressionPaddedAsync:I_,threshold:E_,transform:D_},w3={bandPart: $ _,gramSchmidt:O_,qr:M_},x $ ={absoluteDifference:B_,computeWeightedLoss:zr,cosineDistance:V_,hingeLoss:H_,huberLoss:j_,logLoss:X_,meanSquaredError:Z_,sigmoidCrossEntropy:Q_,softmaxCrossEntropy:n $ },Qc={sparseFillEmptyRows:r $ ,sparseReshape:o $ ,sparseSegmentMean:l $ ,sparseSegmentSum:c $ },rf={stringNGrams:p $ ,stringSplit:f $ ,stringToHashBucketFast:g $ },Lr=class extends kb{minimize(e,t=!1,n){let{value:s,grads:r}=this.computeGradients(e,n);if(n!=null){let a=n.map(o=>({name:o.name,tensor:r[o.name]}));this.applyGradients(a)}else this.applyGradients(r);return Z(r),t?s:(s.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return qb(e,t)}dispose(){this.iterations_!=null&&Z(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:Ce(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(Lr,Symbol.hasInstance,{value:e=>e.minimize!=null&&e.computeGradients!=null&&e.applyGradients!=null});var af=class extends Lr{constructor(e,t,n=null){super();this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=L.backend.epsilon())}applyGradients(e){(Array.isArray(e)?e.map(n=>n.name):Object.keys(e)).forEach((n,s)=>{let r=L.registeredVariables[n],a=!1;this.accumulatedGrads[s]==null&&(this.accumulatedGrads[s]={originalName: ` $ { n } / accum _grad ` ,variable:H(()=>Ye(r).variable(a))}),this.accumulatedUpdates[s]==null&&(this.accumulatedUpdates[s]={originalName: ` $ { n } / accum _var ` ,variable:H(()=>Ye(r).variable(a))});let o=Array.isArray(e)?e[s].tensor:e[n];if(o==null)return;let i=this.accumulatedGrads[s].variable,l=this.accumulatedUpdates[s].variable;H(()=>{let u=le(z(i,this.rho),z(ft(o),1-this.rho)),c=z(he(An(le(l,this.epsilon)),An(le(i,this.epsilon))),o),d=le(z(l,this.rho),z(ft(c),1-this.rho));i.assign(u),l.assign(d);let p=le(z(c,-this.learningRate),r);r.assign(p)})}),this.incrementIterations()}dispose(){this.accumulatedU
$ { a } ) . ` );if(n<s)throw new Error( ` batchDims ( $ { s } ) must be less than or equal to axis ( $ { n } ) . ` );for(let d=0;d<s;++d)if(e.shape[d]!==t.shape[d])throw new Error( ` x . shape [ $ { d } ] : $ { e . shape [ d ] } should be equal to indices . shape [ $ { d } ] : $ { t . shape [ d ] } . ` );let o=e.shape[n],i=[],l=1,u=1,c=1;for(let d=0;d<s;++d)i.push(e.shape[d]),l*=e.shape[d];for(let d=s;d<n;d++)i.push(e.shape[d]),u*=e.shape[d];for(let d=s;d<r;d++)i.push(t.shape[d]);for(let d=n+1;d<a;d++)i.push(e.shape[d]),c*=e.shape[d];return{batchSize:l,sliceSize:c,outerSize:u,dimSize:o,outputShape:i}}function tF(e){try{return e.map(t=>gh(t))}catch(t){throw new Error( ` Failed to decode encoded string bytes into utf - 8 , error : $ { t } ` )}}function nF(e){return e.map(t=>Nc(t))}var mr={};Le(mr,{nonMaxSuppressionV3Impl:()=>m3,nonMaxSuppressionV4Impl:()=>g3,nonMaxSuppressionV5Impl:()=>A3,whereImpl:()=>a3});var N3={kernelName:Gi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,du(pe(n,"float32"),-1))}}},sF={kernelName:ji,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let s=ft(pe(n,"float32")),r=An(ye(Ce(1),s));return St(he(e,r))}}}},rF={kernelName:qi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let s=An(ye(ft(pe(n,"float32")),1));return he(e,s)}}}},aF={kernelName:aa,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,s]=t,r=bt(n.shape,s.shape);return{a:()=>{let i=e,l=Zt(n.shape,r);return l.length>0&&(i=we(i,l)),V(i,n.shape)},b:()=>{let i=e,l=Zt(s.shape,r);return l.length>0&&(i=we(i,l)),V(i,s.shape)}}}},oF={kernelName:Ha,saveAllInputs:!0,gradFunc:(e,t)=>{let n={};return t.forEach((s,r)=>{n[r]=()=>e.clone()}),n}},iF={kernelName:Ga,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>Ye(n)}}},lF={kernelName:dc,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>Ye(n)}}},uF={kernelName:Zi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,An(ye(Ce(1),ft(pe(n,"float32")))))}}},cF={kernelName:Yi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let s=An(le(Ce(1),ft(pe(n,"float32"))));return he(e,s)}}}},dF={kernelName:el,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,s]=t,r=bt(n.shape,s.shape);return{a:()=>{let i=le(ft(n),ft(s)),l=z(e,he(s,i)),u=Zt(n.shape,r);return u.length>0&&(l=we(l,u)),V(l,n.shape)},b:()=>{let i=le(ft(n),ft(s)),l=St(z(e,he(n,i))),u=Zt(s.shape,r);return u.length>0&&(l=we(l,u)),V(l,s.shape)}}}},pF={kernelName:Ji,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,le(ft(pe(n,"float32")),1))}}},hF={kernelName:Qi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,ye(Ce(1),ft(pe(n,"float32"))))}}};function fF(e,t,n,s,r,a){let o= $ (e,"dy","avgPool3dGrad"),i= $ (t,"input","avgPool3dGrad"),l=o,u=i,c=!1;i.rank===4&&(c=!0,l=V(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]]),u=V(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),M(l.rank===5,()=> ` Error in avgPool3dGrad : dy must be rank 5 but got rank $ { l . rank } . ` ),M(u.rank===5,()=> ` Error in avgPool3dGrad : input must be rank 5 but got rank $ { u . rank } . ` ),a!=null&&M(an(r),()=> ` Error in avgPool3dGrad : pad must be an integer when using , dimRoundingMode $ { a } but got pad $ { r } . ` );let d={dy:l,input:u},p={filterSize:n,strides:s,pad:r,dimRoundingMode:a},h=L.runKernel(Dp,d,p);return c?V(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}var mF=W({avgPool3dGrad_:fF}),gF={kernelName:pc,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[s]=t,{filterSize:r,strides:a,pad:o,dimRoundingMode:i}=n;return{x:()=>mF(e,s,r,a,o,i)}}};function AF(e,t,n,s,r){let a= $ (e,"dy","avgPoolGrad"),o= $ (t,"input","avgPoolGrad");M(o.rank===a.rank,()=> ` Rank of input ( $ { o . rank } ) does not match rank of dy ( $ { a . rank } ) ` );let i=o,l=a,u=!1;o.rank===3&&(u=!0,i=V(o,[1,o.shape[0],o.shape[1],o.shape[2]]),l=V(a,[1,a.shape[0],a.shape[1],a.shape[2]])),M(l.rank===4,()=> ` Error in avgPoolGrad : dy must be rank 4 but got rank $ { l . rank } . ` ),M(i.rank===4,()=> ` Error in avgPoolGrad : input must be rank 4 but got rank $ { i . rank } . ` );let c={dy:l,input:i},d={filterSize:n,strides:s,pad:r},p=L.runKernel(Rp,c,d);return u?V(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var yF=W({avgPoolGrad_:AF}),xF={kernelName:ja,inputsToSave:["x"],gradFunc
2021-09-11 17:17:13 +02:00
1. The $ { s } is defined in Python , in which case it needs to be ported to TensorFlow . js or your JavaScript code .
2. The custom $ { s } is defined in JavaScript , but is not registered properly with tf . serialization . registerClass ( ) . ` );return o}else{let a=e;if(a.className==null||a.config==null)throw new G( ` $ { s } : Improper config format : $ { JSON . stringify ( a ) } .
2021-09-27 14:53:41 +02:00
'className' and 'config' must set . ` );let o=a.className,i,l;if(o in n?[i,l]=n[o]:o in Fs?[i,l]=Fs.className:o in t&&([i,l]=t[o]),i==null)throw new G( ` Unknown $ { s } : $ { o } . This may be due to one of the following reasons :
2021-09-11 17:17:13 +02:00
1. The $ { s } is defined in Python , in which case it needs to be ported to TensorFlow . js or your JavaScript code .
2021-09-28 19:48:29 +02:00
2. The custom $ { s } is defined in JavaScript , but is not registered properly with tf . serialization . registerClass ( ) . ` );if(l!=null){let u={};for(let h of Object.keys(Fs))u[h]=Fs[h];for(let h of Object.keys(n))u[h]=n[h];let c=a.config;c.customObjects=u;let d=Object.assign({},Fs);for(let h of Object.keys(n))Fs[h]=n[h];n1(a.config);let p=l(i,a.config,n,r);return Fs=Object.assign({},d),p}else{let u=Object.assign({},Fs);for(let d of Object.keys(n))Fs[d]=n[d];let c=new i(a.config);return Fs=Object.assign({},u),c}}}function rP(e,t){return e<t?-1:e>t?1:0}function hf(e,t){return-1*rP(e,t)}function xa(e){if(e==null)return e;let t=[];for(let n of e)t.indexOf(n)===-1&&t.push(n);return t}function aP(e){if(e==null)throw new G( ` Invalid value in obj : $ { JSON . stringify ( e ) } ` );for(let t in e)if(e.hasOwnProperty(t))return!1;return!0}function li(e,t,n){if(n!=null&&e.indexOf(n)<0)throw new G( ` $ { n } is not a valid $ { t } . Valid values are $ { e } or null / undefined . ` )}function s1(e,t,n=0,s=1/0){return gr(n>=0),gr(s>=n),Array.isArray(e)&&e.length>=n&&e.length<=s&&e.every(r=>typeof r===t)}function cn(e,t){Array.isArray(e)?(w.assert(e.length>0,()=> ` $ { t } is unexpectedly an empty array . ` ),e.forEach((n,s)=>cn(n, ` element $ { s + 1 } of $ { t } ` ))):w.assert(Number.isInteger(e)&&e>0,()=> ` Expected $ { t } to be a positive integer , but got $ { L3 ( e ) } . ` )}function L3(e){return e===null?"null":Array.isArray(e)?"["+e.map(t=>L3(t)).join(",")+"]":typeof e=="string"? ` "${e}" ` : ` $ { e } ` }function oP(e,t){let n=w.now(),s;return(...a)=>{let o=w.now();return o-n<t||(n=o,s=e(...a)),s}}function B3(e){return e==="relu"?"relu":e==="linear"?"linear":e==="elu"?"elu":null}function r1(e,t){return H(()=>An(we(z(e,e),t,!0)))}var nd=class extends ue.Serializable{getConfig(){return{}}},a1=class extends nd{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 H(()=>{let t=r1(e,this.axis),n=Vn(t,0,this.maxValue);return z(e,he(n,le(Yt(),t)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};a1.className="MaxNorm";ue.registerClass(a1);var o1=class extends nd{constructor(e){super();this.defaultAxis=0,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return H(()=>he(e,le(Yt(),r1(e,this.axis))))}getConfig(){return{axis:this.axis}}};o1.className="UnitNorm";ue.registerClass(o1);var i1=class extends nd{apply(e){return js(e)}};i1.className="NonNeg";ue.registerClass(i1);var l1=class extends nd{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 H(()=>{let t=r1(e,this.axis),n=le(z(this.rate,Vn(t,this.minValue,this.maxValue)),z(1-this.rate,t));return z(e,he(n,le(Yt(),t)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};l1.className="MinMaxNorm";ue.registerClass(l1);var W3={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function Jt(e){return t1(e)}function V3(e,t={}){return td(e,ue.SerializationMap.getMap().classNameMap,t,"constraint")}function Qt(e){if(e==null)return null;if(typeof e=="string"){let n={className:e in W3?W3[e]:e,config:{}};return V3(n)}else return e instanceof nd?e:V3(e)}function iP(e){return new a1(e)}function lP(e){return new o1(e)}function uP(){return new i1}function cP(e){return new l1(e)}var U3={};Le(U3,{constant:()=> $ P,glorotNormal:()=>BP,glorotUniform:()=>LP,heNormal:()=>WP,heUniform:()=>VP,identity:()=>MP,leCunNormal:()=>UP,leCunUniform:()=>HP,ones:()=>_P,orthogonal:()=>GP,randomNormal:()=>OP,randomUniform:()=>FP,truncatedNormal:()=>PP,varianceScaling:()=>zP,zeros:()=>DP});var dP=["channelsFirst","channelsLast"],pP=["nearest","bilinear"],hP=["valid","same","causal"],fP=["max","avg"],mP=["sum","mul","concat","ave"],hu=new Map;function Lt(e){li(dP,"DataFormat",e)}function gP(e
2021-09-28 18:01:48 +02:00
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),Ms(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,un(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,s)=>this.write(n,t[s]))}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 s=0;s<this.size();s++)e.push(s)}if(e.length===0)return ln([],[0].concat(this.elementShape));let n=this.readMany(e);return Ms(this.elementShape,n[0].shape,"TensorArray shape mismatch: "),yn(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 ln([],[0].concat(this.elementShape));let t=[];for(let s=0;s<this.size();s++)t.push(s);let n=this.readMany(t);return Ms(this.elementShape,n[0].shape, ` TensorArray shape mismatch : tensor array shape ( $ { this . elementShape } ) vs first tensor shape ( $ { n [ 0 ] . shape } ) ` ),gt(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,En(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,s=e.map(i=>(n+=i,n));if(n!==t.shape[0])throw new Error( ` Expected sum of lengths to be equal to
2021-09-11 16:29:31 +02:00
tensor . shape [ 0 ] , but sum of lengths is
2021-09-28 18:01:48 +02:00
$ { 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 r=n===0?0:t.size/n,a=[];H(()=>{t=V(t,[1,n,r]);for(let i=0;i<e.length;++i){let l=i===0?0:s[i-1],u=[0,l,0],c=[1,e[i],r];a[i]=V(_e(t,u,c),this.elementShape)}return a});let o=[];for(let i=0;i<e.length;i++)o[i]=i;this.writeMany(o,a)}},bd=class{constructor(e,t,n,s=-1){this.tensors=e,this.elementShape=t,this.elementDtype=n,e!=null&&e.forEach(r=>{if(n!==r.dtype)throw new Error( ` Invalid data types ; op elements $ { n } , but list elements $ { r . dtype } ` );Ms(t,r.shape,"TensorList shape mismatch: "),un(r)}),this.idTensor=Ce(0),this.maxNumElements=s,un(this.idTensor)}get id(){return this.idTensor.id}copy(){return new bd([...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 . ` );Ms(e,this.elementShape,"TensorList shape mismatch: ");let s=xd(this.elementShape,this.tensors,e);return H(()=>{let r=this.tensors.map(a=>V(a,s));return yn(r,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=xd(this.elementShape,this.tensors,e),s=this.tensors.pop();return Ms(s.shape,e,"TensorList shape mismatch: "),V(s,n)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { e . dtype } , but list elements $ { this . elementDtype } ` );if(Ms(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");un(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 . ` );Ms(this.tensors[e].shape,t,"TensorList shape mismatch: ");let s=xd(this.elementShape,this.tensors,t);return V(this.tensors[e],s)}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 . ` );Ms(this.elementShape,t.shape,"TensorList shape mismatch: "),un(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 } ` );Ms(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());let s=xd(this.elementShape,this.tensors,n);return e.length===0?ln([],[0].concat(s)):H(()=>{let r=e.map(a=>V(this.tensors[a],s));return yn(r,0)})}concat(e,t){if(!!e&&e!==this.elementDtype)throw new Error( ` TensorList dtype is $ { this . elementDtype } but concat requested dtype $ { e } ` );Ms(this.elementShape,t,"TensorList shape mismatch: ");let n=xd(this.elementShape,this.tensors,t);return this.size()===0?ln([],[0].concat(n)):H(()=>{let s=this.tensors.map(r=>V(r,n));return gt(s,0)})}};function fB(e,t,n){let s=e.dtype;if(e.shape.length<1)throw new Error( ` Tensor m
2021-09-11 16:29:31 +02:00
tensor . shape [ 0 ] , but sum of lengths is
2021-09-28 18:01:48 +02:00
$ { s } , and tensor ' s shape is : $ { e . shape } ` );let a=e.shape.slice(1),o=Jy(a,n),i=s===0?0:e.size/s,l=H(()=>{let c=[];e=V(e,[1,s,i]);for(let d=0;d<t.length;++d){let p=d===0?0:r[d-1],h=[0,p,0],f=[1,t[d],i];c[d]=V(_e(e,h,f),o)}return e.dispose(),c}),u=new bd([],n,e.dtype,t.length);for(let c=0;c<l.length;c++)u.setItem(c,l[c]);return u}var yB=async(e,t,n)=>{switch(e.op){case"If":case"StatelessIf":{let s=I("thenBranch",e,t,n),r=I("elseBranch",e,t,n),a=I("cond",e,t,n),o=I("args",e,t,n);return(await a.data())[0]?n.functionMap[s].executeFunctionAsync(o,n.tensorArrayMap,n.tensorListMap):n.functionMap[r].executeFunctionAsync(o,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{let s=I("body",e,t,n),r=I("cond",e,t,n),a=I("args",e,t,n),o=await n.functionMap[r].executeFunctionAsync(a,n.tensorArrayMap,n.tensorListMap),i=a.map(c=>c.id),l=await o[0].data();o.forEach(c=>{!c.kept&&i.indexOf(c.id)===-1&&c.dispose()});let u=a;for(;l[0];){let c=u;u=await n.functionMap[s].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);let d=u.map(h=>h.id);c.forEach(h=>{!h.kept&&i.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()});let p=await n.functionMap[r].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);l=await p[0].data(),p.forEach(h=>{!h.kept&&i.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()})}return u}case"LoopCond":{let s=I("pred",e,t,n);return[Hr(s)]}case"Switch":{let s=I("pred",e,t,n),r=I("data",e,t,n);return r.kept||(r=Hr(r)),(await s.data())[0]?[void 0,r]:[r,void 0]}case"Merge":{let s=e.inputNames.find(r=>Dn(r,t,n)!==void 0);if(s){let r=Dn(s,t,n);return[Hr(r)]}return}case"Enter":{let s=I("frameName",e,t,n),r=I("tensor",e,t,n);return n.enterFrame(s),[Hr(r)]}case"Exit":{let s=I("tensor",e,t,n);return n.exitFrame(),[Hr(s)]}case"NextIteration":{let s=I("tensor",e,t,n);return n.nextIteration(),[Hr(s)]}case"TensorArrayV3":{let s=I("size",e,t,n),r=I("dtype",e,t,n),a=I("elementShape",e,t,n),o=I("dynamicSize",e,t,n),i=I("clearAfterRead",e,t,n),l=I("identicalElementShapes",e,t,n),u=I("name",e,t,n),c=new hB(u,r,s,a,l,o,i);return n.addTensorArray(c),[c.idTensor,Ce(1)]}case"TensorArrayWriteV3":{let s=I("tensorArrayId",e,t,n),r=I("index",e,t,n),a=I("tensor",e,t,n),o=n.getTensorArray(s.id);return o.write(r,a),[o.idTensor]}case"TensorArrayReadV3":{let s=I("tensorArrayId",e,t,n),r=I("index",e,t,n);return[n.getTensorArray(s.id).read(r)]}case"TensorArrayGatherV3":{let s=I("tensorArrayId",e,t,n),r=I("indices",e,t,n),a=I("dtype",e,t,n);return[n.getTensorArray(s.id).gather(r,a)]}case"TensorArrayScatterV3":{let s=I("tensorArrayId",e,t,n),r=I("indices",e,t,n),a=I("tensor",e,t,n),o=n.getTensorArray(s.id);return o.scatter(r,a),[o.idTensor]}case"TensorArrayConcatV3":{let s=I("tensorArrayId",e,t,n),r=n.getTensorArray(s.id),a=I("dtype",e,t,n);return[r.concat(a)]}case"TensorArraySplitV3":{let s=I("tensorArrayId",e,t,n),r=I("tensor",e,t,n),a=I("lengths",e,t,n),o=n.getTensorArray(s.id);return o.split(a,r),[o.idTensor]}case"TensorArraySizeV3":{let s=I("tensorArrayId",e,t,n),r=n.getTensorArray(s.id);return[Ce(r.size(),"int32")]}case"TensorArrayCloseV3":{let s=I("tensorArrayId",e,t,n),r=n.getTensorArray(s.id);return r.clearAndClose(),[r.idTensor]}case"TensorListSetItem":{let s=I("tensorListId",e,t,n),r=I("index",e,t,n),a=I("tensor",e,t,n),o=n.getTensorList(s.id);return o.setItem(r,a),[o.idTensor]}case"TensorListGetItem":{let s=I("tensorListId",e,t,n),r=I("index",e,t,n),a=I("elementShape",e,t,n),o=I("elementDType",e,t,n);return[n.getTensorList(s.id).getItem(r,a,o)]}case"TensorListScatterV2":case"TensorListScatter":{let s=I("indices",e,t,n),r=I("tensor",e,t,n),a=I("elementShape",e,t,n),o=I("numElements",e,t,n),i=gB(r,s,a,o);return n.addTensorList(i),[i.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let s=I("elementShape",e,t,n),r=I("elementDType",e,t,n),a;e.op==="TensorListReserve"?a="numElements":a="maxNumElements";let o=I(a,e,t,n),i=mB(s,r,o);return n.addTensorList(i),[i.idTensor]}case"TensorListGather":{let s=I("tensorListId",e,t,n),r=I("indices",e,t,n),a=I("elementShape",e,t,n),o=I("elementDType",e,t,n);return[n.getTensor
$ { e } ` );let s;return this.size===1/0||this.size==null?s=this.size:t?s=Math.ceil(this.size/e):s=Math.floor(this.size/e),ls(async()=>(await n.iterator()).columnMajorBatch(e,t,gW),s)}concatenate(e){let t=this,n;return this.size===1/0||e.size===1/0?n=1/0:this.size!=null&&e.size!=null?n=this.size+e.size:n=null,ls(async()=>(await t.iterator()).concatenate(await e.iterator()),n)}filter(e){let t=this,n;return this.size===1/0?n=1/0:n=null,ls(async()=>(await t.iterator()).filter(s=>H(()=>e(s))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){let t=this;return ls(async()=>(await t.iterator()).map(n=>H(()=>e(n))),this.size)}mapAsync(e){let t=this;return ls(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 ls(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=1/0:n=null,ls(async()=>{let s=n2(async()=>({value:await t.iterator(),done:!1}));return eW(s.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,ls(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 s = this , r = jB . alea ( t || w . now ( ) . toString ( ) ) ; return ls ( async ( ) => { let a = r . int32 ( ) ; return n && ( a += r . int32 ( ) ) , ( await s . 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 , ls ( async ( ) => ( await t . iterator ( ) ) . take ( e ) , n ) } async toArray ( ) { if ( this . size === 1 / 0 ) throw new Error ( "Can not convert infinite data stream to array." ) ; return ( await this . iterator ( ) ) . toArray ( ) } async toArrayForTest ( ) { if ( this . size === 1 / 0 ) throw new Error ( "Can not convert infinite data stream to array." ) ; return ( await this . iterator ( ) ) . toArrayForTest ( ) } } ; vu . MAX _BUFFER _SIZE = 1e4 ; function ls ( e , t = null ) { return new class extends vu { constructor ( ) { super ( ... arguments ) ; this . size = t } async iterator ( ) { return e ( ) } } } function fW ( e ) { return ls ( async ( ) => n7 ( e ) , e . length ) } function mW ( e ) { if ( ! bu ( e ) ) throw new Error ( "The argument to zip() must be an object or array." ) ; let t ; if ( Array . isArray ( e ) ) for ( let n = 0 ; n < e . length ; n ++ ) t = t == null ? e [ n ] . size : Math . min ( t , e [ n ] . size ) ; else if ( e instanceof Object ) for ( let n in e ) t = t == null ? e [ n ] . size : Math . min ( t , e [ n ] . size ) ; return ls ( async ( ) => { let n = await e7 ( e , s => { if ( s instanceof vu ) return { value : s . iterator ( ) , recurse : ! 1 } ; if ( bu ( s ) ) return { value : null , recurse : ! 0 } ; throw new Error ( "Leaves of the structure passed to zip() must be Datasets, not primitives." ) } ) ; return tW ( n , Ca . SHORTEST ) } , t ) } function gW ( e ) { if ( e === null ) return null ; let t = e [ 0 ] ; return ZB ( t ) ? { value : AW ( e ) , recurse : ! 1 } : { value : null , recurse : ! 0 } } function AW ( e ) { if ( e . length === 0 ) throw new Error ( "Can't make a batch of zero elements." ) ; return e [ 0 ] instanceof He ? yn ( e ) : ln ( e ) } var o7 = class extends vu { constructor ( e ) { super ( ) ; this . input = e } async iterator ( ) { return ( await this . input . iterator ( ) ) . decodeUTF8 ( ) . split ( `
2021-09-28 19:48:29 +02:00
` ).map(s=>(s.endsWith(" \r ")&&(s=s.slice(0,-1)),s))}},Xf='"',vd=Symbol("out"),i7=Symbol("field"),Kf=Symbol("quote"),r2=Symbol("quoteafterquote"),l7=Symbol("quoteinquote"),u7=class extends vu{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 o7(e),t||(t={}),this.hasHeader=t.hasHeader!==!1,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(w.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&&w.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((s,r)=>(s[r]=s[r]+1||1,s),{}),n=Object.keys(t).filter(s=>t[s]>1);if(w.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let s of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(s)===-1)throw new Error('The key "'+s+'" 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={},s={};for(let r=0;r<this.fullColumnNames.length;r++){let a=this.fullColumnNames[r],o=this.columnConfigs?this.columnConfigs[a]:null;if(!(this.configuredColumnsOnly&&!o)){let i=t[r],l=null;if(i==="")if(o&&o.default!==void 0)l=o.default;else{if(o&&(o.required||o.isLabel))throw new Error( ` Required column $ { a } is empty in this line : $ { e } ` );l=void 0}else{let u=Number(i);if(isNaN(u))o&&o.dtype==="bool"?l=this.getBoolean(i):l=i;else if(!o||!o.dtype)l=u;else switch(o.dtype){case"float32":l=u;break;case"int32":l=Math.floor(u);break;case"bool":l=this.getBoolean(i);break;default:l=u}}o&&o.isLabel?s[a]=l:n[a]=l}}return Object.keys(s).length===0?n:{xs:n,ys:s}}getBoolean(e){return e==="1"||e.toLowerCase()==="true"?1:0}parseRow(e,t=!0){let n=[],s=0,r=e.length,a=vd;for(let o=0;o<r;o++)switch(a){case vd:switch(e.charAt(o)){case Xf:s=o+1,a=Kf;break;case this.delimiter:if(s=o+1,this.delimiter===" "&&this.delimWhitespace)break;n.push(""),a=vd;break;default:a=i7,s=o;break}break;case i7:switch(e.charAt(o)){case this.delimiter:n.push(e.substring(s,o)),a=vd,s=o+1;break;default:}break;case Kf:switch(e.charAt(o)){case Xf:a=r2;break;default:}break;case r2:switch(e.charAt(o)){case this.delimiter:n.push(e.substring(s,o-1)),a=vd,s=o+1;break;case Xf:a=Kf;break;default:a=l7;break}break;case l7:switch(e.charAt(o)){case Xf:a=Kf;break;default:}break;default:}if(a===r2?n.push(e.substring(s,r-1)):n.push(e.substring(s)),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}},c7=class extends dn{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( ` Invalid fftSi
2021-09-11 16:29:31 +02:00
=== === === === === === === === === =
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.
2021-09-28 19:48:29 +02:00
=== === === === === === === === === = ` ));let s={id:this.nextDataId()};return this.data.set(s,{values:e,dtype:n,refCount:1}),s}makeTensorInfo(e,t,n){let s;if(t==="string"&&n!=null&&n.length>0&&w.isString(n[0])){let r=n.map(a=>w.encodeString(a));s=this.write(r,e,t)}else s=this.write(n,e,t);return{dataId:s,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,s,r){this.data.set(e,{values:t,dtype:s,refCount:r})}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 s=this.readSync(n.real.dataId),r=this.readSync(n.imag.dataId);return _.mergeRealAndImagArrays(s,r)}return this.data.get(e).values}bufferSync(e){let t=this.readSync(e.dataId),n=t;if(e.dtype==="string")try{n=t.map(s=>w.decodeString(s))}catch(s){throw new Error("Failed to decode encoded string bytes into utf-8")}return Ge(e.shape,e.dtype,n)}makeOutput(e,t,n){let s=this.write(e,t,n);return Qn().makeTensorFromDataId(s,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=w.now();return e(),{kernelMs:w.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){Se([e],"where");let t=this.readSync(e.dataId);return DW(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};a2.nextDataId=0;var y7={};Le(y7,{addImpl:()=>b7,bincountImpl:()=>i2,bincountReduceImpl:()=>v7,ceilImpl:()=>w7,concatImpl:()=>l2,equalImpl:()=>k7,expImpl:()=>S7,expm1Impl:()=>T7,floorImpl:()=>N7,gatherNdImpl:()=>E7,gatherV2Impl:()=>R7,greaterEqualImpl:()=>_7,greaterImpl:()=>D7,lessEqualImpl:()=>F7,lessImpl:()=> $ 7,linSpaceImpl:()=>O7,logImpl:()=>P7,maxImpl:()=>M7,maximumImpl:()=>z7,minimumImpl:()=>L7,multiplyImpl:()=>u2,negImpl:()=>B7,notEqualImpl:()=>W7,prodImpl:()=>V7,rangeImpl:()=>d2,rsqrtImpl:()=>U7,sigmoidImpl:()=>xV,simpleAbsImpl:()=>x7,sliceImpl:()=>Jf,sparseFillEmptyRowsImpl:()=>G7,sparseReshapeImpl:()=>j7,sparseSegmentReductionImpl:()=>p2,sqrtImpl:()=>wV,squaredDifferenceImpl:()=>q7,stridedSliceImpl:()=>X7,stringNGramsImpl:()=>K7,stringSplitImpl:()=>Z7,stringToHashBucketFastImpl:()=>Y7,subImpl:()=>J7,tileImpl:()=>Q7,topKImpl:()=>t6,transposeImpl:()=>c2,uniqueImpl:()=>n6});function x7(e){let t=new Float32Array(e.length);for(let n=0;n<e.length;++n)t[n]=Math.abs(e[n]);return t}var _W=e=>{let{x:t}=e.inputs,n=e.backend;Se(t,"abs");let s=new Float32Array(w.sizeFromShape(t.shape)),r=n.data.get(t.dataId).values;return s=x7(r),n.makeOutput(s,t.shape,"float32")}, $ W={kernelName:Gi,backendName:"cpu",kernelFunc:_W};function Gt(e){return(t,n,s,r,a)=>{let o=_.assertAndGetBroadcastShape(t,n),i=o.length,l=w.computeStrides(o),u=w.sizeFromShape(o),c=w.getTypedArrayFromDType(a,u),d=t.length,p=n.length,h=w.computeStrides(t),f=w.computeStrides(n),m=_.getBroadcastDims(t,o),g=_.getBroadcastDims(n,o);if(m.length+g.length===0)for(let A=0;A<c.length;++A)c[A]=e(s[A%s.length],r[A%r.length]);else for(let A=0;A<c.length;++A){let y=w.indexToLoc(A,i,l),x=y.slice(-d);m.forEach(S=>x[S]=0);let b=w.locToIndex(x,d,h),v=y.slice(-p);g.forEach(S=>v[S]=0);let k=w.locToIndex(v,p,f);c[A]=e(s[b],r[k])}return[c,o]}}function us(e){let{inputs:t,backend:n}=e,{real:s,imag:r}=t,a=n.data.get(s.dataId).values,o=n.data.get(r.dataId).values,i=n.makeTensorInfo(s.shape,"complex64"),l=n.data.get(i.dataId);return l.complexTensorInfos={real:n.makeTensorInfo(s.shape,"float32",a),imag:n.makeTensorInfo(r.shape,"float32",o)},i}var FW={kernelName: $ p,backendName:"cpu",kernelFunc:us};function Zf(e,t,n="float32"){if(n==="complex64"){let r=Zf(e,t,"float32"),a=Zf(e,t,"float32
2021-09-28 18:01:48 +02:00
indices . shape [ 0 ] = $ { i } ` );let g=w.getArrayFromDType(n,0),A=w.getArrayFromDType(r,0);return[g,[0,d],A,u,c]}let p=!0,h=0,f=new Array(l).fill(0);for(let g=0;g<i;++g){let A=e[g*d];if(A<0)throw new Error( ` indices ( $ { g } , 0 ) is invalid : $ { A } < 0 ` );if(A>=l)throw new Error( ` indices ( $ { g } , 0 ) is invalid : $ { A } >= $ { l } ` );++f[A],p=p&&A>=h,h=A}let m=!0;for(let g=0;g<l;++g){let A=f[g]===0;u[g]=A,m=m&&!A,f[g]=Math.max(f[g],1),g>0&&(f[g]+=f[g-1])}if(m&&p){let g=e,A=s;for(let y=0;y<i;++y)c[y]=y;return[g,[i,d],A,u,c]}else{let g=f[l-1],A=w.getArrayFromDType(n,g*d),y=w.getArrayFromDType(r,g),x=new Array(l).fill(0);for(let b=0;b<i;++b){let v=e[b*d],k=x[v],S=(v===0?0:f[v-1])+k;x[v]++;for(let C=0;C<d;++C)A[S*d+C]=e[b*d+C];y[S]=s[b],c[b]=S}for(let b=0;b<l;++b)if(x[b]===0){let k=b===0?0:f[b-1];A[k*d+0]=b;for(let S=1;S<d;++S)A[k*d+S]=0;y[k]=o}return[A,[g,d],y,u,c]}}function j7(e,t,n,s,r){let a=w.sizeFromShape(s),o=t[0],i=r.length,l=[],u=1,c=-1;for(let g=0;g<i;++g){let A=r[g];if(A===-1){if(c!==-1)throw new Error( ` only one output dimension may be - 1 , not both $ { c } and $ { g } ` );c=g,l.push(1)}else{if(A<0)throw new Error( ` size $ { g } must be non - negative , not $ { A } ` );u*=A,l.push(A)}}if(c!==-1){if(u<=0)throw new Error("reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero");let g=Math.trunc(a/u);if(u*g!==a)throw new Error( ` Input to reshape is a SparseTensor with $ { a }
2021-09-28 19:48:29 +02:00
dense values , but the requested shape requires a multiple of $ { u } . inputShape = $ { s } outputShape = $ { l } ` );l[c]=g}let d=w.sizeFromShape(l);if(d!==a)throw new Error( ` Input to reshape is a tensor with $ { a } dense values , but the requested shape has $ { d } . inputShape = $ { s } outputShape = $ { l } ` );let p=s.length,h=[];if(p>0){h[p-1]=1;for(let g=p-2;g>=0;--g)h[g]=h[g+1]*s[g+1]}let f=[];if(i>0){f[i-1]=1;for(let g=i-2;g>=0;--g)f[g]=f[g+1]*l[g+1]}let m=w.getArrayFromDType(n,o*i);for(let g=0;g<o;++g){let A=0;for(let y=0;y<p;++y)A+=e[g*p+y]*h[y];for(let y=0;y<i;++y)m[g*i+y]=Math.trunc(A/f[y]),A%=f[y]}return[m,[o,i],l]}function p2(e,t,n,s,r,a=!1,o=0){let i=s.length;if(i!==r.length)throw new Error("segmentIds and indices should have same size.");let l=[t[0],e.length/t[0]],u=l[1],d=i>0?r[i-1]+1:0;if(d<0)throw new Error("segment ids must be >= 0");let p=t.slice();p[0]=d;let h=p.reduce((x,b)=>x*b,1),f=w.getArrayFromDType(n,h);if(i===0)return d>0&&f.fill(o),[f,p];if(d<=0)throw new Error("segment ids must be >= 0");let m=0,g=1,A=0,y=r[m];for(;;){let x=0;if(g<i){if(x=r[g],y===x){++g;continue}if(y>=x)throw new Error("segment ids are not increasing")}if(y<0||y>=d)throw new Error( ` Segment id $ { y } out of range [ 0 , $ { d } ) , possibly because segmentIds input is not sorted . ` );y>A&&f.fill(o,A*u,y*u);for(let b=m;b<g;++b){let v=s[b];if(v<0||v>=l[0])throw new Error( ` Bad : indices [ $ { b } ] == $ { s [ b ] } out of range [ 0 , $ { l [ 0 ] } ) ` );for(let k=0;k<u;k++)f[y*u+k]+=e[v*u+k]}if(a)for(let b=0;b<u;b++)f[y*u+b]/=g-m;if(m=g,++g,A=y+1,y=x,g>i)break}return A<d&&f.fill(o,A*u,d*u),[f,p]}var wV=Na(e=>Math.sqrt(e)),kV=pt( $ o,e=>Math.sqrt(e)),IV={kernelName: $ o,backendName:"cpu",kernelFunc:kV},q7=Gt((e,t)=>{let n=e-t;return n*n}),SV=pn(Po,q7),CV={kernelName:Po,backendName:"cpu",kernelFunc:SV};function X7(e,t,n,s){let r=Ge(e,t.dtype);for(let a=0;a<r.size;a++){let o=r.indexToLoc(a),i=new Array(o.length);for(let l=0;l<i.length;l++)i[l]=o[l]*n[l]+s[l];r.set(t.get(...i),...o)}return r}var TV=class{constructor(e,t,n,s,r,a){this.separator=w.encodeString(e),this.nGramWidths=t,this.leftPad=w.encodeString(n),this.rightPad=w.encodeString(s),this.padWidth=r,this.preserveShort=a}getPadWidth(e){return Math.min(this.padWidth<0?e-1:this.padWidth,e-1)}getNumNGrams(e,t){let n=this.getPadWidth(t);return Math.max(0,e+2*n-t+1)}createNGrams(e,t,n,s,r,a){for(let o=0;o<r;++o){let i=this.getPadWidth(a),l=Math.max(0,i-o),u=Math.max(0,i-(r-(o+1))),c=a-(l+u),d=t+(l>0?0:o-i),p=0;p+=l*this.leftPad.length;for(let A=0;A<c;++A)p+=e[d+A].length;p+=u*this.rightPad.length,p+=(l+u+c-1)*this.separator.length,n[s+o]=new Uint8Array(p);let f=n[s+o],m=0,g=A=>A.forEach(y=>f[m++]=y);for(let A=0;A<l;++A)g(this.leftPad),g(this.separator);for(let A=0;A<c-1;++A)g(e[d+A]),g(this.separator);if(c>0){g(e[d+c-1]);for(let A=0;A<u;++A)g(this.separator),g(this.rightPad)}else{for(let A=0;A<u-1;++A)g(this.rightPad),g(this.separator);g(this.rightPad)}}}compute(e,t){let n=e.length,s=t.length;if(s>0){let i=t[0];if(i!==0)throw new Error( ` First split value must be 0 , got $ { i } ` );for(let l=1;l<s;++l){let u=t[l]>=i;if(u=u&&t[l]<=n,!u)throw new Error( ` Invalid split value $ { t [ l ] } , must be in [ $ { i } , $ { n } ] ` );i=t[l]}if(i!==n)throw new Error( ` Last split value must be data size . Expected $ { n } , got $ { i } ` )}let r=s-1,a=w.getArrayFromDType("int32",s);if(n===0||s===0){let i=new Array(n);for(let l=0;l<=r;++l)a[l]=0;return[i,a]}a[0]=0;for(let i=1;i<=r;++i){let l=t[i]-t[i-1],u=0;this.nGramWidths.forEach(c=>{u+=this.getNumNGrams(l,c)}),this.preserveShort&&l>0&&u===0&&(u=1),a[i]=a[i-1]+u}let o=new Array(a[r]);for(let i=0;i<r;++i){let l=t[i],u=a[i];if(this.nGramWidths.forEach(c=>{let d=t[i+1]-t[i],p=this.getNumNGrams(d,c);this.createNGrams(e,l,o,u,p,c),u+=p}),this.preserveShort&&u===a[i]){let c=t[i+1]-t[i];if(c===0)continue;let d=c+2*this.padWidth,p=1;this.createNGrams(e,l,o,u,p,d)}}return[o,a]}};function K7(e,t,n,s,r,a,o,i){return new TV(n,s,r,a,o,i).compute(e,t)}function NV(e,t,n,s){if(!e.length)return;if(t.length===0){for(let a=0;a<e.length;++a)s.push(e.subarray(a,a+1));return}if(t.length===1){let a=t[0],o=e.indexOf(a);for(;o!==-1;){let i=e.subarray(0,o);(!n|
2021-09-11 17:17:13 +02:00
$ { a . shape } ` );if(s.shape.length!==2)throw new Error( ` Indices must be a matrix , saw :
$ { s . shape } ` );if(r.shape.length!==1)throw new Error( ` Values must be a vector , saw :
$ { r . shape } ` );if(o.shape.length!==0)throw new Error( ` Default value must be a scalar , saw :
2021-09-28 18:01:48 +02:00
$ { o . shape } ` );let i=n.data.get(s.dataId).values,l=n.data.get(r.dataId).values,u=n.data.get(a.dataId).values,c=n.data.get(o.dataId).values[0],[d,p,h,f,m]=G7(i,s.shape,s.dtype,l,r.dtype,u,c);return[n.makeTensorInfo(p,s.dtype,d),n.makeTensorInfo([p[0]],r.dtype,h),n.makeTensorInfo([f.length],"bool",new Uint8Array(f.map(g=>Number(g)))),n.makeTensorInfo([m.length],s.dtype,new Int32Array(m))]}var Uj={kernelName:sh,backendName:"cpu",kernelFunc:Vj};function Hj(e){let{inputs:t,backend:n}=e,{inputIndices:s,inputShape:r,newShape:a}=t;if(s.shape.length!==2)throw new Error( ` Input indices should be a matrix but received shape
2021-09-11 17:17:13 +02:00
$ { s . shape } ` );if(r.shape.length!==1)throw new Error( ` Input shape should be a vector but received shape
2021-09-28 18:01:48 +02:00
$ { r . shape } ` );if(a.shape.length!==1)throw new Error( ` Target shape should be a vector but received shape $ { a . shape } ` );let o=Array.from(n.data.get(r.dataId).values),i=n.data.get(s.dataId).values,l=Array.from(n.data.get(a.dataId).values),[u,c,d]=j7(i,s.shape,s.dtype,o,l);return[n.makeTensorInfo(c,s.dtype,u),n.makeTensorInfo([d.length],a.dtype,new Int32Array(d))]}var Gj={kernelName:rh,backendName:"cpu",kernelFunc:Hj};function jj(e){let{inputs:t,backend:n}=e,{data:s,indices:r,segmentIds:a}=t;if(s.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error( ` Indices should be a vector but received shape
2021-09-11 17:17:13 +02:00
$ { r . shape } ` );if(a.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
2021-09-28 18:01:48 +02:00
$ { a . shape } ` );let o=n.data.get(s.dataId).values,i=n.data.get(r.dataId).values,l=n.data.get(a.dataId).values,[u,c]=p2(o,s.shape,s.dtype,i,l,!0);return n.makeTensorInfo(c,s.dtype,u)}var qj={kernelName:ah,backendName:"cpu",kernelFunc:jj};function Xj(e){let{inputs:t,backend:n}=e,{data:s,indices:r,segmentIds:a}=t;if(s.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error( ` Indices should be a vector but received shape
2021-09-11 17:17:13 +02:00
$ { r . shape } ` );if(a.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
2021-09-28 19:48:29 +02:00
$ { a . shape } ` );let o=n.data.get(s.dataId).values,i=n.data.get(r.dataId).values,l=n.data.get(a.dataId).values,[u,c]=p2(o,s.shape,s.dtype,i,l);return n.makeTensorInfo(c,s.dtype,u)}var Kj={kernelName:oh,backendName:"cpu",kernelFunc:Xj};function Zj(e){let{inputs:t,backend:n,attrs:s}=e,{sparseIndices:r,sparseValues:a,defaultValue:o}=t,{outputShape:i}=s,{sliceRank:l,numUpdates:u,sliceSize:c,strides:d,outputSize:p}=_.calculateShapes(a,r,i),h=!1,f=n.bufferSync(r),m=n.bufferSync(a),g=n.data.get(o.dataId).values[0],A=x6(f,m,i,p,c,u,l,d,g,h);return n.makeTensorInfo(i,A.dtype,A.values)}var Yj={kernelName:ih,backendName:"cpu",kernelFunc:Zj};function Jj(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{numOrSizeSplits:a,axis:o}=s,i=w.parseAxisParam(o,r.shape)[0],l=_.prepareSplitSize(r,a,i),u=new Array(r.shape.length).fill(0),c=r.shape.slice();return l.map(d=>{let p=[...c];p[i]=d;let h=gi({inputs:{x:r},backend:n,attrs:{begin:u,size:p}});return u[i]+=d,h})}var Qj={kernelName:Ll,backendName:"cpu",kernelFunc:Jj},eq={kernelName:kc,backendName:"cpu",kernelFunc:({inputs:e,backend:t})=>{let{x:n}=e,s=t;Se(n,"square");let r=s.data.get(n.dataId).values,a=new Float32Array(r.length);for(let i=0;i<r.length;++i){let l=r[i];a[i]=l*l}return{dataId:s.write(a,n.shape,n.dtype),shape:n.shape,dtype:n.dtype}}},tq=pt(la,(e,t)=>{let n=t;return isNaN(e)?NaN:e>0?1:n.alpha}),nq={kernelName:la,backendName:"cpu",kernelFunc:tq};function sq(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{begin:a,end:o,strides:i,beginMask:l,endMask:u,ellipsisMask:c,newAxisMask:d,shrinkAxisMask:p}=s;Se(r,"stridedSlice");let{nonStrided:h, $ begin:f, $ strides:m,size:g,newShape:A,outShape:y}=Nn.sliceInfo(r.shape,a,o,i,l,u,c,d,p),x=wt({inputs:{x:r},backend:n,attrs:{shape:A}}),b;if(h){let k=gi({inputs:{x},backend:n,attrs:{begin:f,size:g}});b=wt({inputs:{x:k},backend:n,attrs:{shape:y}}),n.disposeIntermediateTensorInfo(k)}else if(y.some(k=>k===0))b=n.makeTensorInfo(y,r.dtype,[]);else{let k=n.bufferSync(x),S=X7(y,k,m,f);b=n.makeTensorInfo(S.shape,S.dtype,S.values)}let v=wt({inputs:{x:b},backend:n,attrs:{shape:y}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(b),v}var rq={kernelName:Bl,backendName:"cpu",kernelFunc:sq};function aq(e){let{inputs:t,backend:n,attrs:s}=e,{separator:r,nGramWidths:a,leftPad:o,rightPad:i,padWidth:l,preserveShortSequences:u}=s,{data:c,dataSplits:d}=t,p=n.data.get(c.dataId).values,h=n.data.get(d.dataId).values,[f,m]=K7(p,h,r,a,o,i,l,u);return[n.makeTensorInfo([f.length],"string",f),n.makeTensorInfo(d.shape,"int32",m)]}var oq={kernelName:lh,backendName:"cpu",kernelFunc:aq};function iq(e){let{inputs:t,backend:n,attrs:s}=e,{skipEmpty:r}=s,{input:a,delimiter:o}=t;if(a.dtype!=="string")throw new Error("Input must be of datatype string");if(a.shape.length!==1)throw new Error( ` Input must be a vector , got shape : $ { a . shape } ` );if(o.shape.length!==0)throw new Error( ` Delimiter must be a scalar , got shape : $ { o . shape } ` );let i=n.data.get(a.dataId).values,l=n.data.get(o.dataId).values[0],[u,c,d]=Z7(i,l,r),p=c.length;return[n.makeTensorInfo([p,2],"int32",u),n.makeTensorInfo([p],"string",c),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var lq={kernelName:uh,backendName:"cpu",kernelFunc:iq};function uq(e){let{inputs:t,backend:n,attrs:s}=e,{numBuckets:r}=s,{input:a}=t;if(a.dtype!=="string")throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");let o=n.data.get(a.dataId).values,i=Y7(o,r);return n.makeTensorInfo(a.shape,"int32",i)}var cq={kernelName:ch,backendName:"cpu",kernelFunc:uq},dq=pt(zo,e=>Math.tan(e)),pq={kernelName:zo,backendName:"cpu",kernelFunc:dq},hq=pt(Lo,e=>Math.tanh(e)),fq={kernelName:Lo,backendName:"cpu",kernelFunc:hq};function mq(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{reps:a}=s;Se(r,"tile");let o=Q7(n.bufferSync(r),a);return n.makeTensorInfo(o.shape,o.dtype,o.values)}var gq={kernelName:ia,backendName:"cpu",kernelFunc:mq};function Aq(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{k:a,sorted:o}=s;Se(r,"topk");let i=n.data.get(r.dataId).values,[l,u]=t6(i,r.shape,r.dtype,a,o);return
2021-09-12 18:42:17 +02:00
` ),a=r.length.toString().length+2,o=r.map((d,p)=>w.rightPad((p+1).toString(),a)+d),i=0;for(let d=0;d<o.length;d++)i=Math.max(o[d].length,i);let l=o.slice(0,s-1),u=o.slice(s-1,s),c=o.slice(s);console.log(l.join( `
2021-09-11 16:29:31 +02:00
` )),console.log(t.split( `
2021-09-11 17:17:13 +02:00
` )[0]),console.log( ` % c $ { w . rightPad ( u [ 0 ] , i ) } ` ,"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(c.join( `
2021-09-28 19:48:29 +02:00
` ))}function T6(e){return Gr(e,()=>e.createProgram(),"Unable to create WebGLProgram.")}function N6(e,t){if(ke(e,()=>e.linkProgram(t)),e.getProgramParameter(t,e.LINK_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}function s0(e,t){if(ke(e,()=>e.validateProgram(t)),e.getProgramParameter(t,e.VALIDATE_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function E6(e,t){let n=Gr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return ke(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),ke(e,()=>e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function R6(e,t){let n=Gr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return ke(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)),ke(e,()=>e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function Uq(){return Y().getNumber("WEBGL_VERSION")===2?1:4}function D6(e){return Gr(e,()=>e.createTexture(),"Unable to create WebGLTexture.")}function _6(e,t){let n=Y().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0){let s= ` [ $ { e } x$ { t } ] ` ;throw new Error("Requested texture size "+s+" is invalid.")}if(e>n||t>n){let s= ` [ $ { e } x$ { t } ] ` ,r= ` [ $ { n } x$ { n } ] ` ;throw new Error("Requested texture size "+s+" greater than WebGL maximum on this browser / GPU "+r+".")}}function $ 6(e){return Gr(e,()=>e.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function w2(e,t,n,s,r,a,o){let i=e.getAttribLocation(t,n);return i===-1?!1:(ke(e,()=>e.bindBuffer(e.ARRAY_BUFFER,s)),ke(e,()=>e.vertexAttribPointer(i,r,e.FLOAT,!1,a,o)),ke(e,()=>e.enableVertexAttribArray(i)),!0)}function F6(e,t,n){L6(e,n),ke(e,()=>e.activeTexture(e.TEXTURE0+n)),ke(e,()=>e.bindTexture(e.TEXTURE_2D,t))}function Hq(e,t){L6(e,t),ke(e,()=>e.activeTexture(e.TEXTURE0+t)),ke(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function O6(e,t,n){return Gr(e,()=>e.getUniformLocation(t,n),'uniform "'+n+'" not present in program.')}function P6(e,t,n){return e.getUniformLocation(t,n)}function M6(e,t,n,s){ke(e,()=>F6(e,t,s)),ke(e,()=>e.uniform1i(n,s))}function Gq(e){ke(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),ke(e,()=>e.viewport(0,0,e.canvas.width,e.canvas.height)),ke(e,()=>e.scissor(0,0,e.canvas.width,e.canvas.height))}function r0(e,t,n){ke(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,n)),ke(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0))}function k2(e,t){ke(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,t)),ke(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0))}function Ed(e){let t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+z6(e,t))}function z6(e,t){switch(t){case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case e.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return ` unknown error $ { t } ` }}function Gr(e,t,n){let s=ke(e,()=>t());if(s==null)throw new Error(n);return s}function L6(e,t){let n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,s=t+e.TEXTURE0;if(s<e.TEXTURE0||s>n){let r= ` [ gl . TEXTURE0 , gl . TEXTURE$ { n } ] ` ;throw new Error( ` textureUnit must be in $ { r } . ` )}}function yi(e,t=2){return w.sizeFromShape(e.slice(0,e.length-t))}function xi(e){if(e.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[e.length>1?e[e.length-2]:1,e[e.length-1]]}function a0(e){let t=[1,1,1];return e.length===0||e.length===1&&e[0]===1||(t=[yi(e),...xi(e)]),t}function B6(e,t=!1){let n=Y().getNumber("WEBGL_MAX_TEXTURE_SIZE");t&&(n=n*2,e=e.map((r,a)=>a>=e.length-2?w.nearestLargerEven(e[a]):e[a]),e.length===1&&(e=[2,e[0]])),e.length!==2&&(e=w.squeezeShape(e).newShape);let s=w.sizeFromShape(e);if(e.length<=1&&s<=n)return[1,s];if(e.length===2&&e[0]<=n&&e[1]<=n)return e;if(e.length===3&&e[0]*e[1]<=n&&e[2]<=n)return[e[0]*e[1],e[2]];if(e.length===3&&e[0]<=n&&e[1]*e[2]<=n)return[e[0],e[1]*e[2]];if(e.length===4&&e[0]*e[1]
2021-09-11 16:29:31 +02:00
bool isnan _custom ( float val ) {
return ( val > 0.0 || val < 0.0 ) ? false : val != 0.0 ;
}
bvec4 isnan _custom ( vec4 val ) {
return bvec4 ( isnan _custom ( val . x ) ,
isnan _custom ( val . y ) , isnan _custom ( val . z ) , isnan _custom ( val . w ) ) ;
}
# define isnan ( value ) isnan _custom ( value )
` ,l="",u= `
# define round ( value ) newRound ( value )
int newRound ( float value ) {
return int ( floor ( value + 0.5 ) ) ;
}
ivec4 newRound ( vec4 value ) {
return ivec4 ( floor ( value + vec4 ( 0.5 ) ) ) ;
}
2021-09-11 17:17:13 +02:00
` ):(e="",t="attribute",n="varying",s="varying",r="texture2D",a="gl_FragColor",o="",i= `
2021-09-11 16:29:31 +02:00
# define isnan ( value ) isnan _custom ( value )
bool isnan _custom ( float val ) {
return ( val > 0. || val < 1. || val == 0. ) ? false : true ;
}
bvec4 isnan _custom ( vec4 val ) {
return bvec4 ( isnan ( val . x ) , isnan ( val . y ) , isnan ( val . z ) , isnan ( val . w ) ) ;
}
` ,l= `
uniform float INFINITY ;
bool isinf ( float val ) {
return abs ( val ) == INFINITY ;
}
bvec4 isinf ( vec4 val ) {
return equal ( abs ( val ) , vec4 ( INFINITY ) ) ;
}
` ,u= `
int round ( float value ) {
return int ( floor ( value + 0.5 ) ) ;
}
2021-07-29 22:35:16 +02:00
2021-09-11 16:29:31 +02:00
ivec4 round ( vec4 value ) {
return ivec4 ( floor ( value + vec4 ( 0.5 ) ) ) ;
}
2021-09-28 18:01:48 +02:00
` ),{version:e,attribute:t,varyingVs:n,varyingFs:s,texture2D:r,output:a,defineOutput:o,defineSpecialNaN:i,defineSpecialInf:l,defineRound:u}}function bi(e,t,n="index"){let s=w.computeStrides(t);return s.map((r,a)=>{let o= ` int $ { e [ a ] } = $ { n } / $ { r } ` ,i=a===s.length-1? ` int $ { e [ a + 1 ] } = $ { n } - $ { e [ a ] } * $ { r } ` : ` index -= $ { e [ a ] } * $ { r } ` ;return ` $ { o } ; $ { i } ; ` }).join("")}function u0(e,t,n="index"){let s=w.computeStrides(t);return s.map((r,a)=>{let o= ` int $ { e [ a ] } = $ { n } / outShapeStrides [ $ { a } ] ` ,i=a===s.length-1? ` int $ { e [ a + 1 ] } = $ { n } - $ { e [ a ] } * outShapeStrides [ $ { a } ] ` : ` index -= $ { e [ a ] } * outShapeStrides [ $ { a } ] ` ;return ` $ { o } ; $ { i } ; ` }).join("")}function Kq(e,t){let n=e.length,s=e.map(a=> ` $ { t } [ $ { a } ] ` ),r=new Array(n-1);r[n-2]=s[n-1];for(let a=n-3;a>=0;--a)r[a]= ` ( $ { r [ a + 1 ] } * $ { s [ a + 1 ] } ) ` ;return r}function Zq(e,t,n="index"){let s=e.map((a,o)=>o),r=Kq(s,t);return r.map((a,o)=>{let i= ` int $ { e [ o ] } = $ { n } / $ { r [ o ] } ` ,l=o===r.length-1? ` int $ { e [ o + 1 ] } = $ { n } - $ { e [ o ] } * $ { r [ o ] } ` : ` index -= $ { e [ o ] } * $ { r [ o ] } ` ;return ` $ { i } ; $ { l } ; ` }).join("")}function C2(e){let t=w.computeStrides(e).map(n=>n.toString());return `
2021-09-11 16:29:31 +02:00
int getFlatIndex ( ivec3 coords ) {
return coords . x * $ { t [ 0 ] } + coords . y * $ { t [ 1 ] } + coords . z ;
2021-08-14 17:16:26 +02:00
}
2021-09-28 18:01:48 +02:00
` }function T2(){return `
2021-09-11 16:29:31 +02:00
int getFlatIndex ( ivec3 coords ) {
return coords . x * outShapeStrides [ 0 ] + coords . y * outShapeStrides [ 1 ] + coords . z ;
2021-08-31 19:00:06 +02:00
}
2021-09-28 18:01:48 +02:00
` }var q6= `
2021-09-11 16:29:31 +02:00
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 ) ;
}
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 ;
}
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 ;
2021-08-14 17:17:51 +02:00
}
2021-09-28 18:01:48 +02:00
` ,{getBroadcastDims:X6}=_;function Yq(e,t,n){let s=[];if(e.forEach(h=>{let f=w.sizeFromShape(h.shapeInfo.logicalShape);if(h.shapeInfo.isUniform?s.push( ` uniform float $ { h . name } $ { f > 1 ? ` [ ${ f } ] ` : "" } ; ` ):(s.push( ` uniform sampler2D $ { h . name } ; ` ),s.push( ` uniform int offset$ { h . name } ; ` )),n.enableShapeUniforms){let{uniformShape:m}=N2(n.packedInputs,h.shapeInfo.logicalShape,h.shapeInfo.texShape);switch(m.length){case 1:s.push( ` uniform int $ { h . name } Shape ; ` );break;case 2:s.push( ` uniform ivec2 $ { h . name } Shape ; ` );break;case 3:s.push( ` uniform ivec3 $ { h . name } Shape ; ` );break;case 4:s.push( ` uniform ivec4 $ { h . name } Shape ; ` );break;default:break}s.push( ` uniform ivec2 $ { h . name } TexShape ; ` )}}),n.enableShapeUniforms){switch(t.logicalShape.length){case 1:s.push("uniform int outShape;");break;case 2:s.push("uniform ivec2 outShape;"),s.push("uniform int outShapeStrides;");break;case 3:s.push("uniform ivec3 outShape;"),s.push("uniform ivec2 outShapeStrides;");break;case 4:s.push("uniform ivec4 outShape;"),s.push("uniform ivec3 outShapeStrides;");break;default:break}s.push("uniform ivec2 outTexShape;")}n.customUniforms&&n.customUniforms.forEach(h=>{s.push( ` uniform $ { h . type } $ { h . name } $ { h . arrayIndex ? ` [ ${ h . arrayIndex } ] ` : "" } ; ` )});let r=s.join( `
` ),a=e.map(h=>Jq(h,t,n.packedInputs,n.enableShapeUniforms)).join( `
` ),o=t.texShape,i=_n(),l=tX(i),u,c,d=rX(i);return t.isPacked?(u=Qq(t.logicalShape,o,n.enableShapeUniforms),c=sX(i)):(u=eX(t.logicalShape,o,n.enableShapeUniforms),c=nX(i)),n.packedInputs&&(d+=lX),[d,l,c,r,u,a,n.userCode].join( `
` )}function Tu(e,t=!1){let n=e.shapeInfo.logicalShape;switch(n.length){case 0:return bX(e,t);case 1:return wX(e,t);case 2:return IX(e,t);case 3:return CX(e,t);case 4:return NX(e,t);case 5:return EX(e);case 6:return RX(e);default:throw new Error( ` $ { n . length } - D input sampling is not yet supported ` )}}function K6(e,t){switch(e.shapeInfo.logicalShape.length){case 0:return xX(e);case 1:return vX(e,t);case 2:return kX(e,t);case 3:return SX(e,t);default:return TX(e,t)}}function Jq(e,t,n=!1,s){let r="";n?r+=K6(e,s):r+=Tu(e,s);let a=e.shapeInfo.logicalShape,o=t.logicalShape;return a.length<=o.length&&(n?r+=DX(e,t):r+=_X(e,t)),r}function Qq(e,t,n){switch(e.length){case 0:return Z6();case 1:return uX(e,t,n);case 2:return AX(e,t,n);case 3:return dX(e,t,n);default:return hX(e,t,n)}}function eX(e,t,n){switch(e.length){case 0:return Z6();case 1:return cX(e,t,n);case 2:return yX(e,t,n);case 3:return pX(e,t,n);case 4:return fX(e,t,n);case 5:return mX(e,t);case 6:return gX(e,t);default:throw new Error( ` $ { e . length } - D output sampling is not yet supported ` )}}function tX(e){return `
2021-09-11 16:29:31 +02:00
float sampleTexture ( sampler2D textureSampler , vec2 uv ) {
return $ { e . texture2D } ( textureSampler , uv ) . r ;
}
2021-09-28 18:01:48 +02:00
` }function nX(e){return `
2021-09-11 16:29:31 +02:00
void setOutput ( float val ) {
$ { e . output } = vec4 ( val , 0 , 0 , 0 ) ;
}
2021-09-28 18:01:48 +02:00
` }function sX(e){return `
2021-09-11 16:29:31 +02:00
void setOutput ( vec4 val ) {
$ { e . output } = val ;
}
2021-09-28 18:01:48 +02:00
` }function rX(e){return ` $ { e . version }
2021-09-11 16:29:31 +02:00
precision highp float ;
precision highp int ;
precision highp sampler2D ;
$ { e . varyingFs } vec2 resultUV ;
$ { e . defineOutput }
const vec2 halfCR = vec2 ( 0.5 , 0.5 ) ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
struct ivec5
{
int x ;
int y ;
int z ;
int w ;
int u ;
} ;
struct ivec6
{
int x ;
int y ;
int z ;
int w ;
int u ;
int v ;
} ;
uniform float NAN ;
$ { e . defineSpecialNaN }
$ { e . defineSpecialInf }
$ { e . defineRound }
int imod ( int x , int y ) {
return x - y * ( x / y ) ;
2021-09-01 00:24:30 +02:00
}
2021-09-11 16:29:31 +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 ;
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +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 ) ;
2021-06-05 21:10:28 +02:00
}
2021-09-05 22:42:11 +02:00
2021-09-28 18:01:48 +02:00
$ { aX }
$ { oX }
$ { iX }
` }var aX= `
2021-09-11 16:29:31 +02:00
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 ) ;
}
2021-09-28 18:01:48 +02:00
` ,oX= `
2021-09-11 16:29:31 +02:00
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 ) ;
}
2021-09-28 18:01:48 +02:00
` ,iX= `
2021-09-11 16:29:31 +02:00
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 ) ;
}
2021-09-28 18:01:48 +02:00
` ,lX= `
2021-09-11 16:29:31 +02:00
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 ;
}
2021-09-28 18:01:48 +02:00
` ;function Z6(){return `
2021-09-11 16:29:31 +02:00
int getOutputCoords ( ) {
return 0 ;
2021-06-05 21:10:28 +02:00
}
2021-09-28 18:01:48 +02:00
` }function uX(e,t,n){let s=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return s[0]===1?n? `
2021-09-11 16:29:31 +02:00
int getOutputCoords ( ) {
return 2 * int ( resultUV . x * ceil ( float ( outTexShape [ 1 ] ) / 2.0 ) ) ;
2021-08-14 17:17:51 +02:00
}
2021-09-11 16:29:31 +02:00
` : `
int getOutputCoords ( ) {
2021-09-11 17:17:13 +02:00
return 2 * int ( resultUV . x * $ { s [ 1 ] } . 0 ) ;
2021-08-14 17:17:51 +02:00
}
2021-09-11 17:17:13 +02:00
` :s[1]===1?n? `
2021-09-11 16:29:31 +02:00
int getOutputCoords ( ) {
return 2 * int ( resultUV . y * ceil ( float ( outTexShape [ 0 ] ) / 2.0 ) ) ;
2021-08-14 17:17:51 +02:00
}
2021-09-11 16:29:31 +02:00
` : `
int getOutputCoords ( ) {
2021-09-11 17:17:13 +02:00
return 2 * int ( resultUV . y * $ { s [ 0 ] } . 0 ) ;
2021-08-14 17:17:51 +02:00
}
2021-09-11 16:29:31 +02:00
` :n? `
int getOutputCoords ( ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( outTexShape [ 0 ] ) / 2.0 ) , ceil ( float ( outTexShape [ 1 ] ) / 2.0 ) ) ;
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( packedTexShape [ 0 ] , packedTexShape [ 1 ] ) ) ;
return 2 * ( resTexRC . x * packedTexShape [ 1 ] + resTexRC . y ) ;
}
` : `
int getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
2021-09-11 17:17:13 +02:00
vec2 ( $ { s [ 0 ] } , $ { s [ 1 ] } ) ) ;
return 2 * ( resTexRC . x * $ { s [ 1 ] } + resTexRC . y ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-28 18:01:48 +02:00
` }function cX(e,t,n){return t[0]===1?n? `
2021-09-11 16:29:31 +02:00
int getOutputCoords ( ) {
return int ( resultUV . x * float ( outTexShape [ 1 ] ) ) ;
2021-08-14 17:17:51 +02:00
}
2021-09-11 16:29:31 +02:00
` : `
int getOutputCoords ( ) {
return int ( resultUV . x * $ { t [ 1 ] } . 0 ) ;
2021-08-14 17:17:51 +02:00
}
2021-09-11 16:29:31 +02:00
` :t[1]===1?n? `
int getOutputCoords ( ) {
return int ( resultUV . y * float ( outTexShape [ 0 ] ) ) ;
2021-08-14 17:17:51 +02:00
}
2021-09-11 16:29:31 +02:00
` : `
int getOutputCoords ( ) {
return int ( resultUV . y * $ { t [ 0 ] } . 0 ) ;
2021-08-14 17:17:51 +02:00
}
2021-09-11 16:29:31 +02:00
` :n? `
int getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( outTexShape [ 0 ] , outTexShape [ 1 ] ) ) ;
return resTexRC . x * outTexShape [ 1 ] + resTexRC . y ;
2021-07-29 15:53:13 +02:00
}
2021-09-11 16:29:31 +02:00
` : `
int getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
return resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
2021-06-05 21:10:28 +02:00
}
2021-09-28 18:01:48 +02:00
` }function dX(e,t,n){if(n)return `
2021-09-11 16:29:31 +02:00
ivec3 getOutputCoords ( ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( outTexShape [ 0 ] ) / 2.0 ) , ceil ( float ( outTexShape [ 1 ] ) / 2.0 ) ) ;
int texelsInLogicalRow = int ( ceil ( float ( outShape [ 2 ] ) / 2.0 ) ) ;
int texelsInBatch = texelsInLogicalRow * int ( ceil ( float ( outShape [ 1 ] ) / 2.0 ) ) ;
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( packedTexShape [ 0 ] , packedTexShape [ 1 ] ) ) ;
int index = resTexRC . x * packedTexShape [ 1 ] + resTexRC . y ;
int b = index / texelsInBatch ;
index -= b * texelsInBatch ;
int r = 2 * ( index / texelsInLogicalRow ) ;
int c = imod ( index , texelsInLogicalRow ) * 2 ;
return ivec3 ( b , r , c ) ;
2021-06-05 21:10:28 +02:00
}
2021-09-11 17:17:13 +02:00
` ;let s=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[2]/2),a=r*Math.ceil(e[1]/2);return `
2021-09-11 16:29:31 +02:00
ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
2021-09-11 17:17:13 +02:00
vec2 ( $ { s [ 0 ] } , $ { s [ 1 ] } ) ) ;
int index = resTexRC . x * $ { s [ 1 ] } + resTexRC . y ;
2021-09-11 16:29:31 +02:00
2021-09-11 17:17:13 +02:00
int b = index / $ { a } ;
index -= b * $ { a } ;
2021-09-11 16:29:31 +02:00
int r = 2 * ( index / $ { r } ) ;
int c = imod ( index , $ { r } ) * 2 ;
return ivec3 ( b , r , c ) ;
2021-07-29 15:53:13 +02:00
}
2021-09-28 18:01:48 +02:00
` }function pX(e,t,n){if(n)return `
2021-09-11 16:29:31 +02:00
ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( outTexShape [ 0 ] , outTexShape [ 1 ] ) ) ;
int index = resTexRC . x * outTexShape [ 1 ] + resTexRC . y ;
2021-09-28 18:01:48 +02:00
$ { u0 ( [ "r" , "c" , "d" ] , e ) }
2021-09-11 16:29:31 +02:00
return ivec3 ( r , c , d ) ;
}
2021-09-28 18:01:48 +02:00
` ;let s=bi(["r","c","d"],e);return `
2021-09-11 16:29:31 +02:00
ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
2021-09-11 17:17:13 +02:00
$ { s }
2021-09-11 16:29:31 +02:00
return ivec3 ( r , c , d ) ;
2021-06-05 21:10:28 +02:00
}
2021-09-28 18:01:48 +02:00
` }function hX(e,t,n){if(n)return `
2021-09-11 16:29:31 +02:00
ivec4 getOutputCoords ( ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( outTexShape [ 0 ] ) / 2.0 ) , ceil ( float ( outTexShape [ 1 ] ) / 2.0 ) ) ;
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( packedTexShape [ 0 ] , packedTexShape [ 1 ] ) ) ;
int index = resTexRC . x * packedTexShape [ 1 ] + resTexRC . y ;
int texelsInLogicalRow = int ( ceil ( float ( outShape [ 3 ] ) / 2.0 ) ) ;
int texelsInBatch = texelsInLogicalRow * int ( ceil ( float ( outShape [ 2 ] ) / 2.0 ) ) ;
int texelsInBatchN = texelsInBatch * outShape [ 1 ] ;
int b2 = index / texelsInBatchN ;
index -= b2 * texelsInBatchN ;
int b = index / texelsInBatch ;
index -= b * texelsInBatch ;
int r = 2 * ( index / texelsInLogicalRow ) ;
int c = imod ( index , texelsInLogicalRow ) * 2 ;
return ivec4 ( b2 , b , r , c ) ;
2021-07-29 15:53:13 +02:00
}
2021-09-11 17:17:13 +02:00
` ;let s=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[e.length-1]/2),a=r*Math.ceil(e[e.length-2]/2),o=a,i="",l="b, r, c";for(let u=2;u<e.length-1;u++)o*=e[e.length-u-1],i= `
int b$ { u } = index / $ { o } ;
index -= b$ { u } * $ { o } ;
` +i,l= ` b$ { u } , ` +l;return `
2021-09-11 16:29:31 +02:00
ivec$ { e . length } getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
2021-09-11 17:17:13 +02:00
vec2 ( $ { s [ 0 ] } , $ { s [ 1 ] } ) ) ;
int index = resTexRC . x * $ { s [ 1 ] } + resTexRC . y ;
2021-09-11 16:29:31 +02:00
2021-09-11 17:17:13 +02:00
$ { i }
2021-09-11 16:29:31 +02:00
2021-09-11 17:17:13 +02:00
int b = index / $ { a } ;
index -= b * $ { a } ;
2021-09-11 16:29:31 +02:00
int r = 2 * ( index / $ { r } ) ;
int c = imod ( index , $ { r } ) * 2 ;
return ivec$ { e . length } ( $ { l } ) ;
2021-08-14 17:16:26 +02:00
}
2021-09-28 18:01:48 +02:00
` }function fX(e,t,n){if(n)return `
2021-09-11 16:29:31 +02:00
ivec4 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( outTexShape [ 0 ] , outTexShape [ 1 ] ) ) ;
int index = resTexRC . x * outTexShape [ 1 ] + resTexRC . y ;
2021-09-28 18:01:48 +02:00
$ { u0 ( [ "r" , "c" , "d" , "d2" ] , e ) }
2021-09-11 16:29:31 +02:00
return ivec4 ( r , c , d , d2 ) ;
2021-08-14 17:16:26 +02:00
}
2021-09-28 18:01:48 +02:00
` ;let s=bi(["r","c","d","d2"],e);return `
2021-09-11 16:29:31 +02:00
ivec4 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
2021-09-11 17:17:13 +02:00
$ { s }
2021-09-11 16:29:31 +02:00
return ivec4 ( r , c , d , d2 ) ;
2021-08-14 17:16:26 +02:00
}
2021-09-28 18:01:48 +02:00
` }function mX(e,t){let n=bi(["r","c","d","d2","d3"],e);return `
2021-09-11 16:29:31 +02:00
ivec5 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx * vec2 ( $ { t [ 0 ] } ,
$ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { n }
ivec5 outShape = ivec5 ( r , c , d , d2 , d3 ) ;
return outShape ;
2021-08-14 17:17:51 +02:00
}
2021-09-28 18:01:48 +02:00
` }function gX(e,t){let n=bi(["r","c","d","d2","d3","d4"],e);return `
2021-09-11 16:29:31 +02:00
ivec6 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { n }
ivec6 result = ivec6 ( r , c , d , d2 , d3 , d4 ) ;
return result ;
2021-08-14 17:16:26 +02:00
}
2021-09-28 18:01:48 +02:00
` }function AX(e,t,n){let s=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(w.arraysEqual(e,t))return n? `
2021-09-11 16:29:31 +02:00
ivec2 getOutputCoords ( ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( outTexShape [ 0 ] ) / 2.0 ) , ceil ( float ( outTexShape [ 1 ] ) / 2.0 ) ) ;
return 2 * ivec2 ( resultUV . yx * vec2 ( packedTexShape [ 0 ] , packedTexShape [ 1 ] ) ) ;
}
` : `
ivec2 getOutputCoords ( ) {
2021-09-11 17:17:13 +02:00
return 2 * ivec2 ( resultUV . yx * vec2 ( $ { s [ 0 ] } , $ { s [ 1 ] } ) ) ;
2021-09-11 16:29:31 +02:00
}
` ;let r=Math.ceil(e[1]/2);return n? `
ivec2 getOutputCoords ( ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( outTexShape [ 0 ] ) / 2.0 ) , ceil ( float ( outTexShape [ 1 ] ) / 2.0 ) ) ;
int texelsInLogicalRow = int ( ceil ( float ( outShape [ 1 ] ) / 2.0 ) ) ;
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( packedTexShape [ 0 ] , packedTexShape [ 1 ] ) ) ;
int index = resTexRC . x * packedTexShape [ 1 ] + resTexRC . y ;
int r = 2 * ( index / texelsInLogicalRow ) ;
int c = imod ( index , texelsInLogicalRow ) * 2 ;
return ivec2 ( r , c ) ;
2021-08-14 17:16:26 +02:00
}
2021-09-11 16:29:31 +02:00
` : `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
2021-09-11 17:17:13 +02:00
vec2 ( $ { s [ 0 ] } , $ { s [ 1 ] } ) ) ;
2021-09-11 16:29:31 +02:00
2021-09-11 17:17:13 +02:00
int index = resTexRC . x * $ { s [ 1 ] } + resTexRC . y ;
2021-09-11 16:29:31 +02:00
int r = 2 * ( index / $ { r } ) ;
int c = imod ( index , $ { r } ) * 2 ;
return ivec2 ( r , c ) ;
2021-08-14 17:16:26 +02:00
}
2021-09-28 18:01:48 +02:00
` }function yX(e,t,n){return w.arraysEqual(e,t)?n? `
2021-09-11 16:29:31 +02:00
ivec2 getOutputCoords ( ) {
return ivec2 ( resultUV . yx * vec2 ( outTexShape [ 0 ] , outTexShape [ 1 ] ) ) ;
}
` : `
ivec2 getOutputCoords ( ) {
return ivec2 ( resultUV . yx * vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
}
` :e[1]===1?n? `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( outTexShape [ 0 ] , outTexShape [ 1 ] ) ) ;
int index = resTexRC . x * outTexShape [ 1 ] + resTexRC . y ;
return ivec2 ( index , 0 ) ;
}
` : `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
return ivec2 ( index , 0 ) ;
}
` :e[0]===1?n? `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( outTexShape [ 0 ] , outTexShape [ 1 ] ) ) ;
int index = resTexRC . x * outTexShape [ 1 ] + resTexRC . y ;
return ivec2 ( 0 , index ) ;
}
` : `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
return ivec2 ( 0 , index ) ;
}
` :n? `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( outTexShape [ 0 ] , outTexShape [ 1 ] ) ) ;
int index = resTexRC . x * outTexShape [ 1 ] + resTexRC . y ;
int r = index / outShape [ 1 ] ;
int c = index - r * outShape [ 1 ] ;
return ivec2 ( r , c ) ;
2021-08-14 17:16:26 +02:00
}
2021-09-11 16:29:31 +02:00
` : `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
int r = index / $ { e [ 1 ] } ;
int c = index - r * $ { e [ 1 ] } ;
return ivec2 ( r , c ) ;
2021-08-14 17:16:26 +02:00
}
2021-09-28 18:01:48 +02:00
` }function vi(e){return ` offset$ { e } ` }function xX(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),s=_n();return `
2021-09-11 16:29:31 +02:00
vec4 $ { n } ( ) {
2021-09-11 17:17:13 +02:00
return $ { s . texture2D } ( $ { t } , halfCR ) ;
2021-08-14 17:16:26 +02:00
}
2021-09-28 18:01:48 +02:00
` }function bX(e,t){let n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return ` float $ { s } ( ) { return $ { n } ; } ` ;let[r,a]=e.shapeInfo.texShape;if(r===1&&a===1)return `
2021-09-11 17:17:13 +02:00
float $ { s } ( ) {
2021-09-11 16:29:31 +02:00
return sampleTexture ( $ { n } , halfCR ) ;
}
2021-09-28 18:01:48 +02:00
` ;let o=vi(n);if(t)return `
2021-09-11 17:17:13 +02:00
float $ { s } ( ) {
vec2 uv = uvFromFlat ( $ { n } TexShape [ 0 ] , $ { n } TexShape [ 1 ] , $ { o } ) ;
2021-09-11 16:29:31 +02:00
return sampleTexture ( $ { n } , uv ) ;
2021-09-01 00:24:30 +02:00
}
2021-09-11 17:17:13 +02:00
` ;let[i,l]=e.shapeInfo.texShape;return `
float $ { s } ( ) {
vec2 uv = uvFromFlat ( $ { i } , $ { l } , $ { o } ) ;
2021-09-11 16:29:31 +02:00
return sampleTexture ( $ { n } , uv ) ;
}
2021-09-28 18:01:48 +02:00
` }function vX(e,t){let n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1),r=e.shapeInfo.texShape,a=_n();if(t)return `
2021-09-11 17:17:13 +02:00
vec4 $ { s } ( int index ) {
2021-09-11 16:29:31 +02:00
ivec2 packedTexShape = ivec2 ( ceil ( float ( $ { n } TexShape [ 0 ] ) / 2.0 ) , ceil ( float ( $ { n } TexShape [ 1 ] ) / 2.0 ) ) ;
vec2 uv = packedUVfrom1D (
packedTexShape [ 0 ] , packedTexShape [ 1 ] , index ) ;
2021-09-11 17:17:13 +02:00
return $ { a . texture2D } ( $ { n } , uv ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-11 17:17:13 +02:00
` ;let o=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)];return `
vec4 $ { s } ( int index ) {
2021-09-11 16:29:31 +02:00
vec2 uv = packedUVfrom1D (
2021-09-11 17:17:13 +02:00
$ { o [ 0 ] } , $ { o [ 1 ] } , index ) ;
return $ { a . texture2D } ( $ { n } , uv ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-28 18:01:48 +02:00
` }function wX(e,t){let n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return `
2021-09-11 17:17:13 +02:00
float $ { s } ( int index ) {
2021-09-28 18:01:48 +02:00
$ { Nu ( e ) }
2021-09-11 16:29:31 +02:00
}
2021-09-11 17:17:13 +02:00
` ;let r=e.shapeInfo.texShape,a=r[0],o=r[1];if(o===1&&a===1)return `
float $ { s } ( int index ) {
2021-09-11 16:29:31 +02:00
return sampleTexture ( $ { n } , halfCR ) ;
}
2021-09-28 18:01:48 +02:00
` ;let i=vi(n);return o===1?t? `
2021-09-11 17:17:13 +02:00
float $ { s } ( int index ) {
vec2 uv = vec2 ( 0.5 , ( float ( index + $ { i } ) + 0.5 ) / float ( $ { n } TexShape [ 0 ] ) ) ;
2021-09-11 16:29:31 +02:00
return sampleTexture ( $ { n } , uv ) ;
}
` : `
2021-09-11 17:17:13 +02:00
float $ { s } ( int index ) {
vec2 uv = vec2 ( 0.5 , ( float ( index + $ { i } ) + 0.5 ) / $ { a } . 0 ) ;
2021-09-11 16:29:31 +02:00
return sampleTexture ( $ { n } , uv ) ;
}
2021-09-11 17:17:13 +02:00
` :a===1?t? `
float $ { s } ( int index ) {
vec2 uv = vec2 ( ( float ( index + $ { i } ) + 0.5 ) / float ( $ { n } TexShape [ 1 ] ) , 0.5 ) ;
2021-09-11 16:29:31 +02:00
return sampleTexture ( $ { n } , uv ) ;
}
` : `
2021-09-11 17:17:13 +02:00
float $ { s } ( int index ) {
vec2 uv = vec2 ( ( float ( index + $ { i } ) + 0.5 ) / $ { o } . 0 , 0.5 ) ;
2021-09-11 16:29:31 +02:00
return sampleTexture ( $ { n } , uv ) ;
}
` :t? `
2021-09-11 17:17:13 +02:00
float $ { s } ( int index ) {
vec2 uv = uvFromFlat ( $ { n } TexShape [ 0 ] , $ { n } TexShape [ 1 ] , index + $ { i } ) ;
2021-09-11 16:29:31 +02:00
return sampleTexture ( $ { n } , uv ) ;
}
` : `
2021-09-11 17:17:13 +02:00
float $ { s } ( int index ) {
vec2 uv = uvFromFlat ( $ { a } , $ { o } , index + $ { i } ) ;
2021-09-11 16:29:31 +02:00
return sampleTexture ( $ { n } , uv ) ;
}
2021-09-28 18:01:48 +02:00
` }function kX(e,t){let n=e.shapeInfo.logicalShape,s=e.name,r="get"+s.charAt(0).toUpperCase()+s.slice(1),a=e.shapeInfo.texShape,o=a[0],i=a[1],l=_n();if(a!=null&&w.arraysEqual(n,a))return t? `
2021-09-11 16:29:31 +02:00
vec4 $ { r } ( int row , int col ) {
2021-09-11 17:17:13 +02:00
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { s } TexShape [ 1 ] , $ { s } TexShape [ 0 ] ) ;
2021-09-11 16:29:31 +02:00
2021-09-11 17:17:13 +02:00
return $ { l . texture2D } ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
` : `
vec4 $ { r } ( int row , int col ) {
2021-09-11 17:17:13 +02:00
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { i } . 0 , $ { o } . 0 ) ;
2021-09-11 16:29:31 +02:00
2021-09-11 17:17:13 +02:00
return $ { l . texture2D } ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
` ;if(t)return `
vec4 $ { r } ( int row , int col ) {
2021-09-11 17:17:13 +02:00
ivec2 packedTexShape = ivec2 ( ceil ( float ( $ { s } TexShape [ 0 ] ) / 2.0 ) , ceil ( float ( $ { s } TexShape [ 1 ] ) / 2.0 ) ) ;
int valuesPerRow = int ( ceil ( float ( $ { s } Shape [ 1 ] ) / 2.0 ) ) ;
2021-09-11 16:29:31 +02:00
vec2 uv = packedUVfrom2D ( valuesPerRow , packedTexShape [ 0 ] , packedTexShape [ 1 ] , row , col ) ;
2021-09-11 17:17:13 +02:00
return $ { l . texture2D } ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-11 17:17:13 +02:00
` ;let u=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],c=Math.ceil(n[1]/2);return `
2021-09-11 16:29:31 +02:00
vec4 $ { r } ( int row , int col ) {
2021-09-11 17:17:13 +02:00
vec2 uv = packedUVfrom2D ( $ { c } , $ { u [ 0 ] } , $ { u [ 1 ] } , row , col ) ;
return $ { l . texture2D } ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-28 18:01:48 +02:00
` }function IX(e,t){let n=e.shapeInfo.logicalShape,s=e.name,r="get"+s.charAt(0).toUpperCase()+s.slice(1),a=e.shapeInfo.texShape;if(a!=null&&w.arraysEqual(n,a)){if(t)return `
2021-09-11 16:29:31 +02:00
float $ { r } ( int row , int col ) {
2021-09-11 17:17:13 +02:00
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { s } TexShape [ 1 ] , $ { s } TexShape [ 0 ] ) ;
return sampleTexture ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-12 18:42:17 +02:00
` ;let p=a[0],h=a[1];return `
2021-09-11 16:29:31 +02:00
float $ { r } ( int row , int col ) {
2021-09-12 18:42:17 +02:00
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { h } . 0 , $ { p } . 0 ) ;
2021-09-11 17:17:13 +02:00
return sampleTexture ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-28 18:01:48 +02:00
` }let{newShape:o,keptDims:i}=w.squeezeShape(n),l=o;if(l.length<n.length){let p=Eu(e,l),h=["row","col"];return `
$ { Tu ( p , t ) }
2021-09-11 16:29:31 +02:00
float $ { r } ( int row , int col ) {
2021-09-28 18:01:48 +02:00
return $ { r } ( $ { Ru ( h , i ) } ) ;
2021-09-11 16:29:31 +02:00
}
` }if(e.shapeInfo.isUniform)return `
float $ { r } ( int row , int col ) {
int index = round ( dot ( vec2 ( row , col ) , vec2 ( $ { n [ 1 ] } , 1 ) ) ) ;
2021-09-28 18:01:48 +02:00
$ { Nu ( e ) }
2021-09-11 16:29:31 +02:00
}
2021-09-28 18:01:48 +02:00
` ;let u=a[0],c=a[1],d=vi(s);return c===1?t? `
2021-09-11 16:29:31 +02:00
float $ { r } ( int row , int col ) {
2021-09-11 17:17:13 +02:00
float index = dot ( vec3 ( row , col , $ { d } ) , vec3 ( $ { s } Shape [ 1 ] , 1 , 1 ) ) ;
vec2 uv = vec2 ( 0.5 , ( index + 0.5 ) / float ( $ { s } TexShape [ 0 ] ) ) ;
return sampleTexture ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
` : `
float $ { r } ( int row , int col ) {
2021-09-11 17:17:13 +02:00
float index = dot ( vec3 ( row , col , $ { d } ) , vec3 ( $ { n [ 1 ] } , 1 , 1 ) ) ;
2021-09-11 16:29:31 +02:00
vec2 uv = vec2 ( 0.5 , ( index + 0.5 ) / $ { u } . 0 ) ;
2021-09-11 17:17:13 +02:00
return sampleTexture ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
` :u===1?t? `
float $ { r } ( int row , int col ) {
2021-09-11 17:17:13 +02:00
float index = dot ( vec3 ( row , col , $ { d } ) , vec3 ( $ { s } Shape [ 1 ] , 1 , 1 ) ) ;
vec2 uv = vec2 ( ( index + 0.5 ) / float ( $ { s } TexShape [ 1 ] ) , 0.5 ) ;
return sampleTexture ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
` : `
float $ { r } ( int row , int col ) {
2021-09-11 17:17:13 +02:00
float index = dot ( vec3 ( row , col , $ { d } ) , vec3 ( $ { n [ 1 ] } , 1 , 1 ) ) ;
vec2 uv = vec2 ( ( index + 0.5 ) / $ { c } . 0 , 0.5 ) ;
return sampleTexture ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
` :t? `
float $ { r } ( int row , int col ) {
// Explicitly use integer operations as dot() only works on floats.
2021-09-11 17:17:13 +02:00
int index = row * $ { s } Shape [ 1 ] + col + $ { d } ;
vec2 uv = uvFromFlat ( $ { s } TexShape [ 0 ] , $ { s } TexShape [ 1 ] , index ) ;
return sampleTexture ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
` : `
float $ { r } ( int row , int col ) {
// Explicitly use integer operations as dot() only works on floats.
2021-09-11 17:17:13 +02:00
int index = row * $ { n [ 1 ] } + col + $ { d } ;
vec2 uv = uvFromFlat ( $ { u } , $ { c } , index ) ;
return sampleTexture ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-28 18:01:48 +02:00
` }function SX(e,t){let n=e.shapeInfo.logicalShape,s=e.name,r="get"+s.charAt(0).toUpperCase()+s.slice(1),a=e.shapeInfo.texShape,o=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)];if(n[0]===1){let p=n.slice(1),h=[1,2],f=Eu(e,p),m=["b","row","col"];return `
$ { K6 ( f , t ) }
2021-09-11 16:29:31 +02:00
vec4 $ { r } ( int b , int row , int col ) {
2021-09-28 18:01:48 +02:00
return $ { r } ( $ { Ru ( m , h ) } ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-28 18:01:48 +02:00
` }let i=_n();if(t)return `
2021-09-11 16:29:31 +02:00
vec4 $ { r } ( int b , int row , int col ) {
2021-09-11 17:17:13 +02:00
ivec2 packedTexShape = ivec2 ( ceil ( float ( $ { s } TexShape [ 0 ] ) / 2.0 ) , ceil ( float ( $ { s } TexShape [ 1 ] ) / 2.0 ) ) ;
int valuesPerRow = int ( ceil ( float ( $ { s } Shape [ 2 ] ) / 2.0 ) ) ;
int texelsInBatch = valuesPerRow * int ( ceil ( float ( $ { s } Shape [ 1 ] ) / 2.0 ) ) ;
2021-09-11 16:29:31 +02:00
vec2 uv = packedUVfrom3D (
packedTexShape [ 0 ] , packedTexShape [ 1 ] , texelsInBatch , valuesPerRow , b , row , col ) ;
2021-09-11 17:17:13 +02:00
return $ { i . texture2D } ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-11 17:17:13 +02:00
` ;let l=o[0],u=o[1],c=Math.ceil(n[2]/2),d=c*Math.ceil(n[1]/2);return `
2021-09-11 16:29:31 +02:00
vec4 $ { r } ( int b , int row , int col ) {
vec2 uv = packedUVfrom3D (
2021-09-11 17:17:13 +02:00
$ { l } , $ { u } , $ { d } , $ { c } , b , row , col ) ;
return $ { i . texture2D } ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-28 18:01:48 +02:00
` }function CX(e,t){let n=e.shapeInfo.logicalShape,s=e.name,r="get"+s.charAt(0).toUpperCase()+s.slice(1),a=n[1]*n[2],o=n[2],{newShape:i,keptDims:l}=w.squeezeShape(n),u=i;if(u.length<n.length){let m=Eu(e,u),g=["row","col","depth"];return `
$ { Tu ( m , t ) }
2021-09-11 16:29:31 +02:00
float $ { r } ( int row , int col , int depth ) {
2021-09-28 18:01:48 +02:00
return $ { r } ( $ { Ru ( g , l ) } ) ;
2021-08-14 17:17:51 +02:00
}
2021-09-11 16:29:31 +02:00
` }if(e.shapeInfo.isUniform)return `
float $ { r } ( int row , int col , int depth ) {
int index = round ( dot ( vec3 ( row , col , depth ) ,
2021-09-11 17:17:13 +02:00
vec3 ( $ { a } , $ { o } , 1 ) ) ) ;
2021-09-28 18:01:48 +02:00
$ { Nu ( e ) }
2021-09-11 16:29:31 +02:00
}
2021-09-12 18:42:17 +02:00
` ;let c=e.shapeInfo.texShape,d=c[0],p=c[1],h=e.shapeInfo.flatOffset;if(p===a&&h==null)return t? `
2021-09-11 16:29:31 +02:00
float $ { r } ( int row , int col , int depth ) {
2021-09-11 17:17:13 +02:00
int stride1 = $ { s } Shape [ 2 ] ;
2021-09-11 16:29:31 +02:00
float texR = float ( row ) ;
float texC = dot ( vec2 ( col , depth ) , vec2 ( stride1 , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
2021-09-11 17:17:13 +02:00
vec2 ( $ { s } TexShape [ 1 ] , $ { s } TexShape [ 0 ] ) ;
return sampleTexture ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
` : `
float $ { r } ( int row , int col , int depth ) {
float texR = float ( row ) ;
2021-09-11 17:17:13 +02:00
float texC = dot ( vec2 ( col , depth ) , vec2 ( $ { o } , 1 ) ) ;
2021-09-11 16:29:31 +02:00
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
2021-09-12 18:42:17 +02:00
vec2 ( $ { p } . 0 , $ { d } . 0 ) ;
2021-09-11 17:17:13 +02:00
return sampleTexture ( $ { s } , uv ) ;
2021-08-14 17:17:51 +02:00
}
2021-09-12 18:42:17 +02:00
` ;if(p===o&&h==null)return t? `
2021-09-11 16:29:31 +02:00
float $ { r } ( int row , int col , int depth ) {
2021-09-11 17:17:13 +02:00
float texR = dot ( vec2 ( row , col ) , vec2 ( $ { s } Shape [ 1 ] , 1 ) ) ;
2021-09-11 16:29:31 +02:00
float texC = float ( depth ) ;
2021-09-11 17:17:13 +02:00
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { s } TexShape [ 1 ] , $ { s } TexShape [ 0 ] ) ;
return sampleTexture ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
` : `
float $ { r } ( int row , int col , int depth ) {
float texR = dot ( vec2 ( row , col ) , vec2 ( $ { n [ 1 ] } , 1 ) ) ;
float texC = float ( depth ) ;
2021-09-12 18:42:17 +02:00
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { p } . 0 , $ { d } . 0 ) ;
2021-09-11 17:17:13 +02:00
return sampleTexture ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-28 18:01:48 +02:00
` ;let f=vi(s);return t? `
2021-09-11 16:29:31 +02:00
float $ { r } ( int row , int col , int depth ) {
// Explicitly use integer operations as dot() only works on floats.
2021-09-11 17:17:13 +02:00
int stride0 = $ { s } Shape [ 1 ] * $ { s } Shape [ 2 ] ;
int stride1 = $ { s } Shape [ 2 ] ;
int index = row * $ { a } + col * $ { o } + depth + $ { f } ;
vec2 uv = uvFromFlat ( $ { s } TexShape [ 0 ] , $ { s } TexShape [ 1 ] , index ) ;
return sampleTexture ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
` : `
float $ { r } ( int row , int col , int depth ) {
// Explicitly use integer operations as dot() only works on floats.
2021-09-11 17:17:13 +02:00
int index = row * $ { a } + col * $ { o } + depth + $ { f } ;
2021-09-12 18:42:17 +02:00
vec2 uv = uvFromFlat ( $ { d } , $ { p } , index ) ;
2021-09-11 17:17:13 +02:00
return sampleTexture ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-28 18:01:48 +02:00
` }function TX(e,t){let n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1),r=_n();if(t)return `
2021-09-11 17:17:13 +02:00
vec4 $ { s } ( int b2 , int b , int row , int col ) {
2021-09-11 16:29:31 +02:00
int valuesPerRow = int ( ceil ( float ( $ { n } Shape [ 3 ] ) / 2.0 ) ) ;
int texelsInBatch = valuesPerRow * int ( ceil ( float ( $ { n } Shape [ 2 ] ) / 2.0 ) ) ;
int index = b * texelsInBatch + ( row / 2 ) * valuesPerRow + ( col / 2 ) ;
texelsInBatch *= $ { n } Shape [ 1 ] ;
index = b2 * texelsInBatch + index ;
ivec2 packedTexShape = ivec2 ( ceil ( float ( $ { n } TexShape [ 0 ] ) / 2.0 ) , ceil ( float ( $ { n } TexShape [ 1 ] ) / 2.0 ) ) ;
int texR = index / packedTexShape [ 1 ] ;
int texC = index - texR * packedTexShape [ 1 ] ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( packedTexShape [ 1 ] , packedTexShape [ 0 ] ) ; return $ { r . texture2D } ( $ { n } , uv ) ;
}
2021-09-12 18:42:17 +02:00
` ;let a=e.shapeInfo.logicalShape,o=a.length,i=e.shapeInfo.texShape,l=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)],u=l[0],c=l[1],d=Math.ceil(a[o-1]/2),p=d*Math.ceil(a[o-2]/2),h="int b, int row, int col",f= ` b * $ { p } + ( row / 2 ) * $ { d } + ( col / 2 ) ` ;for(let m=2;m<o-1;m++)h= ` int b$ { m } , ` +h,p*=a[o-m-1],f= ` b$ { m } * $ { p } + ` +f;return `
vec4 $ { s } ( $ { h } ) {
2021-09-11 17:17:13 +02:00
int index = $ { f } ;
int texR = index / $ { c } ;
int texC = index - texR * $ { c } ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { c } , $ { u } ) ;
2021-09-11 16:29:31 +02:00
return $ { r . texture2D } ( $ { n } , uv ) ;
}
2021-09-28 18:01:48 +02:00
` }function NX(e,t){let n=e.shapeInfo.logicalShape,s=e.name,r="get"+s.charAt(0).toUpperCase()+s.slice(1),a=n[3],o=n[2]*a,i=n[1]*o,{newShape:l,keptDims:u}=w.squeezeShape(n);if(l.length<n.length){let y=Eu(e,l),x=["row","col","depth","depth2"];return `
$ { Tu ( y , t ) }
2021-09-11 16:29:31 +02:00
float $ { r } ( int row , int col , int depth , int depth2 ) {
2021-09-28 18:01:48 +02:00
return $ { r } ( $ { Ru ( x , u ) } ) ;
2021-09-11 16:29:31 +02:00
}
` }if(e.shapeInfo.isUniform)return `
float $ { r } ( int row , int col , int depth , int depth2 ) {
int index = round ( dot ( vec4 ( row , col , depth , depth2 ) ,
2021-09-11 17:17:13 +02:00
vec4 ( $ { i } , $ { o } , $ { a } , 1 ) ) ) ;
2021-09-28 18:01:48 +02:00
$ { Nu ( e ) }
2021-09-11 16:29:31 +02:00
}
2021-09-12 18:42:17 +02:00
` ;let c=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,p=d[0],h=d[1],f= ` int stride2 = $ { s } Shape [ 3 ] ; ` ,m= ` int stride1 = $ { s } Shape [ 2 ] * stride2 ; ` ,g= ` int stride0 = $ { s } Shape [ 1 ] * stride1 ; ` ;if(h===i&&c==null)return t? `
2021-09-11 16:29:31 +02:00
float $ { r } ( int row , int col , int depth , int depth2 ) {
$ { f }
2021-09-11 17:17:13 +02:00
$ { m }
2021-09-11 16:29:31 +02:00
float texR = float ( row ) ;
float texC =
dot ( vec3 ( col , depth , depth2 ) ,
vec3 ( stride1 , stride2 , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
2021-09-11 17:17:13 +02:00
vec2 ( $ { s } TexShape [ 1 ] , $ { s } TexShape [ 0 ] ) ;
return sampleTexture ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
` : `
float $ { r } ( int row , int col , int depth , int depth2 ) {
float texR = float ( row ) ;
float texC =
dot ( vec3 ( col , depth , depth2 ) ,
2021-09-11 17:17:13 +02:00
vec3 ( $ { o } , $ { a } , 1 ) ) ;
2021-09-11 16:29:31 +02:00
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
2021-09-12 18:42:17 +02:00
vec2 ( $ { h } . 0 , $ { p } . 0 ) ;
2021-09-11 17:17:13 +02:00
return sampleTexture ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-12 18:42:17 +02:00
` ;if(h===a&&c==null)return t? `
2021-09-11 16:29:31 +02:00
float $ { r } ( int row , int col , int depth , int depth2 ) {
float texR = dot ( vec3 ( row , col , depth ) ,
2021-09-11 17:17:13 +02:00
vec3 ( $ { s } Shape [ 1 ] * $ { s } Shape [ 2 ] , $ { s } Shape [ 2 ] , 1 ) ) ;
2021-09-11 16:29:31 +02:00
float texC = float ( depth2 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
2021-09-11 17:17:13 +02:00
vec2 ( $ { s } TexShape [ 1 ] , $ { s } TexShape [ 0 ] ) ;
return sampleTexture ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
` : `
float $ { r } ( int row , int col , int depth , int depth2 ) {
float texR = dot ( vec3 ( row , col , depth ) ,
vec3 ( $ { n [ 1 ] * n [ 2 ] } , $ { n [ 2 ] } , 1 ) ) ;
float texC = float ( depth2 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
2021-09-12 18:42:17 +02:00
vec2 ( $ { h } . 0 , $ { p } . 0 ) ;
2021-09-11 17:17:13 +02:00
return sampleTexture ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-28 18:01:48 +02:00
` ;let A=vi(s);return t? `
2021-09-11 16:29:31 +02:00
float $ { r } ( int row , int col , int depth , int depth2 ) {
// Explicitly use integer operations as dot() only works on floats.
$ { f }
2021-09-11 17:17:13 +02:00
$ { m }
2021-09-11 16:29:31 +02:00
$ { g }
int index = row * stride0 + col * stride1 +
depth * stride2 + depth2 ;
2021-09-11 17:17:13 +02:00
vec2 uv = uvFromFlat ( $ { s } TexShape [ 0 ] , $ { s } TexShape [ 1 ] , index + $ { A } ) ;
return sampleTexture ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
` : `
float $ { r } ( int row , int col , int depth , int depth2 ) {
// Explicitly use integer operations as dot() only works on floats.
2021-09-11 17:17:13 +02:00
int index = row * $ { i } + col * $ { o } +
depth * $ { a } + depth2 ;
2021-09-12 18:42:17 +02:00
vec2 uv = uvFromFlat ( $ { p } , $ { h } , index + $ { A } ) ;
2021-09-11 17:17:13 +02:00
return sampleTexture ( $ { s } , uv ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-28 18:01:48 +02:00
` }function EX(e){let t=e.shapeInfo.logicalShape,n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1),r=t[4],a=t[3]*r,o=t[2]*a,i=t[1]*o,{newShape:l,keptDims:u}=w.squeezeShape(t);if(l.length<t.length){let m=Eu(e,l),g=["row","col","depth","depth2","depth3"];return `
$ { Tu ( m ) }
2021-09-11 17:17:13 +02:00
float $ { s } ( int row , int col , int depth , int depth2 , int depth3 ) {
2021-09-28 18:01:48 +02:00
return $ { s } ( $ { Ru ( g , u ) } ) ;
2021-09-11 16:29:31 +02:00
}
` }if(e.shapeInfo.isUniform)return `
2021-09-11 17:17:13 +02:00
float $ { s } ( int row , int col , int depth , int depth2 , int depth3 ) {
2021-09-11 16:29:31 +02:00
float index = dot (
vec4 ( row , col , depth , depth2 ) ,
2021-09-11 17:17:13 +02:00
vec4 ( $ { i } , $ { o } , $ { a } , $ { r } ) ) +
2021-09-11 16:29:31 +02:00
depth3 ;
2021-09-28 18:01:48 +02:00
$ { Nu ( e ) }
2021-09-11 16:29:31 +02:00
}
2021-09-12 18:42:17 +02:00
` ;let c=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,p=d[0],h=d[1];if(h===i&&c==null)return `
2021-09-11 17:17:13 +02:00
float $ { s } ( int row , int col , int depth , int depth2 , int depth3 ) {
2021-09-11 16:29:31 +02:00
int texR = row ;
float texC = dot ( vec4 ( col , depth , depth2 , depth3 ) ,
2021-09-11 17:17:13 +02:00
vec4 ( $ { o } , $ { a } , $ { r } , 1 ) ) ;
2021-09-11 16:29:31 +02:00
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
2021-09-12 18:42:17 +02:00
vec2 ( $ { h } . 0 , $ { p } . 0 ) ;
2021-09-11 16:29:31 +02:00
return sampleTexture ( $ { n } , uv ) ;
}
2021-09-12 18:42:17 +02:00
` ;if(h===r&&c==null)return `
2021-09-11 17:17:13 +02:00
float $ { s } ( int row , int col , int depth , int depth2 , int depth3 ) {
2021-09-11 16:29:31 +02:00
float texR = dot (
vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { t [ 1 ] * t [ 2 ] * t [ 3 ] } ,
$ { t [ 2 ] * t [ 3 ] } , $ { t [ 3 ] } , 1 ) ) ;
int texC = depth3 ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
2021-09-12 18:42:17 +02:00
vec2 ( $ { h } . 0 , $ { p } . 0 ) ;
2021-09-11 16:29:31 +02:00
return sampleTexture ( $ { n } , uv ) ;
}
2021-09-28 18:01:48 +02:00
` ;let f=vi(n);return `
2021-09-11 17:17:13 +02:00
float $ { s } ( int row , int col , int depth , int depth2 , int depth3 ) {
2021-09-11 16:29:31 +02:00
// Explicitly use integer operations as dot() only works on floats.
2021-09-11 17:17:13 +02:00
int index = row * $ { i } + col * $ { o } + depth * $ { a } +
depth2 * $ { r } + depth3 + $ { f } ;
2021-09-12 18:42:17 +02:00
vec2 uv = uvFromFlat ( $ { p } , $ { h } , index ) ;
2021-09-11 16:29:31 +02:00
return sampleTexture ( $ { n } , uv ) ;
}
2021-09-28 18:01:48 +02:00
` }function RX(e){let t=e.shapeInfo.logicalShape,n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1),{newShape:r,keptDims:a}=w.squeezeShape(t);if(r.length<t.length){let g=Eu(e,r),A=["row","col","depth","depth2","depth3","depth4"];return `
$ { Tu ( g ) }
2021-09-11 17:17:13 +02:00
float $ { s } ( int row , int col , int depth ,
2021-09-11 16:29:31 +02:00
int depth2 , int depth3 , int depth4 ) {
2021-09-28 18:01:48 +02:00
return $ { s } ( $ { Ru ( A , a ) } ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-11 17:17:13 +02:00
` }let o=t[5],i=t[4]*o,l=t[3]*i,u=t[2]*l,c=t[1]*u;if(e.shapeInfo.isUniform)return `
float $ { s } ( int row , int col , int depth ,
2021-09-11 16:29:31 +02:00
int depth2 , int depth3 , int depth4 ) {
int index = round ( dot (
vec4 ( row , col , depth , depth2 ) ,
2021-09-11 17:17:13 +02:00
vec4 ( $ { c } , $ { u } , $ { l } , $ { i } ) ) +
2021-09-11 16:29:31 +02:00
dot (
vec2 ( depth3 , depth4 ) ,
2021-09-11 17:17:13 +02:00
vec2 ( $ { o } , 1 ) ) ) ;
2021-09-28 18:01:48 +02:00
$ { Nu ( e ) }
2021-09-11 16:29:31 +02:00
}
2021-09-12 18:42:17 +02:00
` ;let d=e.shapeInfo.flatOffset,p=e.shapeInfo.texShape,h=p[0],f=p[1];if(f===c&&d==null)return `
2021-09-11 17:17:13 +02:00
float $ { s } ( int row , int col , int depth ,
2021-09-11 16:29:31 +02:00
int depth2 , int depth3 , int depth4 ) {
int texR = row ;
float texC = dot ( vec4 ( col , depth , depth2 , depth3 ) ,
2021-09-11 17:17:13 +02:00
vec4 ( $ { u } , $ { l } , $ { i } , $ { o } ) ) +
2021-09-11 16:29:31 +02:00
float ( depth4 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
2021-09-12 18:42:17 +02:00
vec2 ( $ { f } . 0 , $ { h } . 0 ) ;
2021-09-11 16:29:31 +02:00
return sampleTexture ( $ { n } , uv ) ;
}
2021-09-11 17:17:13 +02:00
` ;if(f===o&&d==null)return `
float $ { s } ( int row , int col , int depth ,
2021-09-11 16:29:31 +02:00
int depth2 , int depth3 , int depth4 ) {
float texR = dot ( vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { t [ 1 ] * t [ 2 ] * t [ 3 ] * t [ 4 ] } ,
$ { t [ 2 ] * t [ 3 ] * t [ 4 ] } ,
$ { t [ 3 ] * t [ 4 ] } ,
$ { t [ 4 ] } ) ) + float ( depth3 ) ;
int texC = depth4 ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
2021-09-12 18:42:17 +02:00
vec2 ( $ { f } . 0 , $ { h } . 0 ) ;
2021-09-11 16:29:31 +02:00
return sampleTexture ( $ { n } , uv ) ;
}
2021-09-28 18:01:48 +02:00
` ;let m=vi(n);return `
2021-09-11 17:17:13 +02:00
float $ { s } ( int row , int col , int depth ,
2021-09-11 16:29:31 +02:00
int depth2 , int depth3 , int depth4 ) {
// Explicitly use integer operations as dot() only works on floats.
2021-09-11 17:17:13 +02:00
int index = row * $ { c } + col * $ { u } + depth * $ { l } +
depth2 * $ { i } + depth3 * $ { o } + depth4 + $ { m } ;
2021-09-12 18:42:17 +02:00
vec2 uv = uvFromFlat ( $ { h } , $ { f } , index ) ;
2021-09-11 16:29:31 +02:00
return sampleTexture ( $ { n } , uv ) ;
}
2021-09-28 18:01:48 +02:00
` }function Nu(e){let t=e.name,n=w.sizeFromShape(e.shapeInfo.logicalShape);return n<2? ` return $ { t } ; ` : `
2021-09-11 16:29:31 +02:00
for ( int i = 0 ; i < $ { n } ; i ++ ) {
if ( i == index ) {
return $ { t } [ i ] ;
}
}
2021-09-28 18:01:48 +02:00
` }function DX(e,t){let n=e.name,s=n.charAt(0).toUpperCase()+n.slice(1),r="get"+s+"AtOutCoords",a=e.shapeInfo.logicalShape.length,o=t.logicalShape.length,i=X6(e.shapeInfo.logicalShape,t.logicalShape),l=yt(o),u=o-a,c,d=["x","y","z","w","u","v"];a===0?c="":o<2&&i.length>=1?c="coords = 0;":c=i.map(y=> ` coords . $ { d [ y + u ] } = 0 ; ` ).join( `
2021-09-12 18:42:17 +02:00
` );let p="";o<2&&a>0?p="coords":p=e.shapeInfo.logicalShape.map((y,x)=> ` coords . $ { d [ x + u ] } ` ).join(", ");let h="return outputValue;",m=w.sizeFromShape(e.shapeInfo.logicalShape)===1,A=w.sizeFromShape(t.logicalShape)===1;if(a===1&&!m&&!A)h= `
2021-09-11 16:29:31 +02:00
return vec4 ( outputValue . xy , outputValue . xy ) ;
2021-09-12 18:42:17 +02:00
` ;else if(m&&!A)o===1?h= `
2021-09-11 16:29:31 +02:00
return vec4 ( outputValue . x , outputValue . x , 0. , 0. ) ;
2021-09-12 18:42:17 +02:00
` :h= `
2021-09-11 16:29:31 +02:00
return vec4 ( outputValue . x ) ;
2021-09-12 18:42:17 +02:00
` ;else if(i.length){let y=a-2,x=a-1;i.indexOf(y)>-1&&i.indexOf(x)>-1?h="return vec4(outputValue.x);":i.indexOf(y)>-1?h="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":i.indexOf(x)>-1&&(h="return vec4(outputValue.xx, outputValue.zz);")}return `
2021-09-11 16:29:31 +02:00
vec4 $ { r } ( ) {
$ { l } coords = getOutputCoords ( ) ;
2021-09-11 17:17:13 +02:00
$ { c }
2021-09-12 18:42:17 +02:00
vec4 outputValue = get$ { s } ( $ { p } ) ;
$ { h }
2021-09-11 16:29:31 +02:00
}
2021-09-28 18:01:48 +02:00
` }function _X(e,t){let n=e.name,s=n.charAt(0).toUpperCase()+n.slice(1),r="get"+s+"AtOutCoords",a=t.texShape,o=e.shapeInfo.texShape,i=e.shapeInfo.logicalShape.length,l=t.logicalShape.length;if(!e.shapeInfo.isUniform&&i===l&&e.shapeInfo.flatOffset==null&&w.arraysEqual(o,a))return `
2021-09-11 16:29:31 +02:00
float $ { r } ( ) {
return sampleTexture ( $ { n } , resultUV ) ;
}
2021-09-28 18:01:48 +02:00
` ;let u=yt(l),c=X6(e.shapeInfo.logicalShape,t.logicalShape),d=l-i,p,h=["x","y","z","w","u","v"];i===0?p="":l<2&&c.length>=1?p="coords = 0;":p=c.map(m=> ` coords . $ { h [ m + d ] } = 0 ; ` ).join( `
2021-09-12 18:42:17 +02:00
` );let f="";return l<2&&i>0?f="coords":f=e.shapeInfo.logicalShape.map((m,g)=> ` coords . $ { h [ g + d ] } ` ).join(", "), `
2021-09-11 16:29:31 +02:00
float $ { r } ( ) {
$ { u } coords = getOutputCoords ( ) ;
2021-09-12 18:42:17 +02:00
$ { p }
2021-09-11 17:17:13 +02:00
return get$ { s } ( $ { f } ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-28 18:01:48 +02:00
` }function yt(e){if(e<=1)return"int";if(e===2)return"ivec2";if(e===3)return"ivec3";if(e===4)return"ivec4";if(e===5)return"ivec5";if(e===6)return"ivec6";throw Error( ` GPU for rank $ { e } is not yet supported ` )}function N2(e,t,n){let{newShape:s,keptDims:r}=w.squeezeShape(t),a=t.length,o=e&&a===3&&t[0]===1,i=o?t.slice(1):s,l=!e&&a>1&&!w.arraysEqual(t,n)&&s.length<a||o;return{useSqueezeShape:l,uniformShape:l?i:t,keptDims:r}}function Eu(e,t){let n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function Ru(e,t){return t.map(n=>e[n]).join(", ")}function $ X(e,t,n,s){let r=n.map((x,b)=>{let v={logicalShape:x.shape,texShape:x.isUniform?null:x.texData.texShape,isUniform:x.isUniform,isPacked:x.isUniform?!1:x.texData.isPacked,flatOffset:null};return x.texData!=null&&x.texData.slice!=null&&x.texData.slice.flatOffset>0&&(v.flatOffset=x.texData.slice.flatOffset),{name:t.variableNames[b],shapeInfo:v}}),a=r.map(x=>x.shapeInfo),o={logicalShape:s.shape,texShape:s.texData.texShape,isUniform:!1,isPacked:s.texData.isPacked,flatOffset:null},i=Yq(r,o,t),l=e.createProgram(i),u=null,c=e.getUniformLocation(l,"NAN",!1);Y().getNumber("WEBGL_VERSION")===1&&(u=e.getUniformLocation(l,"INFINITY",!1));let d=!1,p={},h={},f={};for(let x=0;x<t.variableNames.length;x++){let b=t.variableNames[x];p[b]=e.getUniformLocation(l,b,d),p[ ` offset$ { b } ` ]=e.getUniformLocation(l, ` offset$ { b } ` ,d),t.enableShapeUniforms&&(h[ ` $ { b } Shape ` ]=e.getUniformLocation(l, ` $ { b } Shape ` ,d),f[ ` $ { b } TexShape ` ]=e.getUniformLocation(l, ` $ { b } TexShape ` ,d))}let m,g,A;t.enableShapeUniforms&&(m=e.getUniformLocation(l,"outShape",d),A=e.getUniformLocation(l,"outShapeStrides",d),g=e.getUniformLocation(l,"outTexShape",d));let y=[];return t.customUniforms&&t.customUniforms.forEach((x,b)=>{y[b]=e.getUniformLocation(l,x.name,d)}),{program:t,source:i,webGLProgram:l,uniformLocations:p,customUniformLocations:y,inShapeInfos:a,outShapeInfo:o,infLoc:u,nanLoc:c,inShapesLocations:h,inTexShapesLocations:f,outShapeLocation:m,outShapeStridesLocation:A,outTexShapeLocation:g}}function Y6(e,t){if(e.length!==t.length)throw Error( ` Binary was compiled with $ { e . length } inputs , but was executed with $ { t . length } inputs ` );e.forEach((n,s)=>{let r=n.logicalShape,a=t[s],o=a.shape;if(!w.arraysEqual(r,o))throw Error( ` Binary was compiled with different shapes than the current args . Shapes $ { r } and $ { o } must match ` );if(n.isUniform&&a.isUniform)return;let i=n.texShape,l=a.isUniform?null:a.texData.texShape;if(!w.arraysEqual(i,l))throw Error( ` Binary was compiled with different texture shapes than the current args . Shape $ { i } and $ { l } must match ` )})}function FX(e,t,n,s,r){t.program.enableShapeUniforms||(Y6(t.inShapeInfos,n),Y6([t.outShapeInfo],[s]));let a=s.texData.texture,o=s.texData.texShape;s.texData.isPacked?e.setOutputPackedMatrixTexture(a,o[0],o[1]):e.setOutputMatrixTexture(a,o[0],o[1]),e.setProgram(t.webGLProgram),Y().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&e.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&e.gl.uniform1f(t.nanLoc,NaN),n.forEach((l,u)=>{let c=t.program.variableNames[u],d=t.uniformLocations[c],p=t.uniformLocations[ ` offset$ { c } ` ],h=t.inShapesLocations[ ` $ { c } Shape ` ],f=t.inTexShapesLocations[ ` $ { c } TexShape ` ];if(h){let{uniformShape:m}=N2(t.program.packedInputs,l.shape,l.texData.texShape);switch(m.length){case 1:e.gl.uniform1iv(h,new Int32Array(m));break;case 2:e.gl.uniform2iv(h,new Int32Array(m));break;case 3:e.gl.uniform3iv(h,new Int32Array(m));break;case 4:e.gl.uniform4iv(h,new Int32Array(m));break;default:break}}if(f&&e.gl.uniform2i(f,l.texData.texShape[0],l.texData.texShape[1]),d!=null){if(l.isUniform){if(w.sizeFromShape(l.shape)<2)e.gl.uniform1f(d,l.uniformValues[0]);else{let m=l.uniformValues;m instanceof Float32Array||(m=new Float32Array(m)),e.gl.uniform1fv(d,m)}return}l.texData.slice!=null&&p!=null&&e.gl.uniform1i(p,l.texData.slice.flatOffset),e.setInputMatrixTexture(l.texData.texture,d,u)}});let i=t.outShapeLocation;if(i)switch(s.shape.length){case 1:e.gl.uniform1iv(i,new Int32Array(s.shape));break;case 2:e.gl.uniform2iv(i,new Int32Array(s.shape));break;case 3:e.gl.uniform3iv(i,new Int32Array(s
2021-09-11 16:29:31 +02:00
ivec3 outCoordsFromFlatIndex ( int index ) {
2021-09-28 18:01:48 +02:00
$ { this . enableShapeUniforms ? u0 ( [ "r" , "c" , "d" ] , e ) : bi ( [ "r" , "c" , "d" ] , e ) }
2021-09-11 16:29:31 +02:00
return ivec3 ( r , c , d ) ;
}
void main ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx * vec2 ( texShape [ 0 ] , texShape [ 1 ] ) ) ;
int index = 4 * ( resTexRC . x * texShape [ 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 ) ;
2021-08-31 19:00:06 +02:00
}
2021-09-11 16:29:31 +02:00
$ { t . output } = result ;
}
2021-09-28 18:01:48 +02:00
` }},MX=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Cd.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=_n();this.outputShape=e,this.enableShapeUniforms=Is(this.outputShape.length),this.userCode= `
2021-09-11 16:29:31 +02:00
ivec3 outCoordsFromFlatIndex ( int index ) {
2021-09-28 18:01:48 +02:00
$ { this . enableShapeUniforms ? u0 ( [ "r" , "c" , "d" ] , e ) : bi ( [ "r" , "c" , "d" ] , e ) }
2021-09-11 16:29:31 +02:00
return ivec3 ( r , c , d ) ;
}
void main ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx * vec2 ( texShape [ 0 ] , texShape [ 1 ] ) ) ;
int index = 4 * ( resTexRC . x * texShape [ 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 ) ) ;
2021-08-31 19:00:06 +02:00
}
2021-09-11 16:29:31 +02:00
$ { t . output } = result ;
}
2021-09-28 18:01:48 +02:00
` }},zX=class{constructor(e){this.variableNames=["A"],this.outTexUsage=ws.DOWNLOAD;let t=_n();this.outputShape=e,this.userCode= `
$ { q6 }
2021-09-11 16:29:31 +02:00
void main ( ) {
float x = getAAtOutCoords ( ) ;
$ { t . output } = encode _float ( x ) ;
}
2021-09-28 18:01:48 +02:00
` }},LX=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=ws.DOWNLOAD;let t=_n();this.outputShape=e,this.userCode= `
$ { q6 }
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
float x = getChannel ( getAAtOutCoords ( ) , vec2 ( coords . y , coords . z ) ) ;
$ { t . output } = encode _float ( x ) ;
}
2021-09-28 18:01:48 +02:00
` }},BX=class{constructor(e,t=!1){this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];let n=_n();this.outputShape=e,this.enableShapeUniforms=Is(this.outputShape.length);let s="result";t&&(s="floor(result * 255. + 0.5)"),this.userCode= `
$ { this . enableShapeUniforms ? T2 ( ) : C2 ( e ) }
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
int flatIndex = getFlatIndex ( coords ) ;
int offset = imod ( flatIndex , 4 ) ;
flatIndex = idiv ( flatIndex , 4 , 1. ) ;
int r = flatIndex / texShape [ 1 ] ;
int c = imod ( flatIndex , texShape [ 1 ] ) ;
vec2 uv = ( vec2 ( c , r ) + halfCR ) / vec2 ( texShape [ 1 ] , texShape [ 0 ] ) ;
vec4 values = $ { n . 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 ] ;
2021-08-31 19:00:06 +02:00
}
2021-09-11 16:29:31 +02:00
2021-09-11 17:17:13 +02:00
$ { n . output } = vec4 ( $ { s } , 0. , 0. , 0. ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-28 18:01:48 +02:00
` }},WX=class{constructor(e,t=!1){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.customUniforms=[{name:"texShape",type:"ivec2"}];let n=_n();this.outputShape=e,this.enableShapeUniforms=Is(this.outputShape.length);let s="",r="result";t&&(r="floor(result * 255. + 0.5)");for(let a=0;a<=1;a++)for(let o=0;o<=1;o++){let i=a*2+o;s+= `
2021-09-11 16:29:31 +02:00
localCoords = coords ;
2021-09-11 17:17:13 +02:00
if ( localCoords [ 2 ] + $ { o } < $ { this . enableShapeUniforms ? "outShape[2]" : ` ${ e [ 2 ] } ` } ) {
localCoords [ 2 ] += $ { o } ;
if ( localCoords [ 1 ] + $ { a } < $ { this . enableShapeUniforms ? "outShape[1]" : ` ${ e [ 1 ] } ` } ) {
localCoords [ 1 ] += $ { a } ;
2021-09-11 16:29:31 +02:00
flatIndex = getFlatIndex ( localCoords ) ;
offset = imod ( flatIndex , 4 ) ;
flatIndex = idiv ( flatIndex , 4 , 1. ) ;
int r = flatIndex / texShape [ 1 ] ;
int c = imod ( flatIndex , texShape [ 1 ] ) ;
vec2 uv = ( vec2 ( c , r ) + halfCR ) / vec2 ( texShape [ 1 ] , texShape [ 0 ] ) ;
values = $ { n . texture2D } ( A , uv ) ;
if ( offset == 0 ) {
2021-09-11 17:17:13 +02:00
result [ $ { i } ] = values [ 0 ] ;
2021-09-11 16:29:31 +02:00
} else if ( offset == 1 ) {
2021-09-11 17:17:13 +02:00
result [ $ { i } ] = values [ 1 ] ;
2021-09-11 16:29:31 +02:00
} else if ( offset == 2 ) {
2021-09-11 17:17:13 +02:00
result [ $ { i } ] = values [ 2 ] ;
2021-08-31 19:00:06 +02:00
} else {
2021-09-11 17:17:13 +02:00
result [ $ { i } ] = values [ 3 ] ;
2021-08-31 19:00:06 +02:00
}
}
}
2021-09-11 16:29:31 +02:00
` }this.userCode= `
2021-09-28 18:01:48 +02:00
$ { this . enableShapeUniforms ? T2 ( ) : C2 ( e ) }
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
int flatIndex , r , c , offset ;
ivec3 localCoords ;
vec2 uv ;
vec4 values ;
2021-09-11 17:17:13 +02:00
$ { s }
2021-09-11 16:29:31 +02:00
$ { n . output } = $ { r } ;
2021-08-14 17:17:51 +02:00
}
2021-09-28 18:01:48 +02:00
` }},J6={};Le(J6,{bindVertexProgramAttributeStreams:()=>i4,createBufferFromOutputTexture:()=>c4,createFloat16MatrixTexture:()=>s4,createFloat16PackedMatrixTexture:()=>o4,createFloat32MatrixTexture:()=>n4,createIndexBuffer:()=>t4,createPackedMatrixTexture:()=>a4,createUnsignedBytesMatrixTexture:()=>r4,createVertexBuffer:()=>e4,createVertexShader:()=>Q6,downloadByteEncodedFloatMatrixFromOutputTexture:()=>p4,downloadFloat32MatrixFromBuffer:()=>d4,downloadMatrixFromPackedOutputTexture:()=>f4,downloadPackedMatrixFromBuffer:()=>h4,getInternalFormatForFloat16MatrixTexture:()=>R2,getInternalFormatForFloat16PackedMatrixTexture:()=> $ 2,getInternalFormatForFloat32MatrixTexture:()=>E2,getInternalFormatForPackedMatrixTexture:()=>_2,getInternalFormatForUnsignedBytesMatrixTexture:()=>D2,uploadDenseMatrixToTexture:()=>l4,uploadPixelDataToTexture:()=>u4});function Q6(e){let t=_n(),n= ` $ { t . version }
2021-09-11 16:29:31 +02:00
precision highp float ;
$ { t . attribute } vec3 clipSpacePos ;
$ { t . attribute } vec2 uv ;
$ { t . varyingVs } vec2 resultUV ;
void main ( ) {
gl _Position = vec4 ( clipSpacePos , 1 ) ;
resultUV = uv ;
2021-09-28 19:48:29 +02:00
} ` ;return S6(e,n)}function e4(e){let t=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return E6(e,t)}function t4(e){let t=new Uint16Array([0,1,2,2,1,3]);return R6(e,t)}function Dd(e,t,n,s,r,a){_6(t,n);let o=D6(e),i=e.TEXTURE_2D;return ke(e,()=>e.bindTexture(i,o)),ke(e,()=>e.texParameteri(i,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)),ke(e,()=>e.texParameteri(i,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)),ke(e,()=>e.texParameteri(i,e.TEXTURE_MIN_FILTER,e.NEAREST)),ke(e,()=>e.texParameteri(i,e.TEXTURE_MAG_FILTER,e.NEAREST)),ke(e,()=>e.texImage2D(i,0,s,t,n,0,r,a,null)),ke(e,()=>e.bindTexture(e.TEXTURE_2D,null)),o}function E2(e){return e.internalFormatFloat}function n4(e,t,n,s){let[r,a]=Td(t,n);return Dd(e,r,a,E2(s),s.textureFormatFloat,e.FLOAT)}function R2(e){return e.internalFormatHalfFloat}function s4(e,t,n,s){let[r,a]=Td(t,n);return Dd(e,r,a,R2(s),s.textureFormatFloat,s.textureTypeHalfFloat)}function D2(e){return e.downloadTextureFormat}function r4(e,t,n,s){let[r,a]=Td(t,n);return Dd(e,r,a,D2(s),e.RGBA,e.UNSIGNED_BYTE)}function _2(e){return e.internalFormatPackedFloat}function a4(e,t,n,s){let[r,a]=Su(t,n);return Dd(e,r,a,_2(s),e.RGBA,e.FLOAT)}function $ 2(e){return e.internalFormatPackedHalfFloat}function o4(e,t,n,s){let[r,a]=Su(t,n);return Dd(e,r,a, $ 2(s),e.RGBA,s.textureTypeHalfFloat)}function i4(e,t,n){let s=0,r=3*4,a=3*4+2*4;return ke(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),w2(e,t,"clipSpacePos",n,3,a,s)&&w2(e,t,"uv",n,2,a,r)}function l4(e,t,n,s,r,a){ke(e,()=>e.bindTexture(e.TEXTURE_2D,t));let o,i,l;r instanceof Uint8Array?(o=new Uint8Array(n*s*4),i=e.UNSIGNED_BYTE,l=e.RGBA):(o=new Float32Array(n*s*4),i=e.FLOAT,l=a.internalFormatPackedFloat),o.set(r),ke(e,()=>e.texImage2D(e.TEXTURE_2D,0,l,n,s,0,e.RGBA,i,o)),ke(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function u4(e,t,n){ke(e,()=>e.bindTexture(e.TEXTURE_2D,t)),n.data instanceof Uint8Array?ke(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)):ke(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)),ke(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function c4(e,t,n,s){let r=e.createBuffer();ke(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,r));let i=4*4*t*n;return ke(e,()=>e.bufferData(e.PIXEL_PACK_BUFFER,i,e.STREAM_READ)),ke(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)),ke(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null)),r}function d4(e,t,n){let s=e,r=new Float32Array(n);return s.bindBuffer(s.PIXEL_PACK_BUFFER,t),s.getBufferSubData(s.PIXEL_PACK_BUFFER,0,r),s.bindBuffer(s.PIXEL_PACK_BUFFER,null),r}function p4(e,t,n,s){let[r,a]=Td(t,n),o=4,i=new Uint8Array(Pq(t*n,o));return ke(e,()=>e.readPixels(0,0,r,a,s.downloadTextureFormat,e.UNSIGNED_BYTE,i)),new Float32Array(i.buffer)}function h4(e,t,n,s,r,a,o,i){let l=e,u=new Float32Array(Mq(a,o));return l.bindBuffer(l.PIXEL_PACK_BUFFER,t),l.getBufferSubData(l.PIXEL_PACK_BUFFER,0,u),l.bindBuffer(l.PIXEL_PACK_BUFFER,null),u}function f4(e,t,n){let s=new Float32Array(t*n*4);return ke(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,s)),s}var c0=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let t=Y().getNumber("WEBGL_VERSION");e!=null?(this.gl=e,t0(t,e)):this.gl=wr(t);let n="WEBGL_color_buffer_float",s="EXT_color_buffer_half_float";if(Y().getNumber("WEBGL_VERSION")===1){let r="OES_texture_float",a="OES_texture_half_float";if(this.textureFloatExtension=Nd(this.gl,r),ks(this.gl,a))this.textureHalfFloatExtension=Nd(this.gl,a);else if(Y().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),ks(this.gl,s))this.colorBufferHalfFloatExtension=Nd(this.gl,s);else if(Y().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",ks(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(ks(this.gl,s))this.
2021-09-11 16:29:31 +02:00
void main ( ) {
setOutput ( vec4 ( getA ( ) , 0. , 0. , 0. ) ) ;
2021-07-29 22:35:16 +02:00
}
2021-09-28 18:01:48 +02:00
` ;else{let n= $ n("rc",t),s=yt(t),r=RK(t,e,n),a=DK(t,e[e.length-1],e[e.length-2],n),o=_K(e,n);this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
2021-09-11 17:17:13 +02:00
$ { s } rc = getOutputCoords ( ) ;
2021-09-11 16:29:31 +02:00
if ( $ { r } ) {
setOutput ( vec4 ( 0 ) ) ;
2021-09-05 22:42:11 +02:00
} else {
2021-09-11 17:17:13 +02:00
$ { a }
2021-09-11 16:29:31 +02:00
2021-09-11 17:17:13 +02:00
setOutput ( vec4 ( $ { o } ) ) ;
2021-09-01 00:24:30 +02:00
}
}
2021-09-28 18:01:48 +02:00
` }}};function EK(e,t){let n=[];for(let s=0;s<=1;s++)for(let r=0;r<=1;r++){let a= ` $ { s === 0 ? "r" : "rp1" } , $ { r === 0 ? "c" : "cp1" } ` ;for(let o=2;o<e;o++)a= ` $ { t [ t . length - 1 - o ] } , ` +a;n.push(a)}return n}function RK(e,t,n){if(e===1)return ` rc > $ { t [ 0 ] } ` ;let s="";for(let r=e-2;r<e;r++)s+= ` $ { n [ r ] } >= $ { t [ r ] } ` ,r<e-1&&(s+="||");return s}function DK(e,t,n,s){if(e===1)return"";let r=s.slice(-2);return `
2021-09-11 16:29:31 +02:00
int r = $ { r [ 0 ] } ;
int c = $ { r [ 1 ] } ;
int rp1 = r + 1 ;
int cp1 = c + 1 ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
bool cEdge = cp1 >= $ { t } ;
bool rEdge = rp1 >= $ { n } ;
2021-09-28 18:01:48 +02:00
` }function _K(e,t){let n=e.length,s=EK(n,t);return n===1? ` getA ( rc ) ,
2021-09-11 16:29:31 +02:00
rc + 1 >= $ { e [ 0 ] } ? 0. : getA ( rc + 1 ) ,
2021-09-11 17:17:13 +02:00
0 , 0 ` : ` getA ( $ { s [ 0 ] } ) ,
cEdge ? 0. : getA ( $ { s [ 1 ] } ) ,
rEdge ? 0. : getA ( $ { s [ 2 ] } ) ,
2021-09-28 18:01:48 +02:00
rEdge || cEdge ? 0. : getA ( $ { s [ 3 ] } ) ` }var x4=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=e,this.enableShapeUniforms=Is(this.outputShape.length);let n="";for(let s=0;s<4;s++){let r="thisRC = rc;";s%2==1&&(r+="thisRC.z += 1;"),s>1&&(r+="thisRC.y += 1;"),n+= `
2021-09-11 16:29:31 +02:00
$ { r }
2021-09-11 17:17:13 +02:00
$ { s > 0 ? "if(thisRC.y < rows && thisRC.z < cols){" : "" }
2021-09-11 16:29:31 +02:00
int flatIndex = getFlatIndex ( thisRC ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
ivec3 inputRC = inputCoordsFromReshapedOutCoords ( flatIndex ) ;
vec2 inputRCInnerDims = vec2 ( float ( inputRC . y ) , float ( inputRC . z ) ) ;
2021-06-07 02:34:29 +02:00
2021-09-11 17:17:13 +02:00
result [ $ { s } ] =
2021-09-11 16:29:31 +02:00
getChannel ( getA ( inputRC . x , inputRC . y , inputRC . z ) , inputRCInnerDims ) ;
2021-09-11 17:17:13 +02:00
$ { s > 0 ? "}" : "" }
2021-09-11 16:29:31 +02:00
` }this.userCode= `
2021-09-28 18:01:48 +02:00
$ { $K ( t , this . enableShapeUniforms ) }
$ { this . enableShapeUniforms ? T2 ( ) : C2 ( e ) }
2021-06-07 02:34:29 +02:00
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec3 rc = getOutputCoords ( ) ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
vec4 result = vec4 ( 0. ) ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
ivec3 thisRC ;
int rows = $ { this . enableShapeUniforms ? "outShape[1]" : e [ 1 ] } ;
int cols = $ { this . enableShapeUniforms ? "outShape[2]" : e [ 2 ] } ;
$ { n }
2021-08-14 17:17:51 +02:00
2021-09-01 00:24:30 +02:00
setOutput ( result ) ;
2021-09-01 00:22:16 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function $ K(e,t){return `
2021-09-11 16:29:31 +02:00
ivec3 inputCoordsFromReshapedOutCoords ( int index ) {
2021-09-28 18:01:48 +02:00
$ { t ? Zq ( [ "r" , "c" , "d" ] , "inputShape" ) : bi ( [ "r" , "c" , "d" ] , e ) }
2021-09-11 16:29:31 +02:00
return ivec3 ( r , c , d ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }var FK=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 s=v4(t,n),r=w4(e,s,n);r in this.freeTextures||(this.freeTextures[r]=[]),r in this.usedTextures||(this.usedTextures[r]=[]);let a=b4(e,s,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[r].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=a,this.log();let i=this.freeTextures[r].shift();return this.usedTextures[r].push(i),i}let o;return s===xn.PACKED_2X2_FLOAT32?o=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):s===xn.PACKED_2X2_FLOAT16?o=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):s===xn.UNPACKED_FLOAT32?o=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):s===xn.UNPACKED_FLOAT16?o=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):s===xn.PACKED_4X1_UNSIGNED_BYTE&&(o=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[r].push(o),this.numUsedTextures++,this._numBytesAllocated+=a,this.log(),o}releaseTexture(e,t,n,s){if(this.freeTextures==null)return;let r=v4(n,s),a=w4(t,r,s);a in this.freeTextures||(this.freeTextures[a]=[]);let o=b4(t,r,this.gpgpu.gl,this.gpgpu.textureConfig,s),i=Y().get("WEBGL_DELETE_TEXTURE_THRESHOLD");i!==-1&&this._numBytesAllocated>i?(this.gpgpu.deleteMatrixTexture(e),this._numBytesAllocated-=o):(this.freeTextures[a].push(e),this.numFreeTextures++,this._numBytesFree+=o),this.numUsedTextures--;let l=this.usedTextures[a],u=l.indexOf(e);if(u<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(u,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 OK(e,t){let n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F)return 16;if(t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;throw new Error( ` Unknown internal format $ { t } ` )}function b4(e,t,n,s,r){let a=PK(t,s),o;if(r){let[l,u]=Su(e[0],e[1]);o=l*u}else{let[l,u]=Td(e[0],e[1]);o=l*u}let i=OK(n,a);return o*i}function PK(e,t){switch(e){case xn.PACKED_2X2_FLOAT32:return _2(t);case xn.PACKED_2X2_FLOAT16:return $ 2(t);case xn.UNPACKED_FLOAT32:return E2(t);case xn.UNPACKED_FLOAT16:return R2(t);case xn.PACKED_4X1_UNSIGNED_BYTE:return D2(t);default:throw new Error( ` Unknown physical texture type $ { e } ` )}}function MK(e){return Y().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?xn.PACKED_2X2_FLOAT32:xn.UNPACKED_FLOAT32:e?xn.PACKED_2X2_FLOAT16:xn.UNPACKED_FLOAT16}function v4(e,t){if(e===ws.UPLOAD)return xn.PACKED_2X2_FLOAT32;if(e===ws.RENDER||e==null)return MK(t);if(e===ws.DOWNLOAD||e===ws.PIXELS)return xn.PACKED_4X1_UNSIGNED_BYTE;throw new Error( ` Unknown logical texture type $ { e } ` )}function w4(e,t,n){return ` $ { e [ 0 ] } _$ { e [ 1 ] } _$ { t } _$ { n } ` }var Ea=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.enableShapeUniforms=Is(this.outputShape.length),this.userCode= `
2021-09-11 16:29:31 +02:00
float unaryOperation ( float x ) {
$ { t }
}
2021-09-01 00:22:16 +02:00
void main ( ) {
2021-09-11 16:29:31 +02:00
float x = getAAtOutCoords ( ) ;
float y = unaryOperation ( x ) ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
setOutput ( y ) ;
}
2021-09-28 18:01:48 +02:00
` }},nr="if (isnan(x)) return x;",zK="return x;",k4="return abs(x);",LK="return (x >= 0.0) ? x : (exp(x) - 1.0);",BK=nr+ `
2021-09-11 16:29:31 +02:00
return ( x < 0.0 ) ? 0.0 : x ;
2021-09-28 18:01:48 +02:00
` ,WK=nr+ `
2021-09-11 16:29:31 +02:00
return ( x < 0.0 ) ? 0.0 : min ( 6.0 , x ) ;
2021-09-28 18:01:48 +02:00
` ,d0="return x;",VK="return 1.0 / (1.0 + exp(-1.0 * x));",UK="return x;",HK= `
2021-09-11 16:29:31 +02:00
vec4 result ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +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 ) ;
2021-07-29 22:35:16 +02:00
2021-09-11 16:29:31 +02:00
return result ;
2021-09-28 18:01:48 +02:00
` ,GK= `
2021-09-11 16:29:31 +02:00
vec4 result = x * vec4 ( greaterThanEqual ( x , vec4 ( 0.0 ) ) ) ;
bvec4 isNaN = isnan ( x ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
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 ;
2021-08-14 17:17:51 +02:00
2021-09-05 22:42:11 +02:00
return result ;
2021-09-28 18:01:48 +02:00
` ,jK= `
2021-09-11 16:29:31 +02:00
vec4 result = min ( x , vec4 ( 6. ) ) * vec4 ( greaterThanEqual ( x , vec4 ( 0.0 ) ) ) ;
bvec4 isNaN = isnan ( x ) ;
2021-09-01 00:22:16 +02:00
2021-09-11 16:29:31 +02:00
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 ;
2021-07-29 22:35:16 +02:00
2021-09-11 16:29:31 +02:00
return result ;
2021-09-28 18:01:48 +02:00
` ,qK="return 1.0 / (1.0 + exp(-1.0 * x));",Du=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=Is(this.outputShape.length),this.userCode= `
2021-09-11 16:29:31 +02:00
vec4 unaryOperation ( vec4 x ) {
$ { t }
}
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
void main ( ) {
vec4 x = getAAtOutCoords ( ) ;
vec4 y = unaryOperation ( x ) ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
setOutput ( y ) ;
}
2021-09-28 18:01:48 +02:00
` }},XK=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e;let t=e.length,n= $ n("rc",t),s=yt(t),r=TK(t,n),a=n.slice(-2),o=t<=1?"rc": ` vec2 ( $ { a . join ( "," ) } ) ` ;this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
2021-09-11 17:17:13 +02:00
$ { s } rc = getOutputCoords ( ) ;
2021-09-11 16:29:31 +02:00
vec4 packedInput = getA ( $ { r } ) ;
2021-08-14 17:17:51 +02:00
2021-09-11 17:17:13 +02:00
setOutput ( getChannel ( packedInput , $ { o } ) ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-28 19:48:29 +02:00
` }},KK=mr.whereImpl,ZK=1e-7,YK=1e-4,p0={};function JK(e){return e in p0||(p0[e]={}),p0[e]}var QK=Y().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),eZ=600;function tZ(){return Y().global.screen==null?1024:Y().global.screen.height*Y().global.screen.width*window.devicePixelRatio*eZ/1024/1024}var _u=class extends lc{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,!Y().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(e==null){let t=wr(Y().getNumber("WEBGL_VERSION"));this.binaryCache=JK(Y().getNumber("WEBGL_VERSION")),this.gpgpu=new c0(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 FK(this.gpgpu),this.numMBBeforeWarning=tZ(),this.texData=new Sp(this,Qn())}nextDataId(){return _u.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}write(e,t,n){if((Y().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||Y().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 s={id:this.nextDataId()};return this.texData.set(s,{shape:t,dtype:n,values:e,usage:ws.UPLOAD,refCount:1}),s}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,s,r){if(Y().getBool("DEBUG")&&this.checkNumericalProblems(t),s==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:s,values:t,usage:ws.UPLOAD,refCount:r})}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}readSync(e){let t=this.texData.get(e),{values:n,dtype:s,complexTensorInfos:r,slice:a,shape:o,isPacked:i}=t;if(a!=null){let d;i?d=new Du(o,d0):d=new Ea(o,d0);let p=this.runWebGLProgram(d,[{dataId:e,shape:o,dtype:s}],s),h=this.readSync(p.dataId);return this.disposeIntermediateTensorInfo(p),h}if(n!=null)return this.convertAndCacheOnCPU(e);if(s==="string")return n;let l=this.activeTimers!=null,u;l&&(u=w.now());let c;if(s==="complex64"){let d=this.readSync(r.real.dataId),p=this.readSync(r.imag.dataId);c=_.mergeRealAndImagArrays(d,p)}else c=this.getValuesFromTexture(e);return l&&(this.downloadWaitMs+=w.now()-u),this.convertAndCacheOnCPU(e,c)}async read(e){if(this.pendingRead.has(e)){let h=this.pendingRead.get(e);return new Promise(f=>h.push(f))}let t=this.texData.get(e),{values:n,shape:s,slice:r,dtype:a,complexTensorInfos:o,isPacked:i}=t;if(r!=null){let h;i?h=new Du(s,d0):h=new Ea(s,d0);let f=this.runWebGLProgram(h,[{dataId:e,shape:s,dtype:a}],a),m=this.read(f.dataId);return this.disposeIntermediateTensorInfo(f),m}if(n!=null)return this.convertAndCacheOnCPU(e);if(!Y().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&Y().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let l=null,u;if(a!=="complex64"&&Y().get("WEBGL_BUFFER_SUPPORTED")){u=this.decode(e);let h=this.texData.get(u.dataId);l=this.gpgpu.createBufferFromTexture(h.texture,...n0(s))}this.pendingRead.set(e,[]),a!=="complex64"&&await this.gpgpu.createAndWaitForFence();let c;if(a==="complex64"){let h=await Promise.all([this.read(o.real.dataId),this.read(o.imag.dataId)]),f=h[0],m=h[1];c=_.mergeRealAndImagArrays(f,m)}else if(l==null)c=this.getValuesFromTexture(e);else{let h=w.sizeFromShape(s);c=this.gpgpu.downloadFloat32MatrixFromBuffer(l,h)}if(u!=null&&this.disposeIntermediateTensorInfo(u),l!=null){let h=this.gpgpu.gl;ke(h,()=>h.deleteBuffer(l))}let d=this.convertAndCacheOnCPU(e,c),p=this.pendingRead.get(e);return this.pendingRead.delete(e),p.forEach(h=>h(d)),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)&&Qn().remo
2021-09-11 16:29:31 +02:00
if ( isnan ( a ) ) return a ;
if ( isnan ( b ) ) return b ;
2021-09-28 18:01:48 +02:00
` , $ u=class{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=_.assertAndGetBroadcastShape(t,n),this.enableShapeUniforms=Is(this.outputShape.length),this.userCode= `
2021-09-11 16:29:31 +02:00
float binaryOperation ( float a , float b ) {
$ { e }
}
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
void main ( ) {
float a = getAAtOutCoords ( ) ;
float b = getBAtOutCoords ( ) ;
setOutput ( binaryOperation ( a , b ) ) ;
}
2021-09-28 18:01:48 +02:00
` }},h0= `
2021-09-11 16:29:31 +02:00
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 ;
2021-09-28 18:01:48 +02:00
` ,_d=class{constructor(e,t,n,s=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=_.assertAndGetBroadcastShape(t,n);let r=this.outputShape.length;this.enableShapeUniforms=Is(r);let a="";if(s)if(r===0||w.sizeFromShape(this.outputShape)===1)a= `
2021-09-11 16:29:31 +02:00
result . y = 0. ;
result . z = 0. ;
result . w = 0. ;
2021-09-11 17:17:13 +02:00
` ;else if(a= `
2021-09-21 22:48:16 +02:00
$ { yt ( r ) } coords = getOutputCoords ( ) ;
2021-09-11 17:17:13 +02:00
` ,r===1)this.enableShapeUniforms?a+= `
2021-09-11 16:29:31 +02:00
result . y = ( coords + 1 ) >= outShape ? 0. : result . y ;
result . z = 0. ;
result . w = 0. ;
2021-09-11 17:17:13 +02:00
` :a+= `
2021-09-11 16:29:31 +02:00
result . y = ( coords + 1 ) >= $ { this . outputShape [ 0 ] } ? 0. : result . y ;
result . z = 0. ;
result . w = 0. ;
2021-09-27 19:58:13 +02:00
` ;else{let i= $ n("coords",r);this.enableShapeUniforms?a+= `
2021-09-11 16:29:31 +02:00
bool nextRowOutOfBounds =
( $ { i [ r - 2 ] } + 1 ) >= outShape [ $ { r } - 2 ] ;
bool nextColOutOfBounds =
( $ { i [ r - 1 ] } + 1 ) >= outShape [ $ { r } - 1 ] ;
result . y = nextColOutOfBounds ? 0. : result . y ;
result . z = nextRowOutOfBounds ? 0. : result . z ;
result . w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result . w ;
2021-09-11 17:17:13 +02:00
` :a+= `
2021-09-11 16:29:31 +02:00
bool nextRowOutOfBounds =
( $ { i [ r - 2 ] } + 1 ) >= $ { this . outputShape [ r - 2 ] } ;
bool nextColOutOfBounds =
( $ { i [ r - 1 ] } + 1 ) >= $ { this . outputShape [ r - 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 }
}
void main ( ) {
vec4 a = getAAtOutCoords ( ) ;
vec4 b = getBAtOutCoords ( ) ;
2021-07-29 22:35:16 +02:00
2021-09-11 16:29:31 +02:00
vec4 result = binaryOperation ( a , b ) ;
2021-09-11 17:17:13 +02:00
$ { a }
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
setOutput ( result ) ;
}
2021-09-28 18:01:48 +02:00
` }};function cs(e){let{inputs:t,backend:n}=e,{x:s}=t;return n.incRef(s.dataId),{dataId:s.dataId,shape:s.shape,dtype:s.dtype}}var aZ={kernelName:uo,backendName:"webgl",kernelFunc:cs};function Ra(e){let{inputs:t,backend:n}=e,{real:s,imag:r}=t,a=n.makeTensorInfo(s.shape,"complex64"),o=n.texData.get(a.dataId),i=cs({inputs:{x:s},backend:n}),l=cs({inputs:{x:r},backend:n});return o.complexTensorInfos={real:i,imag:l},a}var oZ={kernelName: $ p,backendName:"webgl",kernelFunc:Ra},C4="return (a < 0.) ? b * a : a;",T4= `
2021-09-11 16:29:31 +02:00
vec4 aLessThanZero = vec4 ( lessThan ( a , vec4 ( 0. ) ) ) ;
return ( aLessThanZero * ( b * a ) ) + ( ( vec4 ( 1.0 ) - aLessThanZero ) * a ) ;
2021-09-28 18:01:48 +02:00
` ;function iZ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{alpha:a}=s,o=n.makeTensorInfo([],"float32",w.createScalarValue(a,"float32")),i=Y().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new _d(T4,r.shape,o.shape):new $ u(C4,r.shape,o.shape),l=n.runWebGLProgram(i,[r,o],r.dtype);return n.disposeIntermediateTensorInfo(o),l}var lZ={kernelName:co,backendName:"webgl",kernelFunc:iZ},N4="return (a < 0.) ? b * a : a;",E4= `
2021-09-11 16:29:31 +02:00
vec4 aLessThanZero = vec4 ( lessThan ( a , vec4 ( 0. ) ) ) ;
return ( aLessThanZero * ( b * a ) ) + ( ( vec4 ( 1.0 ) - aLessThanZero ) * a ) ;
2021-09-28 18:01:48 +02:00
` ;function uZ(e){let{inputs:t,backend:n}=e,{x:s,alpha:r}=t,a=Y().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new _d(E4,s.shape,r.shape):new $ u(N4,s.shape,r.shape);return n.runWebGLProgram(a,[s,r],s.dtype)}var cZ={kernelName:Io,backendName:"webgl",kernelFunc:uZ},R4="if (isnan(x)) return x;",dZ= `
2021-09-11 16:29:31 +02:00
if ( isnan ( a ) ) return a ;
if ( isnan ( b ) ) return b ;
2021-09-28 18:01:48 +02:00
` ,pZ= `
2021-09-11 16:29:31 +02:00
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 ;
2021-09-28 18:01:48 +02:00
` ;function tt({opSnippet:e,packedOpSnippet:t,cpuKernelImpl:n,dtype:s}){return({inputs:r,backend:a})=>{let{x:o}=r,i=a,l=s||o.dtype;if(i.shouldExecuteOnCPU([o])&&n!=null){let d=i.texData.get(o.dataId),p=n(d.values,l);return i.makeTensorInfo(o.shape,l,p)}let u=Y().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,c;return u?c=new Du(o.shape,t):c=new Ea(o.shape,e),i.runWebGLProgram(c,[o],l)}}function bn({opSnippet:e,packedOpSnippet:t,checkOutOfBounds:n=!1,supportsComplex:s=!1,cpuKernelImpl:r,dtype:a}){return({inputs:o,backend:i})=>{let{a:l,b:u}=o,c=i;if(s&&l.dtype==="complex64"){let f=c.texData.get(l.dataId),m=c.texData.get(u.dataId),[g,A]=[[f.complexTensorInfos.real,m.complexTensorInfos.real],[f.complexTensorInfos.imag,m.complexTensorInfos.imag]].map(x=>{let[b,v]=x,k={dataId:b.dataId,dtype:b.dtype,shape:l.shape},S={dataId:v.dataId,dtype:v.dtype,shape:u.shape},C=new $ u(e,l.shape,u.shape);return c.runWebGLProgram(C,[k,S],Ds(b.dtype,v.dtype))}),y=Ra({inputs:{real:g,imag:A},backend:c});return c.disposeIntermediateTensorInfo(g),c.disposeIntermediateTensorInfo(A),y}let d=a||Ds(l.dtype,u.dtype);if((l.dtype==="string"||u.dtype==="string"||c.shouldExecuteOnCPU([l,u]))&&r!=null){let f=c.texData.get(l.dataId).values,m=c.texData.get(u.dataId).values,g=l.dtype==="string"?_.fromUint8ToStringArray(f):f,A=l.dtype==="string"?_.fromUint8ToStringArray(m):m,[y,x]=r(l.shape,u.shape,g,A,d),b=c.makeTensorInfo(x,d),v=c.texData.get(b.dataId);return v.values=y,b}let p=Y().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,h;return p?h=new _d(t,l.shape,u.shape,n):h=new $ u(e,l.shape,u.shape),c.runWebGLProgram(h,[l,u],d)}}function f0(e,t=!1){if(e==="linear")return t?UK:zK;if(e==="relu")return t?GK:BK;if(e==="elu")return t?HK:LK;if(e==="relu6")return t?jK:WK;if(e==="prelu")return t?E4:N4;if(e==="leakyrelu")return t?T4:C4;if(e==="sigmoid")return t?qK:VK;throw new Error( ` Activation $ { e } has not been implemented for the WebGL backend . ` )}var D4=class{constructor(e,t,n,s=!1,r=!1,a=!1,o=null,i=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n,this.enableShapeUniforms=Is(this.outputShape.length);let u=s?e[1]:e[2],c=Math.ceil(u/2),d=s?"i * 2, rc.y":"rc.y, i * 2",p=r?"rc.z, i * 2":"i * 2, rc.z",h=s?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],f=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],m="",g="";o&&(i?m= ` vec4 activation ( vec4 a ) {
2021-09-11 16:29:31 +02:00
vec4 b = getPreluActivationWeightsAtOutCoords ( ) ;
2021-09-11 17:17:13 +02:00
$ { o }
} ` :l?m= ` vec4 activation ( vec4 a ) {
2021-09-11 16:29:31 +02:00
vec4 b = getLeakyreluAlphaAtOutCoords ( ) ;
2021-09-11 17:17:13 +02:00
$ { o }
} ` :m= ` vec4 activation ( vec4 x ) {
$ { o }
} ` ,g="result = activation(result);");let A=a?"result += getBiasAtOutCoords();":"";a&&this.variableNames.push("bias"),i&&this.variableNames.push("preluActivationWeights"),l&&this.variableNames.push("leakyreluAlpha");let y="rc.x",x="rc.x";e[0]<t[0]?y= ` int ( min ( float ( rc . x ) , $ { e [ 0 ] - 1 } . ) ) ` :t[0]<e[0]&&(x= ` int ( min ( float ( rc . x ) , $ { t [ 0 ] - 1 } . ) ) ` ),this.userCode= `
$ { m }
2021-09-11 16:29:31 +02:00
// Don't use uniform for sharedDimensionPacked for performance.
2021-09-11 17:17:13 +02:00
const float sharedDimension = $ { c } . 0 ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
vec4 dot2x2ARowBCol ( ivec3 rc ) {
vec4 result = vec4 ( 0 ) ;
2021-09-11 17:17:13 +02:00
for ( int i = 0 ; i < $ { c } ; i ++ ) {
2021-09-11 16:29:31 +02:00
int batchA = $ { y } ;
int batchB = $ { x } ;
2021-09-11 17:17:13 +02:00
vec4 a = getMatrixA ( batchA , $ { d } ) ;
2021-09-12 18:42:17 +02:00
vec4 b = getMatrixB ( batchB , $ { p } ) ;
2021-09-11 16:29:31 +02:00
// These swizzled products need to be separately added.
// See: https://github.com/tensorflow/tfjs/issues/1735
2021-09-12 18:42:17 +02:00
result += ( $ { h [ 0 ] } * $ { f [ 0 ] } ) ;
result += ( $ { h [ 1 ] } * $ { f [ 1 ] } ) ;
2021-08-14 17:17:51 +02:00
}
2021-09-11 16:29:31 +02:00
return result ;
2021-09-01 00:22:16 +02:00
}
2021-09-01 00:24:30 +02:00
2021-08-14 17:17:51 +02:00
void main ( ) {
2021-09-11 16:29:31 +02:00
ivec3 rc = getOutputCoords ( ) ;
vec4 result = dot2x2ARowBCol ( rc ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
$ { A }
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
$ { g }
2021-09-01 00:22:16 +02:00
2021-09-11 16:29:31 +02:00
setOutput ( result ) ;
}
2021-09-28 18:01:48 +02:00
` }},_4={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"}, $ 4=class{constructor(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=_.assertAndGetBroadcastShape(t,n),this.userCode= `
2021-09-11 16:29:31 +02:00
float binaryOpComplex (
float areal , float aimag , float breal , float bimag ) {
$ { e }
}
2021-09-05 22:42:11 +02:00
2021-09-11 16:29:31 +02:00
void main ( ) {
float areal = getARealAtOutCoords ( ) ;
float aimag = getAImagAtOutCoords ( ) ;
float breal = getBRealAtOutCoords ( ) ;
float bimag = getBImagAtOutCoords ( ) ;
setOutput ( binaryOpComplex ( areal , aimag , breal , bimag ) ) ;
}
2021-09-28 18:01:48 +02:00
` }},F4="return a * b;";function O2(e){let{inputs:t,backend:n}=e,{a:s,b:r}=t,a=_.upcastType(s.dtype,r.dtype);if(s.dtype==="complex64"){let i=n.texData.get(s.dataId),l=n.texData.get(r.dataId),u=new $ 4(_4.REAL,s.shape,r.shape),c=new $ 4(_4.IMAG,s.shape,r.shape),d=[{dataId:i.complexTensorInfos.real.dataId,dtype:i.complexTensorInfos.real.dtype,shape:s.shape},{dataId:i.complexTensorInfos.imag.dataId,dtype:i.complexTensorInfos.imag.dtype,shape:s.shape},{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:r.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:r.shape}],p=n.runWebGLProgram(u,d,"float32"),h=n.runWebGLProgram(c,d,"float32"),f=Ra({inputs:{real:p,imag:h},backend:n});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h),f}if(n.shouldExecuteOnCPU([s,r])){let i=n.texData.get(s.dataId),l=n.texData.get(r.dataId),[u,c]=lK(s.shape,r.shape,i.values,l.values,a),d=n.makeTensorInfo(c,a),p=n.texData.get(d.dataId);return p.values=u,d}let o;return Y().getBool("WEBGL_PACK_BINARY_OPERATIONS")?o=new _d(F4,s.shape,r.shape):o=new $ u(F4,s.shape,r.shape),n.runWebGLProgram(o,[s,r],a)}var hZ={kernelName:bo,backendName:"webgl",kernelFunc:O2};function fZ(e,t,n){let s=[yi(e.shape),...xi(e.shape)],r={dtype:e.dtype,shape:s,dataId:e.dataId},a=[yi(t),...xi(t)],o=new x4(a,s),i=!0,l=[s],u=n.runWebGLProgram(o,[r],e.dtype,l,i);return{dataId:u.dataId,shape:t,dtype:u.dtype}}function be(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{shape:a}=s,o=n,i=w.sizeFromShape(r.shape),l=w.inferFromImplicitShape(a,i),u=w.sizeFromShape(l);w.assert(i===u,()=> ` The new shape ( $ { l } ) has $ { u } elements and the old shape ( $ { r . shape } ) has $ { i } elements . The new shape and old shape must have the same number of elements . ` );let c=o.texData.get(r.dataId);return c.isPacked&&!Rd(r.shape,l)&&!(c.texture!==null&&Rd(c.shape,l))?fZ(r,l,o):(o.incRef(r.dataId),{dataId:r.dataId,shape:l,dtype:r.dtype})}var mZ={kernelName:Rl,backendName:"webgl",kernelFunc:be},O4=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:s,inSize:r,outSize:a}=e;this.outputShape=[s,a];let o=Math.floor(n/4)*4,i=n%4,l="sumValue += dot(values, ones);";if(t!=null){let c=1/t;l= ` sumValue += dot ( values * $ { w . isInt ( c ) ? c . toPrecision ( 2 ) : c } , ones ) ; ` }let u="";r%n>0&&(u= `
2021-09-11 16:29:31 +02:00
if ( inIdx < 0 || inIdx >= $ { r } ) {
return 0.0 ;
}
` ),this.userCode= `
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
2021-09-01 00:22:16 +02:00
2021-09-11 16:29:31 +02:00
float getValue ( int batch , int inIdx ) {
$ { u }
return getX ( batch , inIdx ) ;
}
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = outIdx * $ { n } ;
2021-09-01 00:22:16 +02:00
2021-09-11 16:29:31 +02:00
float sumValue = 0.0 ;
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
for ( int i = 0 ; i < $ { o } ; i += 4 ) {
2021-09-11 16:29:31 +02:00
int inIdx = inOffset + i ;
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
$ { l }
}
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
int inIdx = inOffset + $ { o } ;
if ( $ { i === 1 } ) {
2021-09-11 16:29:31 +02:00
vec4 values = vec4 ( getValue ( batch , inIdx ) , 0.0 , 0.0 , 0.0 ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
$ { l }
2021-09-11 17:17:13 +02:00
} else if ( $ { i === 2 } ) {
2021-09-11 16:29:31 +02:00
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) , 0.0 , 0.0 ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
$ { l }
2021-09-11 17:17:13 +02:00
} else if ( $ { i === 3 } ) {
2021-09-11 16:29:31 +02:00
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) , 0.0 ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
$ { l }
2021-09-01 00:24:30 +02:00
}
2021-09-11 16:29:31 +02:00
setOutput ( sumValue ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }},gZ=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:s,inSize:r,outSize:a}=e;this.outputShape=[s,a];let o="0.0",i="";t==="prod"?o="1.0":t==="min"?(o="1.0 / 1e-20",i="min"):t==="max"&&(o="-1.0 / 1e-20",i="max");let l= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="sum"?l="sumValue":t==="prod"?l="prodValue":t==="all"?l="allValue":t==="any"&&(l="anyValue");let u=Math.floor(n/4)*4,c=n%4,d= `
2021-09-11 16:29:31 +02:00
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 ] ;
2021-09-05 22:42:11 +02:00
} else {
2021-09-11 17:17:13 +02:00
minMaxValue = $ { i } ( values , minMaxValue ) ;
2021-09-11 16:29:31 +02:00
if ( $ { t === "min" } || $ { t === "max" } ) {
2021-09-11 17:17:13 +02:00
minMaxValue = $ { i } ( values , minMaxValue ) ;
2021-09-11 16:29:31 +02:00
bvec4 isNaN = isnan ( values ) ;
if ( isNaN . r || isNaN . g || isNaN . b || isNaN . a ) {
minMaxValue = vec4 ( NAN ) ;
2021-09-05 22:42:11 +02:00
}
}
2021-09-01 00:24:30 +02:00
}
2021-09-12 18:42:17 +02:00
` ,p="vec4";t==="all"?(o="1.0",d= `
2021-09-11 16:29:31 +02:00
bool reducedAllValue = all ( values ) ;
float floatedReducedAllValue = float ( reducedAllValue ) ;
allValue = float ( allValue >= 1.0 && floatedReducedAllValue >= 1.0 ) ;
2021-09-12 18:42:17 +02:00
` ,p="bvec4"):t==="any"&&(o="0.0",d= `
2021-09-11 16:29:31 +02:00
bool reducedAnyValue = any ( values ) ;
float floatedReducedAnyValue = float ( reducedAnyValue ) ;
anyValue = float ( anyValue >= 1.0 || floatedReducedAnyValue >= 1.0 ) ;
2021-09-12 18:42:17 +02:00
` ,p="bvec4");let h="";r%n>0&&(h= `
2021-09-11 16:29:31 +02:00
if ( inIdx < 0 || inIdx >= $ { r } ) {
return initializationValue ;
}
` ),this.userCode= `
2021-09-11 17:17:13 +02:00
const float initializationValue = $ { o } ;
2021-09-11 16:29:31 +02:00
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
float getValue ( int batch , int inIdx ) {
2021-09-12 18:42:17 +02:00
$ { h }
2021-09-11 16:29:31 +02:00
return getX ( batch , inIdx ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
2021-09-05 22:42:11 +02:00
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
2021-09-01 00:24:30 +02:00
int batch = coords [ 0 ] ;
2021-09-11 16:29:31 +02:00
int outIdx = coords [ 1 ] ;
int inOffset = outIdx * $ { n } ;
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
vec4 minMaxValue = vec4 ( $ { o } ) ;
2021-09-11 16:29:31 +02:00
float prodValue = 1.0 ;
float sumValue = 0.0 ;
float allValue = 1.0 ;
float anyValue = 0.0 ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
for ( int i = 0 ; i < $ { u } ; i += 4 ) {
int inIdx = inOffset + i ;
2021-09-12 18:42:17 +02:00
$ { p } values = $ { p } (
2021-09-11 16:29:31 +02:00
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
$ { d }
2021-09-05 22:42:11 +02:00
}
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
int inIdx = inOffset + $ { u } ;
2021-09-11 17:17:13 +02:00
if ( $ { c === 1 } ) {
2021-09-12 18:42:17 +02:00
$ { p } values = $ { p } (
2021-09-11 16:29:31 +02:00
getValue ( batch , inIdx ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
$ { d }
} else if ( $ { c === 2 } ) {
2021-09-12 18:42:17 +02:00
$ { p } values = $ { p } (
2021-09-11 16:29:31 +02:00
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
initializationValue ,
initializationValue
) ;
2021-09-11 17:17:13 +02:00
$ { d }
} else if ( $ { c === 3 } ) {
2021-09-12 18:42:17 +02:00
$ { p } values = $ { p } (
2021-09-11 16:29:31 +02:00
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
initializationValue
) ;
2021-09-11 17:17:13 +02:00
$ { d }
2021-09-11 16:29:31 +02:00
}
setOutput ( $ { l } ) ;
}
2021-09-28 18:01:48 +02:00
` }};function AZ(e){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let n=t.length?t[t.length-1].outSize:e[1],s=_.computeOptimalWindowSize(n);t.push({inSize:n,windowSize:s,outSize:Math.ceil(n/s)})}return t}function wi(e,t,n,s){let r=AZ(e.shape),a=e;for(let o=0;o<r.length;o++){let{inSize:i,windowSize:l,outSize:u}=r[o],c,d;n==="mean"?c=o===0?new O4({windowSize:l,inSize:i,batchSize:e.shape[0],outSize:u},i):new O4({windowSize:l,inSize:i,batchSize:e.shape[0],outSize:u}):c=new gZ({windowSize:l,inSize:i,batchSize:e.shape[0],outSize:u},n),d=a,a=s.runWebGLProgram(c,[a],t),d.dataId!==e.dataId&&s.disposeIntermediateTensorInfo(d)}return a}var yZ=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 s=yt(this.rank),r=xZ(t);this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
2021-09-11 17:17:13 +02:00
$ { s } resRC = getOutputCoords ( ) ;
2021-09-11 16:29:31 +02:00
setOutput ( getA ( $ { r } ) ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function xZ(e){let t=e.length;if(t>6)throw Error( ` Transpose for rank $ { t } is not yet supported ` );let n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],s=new Array(t);for(let r=0;r<e.length;r++)s[e[r]]=n[r];return s.join()}var bZ=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;let n=new Array(e.length);for(let u=0;u<n.length;u++)n[u]=e[t[u]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error( ` Packed transpose for rank $ { this . rank } is not yet supported . ` );let s=yt(this.rank),r=y4("rc",this.rank),a=new Array(this.rank);for(let u=0;u<t.length;u++)a[t[u]]=r[u];let o= ` vec2 ( $ { a . slice ( - 2 ) . join ( ) } ) ` ,i= ` ++ $ { r [ this . rank - 1 ] } < $ { n [ this . rank - 1 ] } ` ,l= ` getChannel ( getA ( $ { a . join ( ) } ) , $ { o } ) ` ;this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
2021-09-11 17:17:13 +02:00
$ { s } rc = getOutputCoords ( ) ;
2021-09-11 16:29:31 +02:00
vec4 result = vec4 ( 0. ) ;
result [ 0 ] = $ { l } ;
2021-09-11 17:17:13 +02:00
if ( $ { i } ) {
2021-09-11 16:29:31 +02:00
result [ 1 ] = $ { l } ;
}
-- $ { r [ this . rank - 1 ] } ;
if ( ++ $ { r [ this . rank - 2 ] } < $ { n [ this . rank - 2 ] } ) {
result [ 2 ] = $ { l } ;
2021-09-11 17:17:13 +02:00
if ( $ { i } ) {
2021-09-11 16:29:31 +02:00
result [ 3 ] = $ { l } ;
}
}
setOutput ( result ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function m0(e,t,n){let s=Y().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new bZ(e.shape,t):new yZ(e.shape,t);return n.runWebGLProgram(s,[e],e.dtype)}function vZ(e,t,n,s){let r=t,a=e.shape.length,o=w.parseAxisParam(r,e.shape),i=o,l=_.getAxesPermutation(i,a),u=l!=null,c=e;u&&(c=m0(e,l,s),i=_.getInnerMostAxes(i.length,a)),_.assertAxesAreInnerMostDims("sum",i,a);let[d,p]=_.computeOutAndReduceShapes(c.shape,i),h=d;n&&(h=_.expandShapeToKeepDim(d,o));let f=w.sizeFromShape(p),g=w.sizeFromShape(e.shape)/f,A=be({inputs:{x:c},attrs:{shape:[g,f]},backend:s}),y=yh(e.dtype),x=wi(A,y,"sum",s),b=be({inputs:{x},attrs:{shape:h},backend:s});return s.disposeIntermediateTensorInfo(A),s.disposeIntermediateTensorInfo(x),u&&s.disposeIntermediateTensorInfo(c),b}function g0(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a,keepDims:o}=s;return vZ(r,a,o,n)}var wZ={kernelName:Fo,backendName:"webgl",kernelFunc:g0};function Fn(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{perm:a}=s,o=n,i=r.shape.length,l=new Array(i);for(let c=0;c<l.length;c++)l[c]=r.shape[a[c]];let u;if(o.shouldExecuteOnCPU([r])){let d=o.texData.get(r.dataId).values,p=F2(d,r.shape,r.dtype,a,l);u=o.makeTensorInfo(l,r.dtype);let h=o.texData.get(u.dataId);h.values=p}else u=m0(r,a,o);return u}var kZ={kernelName:Bo,backendName:"webgl",kernelFunc:Fn},P4=1e3;function A0({a:e,b:t,transposeA:n,transposeB:s,backend:r,bias:a=null,preluActivationWeights:o=null,leakyreluAlpha:i=0,activation:l=null}){let u=e.shape.length,c=t.shape.length,d=n?e.shape[u-2]:e.shape[u-1],p=s?t.shape[c-1]:t.shape[c-2],h=n?e.shape[u-1]:e.shape[u-2],f=s?t.shape[c-2]:t.shape[c-1],m=e.shape.slice(0,-2),g=t.shape.slice(0,-2),A=w.sizeFromShape(m),y=w.sizeFromShape(g),x=A===y||A===1||y===1;w.assert(u>=2&&c>=2&&x,()=> ` 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 ( $ { m } ) and ( $ { g } ) . ` );let v=(A>y?e.shape.slice(0,-2):t.shape.slice(0,-2)).concat([h,f]);w.assert(d===p,()=> ` Error in matMul : inner shapes ( $ { d } ) and ( $ { p } ) of Tensors with shapes $ { e . shape } and $ { t . shape } and transposeA = $ { n } and transposeB = $ { s } must match . ` );let k=n?[A,d,h]:[A,h,d],S=s?[y,f,p]:[y,p,f],C=be({inputs:{x:e},backend:r,attrs:{shape:k}}),D=be({inputs:{x:t},backend:r,attrs:{shape:S}}),O=[C,D],E=Math.max(A,y),R=n?C.shape[1]:C.shape[2],T=a!=null,P=o!=null,U=l==="leakyrelu",j=l!=null?f0(l,!0):null,q=T||P||U||j!=null,X;if((h===1||f===1)&&R>P4&&q===!1){let ne=C,se=D;n&&(ne=Fn({inputs:{x:C},backend:r,attrs:{perm:[0,2,1]}}),O.push(ne)),s&&(se=Fn({inputs:{x:D},backend:r,attrs:{perm:[0,2,1]}}),O.push(se));let ae=f!==1,Q=f===1,ce=ne;ae&&(ce=be({inputs:{x:ne},backend:r,attrs:{shape:[E,R,1]}}),O.push(ce));let de=f===1?2:1,fe=se;Q&&(fe=be({inputs:{x:se},backend:r,attrs:{shape:[E,1,R]}}),O.push(fe));let xe=O2({inputs:{a:ce,b:fe},backend:r});X=g0({inputs:{x:xe},backend:r,attrs:{axis:de,keepDims:!0}}),O.push(xe)}else{let ne=Ds(e.dtype,t.dtype),se=new D4(k,S,[E,h,f],n,s,T,j,P,U),ae=[C,D];if(a!=null&&ae.push(a),P&&ae.push(o),U){let Q=r.makeTensorInfo([],"float32",w.createScalarValue(i,"float32"));ae.push(Q),O.push(Q)}X=r.runWebGLProgram(se,ae,ne)}let te=be({inputs:{x:X},backend:r,attrs:{shape:v}});O.push(X);for(let ne of O)r.disposeIntermediateTensorInfo(ne);return te}function IZ(e){let{inputs:t,backend:n,attrs:s}=e,{a:r,b:a,bias:o,preluActivationWeights:i}=t,{transposeA:l,transposeB:u,activation:c,leakyreluAlpha:d}=s;return A0({a:r,b:a,transposeA:l,transposeB:u,backend:n,bias:o,preluActivationWeights:i,leakyreluAlpha:d,activation:c})}var SZ={kernelName:Wo,backendName:"webgl",kernelFunc:IZ},M4="return abs(x);";function CZ(e){let{inputs:t,backend:n}=e,{x:s}=t;if(n.shouldExecuteOnCPU([s])&&s.dtype!=="complex64"){let a=n.texData.get(s.dataId),o=g4(a.values);return n.makeTensorInfo(s.shape,s.dtype,o)}let r;return Y().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new Du(s.shape,M4):r=new Ea(s.shape,M4),n.runWebGLProgram(r,[s],s.dtype)}var TZ={kernelName:Gi,backendName:"webgl",kernelFunc:CZ},NZ=nr+ `
2021-09-11 16:29:31 +02:00
if ( abs ( x ) > 1. ) {
return NAN ;
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
return acos ( x ) ;
2021-09-28 18:01:48 +02:00
` ,EZ=tt({opSnippet:NZ}),RZ={kernelName:ji,backendName:"webgl",kernelFunc:EZ},DZ=nr+ `
2021-09-11 16:29:31 +02:00
if ( x < 1.0 ) return NAN ;
2021-09-28 18:01:48 +02:00
return log ( x + sqrt ( x * x - 1.0 ) ) ; ` ,_Z=tt({opSnippet:DZ}), $ Z={kernelName:qi,backendName:"webgl",kernelFunc:_Z},z4="return a + b;",FZ=bn({opSnippet:z4,packedOpSnippet:z4,supportsComplex:!0,cpuKernelImpl:UX}),OZ={kernelName:aa,backendName:"webgl",kernelFunc:FZ},PZ=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((r,a)=> ` T$ { a } ` );let n=[];this.variableNames.forEach(r=>{n.push( ` float v$ { r } = get$ { r } AtOutCoords ( ) ; ` )});let s=this.variableNames.map(r=> ` v$ { r } ` ).join(" + ");this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
$ { n . join ( `
` )}
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
float result = $ { s } ;
2021-09-11 16:29:31 +02:00
setOutput ( result ) ;
2021-09-01 00:24:30 +02:00
}
2021-09-28 18:01:48 +02:00
` }},MZ=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((r,a)=> ` T$ { a } ` );let n=[];this.variableNames.forEach(r=>{n.push( ` vec4 v$ { r } = get$ { r } AtOutCoords ( ) ; ` )});let s=this.variableNames.map(r=> ` v$ { r } ` ).join(" + ");this.userCode= `
2021-09-05 22:42:11 +02:00
void main ( ) {
2021-09-11 16:29:31 +02:00
$ { n . join ( `
` )}
2021-09-11 17:17:13 +02:00
vec4 result = $ { s } ;
2021-09-11 16:29:31 +02:00
setOutput ( result ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function y0(e){let{inputs:t,backend:n}=e,s=t;if(s.length===1)return cs({inputs:{x:s[0]},backend:n});if(s.length>Y().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let l=Math.floor(s.length/2),u=y0({inputs:s.slice(0,l),backend:n}),c=y0({inputs:s.slice(l),backend:n});return y0({inputs:[u,c],backend:n})}let r=s.map(l=>l.dtype).reduce((l,u)=>Ds(l,u)),a=s.map(l=>l.shape),i=Y().getBool("WEBGL_PACK")?new MZ(s[0].shape,a):new PZ(s[0].shape,a);return n.runWebGLProgram(i,s,r)}var zZ={kernelName:Ha,backendName:"webgl",kernelFunc:y0};function LZ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a,keepDims:o}=s,i=r.shape.length,l=w.parseAxisParam(a,r.shape),u=l,c=_.getAxesPermutation(u,i),d=r;c!=null&&(d=Fn({inputs:{x:r},backend:n,attrs:{perm:c}}),u=_.getInnerMostAxes(u.length,i)),_.assertAxesAreInnerMostDims("all",u,i);let[p,h]=_.computeOutAndReduceShapes(d.shape,u),f=w.sizeFromShape(h),m=be({inputs:{x:d},backend:n,attrs:{shape:[-1,f]}}),g=wi(m,m.dtype,"all",n),A;if(o){let y=_.expandShapeToKeepDim(p,l);A=be({inputs:{x:g},backend:n,attrs:{shape:y}})}else A=be({inputs:{x:g},backend:n,attrs:{shape:p}});return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(g),c!=null&&n.disposeIntermediateTensorInfo(d),A}var BZ={kernelName:Xi,backendName:"webgl",kernelFunc:LZ};function WZ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a,keepDims:o}=s,i=r.shape.length,l=w.parseAxisParam(a,r.shape),u=l,c=_.getAxesPermutation(u,i),d=r;c!=null&&(d=Fn({inputs:{x:r},backend:n,attrs:{perm:c}}),u=_.getInnerMostAxes(u.length,i)),_.assertAxesAreInnerMostDims("any",u,i);let[p,h]=_.computeOutAndReduceShapes(d.shape,u),f=w.sizeFromShape(h),m=be({inputs:{x:d},backend:n,attrs:{shape:[-1,f]}}),g=wi(m,m.dtype,"any",n),A;if(o){let y=_.expandShapeToKeepDim(p,l);A=be({inputs:{x:g},backend:n,attrs:{shape:y}})}else A=be({inputs:{x:g},backend:n,attrs:{shape:p}});return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(g),c!=null&&n.disposeIntermediateTensorInfo(d),A}var VZ={kernelName:Ki,backendName:"webgl",kernelFunc:WZ},UZ=class{constructor(e,t,n){this.variableNames=["A"];let{windowSize:s,batchSize:r,outSize:a}=e;n||this.variableNames.push("bestIndicesA"),this.outputShape=[r,a];let o=t==="max"?">":"<",i=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
2021-09-11 17:17:13 +02:00
int inOffset = outIdx * $ { s } ;
2021-09-11 16:29:31 +02:00
int bestIndex = inOffset ;
float bestValue = getA ( batch , bestIndex ) ;
2021-09-11 17:17:13 +02:00
for ( int i = 0 ; i < $ { s } ; i ++ ) {
int inIdx = $ { i } ;
2021-09-11 16:29:31 +02:00
float candidate = getA ( batch , inIdx ) ;
2021-09-11 17:17:13 +02:00
if ( candidate $ { o } bestValue ) {
2021-09-11 16:29:31 +02:00
bestValue = candidate ;
bestIndex = inIdx ;
}
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
setOutput ( float ( bestIndex ) ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }},HZ=class{constructor(e,t,n,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,w.assert(e.length>2,()=> ` Packed arg$ { n . charAt ( 0 ) . toUpperCase ( ) + n . slice ( 1 ) } supports only inputs with rank above 2. ` );let r=e[e.length-1],a=Math.ceil(r/t);this.outputShape=e.slice(0,-1),a>1&&this.outputShape.push(a),s||this.variableNames.push("bestIndicesA");let o=this.outputShape,i=o.length,l=yt(i),u= $ n("coords",i),c,d;if(a===1){d=i+1;let S=yt(d);c= `
2021-09-11 17:17:13 +02:00
$ { S } sourceLocR = $ { S } ( $ { u . join ( ) } , 0 ) ;
++ $ { u [ i - 1 ] } ;
$ { S } sourceLocG = $ { S } ( $ { u . join ( ) } , 0 ) ;
++ $ { u [ i - 2 ] } ;
$ { S } sourceLocA = $ { S } ( $ { u . join ( ) } , 0 ) ;
-- $ { u [ i - 1 ] } ;
$ { S } sourceLocB = $ { S } ( $ { u . join ( ) } , 0 ) ;
-- $ { u [ i - 2 ] } ; ` }else d=i,c= `
2021-09-11 16:29:31 +02:00
$ { l } sourceLocR = coords ;
2021-09-11 17:17:13 +02:00
++ $ { u [ i - 1 ] } ;
2021-09-11 16:29:31 +02:00
$ { l } sourceLocG = coords ;
2021-09-11 17:17:13 +02:00
++ $ { u [ i - 2 ] } ;
2021-09-11 16:29:31 +02:00
$ { l } sourceLocA = coords ;
2021-09-11 17:17:13 +02:00
-- $ { u [ i - 1 ] } ;
2021-09-11 16:29:31 +02:00
$ { l } sourceLocB = coords ;
2021-09-27 19:58:13 +02:00
-- $ { u [ i - 2 ] } ; ` ;let p=["x","y","z","w","u","v"].slice(0,d),h="."+p[d-1],f=p.map(S=>"int "+S),m= $ n("sourceLocR",d-1).concat("inIdx.r"),g= $ n("sourceLocG",d-1).concat("inIdx.g"),A= $ n("sourceLocB",d-1).concat("inIdx.b"),y= $ n("sourceLocA",d-1).concat("inIdx.a"),x=n==="max"?"greaterThan":"lessThan",b=s?"": `
2021-09-11 17:17:13 +02:00
inIdx = round ( vec4 ( getBestIndicesAChannel ( $ { m . join ( ) } ) ,
2021-09-11 16:29:31 +02:00
getBestIndicesAChannel ( $ { g . join ( ) } ) ,
getBestIndicesAChannel ( $ { A . join ( ) } ) ,
2021-09-11 17:17:13 +02:00
getBestIndicesAChannel ( $ { y . join ( ) } ) ) ) ; ` ,v= ` vec4 (
getAChannel ( $ { m . join ( ) } ) ,
2021-09-11 16:29:31 +02:00
hasNextCol ? getAChannel ( $ { g . join ( ) } ) : 0. ,
hasNextRow ? getAChannel ( $ { A . join ( ) } ) : 0. ,
2021-09-11 17:17:13 +02:00
hasNextRow && hasNextCol ? getAChannel ( $ { y . join ( ) } ) : 0. ) ` ,k=s?"": `
float getBestIndicesAChannel ( $ { f . join ( ) } ) {
2021-09-12 18:42:17 +02:00
return getChannel ( getBestIndicesA ( $ { p . join ( ) } ) ,
vec2 ( $ { p . slice ( - 2 ) . join ( ) } ) ) ;
2021-09-11 16:29:31 +02:00
} ` ;this.userCode= `
2021-09-11 17:17:13 +02:00
float getAChannel ( $ { f . join ( ) } ) {
2021-09-12 18:42:17 +02:00
return getChannel ( getA ( $ { p . join ( ) } ) ,
vec2 ( $ { p . slice ( - 2 ) . join ( ) } ) ) ;
2021-09-11 16:29:31 +02:00
}
$ { k }
2021-09-05 22:42:11 +02:00
void main ( ) {
2021-09-11 16:29:31 +02:00
$ { l } coords = getOutputCoords ( ) ;
2021-09-11 17:17:13 +02:00
bool hasNextCol = $ { u [ i - 1 ] } < $ { o [ i - 1 ] - 1 } ;
bool hasNextRow = $ { u [ i - 2 ] } < $ { o [ i - 2 ] - 1 } ;
$ { c }
2021-09-12 18:42:17 +02:00
ivec4 srcIdx = ivec4 ( sourceLocR$ { h } , sourceLocG$ { h } ,
sourceLocB$ { h } , sourceLocA$ { h } ) * $ { t } ;
2021-09-11 16:29:31 +02:00
ivec4 inIdx = srcIdx ;
vec4 bestIndex = vec4 ( inIdx ) ;
2021-09-11 17:17:13 +02:00
vec4 bestValue = $ { v } ;
2021-09-11 16:29:31 +02:00
for ( int i = 0 ; i < $ { t } ; i ++ ) {
inIdx = srcIdx ;
2021-09-11 17:17:13 +02:00
$ { b }
vec4 candidate = $ { v } ;
2021-09-11 16:29:31 +02:00
bvec4 nan = isnan ( candidate ) ;
bvec4 replace = bvec4 (
vec4 ( $ { x } ( 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 ++ ;
}
setOutput ( bestIndex ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function L4(e,t,n,s=null){let r=t.shape[0],a=t.shape[1];s!=null&&(r=s.shape[0],a=s.shape[1]);let o=_.computeOptimalWindowSize(a),i={windowSize:o,inSize:a,batchSize:r,outSize:Math.ceil(a/o)},l=new UZ(i,n,s==null),u=[t];s!=null&&u.push(s);let c=e.runWebGLProgram(l,u,"int32");if(c.shape[1]===1)return c;let d=L4(e,t,n,c);return e.disposeIntermediateTensorInfo(c),d}function B4(e,t,n,s=null){let r=s!=null?s.shape:t.shape,a=r[r.length-1],o=_.computeOptimalWindowSize(a),i=new HZ(r,o,n,s==null),l=s==null?[t]:[t,s],u=e.runWebGLProgram(i,l,"int32");if(u.shape.length===t.shape.length){let c=B4(e,t,n,u);return e.disposeIntermediateTensorInfo(u),c}return u}function W4(e,t,n,s){let r=[n];if(_.assertAxesAreInnerMostDims("arg"+s.charAt(0).toUpperCase()+s.slice(1),r,t.shape.length),!Y().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let a=[],o=e.texData.get(t.dataId),i=o!==null&&o.isPacked,l=t;i&&(l=e.unpackTensor(t),a.push(l));let[u,c]=_.computeOutAndReduceShapes(l.shape,r),d=w.sizeFromShape(c),p=be({inputs:{x:l},backend:e,attrs:{shape:[-1,d]}});a.push(p);let h=L4(e,p,s);a.push(h);let f=be({inputs:{x:h},backend:e,attrs:{shape:u}});return a.forEach(m=>e.disposeIntermediateTensorInfo(m)),f}return B4(e,t,s)}function GZ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a}=s,o=w.parseAxisParam(a,r.shape),i=_.getAxesPermutation(o,r.shape.length),l=r,u=[];i!=null&&(l=Fn({inputs:{x:r},backend:n,attrs:{perm:i}}),u.push(l),o=_.getInnerMostAxes(o.length,l.shape.length)),_.assertAxesAreInnerMostDims("argMax",[o[0]],l.shape.length);let c=W4(n,l,o[0],"max");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),c}var jZ={kernelName:Ga,backendName:"webgl",kernelFunc:GZ};function qZ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a}=s,o=w.parseAxisParam(a,r.shape),i=_.getAxesPermutation(o,r.shape.length),l=r,u=[];i!=null&&(l=Fn({inputs:{x:r},backend:n,attrs:{perm:i}}),u.push(l),o=_.getInnerMostAxes(o.length,l.shape.length)),_.assertAxesAreInnerMostDims("argMin",[o[0]],l.shape.length);let c=W4(n,l,o[0],"min");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),c}var XZ={kernelName:dc,backendName:"webgl",kernelFunc:qZ},KZ=nr+ `
2021-09-11 16:29:31 +02:00
if ( abs ( x ) > 1. ) {
2021-09-05 22:42:11 +02:00
return NAN ;
}
2021-09-11 16:29:31 +02:00
return asin ( x ) ;
2021-09-28 18:01:48 +02:00
` ,ZZ=tt({opSnippet:KZ}),YZ={kernelName:Zi,backendName:"webgl",kernelFunc:ZZ},JZ=nr+"return log(x + sqrt(x * x + 1.0));",QZ=tt({opSnippet:JZ}),eY={kernelName:Yi,backendName:"webgl",kernelFunc:QZ},tY=nr+ `
2021-09-11 16:29:31 +02:00
return atan ( x ) ;
2021-09-28 18:01:48 +02:00
` ,nY=tt({opSnippet:tY}),sY={kernelName:Ji,backendName:"webgl",kernelFunc:nY},rY=dZ+ `
2021-09-11 16:29:31 +02:00
return atan ( a , b ) ;
2021-09-28 18:01:48 +02:00
` ,aY= `
2021-09-11 16:29:31 +02:00
vec4 result = atan ( a , b ) ;
vec4 isNaN = min ( vec4 ( isnan ( a ) ) + vec4 ( isnan ( b ) ) , vec4 ( 1.0 ) ) ;
2021-09-28 18:01:48 +02:00
` +pZ+ `
2021-09-11 16:29:31 +02:00
return result ;
2021-09-28 18:01:48 +02:00
` ,oY=bn({opSnippet:rY,packedOpSnippet:aY}),iY={kernelName:el,backendName:"webgl",kernelFunc:oY},lY=nr+ `
2021-09-11 16:29:31 +02:00
if ( ( x < - 1.0 ) || ( x > 1.0 ) ) return NAN ;
2021-09-28 18:01:48 +02:00
return ( log ( 1.0 + x ) - log ( 1.0 - x ) ) / 2.0 ; ` ,uY=tt({opSnippet:lY}),cY={kernelName:Qi,backendName:"webgl",kernelFunc:uY}, $ d=class{constructor(e,t,n,s=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let a=e.filterWidth,o=e.strideHeight,i=e.strideWidth,l=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterHeight,d=e.effectiveFilterWidth,p=e.padInfo.top,h=e.padInfo.left;this.outputShape=e.outShape;let f=t==="avg",m= ` ( ( batch * $ { e . inHeight } + xR ) * $ { e . inWidth } + xC ) * $ { e . inChannels } + d ` ,g= ` ( xR * $ { e . inWidth } + xC ) * $ { e . inChannels } + d ` ,A="0.0";if(f||(A="-1.0 / 1e-20"),n){let S=">=";this.userCode= `
2021-09-11 17:17:13 +02:00
const ivec2 strides = ivec2 ( $ { o } , $ { i } ) ;
2021-09-12 18:42:17 +02:00
const ivec2 pads = ivec2 ( $ { p } , $ { h } ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d = coords [ 3 ] ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
ivec2 xRCCorner = coords . yz * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
// 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 ;
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
for ( int wR = 0 ; wR < $ { c } ;
2021-09-11 16:29:31 +02:00
wR += $ { l } ) {
int xR = xRCorner + wR ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
for ( int wC = 0 ; wC < $ { d } ;
2021-09-11 16:29:31 +02:00
wC += $ { u } ) {
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 ) ;
2021-09-11 17:17:13 +02:00
if ( value $ { S } currMinMaxValue ) {
2021-09-11 16:29:31 +02:00
minMaxValue = value ;
minMaxValueFound = 1.0 ;
2021-09-11 17:17:13 +02:00
minMaxPosition = $ { s ? r ? m : g : ` wR * ${ d } + wC ` } ;
2021-09-11 16:29:31 +02:00
}
}
}
setOutput ( float ( minMaxPosition ) ) ;
}
2021-09-11 17:17:13 +02:00
` ;return}let y="max",x= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="avg"&&(x="avgValue / count");let b=Math.floor(a/4)*4,v=a%4,k= `
if ( $ { f } ) {
2021-09-11 16:29:31 +02:00
avgValue += dot ( values , ones ) ;
2021-09-05 22:42:11 +02:00
} else {
2021-09-11 16:29:31 +02:00
minMaxValue = $ { y } ( values , minMaxValue ) ;
}
` ;this.userCode= `
2021-09-11 17:17:13 +02:00
const ivec2 strides = ivec2 ( $ { o } , $ { i } ) ;
2021-09-12 18:42:17 +02:00
const ivec2 pads = ivec2 ( $ { p } , $ { h } ) ;
2021-09-11 16:29:31 +02:00
const float initializationValue = $ { A } ;
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 ;
}
count += 1.0 ;
return getX ( batch , xR , xC , d ) ;
2021-08-14 17:16:26 +02:00
}
2021-09-01 00:24:30 +02:00
void main ( ) {
2021-09-05 22:42:11 +02:00
ivec4 coords = getOutputCoords ( ) ;
2021-09-11 16:29:31 +02:00
int batch = coords [ 0 ] ;
2021-09-05 22:42:11 +02:00
int d = coords [ 3 ] ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
ivec2 xRCCorner = coords . yz * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
vec4 minMaxValue = vec4 ( $ { A } ) ;
float avgValue = 0.0 ;
count = 0.0 ;
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
for ( int wR = 0 ; wR < $ { c } ;
2021-09-11 16:29:31 +02:00
wR += $ { l } ) {
int xR = xRCorner + wR ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
for ( int wC = 0 ; wC < $ { b } ; wC += 4 ) {
2021-09-11 16:29:31 +02:00
int xC = xCCorner + wC * $ { u } ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
getValue ( batch , xR , xC + $ { u } , d ) ,
getValue ( batch , xR , xC + 2 * $ { u } , d ) ,
getValue ( batch , xR , xC + 3 * $ { u } , d )
) ;
$ { k }
}
2021-09-11 17:17:13 +02:00
int xC = xCCorner + $ { b } ;
if ( $ { v === 1 } ) {
2021-09-11 16:29:31 +02:00
vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
$ { k }
2021-09-11 17:17:13 +02:00
} else if ( $ { v === 2 } ) {
2021-09-11 16:29:31 +02:00
vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
getValue ( batch , xR , xC + $ { u } , d ) ,
initializationValue ,
initializationValue
) ;
$ { k }
2021-09-11 17:17:13 +02:00
} else if ( $ { v === 3 } ) {
2021-09-11 16:29:31 +02:00
vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
getValue ( batch , xR , xC + $ { u } , d ) ,
getValue ( batch , xR , xC + 2 * $ { u } , d ) ,
initializationValue
) ;
$ { k }
}
}
setOutput ( $ { x } ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }},P2=class{constructor(e,t,n,s=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let a=e.filterWidth,o=e.strideDepth,i=e.strideHeight,l=e.strideWidth,u=e.dilationDepth,c=e.dilationHeight,d=e.dilationWidth,p=e.effectiveFilterDepth,h=e.effectiveFilterHeight,f=e.effectiveFilterWidth,m=e.padInfo.front,g=e.padInfo.top,A=e.padInfo.left;this.outputShape=e.outShape;let y=t==="avg",x="0.0";if(y||(x="-1.0 / 1e-20"),n){let D=">=";this.userCode= `
2021-09-11 16:29:31 +02:00
const ivec3 strides =
2021-09-11 17:17:13 +02:00
ivec3 ( $ { o } , $ { i } , $ { l } ) ;
const ivec3 pads = ivec3 ( $ { m } , $ { g } , $ { A } ) ;
2021-09-11 16:29:31 +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 ;
2021-09-12 18:42:17 +02:00
for ( int wD = 0 ; wD < $ { p } ;
2021-09-11 16:29:31 +02:00
wD += $ { u } ) {
int xD = xDCorner + wD ;
if ( xD < 0 || xD >= $ { e . inDepth } ) {
continue ;
}
2021-09-12 18:42:17 +02:00
for ( int wR = 0 ; wR < $ { h } ;
2021-09-11 17:17:13 +02:00
wR += $ { c } ) {
2021-09-11 16:29:31 +02:00
int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
2021-09-11 17:17:13 +02:00
for ( int wC = 0 ; wC < $ { f } ;
wC += $ { d } ) {
2021-09-11 16:29:31 +02:00
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 ) ;
2021-09-15 04:07:13 +02:00
if ( value $ { D } currMinMaxValue ) {
2021-09-11 16:29:31 +02:00
minMaxValue = value ;
minMaxValueFound = 1.0 ;
2021-09-12 18:42:17 +02:00
minMaxPosition = $ { s ? r ? ` (((batch * ${ e . inDepth } + xD) * ${ e . inHeight } + xR) * ${ e . inWidth } + xC) * ${ e . inChannels } + ch ` : ` ((xD * ${ e . inHeight } + xR) * ${ e . inWidth } + xC) * ${ e . inChannels } + ch ` : ` wD * ${ h } * ${ f } +
2021-09-11 17:17:13 +02:00
wR * $ { f } + wC ` };
2021-09-11 16:29:31 +02:00
}
}
}
}
setOutput ( float ( minMaxPosition ) ) ;
}
2021-09-11 17:17:13 +02:00
` ;return}let b="max",v= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="avg"&&(v="avgValue / count");let k=Math.floor(a/4)*4,S=a%4,C= `
2021-09-11 16:29:31 +02:00
if ( $ { y } ) {
avgValue += dot ( values , ones ) ;
2021-09-05 22:42:11 +02:00
} else {
2021-09-11 17:17:13 +02:00
minMaxValue = $ { b } ( values , minMaxValue ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
` ;this.userCode= `
const ivec3 strides =
2021-09-11 17:17:13 +02:00
ivec3 ( $ { o } , $ { i } , $ { l } ) ;
const ivec3 pads = ivec3 ( $ { m } , $ { g } , $ { A } ) ;
2021-09-11 16:29:31 +02:00
const float initializationValue = $ { x } ;
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
float count = 0.0 ;
float getValue ( int batch , int xD , int xR , int xC , int ch ) {
if ( xC < 0 || xC >= $ { e . inWidth } ) {
return initializationValue ;
}
count += 1.0 ;
return getX ( batch , xD , xR , xC , ch ) ;
2021-09-01 00:22:16 +02:00
}
2021-09-05 22:42:11 +02:00
2021-09-01 00:24:30 +02:00
void main ( ) {
2021-09-11 16:29:31 +02:00
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
ivec3 xCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xDCorner = xCorner . x ;
int xRCorner = xCorner . y ;
int xCCorner = xCorner . z ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
// max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).
// ? = to be determined
vec4 minMaxValue = vec4 ( $ { x } ) ;
float avgValue = 0.0 ;
count = 0.0 ;
2021-09-01 00:24:30 +02:00
2021-09-12 18:42:17 +02:00
for ( int wD = 0 ; wD < $ { p } ;
2021-09-11 16:29:31 +02:00
wD += $ { u } ) {
int xD = xDCorner + wD ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
if ( xD < 0 || xD >= $ { e . inDepth } ) {
continue ;
}
2021-09-01 00:24:30 +02:00
2021-09-12 18:42:17 +02:00
for ( int wR = 0 ; wR < $ { h } ;
2021-09-11 17:17:13 +02:00
wR += $ { c } ) {
2021-09-11 16:29:31 +02:00
int xR = xRCorner + wR ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
for ( int wC = 0 ; wC < $ { k } ; wC += 4 ) {
2021-09-11 17:17:13 +02:00
int xC = xCCorner + wC * $ { d } ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
2021-09-11 17:17:13 +02:00
getValue ( batch , xD , xR , xC + $ { d } , ch ) ,
getValue ( batch , xD , xR , xC + 2 * $ { d } , ch ) ,
getValue ( batch , xD , xR , xC + 3 * $ { d } , ch )
2021-09-11 16:29:31 +02:00
) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
$ { C }
}
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
int xC = xCCorner + $ { k } ;
2021-09-11 17:17:13 +02:00
if ( $ { S === 1 } ) {
2021-09-11 16:29:31 +02:00
vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
$ { C }
2021-09-11 17:17:13 +02:00
} else if ( $ { S === 2 } ) {
2021-09-11 16:29:31 +02:00
vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
2021-09-11 17:17:13 +02:00
getValue ( batch , xD , xR , xC + $ { d } , ch ) ,
2021-09-11 16:29:31 +02:00
initializationValue ,
initializationValue
) ;
$ { C }
2021-09-11 17:17:13 +02:00
} else if ( $ { S === 3 } ) {
2021-09-11 16:29:31 +02:00
vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
2021-09-11 17:17:13 +02:00
getValue ( batch , xD , xR , xC + $ { d } , ch ) ,
getValue ( batch , xD , xR , xC + 2 * $ { d } , ch ) ,
2021-09-11 16:29:31 +02:00
initializationValue
) ;
$ { C }
}
}
2021-09-11 17:17:13 +02:00
setOutput ( $ { v } ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function dY(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t;Cu(r,"avgPool");let{filterSize:a,strides:o,pad:i,dimRoundingMode:l}=s,u=1;w.assert(_.eitherStridesOrDilationsAreOne(o,u),()=> ` Error in avgPool : Either strides or dilations must be 1. Got strides $ { o } and dilations '${u}' ` );let c=_.computePool2DInfo(r.shape,a,o,u,i,l);if(c.filterWidth===1&&c.filterHeight===1&&w.arraysEqual(c.inShape,c.outShape))return cs({inputs:{x:r},backend:n});let d=new $ d(c,"avg",!1);return n.runWebGLProgram(d,[r],"float32")}var pY={kernelName:ja,backendName:"webgl",kernelFunc:dY};function hY(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{filterSize:a,strides:o,pad:i,dimRoundingMode:l,dataFormat:u}=s,c=[1,1,1],d=_.computePool3DInfo(r.shape,a,o,c,i,l,u),p=new P2(d,"avg",!1);return n.runWebGLProgram(p,[r],"float32")}var fY={kernelName:pc,backendName:"webgl",kernelFunc:hY},mY=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,s=e.strideHeight,r=e.strideWidth,a=e.dilationHeight,o=e.dilationWidth,i=e.effectiveFilterHeight,l=e.effectiveFilterWidth,u=i-1-e.padInfo.top,c=l-1-e.padInfo.left,d=1/(t*n);this.userCode= `
2021-09-11 17:17:13 +02:00
const ivec2 pads = ivec2 ( $ { u } , $ { c } ) ;
const float avgMultiplier = float ( $ { d } ) ;
2021-09-11 16:29:31 +02:00
2021-08-14 17:17:51 +02:00
void main ( ) {
2021-09-01 00:24:30 +02:00
ivec4 coords = getOutputCoords ( ) ;
2021-09-05 22:42:11 +02:00
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
ivec2 dyRCCorner = coords . yz - pads ;
int dyRCorner = dyRCCorner . x ;
int dyCCorner = dyRCCorner . y ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
// 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 ;
2021-09-11 17:17:13 +02:00
for ( int wR = 0 ; wR < $ { i } ;
wR += $ { a } ) {
float dyR = float ( dyRCorner + wR ) / $ { s } . 0 ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
2021-09-05 22:42:11 +02:00
2021-09-11 16:29:31 +02:00
for ( int wC = 0 ; wC < $ { l } ;
2021-09-11 17:17:13 +02:00
wC += $ { o } ) {
2021-09-11 16:29:31 +02:00
float dyC = float ( dyCCorner + wC ) / $ { r } . 0 ;
2021-09-05 22:42:11 +02:00
2021-09-11 16:29:31 +02:00
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
2021-09-05 22:42:11 +02:00
2021-09-11 16:29:31 +02:00
float dyValue = getDy ( b , idyR , idyC , d ) ;
2021-09-05 22:42:11 +02:00
2021-09-11 16:29:31 +02:00
dotProd += dyValue * avgMultiplier ;
}
}
setOutput ( dotProd ) ;
}
2021-09-28 18:01:48 +02:00
` }},gY=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,s=e.filterWidth,r=e.strideDepth,a=e.strideHeight,o=e.strideWidth,i=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,d=e.effectiveFilterHeight,p=e.effectiveFilterWidth,h=c-1-e.padInfo.front,f=d-1-e.padInfo.top,m=p-1-e.padInfo.left,g=1/(t*n*s);this.userCode= `
2021-09-12 18:42:17 +02:00
const ivec3 pads = ivec3 ( $ { h } , $ { f } , $ { m } ) ;
2021-09-11 16:29:31 +02:00
const float avgMultiplier = float ( $ { g } ) ;
2021-09-05 22:42:11 +02:00
2021-09-11 16:29:31 +02:00
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 ;
2021-09-11 17:17:13 +02:00
for ( int wD = 0 ; wD < $ { c } ;
wD += $ { i } ) {
2021-09-11 16:29:31 +02:00
float dyD = float ( dyDCorner + wD ) / $ { r } . 0 ;
if ( dyD < 0.0 || dyD >= $ { e . outDepth } . 0 || fract ( dyD ) > 0.0 ) {
2021-09-01 00:24:30 +02:00
continue ;
}
2021-09-11 16:29:31 +02:00
int idyD = int ( dyD ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
for ( int wR = 0 ; wR < $ { d } ;
2021-09-11 16:29:31 +02:00
wR += $ { l } ) {
2021-09-11 17:17:13 +02:00
float dyR = float ( dyRCorner + wR ) / $ { a } . 0 ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
2021-09-01 00:24:30 +02:00
continue ;
}
2021-09-11 16:29:31 +02:00
int idyR = int ( dyR ) ;
2021-08-14 17:17:51 +02:00
2021-09-12 18:42:17 +02:00
for ( int wC = 0 ; wC < $ { p } ;
2021-09-11 16:29:31 +02:00
wC += $ { u } ) {
2021-09-11 17:17:13 +02:00
float dyC = float ( dyCCorner + wC ) / $ { o } . 0 ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
float dyValue = getDy ( batch , idyD , idyR , idyC , ch ) ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
dotProd += dyValue * avgMultiplier ;
2021-09-05 22:42:11 +02:00
}
}
}
2021-09-11 16:29:31 +02:00
setOutput ( dotProd ) ;
}
2021-09-28 18:01:48 +02:00
` }};function AY(e){let{inputs:t,backend:n,attrs:s}=e,{dy:r,input:a}=t,o=a,{filterSize:i,strides:l,pad:u,dimRoundingMode:c}=s,d=[1,1,1],p=_.computePool3DInfo(o.shape,i,l,d,u,c),h=new gY(p);return n.runWebGLProgram(h,[r],o.dtype)}var yY={kernelName:Dp,backendName:"webgl",kernelFunc:AY};function xY(e){let{inputs:t,backend:n,attrs:s}=e,{dy:r,input:a}=t,o=a;Cu([r,a],"avgPoolGrad");let{filterSize:i,strides:l,pad:u}=s,c=_.computePool2DInfo(o.shape,i,l,1,u),d=new mY(c);return n.runWebGLProgram(d,[r],o.dtype)}var bY={kernelName:Rp,backendName:"webgl",kernelFunc:xY};function vY(e){let{inputs:t,backend:n,attrs:s}=e,{a:r,b:a}=t,{transposeA:o,transposeB:i}=s;return A0({a:r,b:a,transposeA:o,transposeB:i,backend:n})}var wY={kernelName:qa,backendName:"webgl",kernelFunc:vY},kY=class{constructor(e,t,n,s,r,a){this.outputShape=[],this.variableNames=["x","mean","variance"],_.assertAndGetBroadcastShape(e,t),_.assertAndGetBroadcastShape(e,n);let o="0.0";s!=null&&(_.assertAndGetBroadcastShape(e,s),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");let i="1.0";r!=null&&(_.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),i="getScaleAtOutCoords()"),this.outputShape=e,this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
float x = getXAtOutCoords ( ) ;
float mean = getMeanAtOutCoords ( ) ;
float variance = getVarianceAtOutCoords ( ) ;
2021-09-11 17:17:13 +02:00
float offset = $ { o } ;
float scale = $ { i } ;
float inv = scale * inversesqrt ( variance + float ( $ { a } ) ) ;
2021-09-11 16:29:31 +02:00
setOutput ( dot ( vec3 ( x , - mean , offset ) , vec3 ( inv , inv , 1 ) ) ) ;
}
2021-09-28 18:01:48 +02:00
` }},IY=class{constructor(e,t,n,s,r,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],_.assertAndGetBroadcastShape(e,t),_.assertAndGetBroadcastShape(e,n);let o="vec4(0.0)";s!=null&&(_.assertAndGetBroadcastShape(e,s),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");let i="vec4(1.0)";r!=null&&(_.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),i="getScaleAtOutCoords()"),this.outputShape=e,this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
2021-09-11 17:17:13 +02:00
vec4 offset = $ { o } ;
vec4 scale = $ { i } ;
2021-09-01 00:22:16 +02:00
2021-09-11 16:29:31 +02:00
vec4 x = getXAtOutCoords ( ) ;
vec4 mean = getMeanAtOutCoords ( ) ;
vec4 variance = getVarianceAtOutCoords ( ) ;
2021-09-11 17:17:13 +02:00
vec4 inv = scale * inversesqrt ( variance + vec4 ( $ { a } ) ) ;
2021-09-11 16:29:31 +02:00
setOutput ( ( x - mean ) * inv + offset ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }},SY=({inputs:e,backend:t,attrs:n})=>{let{x:s,mean:r,variance:a,offset:o,scale:i}=e;w.assert(r.shape.length===a.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),w.assert(o==null||r.shape.length===o.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),w.assert(i==null||r.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:l}=n;l==null&&(l=.001);let u=[s,r,a],c=null;o!=null&&(c=o.shape,u.push(o));let d=null;i!=null&&(d=i.shape,u.push(i));let p=Y().getBool("WEBGL_PACK_NORMALIZATION")?new IY(s.shape,r.shape,a.shape,c,d,l):new kY(s.shape,r.shape,a.shape,c,d,l);return t.runWebGLProgram(p,u,u[0].dtype)},CY={kernelName:io,backendName:"webgl",kernelFunc:SY},TY=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=yt(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let n=NY(this.rank),s,r=e.map((a,o)=> ` sourceLoc . $ { M2 [ o ] } = start [ $ { o } ] + coords . $ { M2 [ o ] } ; ` );s= `
2021-09-11 16:29:31 +02:00
$ { t } sourceLoc ;
$ { t } coords = getOutputCoords ( ) ;
$ { r . join ( `
` )}
` ,this.userCode= `
void main ( ) {
2021-09-11 17:17:13 +02:00
$ { s }
2021-09-11 16:29:31 +02:00
setOutput ( getSource ( $ { n } ) ) ;
}
2021-09-28 18:01:48 +02:00
` }},M2=["x","y","z","w","u","v"];function NY(e){if(e===1)return"sourceLoc";if(e<=6)return M2.slice(0,e).map(t=>"sourceLoc."+t).join(",");throw Error( ` Slicing for rank $ { e } is not yet supported ` )}var EY=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let t=yt(this.rank),n= $ n("coords",this.rank),s= $ n("sourceLoc",this.rank),r=this.rank===1?"sourceLoc": ` vec2 ( $ { s . slice ( - 2 ) . join ( ) } ) ` ,a= ` getChannel ( getSource ( $ { s . join ( ) } ) , $ { r } ) ` ,o= `
2021-09-11 17:17:13 +02:00
result . x = $ { a } ;
2021-09-11 16:29:31 +02:00
if ( ++ $ { n [ this . rank - 1 ] } < $ { e [ this . rank - 1 ] } ) {
2021-09-11 17:17:13 +02:00
++ $ { s [ this . rank - 1 ] } ;
result . y = $ { a } ;
-- $ { s [ this . rank - 1 ] } ;
2021-09-11 16:29:31 +02:00
}
2021-09-11 17:17:13 +02:00
` ,i=this.rank===1?"": `
2021-09-11 16:29:31 +02:00
-- $ { n [ this . rank - 1 ] } ;
if ( ++ $ { n [ this . rank - 2 ] } < $ { e [ this . rank - 2 ] } ) {
2021-09-11 17:17:13 +02:00
++ $ { s [ this . rank - 2 ] } ;
result . z = $ { a } ;
2021-09-11 16:29:31 +02:00
if ( ++ $ { n [ this . rank - 1 ] } < $ { e [ this . rank - 1 ] } ) {
2021-09-11 17:17:13 +02:00
++ $ { s [ this . rank - 1 ] } ;
result . w = $ { a } ;
2021-09-11 16:29:31 +02:00
}
}
` ,l=this.rank<=4? ` sourceLoc = coords +
2021-09-11 17:17:13 +02:00
$ { t } ( $ { e . map ( ( u , c ) => ` start[ ${ c } ] ` ) . join ( ) } ) ; ` :e.map((u,c)=> ` $ { s [ c ] } = $ { n [ c ] } + start [ $ { c } ] ; ` ).join( `
2021-09-11 16:29:31 +02:00
` );this.userCode= `
void main ( ) {
$ { t } coords = getOutputCoords ( ) ;
$ { t } sourceLoc ;
$ { l }
vec4 result = vec4 ( 0. ) ;
$ { o }
2021-09-11 17:17:13 +02:00
$ { i }
2021-09-11 16:29:31 +02:00
setOutput ( result ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function RY(e,t,n,s){let r=s.texData.get(e.dataId),a=s.makeTensorInfo(n,e.dtype),o=s.texData.get(a.dataId);Object.assign(o,r),o.refCount=1,o.shape=n,o.dtype=e.dtype;let i=Nn.computeFlatOffset(t,w.computeStrides(e.shape));r.slice&&(i+=r.slice.flatOffset),o.slice={flatOffset:i,origDataId:r.slice&&r.slice.origDataId||e.dataId};let l=s.dataRefCount.get(o.slice.origDataId)||1;return s.dataRefCount.set(o.slice.origDataId,l+1),a}function Fu(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{begin:a,size:o}=s,[i,l]=Nn.parseSliceParams(r,a,o);if(Nn.assertParamsValid(r,i,l),w.sizeFromShape(l)===0)return n.makeTensorInfo(l,r.dtype,[]);if(n.shouldExecuteOnCPU([r])||r.dtype==="string"){let d=n.texData.get(r.dataId),p=mK(d.values,i,l,r.shape,r.dtype);return n.makeTensorInfo(l,r.dtype,p)}let{isPacked:u}=n.texData.get(r.dataId),c=Nn.isSliceContinous(r.shape,i,l);if(u||!c){let d=Y().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new EY(l):new TY(l),p=[i];return n.runWebGLProgram(d,[r],r.dtype,p)}return n.uploadToGPU(r.dataId),RY(r,i,l,n)}var DY={kernelName:Fl,backendName:"webgl",kernelFunc:Fu},_Y=e=>{let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{blockShape:a,crops:o}=s;w.assert(r.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let i=a.reduce((y,x)=>y*x),l=_.getReshaped(r.shape,a,i),u=_.getPermuted(l.length,a.length),c=_.getReshapedPermuted(r.shape,a,i),d=_.getSliceBeginCoords(o,a.length),p=_.getSliceSize(c,o,a.length),h=[],f=be({inputs:{x:r},backend:n,attrs:{shape:l}}),m=Fn({inputs:{x:f},backend:n,attrs:{perm:u}}),g=be({inputs:{x:m},backend:n,attrs:{shape:c}}),A=Fu({inputs:{x:g},backend:n,attrs:{begin:d,size:p}});return h.push(f),h.push(m),h.push(g),h.forEach(y=>n.disposeIntermediateTensorInfo(y)),A}, $ Y={kernelName:tl,backendName:"webgl",kernelFunc:_Y};function FY(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,weights:a}=t,{size:o}=s,i=n.readSync(r.dataId),l=n.readSync(a.dataId),u=m4(i,l,a.dtype,a.shape,o);return n.makeTensorInfo([o],a.dtype,u)}var OY={kernelName:_p,backendName:"webgl",kernelFunc:FY},PY="return float(a != b);",V4=bn({opSnippet:PY,cpuKernelImpl:cK,dtype:"bool"}),MY={kernelName:wl,backendName:"webgl",kernelFunc:V4};function Fd(e){let{inputs:t,backend:n}=e,{input:s}=t,r=n.texData.get(s.dataId);return cs({inputs:{x:r.complexTensorInfos.real},backend:n})}var zY={kernelName:eh,backendName:"webgl",kernelFunc:Fd},LY="return float(int(x));";function BY(e,t){let n=new Ea(e.shape,LY),s=t.runWebGLProgram(n,[e],"int32");return{dataId:s.dataId,shape:s.shape,dtype:s.dtype}}function z2(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{dtype:a}=s;if(a==="complex64"){if(r.dtype==="complex64")return cs({inputs:{x:r},backend:n});let o=Pt(r.shape),i=z2({inputs:{x:r},backend:n,attrs:{dtype:"float32"}}),l=Ra({inputs:{real:i,imag:o},backend:n});return o.dispose(),n.disposeIntermediateTensorInfo(i),l}if(r.dtype==="complex64"){let o=Fd({inputs:{input:r},backend:n}),i=z2({inputs:{x:o},backend:n,attrs:{dtype:a}});return n.disposeIntermediateTensorInfo(o),i}if(!w.hasEncodingLoss(r.dtype,a)){let o=cs({inputs:{x:r},backend:n});return{dataId:o.dataId,shape:o.shape,dtype:a}}if(a==="int32")return BY(r,n);if(a==="bool"){let o=n.makeTensorInfo([],"bool",w.getTypedArrayFromDType("bool",1)),l=V4({inputs:{a:r,b:o},backend:n});return n.disposeIntermediateTensorInfo(o),l}throw new Error( ` Error in Cast : failed to cast $ { r . dtype } to $ { a } ` )}var WY={kernelName:Xa,backendName:"webgl",kernelFunc:z2},U4="return ceil(x);",VY=tt({opSnippet:U4,packedOpSnippet:U4,cpuKernelImpl:GX}),UY={kernelName:Ka,backendName:"webgl",kernelFunc:VY},HY=class{constructor(e){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode= `
2021-09-01 00:24:30 +02:00
2021-09-05 22:42:11 +02:00
void main ( ) {
2021-09-11 16:29:31 +02:00
float value = getAAtOutCoords ( ) ;
if ( isnan ( value ) ) {
setOutput ( value ) ;
return ;
}
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
setOutput ( clamp ( value , minVal , maxVal ) ) ;
}
2021-09-28 18:01:48 +02:00
` }},GY=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
vec4 value = getAAtOutCoords ( ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
if ( any ( isnan ( value ) ) ) {
setOutput ( value ) ;
return ;
}
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
setOutput ( clamp ( value , vec4 ( minVal ) , vec4 ( maxVal ) ) ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function jY(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{clipValueMin:a,clipValueMax:o}=s,i;Y().getBool("WEBGL_PACK_CLIP")?i=new GY(r.shape):i=new HY(r.shape);let l=[[a],[o]];return n.runWebGLProgram(i,[r],r.dtype,l)}var qY={kernelName:oa,backendName:"webgl",kernelFunc:jY},XY=class{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
float re = abs ( getRealAtOutCoords ( ) ) ;
float im = abs ( getImagAtOutCoords ( ) ) ;
float mx = max ( re , im ) ;
// 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 ) )
) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function H4(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}function KY(e){let{inputs:t,backend:n}=e,{x:s}=t,r=n.texData.get(s.dataId),a=new XY(s.shape),o=[H4(s,r.complexTensorInfos.real),H4(s,r.complexTensorInfos.imag)];return n.runWebGLProgram(a,o,o[0].dtype)}var ZY={kernelName:hc,backendName:"webgl",kernelFunc:KY},YY=class{constructor(e){this.outputShape=[],this.outputShape=_.computeOutShape(e,1),this.variableNames=e.map((a,o)=> ` T$ { o } ` );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 o=t[a-1];n.push( ` else if ( yC < $ { t [ a ] } ) setOutput ( getT$ { a } ( yR , yC - $ { o } ) ) ; ` )}let s=t.length,r=t[t.length-1];n.push( ` else setOutput ( getT$ { s } ( yR , yC - $ { r } ) ) ; ` ),this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int yR = coords . x ;
int yC = coords . y ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
$ { n . join ( `
` )}
}
2021-09-28 18:01:48 +02:00
` }},JY=class{constructor(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=_.computeOutShape(e,t);let n=this.outputShape,s=n.length,r=yt(s),a= $ n("coords",s),o=["x","y","z","w","u","v"].slice(0,s);this.variableNames=e.map((f,m)=> ` T$ { m } ` );let i=new Array(e.length-1);i[0]=e[0][t];for(let f=1;f<i.length;f++)i[f]=i[f-1]+e[f][t];let l=o[t],u=o.slice(-2),c=o.join(),d= ` if ( $ { l } < $ { i [ 0 ] } ) {
2021-09-11 16:29:31 +02:00
return getChannel (
2021-09-11 17:17:13 +02:00
getT0 ( $ { c } ) , vec2 ( $ { u . join ( ) } ) ) ;
} ` ;for(let f=1;f<i.length;f++){let m=i[f-1];d+= `
if ( $ { l } < $ { i [ f ] } && $ { l } >= $ { i [ f - 1 ] } ) {
2021-09-11 16:29:31 +02:00
return getChannel (
2021-09-28 18:01:48 +02:00
getT$ { f } ( $ { x0 ( o , l , m ) } ) ,
vec2 ( $ { x0 ( u , l , m ) } ) ) ;
2021-09-12 18:42:17 +02:00
} ` }let p=i.length,h=i[i.length-1];d+= `
2021-09-11 16:29:31 +02:00
return getChannel (
2021-09-28 18:01:48 +02:00
getT$ { p } ( $ { x0 ( o , l , h ) } ) ,
vec2 ( $ { x0 ( u , l , h ) } ) ) ; ` ,this.userCode= `
2021-09-11 17:17:13 +02:00
float getValue ( $ { o . map ( f => "int " + f ) } ) {
$ { d }
2021-09-05 22:42:11 +02:00
}
2021-09-01 00:24:30 +02:00
void main ( ) {
2021-09-11 16:29:31 +02:00
$ { r } coords = getOutputCoords ( ) ;
2021-09-11 17:17:13 +02:00
vec4 result = vec4 ( getValue ( $ { a } ) , 0. , 0. , 0. ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
$ { a [ s - 1 ] } = $ { a [ s - 1 ] } + 1 ;
if ( $ { a [ s - 1 ] } < $ { n [ s - 1 ] } ) {
result . g = getValue ( $ { a } ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
$ { a [ s - 2 ] } = $ { a [ s - 2 ] } + 1 ;
if ( $ { a [ s - 2 ] } < $ { n [ s - 2 ] } ) {
result . a = getValue ( $ { a } ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
$ { a [ s - 1 ] } = $ { a [ s - 1 ] } - 1 ;
if ( $ { a [ s - 2 ] } < $ { n [ s - 2 ] } &&
$ { a [ s - 1 ] } < $ { n [ s - 1 ] } ) {
result . b = getValue ( $ { a } ) ;
2021-09-11 16:29:31 +02:00
}
setOutput ( result ) ;
}
2021-09-28 18:01:48 +02:00
` }};function x0(e,t,n){let s=e.indexOf(t);return e.map((a,o)=>o===s? ` $ { a } - $ { n } ` :a).join()}function b0(e){let{inputs:t,backend:n}=e,{input:s}=t,r=n.texData.get(s.dataId);return cs({inputs:{x:r.complexTensorInfos.imag},backend:n})}var QY={kernelName:qp,backendName:"webgl",kernelFunc:b0};function Ou(e,t,n){let s=e[0].dtype;if(s==="complex64"){let c=e.map(m=>Fd({inputs:{input:m},backend:n})),d=e.map(m=>b0({inputs:{input:m},backend:n})),p=Ou(c,t,n),h=Ou(d,t,n),f=Ra({inputs:{real:p,imag:h},backend:n});return c.forEach(m=>n.disposeIntermediateTensorInfo(m)),d.forEach(m=>n.disposeIntermediateTensorInfo(m)),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h),f}let r=n.shouldExecuteOnCPU(e);if(s==="string"&&(r=!0),r){let c=e.map(A=>{let y=w.sizeFromShape(A.shape.slice(t));return be({inputs:{x:A},backend:n,attrs:{shape:[-1,y]}})}),d=c.map(A=>({vals:n.readSync(A.dataId),shape:A.shape})),p=_.computeOutShape(c.map(A=>A.shape),1),h=c[0].shape[0]===1,f=jX(d,p,s,h),m=_.computeOutShape(e.map(A=>A.shape),t),g=n.makeTensorInfo(m,s,f);return c.forEach(A=>n.disposeIntermediateTensorInfo(A)),g}if(e.length>Y().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){let c=Math.floor(e.length/2),d=Ou(e.slice(0,c),t,n),p=Ou(e.slice(c),t,n),h=Ou([d,p],t,n);return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(p),h}if(Y().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].shape.length>1){let c=new JY(e.map(d=>d.shape),t);return n.runWebGLProgram(c,e,s)}let{tensors2D:a,outShape:o}=eJ(e,t,n),i=new YY(a.map(c=>c.shape)),l=n.runWebGLProgram(i,a,s);a.forEach(c=>n.disposeIntermediateTensorInfo(c));let u=be({inputs:{x:l},attrs:{shape:o},backend:n});return n.disposeIntermediateTensorInfo(l),u}function eJ(e,t,n){let s=_.computeOutShape(e.map(a=>a.shape),t);return{tensors2D:e.map(a=>be({inputs:{x:a},attrs:{shape:[-1,w.sizeFromShape(a.shape.slice(t))]},backend:n})),outShape:s}}function G4(e){let{inputs:t,backend:n,attrs:s}=e,{axis:r}=s,a=w.parseAxisParam(r,t[0].shape)[0],o=_.computeOutShape(t.map(u=>u.shape),a);if(w.sizeFromShape(o)===0)return n.makeTensorInfo(o,t[0].dtype,[]);let i=t.filter(u=>w.sizeFromShape(u.shape)>0);if(i.length===1)return cs({inputs:{x:i[0]},backend:n});let l=i.map(u=>u.shape);return _.assertParamsConsistent(l,a),Ou(i,a,n)}var tJ={kernelName:nl,backendName:"webgl",kernelFunc:G4},j4=class{constructor(e,t=!1,n=null,s=!1,r=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let a=e.padInfo.top,o=e.padInfo.left,i=e.strideHeight,l=e.strideWidth,u=e.dilationHeight,c=e.dilationWidth,d=e.filterHeight,p=e.filterWidth,h=Math.floor(e.inChannels/4)*4,f=e.inChannels%4,m=e.dataFormat==="channelsLast",g=m?1:2,A=m?2:3,y=m?3:1,x="",b="";n&&(s?x= ` float activation ( float a ) {
2021-09-11 16:29:31 +02:00
float b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
} ` :r?x= ` float activation ( float a ) {
float b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
} ` :x= `
float activation ( float x ) {
$ { n }
}
2021-09-11 17:17:13 +02:00
` ,b="result = activation(result);");let v=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),s&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
2021-09-11 16:29:31 +02:00
$ { x }
2021-09-05 22:42:11 +02:00
2021-09-11 17:17:13 +02:00
const ivec2 strides = ivec2 ( $ { i } , $ { l } ) ;
const ivec2 pads = ivec2 ( $ { a } , $ { o } ) ;
2021-09-05 22:42:11 +02:00
2021-09-01 00:24:30 +02:00
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
2021-09-11 16:29:31 +02:00
int batch = coords [ 0 ] ;
int d2 = coords [ $ { y } ] ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
ivec2 xRCCorner =
ivec2 ( coords [ $ { g } ] , coords [ $ { A } ] ) * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +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 ;
2021-09-11 17:17:13 +02:00
for ( int wR = 0 ; wR < $ { d } ; wR ++ ) {
2021-09-11 16:29:31 +02:00
int xR = xRCorner + wR * $ { u } ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
if ( xR < 0 || xR >= $ { e . inHeight } ) {
2021-09-01 00:24:30 +02:00
continue ;
}
2021-09-12 18:42:17 +02:00
for ( int wC = 0 ; wC < $ { p } ; wC ++ ) {
2021-09-11 17:17:13 +02:00
int xC = xCCorner + wC * $ { c } ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
if ( xC < 0 || xC >= $ { e . inWidth } ) {
2021-09-01 00:24:30 +02:00
continue ;
}
2021-09-12 18:42:17 +02:00
for ( int d1 = 0 ; d1 < $ { h } ; d1 += 4 ) {
2021-09-11 16:29:31 +02:00
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 )
) ;
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
if ( $ { m } ) {
2021-09-11 16:29:31 +02:00
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 ) ;
}
}
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
if ( $ { f === 1 } ) {
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
if ( $ { m } ) {
2021-09-11 16:29:31 +02:00
dotProd +=
2021-09-12 18:42:17 +02:00
getX ( batch , xR , xC , $ { h } ) *
getW ( wR , wC , $ { h } , d2 ) ;
2021-09-11 16:29:31 +02:00
} else {
dotProd +=
2021-09-12 18:42:17 +02:00
getX ( batch , $ { h } , xR , xC ) *
getW ( wR , wC , $ { h } , d2 ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
} else if ( $ { f === 2 } ) {
2021-09-11 16:29:31 +02:00
vec2 wValues = vec2 (
2021-09-12 18:42:17 +02:00
getW ( wR , wC , $ { h } , d2 ) ,
getW ( wR , wC , $ { h } + 1 , d2 )
2021-09-11 16:29:31 +02:00
) ;
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
if ( $ { m } ) {
2021-09-11 16:29:31 +02:00
vec2 xValues = vec2 (
2021-09-12 18:42:17 +02:00
getX ( batch , xR , xC , $ { h } ) ,
getX ( batch , xR , xC , $ { h } + 1 )
2021-09-11 16:29:31 +02:00
) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec2 xValues = vec2 (
2021-09-12 18:42:17 +02:00
getX ( batch , $ { h } , xR , xC ) ,
getX ( batch , $ { h } + 1 , xR , xC )
2021-09-11 16:29:31 +02:00
) ;
dotProd += dot ( xValues , wValues ) ;
}
2021-09-11 17:17:13 +02:00
} else if ( $ { f === 3 } ) {
2021-09-11 16:29:31 +02:00
vec3 wValues = vec3 (
2021-09-12 18:42:17 +02:00
getW ( wR , wC , $ { h } , d2 ) ,
getW ( wR , wC , $ { h } + 1 , d2 ) ,
getW ( wR , wC , $ { h } + 2 , d2 )
2021-09-11 16:29:31 +02:00
) ;
2021-09-11 17:17:13 +02:00
if ( $ { m } ) {
2021-09-11 16:29:31 +02:00
vec3 xValues = vec3 (
2021-09-12 18:42:17 +02:00
getX ( batch , xR , xC , $ { h } ) ,
getX ( batch , xR , xC , $ { h } + 1 ) ,
getX ( batch , xR , xC , $ { h } + 2 )
2021-09-11 16:29:31 +02:00
) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec3 xValues = vec3 (
2021-09-12 18:42:17 +02:00
getX ( batch , $ { h } , xR , xC ) ,
getX ( batch , $ { h } + 1 , xR , xC ) ,
getX ( batch , $ { h } + 2 , xR , xC )
2021-09-11 16:29:31 +02:00
) ;
dotProd += dot ( xValues , wValues ) ;
}
2021-09-01 00:24:30 +02:00
}
}
2021-06-07 02:34:29 +02:00
}
2021-09-11 16:29:31 +02:00
float result = dotProd ;
$ { v }
2021-09-11 17:17:13 +02:00
$ { b }
2021-09-11 16:29:31 +02:00
setOutput ( result ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }},nJ=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,n=e.padInfo.top,s=e.padInfo.left,r=e.strideDepth,a=e.strideHeight,o=e.strideWidth,i=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,c=e.filterDepth,d=e.filterHeight,p=e.filterWidth,h=Math.floor(e.inChannels/4)*4,f=e.inChannels%4;this.userCode= `
2021-09-11 17:17:13 +02:00
const ivec3 strides = ivec3 ( $ { r } , $ { a } , $ { o } ) ;
const ivec3 pads = ivec3 ( $ { t } , $ { n } , $ { s } ) ;
2021-09-11 16:29:31 +02:00
2021-09-01 00:24:30 +02:00
void main ( ) {
2021-09-11 16:29:31 +02:00
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int d2 = coords . u ;
ivec3 xFRCCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xFCorner = xFRCCorner . x ;
int xRCorner = xFRCCorner . y ;
int xCCorner = xFRCCorner . z ;
// 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 ;
2021-09-11 17:17:13 +02:00
for ( int wF = 0 ; wF < $ { c } ; wF ++ ) {
int xF = xFCorner + wF * $ { i } ;
2021-09-05 22:42:11 +02:00
2021-09-11 16:29:31 +02:00
if ( xF < 0 || xF >= $ { e . inDepth } ) {
continue ;
}
2021-09-05 22:42:11 +02:00
2021-09-11 17:17:13 +02:00
for ( int wR = 0 ; wR < $ { d } ; wR ++ ) {
2021-09-11 16:29:31 +02:00
int xR = xRCorner + wR * $ { l } ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
2021-09-05 22:42:11 +02:00
2021-09-12 18:42:17 +02:00
for ( int wC = 0 ; wC < $ { p } ; wC ++ ) {
2021-09-11 16:29:31 +02:00
int xC = xCCorner + wC * $ { u } ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
2021-09-12 18:42:17 +02:00
for ( int d1 = 0 ; d1 < $ { h } ; d1 += 4 ) {
2021-09-11 16:29:31 +02:00
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 )
) ;
dotProd += dot ( xValues , wValues ) ;
}
2021-09-11 17:17:13 +02:00
if ( $ { f === 1 } ) {
2021-09-11 16:29:31 +02:00
dotProd +=
2021-09-12 18:42:17 +02:00
getX ( batch , xF , xR , xC , $ { h } ) *
getW ( wF , wR , wC , $ { h } , d2 ) ;
2021-09-11 17:17:13 +02:00
} else if ( $ { f === 2 } ) {
2021-09-11 16:29:31 +02:00
vec2 xValues = vec2 (
2021-09-12 18:42:17 +02:00
getX ( batch , xF , xR , xC , $ { h } ) ,
getX ( batch , xF , xR , xC , $ { h } + 1 )
2021-09-11 16:29:31 +02:00
) ;
vec2 wValues = vec2 (
2021-09-12 18:42:17 +02:00
getW ( wF , wR , wC , $ { h } , d2 ) ,
getW ( wF , wR , wC , $ { h } + 1 , d2 )
2021-09-11 16:29:31 +02:00
) ;
dotProd += dot ( xValues , wValues ) ;
2021-09-11 17:17:13 +02:00
} else if ( $ { f === 3 } ) {
2021-09-11 16:29:31 +02:00
vec3 xValues = vec3 (
2021-09-12 18:42:17 +02:00
getX ( batch , xF , xR , xC , $ { h } ) ,
getX ( batch , xF , xR , xC , $ { h } + 1 ) ,
getX ( batch , xF , xR , xC , $ { h } + 2 )
2021-09-11 16:29:31 +02:00
) ;
vec3 wValues = vec3 (
2021-09-12 18:42:17 +02:00
getW ( wF , wR , wC , $ { h } , d2 ) ,
getW ( wF , wR , wC , $ { h } + 1 , d2 ) ,
getW ( wF , wR , wC , $ { h } + 2 , d2 )
2021-09-11 16:29:31 +02:00
) ;
dotProd += dot ( xValues , wValues ) ;
}
}
}
}
setOutput ( dotProd ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }},sJ=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"},{name:"pad",type:"ivec2"},{name:"stride",type:"ivec2"},{name:"dilation",type:"ivec2"},{name:"inChannels",type:"int"},{name:"itemsPerBlockRow",type:"int"},{name:"outWidth",type:"int"}],this.outputShape=e,this.enableShapeUniforms=Is(this.outputShape.length);let{dataFormat:n}=t,s=_n(),r=n==="channelsLast",a=r?0:1,o=r?1:2,i=this.enableShapeUniforms?"if(blockIndex < outShape[1] && pos < outShape[0]) {": ` if ( blockIndex < $ { e [ 1 ] } && pos < $ { e [ 0 ] } ) { ` ,l="";for(let u=0;u<=1;u++)for(let c=0;c<=1;c++)l+= `
2021-09-11 17:17:13 +02:00
blockIndex = rc . y + $ { c } ;
2021-09-11 16:29:31 +02:00
pos = rc . x + $ { u } ;
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
$ { i }
2021-09-11 16:29:31 +02:00
offsetY = int ( blockIndex / outWidth ) * stride [ 0 ] - pad [ 0 ] ;
d0 = offsetY + dilation [ 0 ] * ( pos / itemsPerBlockRow ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
if ( d0 < inputShape [ $ { a } ] && d0 >= 0 ) {
2021-09-11 16:29:31 +02:00
// Use custom imod instead mod. On Intel GPU, mod may generate
// unexpected value.
// https://github.com/tensorflow/tfjs/issues/5447
offsetX = imod ( blockIndex , outWidth ) * stride [ 1 ] - pad [ 1 ] ;
d1 = offsetX + dilation [ 1 ] * ( imod ( pos , itemsPerBlockRow ) /
inChannels ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
if ( d1 < inputShape [ $ { o } ] && d1 >= 0 ) {
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
ch = imod ( pos , inChannels ) ;
2021-09-05 22:42:11 +02:00
2021-09-11 16:29:31 +02:00
if ( $ { r } ) {
innerDims = vec2 ( d1 , ch ) ;
2021-09-11 17:17:13 +02:00
result [ $ { u * 2 + c } ] = getChannel (
2021-09-11 16:29:31 +02:00
getA ( d0 , int ( innerDims . x ) ,
int ( innerDims . y ) ) , innerDims ) ;
} else {
innerDims = vec2 ( d0 , d1 ) ;
2021-09-11 17:17:13 +02:00
result [ $ { u * 2 + c } ] = getChannel (
2021-09-11 16:29:31 +02:00
getA ( ch , int ( innerDims . x ) ,
int ( innerDims . y ) ) , innerDims ) ;
}
}
}
}
` ;this.userCode= `
void main ( ) {
ivec2 rc = getOutputCoords ( ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
vec4 result = vec4 ( 0 ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
int blockIndex , pos , offsetY , d0 , offsetX , d1 , ch ;
vec2 innerDims ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
$ { l }
2021-09-11 17:17:13 +02:00
$ { s . output } = result ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function q4({x:e,filter:t,convInfo:n,backend:s,bias:r=null,preluActivationWeights:a=null,leakyreluAlpha:o=0,activation:i=null}){let l=e.shape,u=s.texData.get(e.dataId),c=n.inChannels,d=l[0]*l[1]*l[2],p=n.outChannels,h=n.dataFormat==="channelsLast",f=!1,m=!1,g,A=[];if(!((d===1||p===1)&&c>P4)&&u.isPacked&&h&&u.texture!=null&&l[2]%2!=0&&w.arraysEqual(u.shape.slice(-3),l.slice(-3))){let b=l[0]*l[1]*(l[2]+1),v={dataId:e.dataId,shape:[1,b,n.inChannels],dtype:e.dtype},k=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,w.assert(Rd(u.shape,v.shape),()=> ` packed reshape $ { u . shape } to $ { v . shape } isn ' t free ` );let S=be({inputs:{x:t},backend:s,attrs:{shape:[1,n.inChannels,n.outChannels]}});A.push(S);let C=A0({a:v,b:S,backend:s,transposeA:f,transposeB:m,bias:r,activation:i,preluActivationWeights:a,leakyreluAlpha:o}),D=s.texData.get(C.dataId);w.assert(D.isPacked,()=>"batchMatMul result is expected to be packed"),u.shape=k,D.shape=n.outShape,g=cs({inputs:{x:C},backend:s}),g.shape=n.outShape,A.push(C)}else{let b=h?l[0]*l[1]*l[2]:l[0]*l[2]*l[3],v=be({inputs:{x:e},backend:s,attrs:{shape:[1,b,n.inChannels]}}),k=be({inputs:{x:t},backend:s,attrs:{shape:[1,n.inChannels,n.outChannels]}}),S=A0({a:v,b:k,transposeA:f,transposeB:m,backend:s,bias:r,activation:i,preluActivationWeights:a,leakyreluAlpha:o});g=be({inputs:{x:S},backend:s,attrs:{shape:n.outShape}}),A.push(v),A.push(k),A.push(S)}for(let b of A)s.disposeIntermediateTensorInfo(b);return g}function X4({x:e,filter:t,convInfo:n,backend:s,bias:r=null,preluActivationWeights:a=null,leakyreluAlpha:o=0,activation:i=null}){let{filterWidth:l,filterHeight:u,inChannels:c,outWidth:d,outHeight:p,dataFormat:h}=n,f=h==="channelsLast",m=l*u*c,g=p*d,A=[m,g],y=!0,x=!1,b=[],v=be({inputs:{x:e},backend:s,attrs:{shape:e.shape.slice(1)}}),k=be({inputs:{x:t},backend:s,attrs:{shape:[1,m,w.sizeFromShape(t.shape)/m]}});b.push(v),b.push(k);let S=new sJ(A,n),C=[v.shape,[n.padInfo.top,n.padInfo.left],[n.strideHeight,n.strideWidth],[n.dilationHeight,n.dilationWidth],[n.inChannels],[n.filterWidth*n.inChannels],[n.outWidth]],D=s.runWebGLProgram(S,[v],"float32",C),O=be({inputs:{x:D},backend:s,attrs:{shape:[1,A[0],A[1]]}});b.push(D),b.push(O);let E=r!=null,R=a!=null,T=i==="leakyrelu",P=i?f0(i,!0):null,U=new D4(O.shape,k.shape,[1,g,n.outChannels],y,x,E,P,R,T),j=[O,k];if(r&&j.push(r),R&&j.push(a),T){let ne=s.makeTensorInfo([],"float32",w.createScalarValue(o,"float32"));j.push(ne),b.push(ne)}let q=s.runWebGLProgram(U,j,"float32"),X=f?[1,p,d,n.outChannels]:[1,n.outChannels,p,d],te=be({inputs:{x:q},backend:s,attrs:{shape:X}});b.push(q);for(let ne of b)s.disposeIntermediateTensorInfo(ne);return te}function rJ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,filter:a}=t,{strides:o,pad:i,dataFormat:l,dilations:u,dimRoundingMode:c}=s,d=_.convertConv2DDataFormat(l),p=_.computeConv2DInfo(r.shape,a.shape,o,u,i,c,!1,d),h;if(p.filterHeight===1&&p.filterWidth===1&&p.dilationHeight===1&&p.dilationWidth===1&&p.strideHeight===1&&p.strideWidth===1&&(p.padInfo.type==="SAME"||p.padInfo.type==="VALID"))h=q4({x:r,filter:a,convInfo:p,backend:n});else if(Y().getBool("WEBGL_CONV_IM2COL")&&r.shape[0]===1)h=X4({x:r,filter:a,convInfo:p,backend:n});else{let m=new j4(p);h=n.runWebGLProgram(m,[r,a],"float32")}let f=be({inputs:{x:h},backend:n,attrs:{shape:p.outShape}});return n.disposeIntermediateTensorInfo(h),f}var aJ={kernelName:Za,backendName:"webgl",kernelFunc:rJ},oJ=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,s=e.padInfo.top,r=e.padInfo.left,a=e.dataFormat==="channelsLast";this.userCode= `
2021-09-11 16:29:31 +02:00
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 ++ ) {
2021-09-11 17:17:13 +02:00
int xR = wR + yR * $ { t } - $ { s } ;
2021-09-11 16:29:31 +02:00
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
for ( int yC = 0 ; yC < $ { e . outWidth } ; yC ++ ) {
int xC = wC + yC * $ { n } - $ { r } ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
2021-09-11 17:17:13 +02:00
if ( $ { a } ) {
2021-09-11 16:29:31 +02:00
float dyValue = getDy ( b , yR , yC , d2 ) ;
float xValue = getX ( b , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
2021-09-05 22:42:11 +02:00
} else {
2021-09-11 16:29:31 +02:00
float dyValue = getDy ( b , d2 , yR , yC ) ;
float xValue = getX ( b , d1 , xR , xC ) ;
dotProd += ( xValue * dyValue ) ;
2021-09-01 00:24:30 +02:00
}
2021-09-11 16:29:31 +02:00
2021-09-01 00:24:30 +02:00
}
2021-09-11 16:29:31 +02:00
}
}
setOutput ( dotProd ) ;
}
2021-09-28 18:01:48 +02:00
` }},iJ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,s=e.strideHeight,r=e.strideWidth,a=e.dataFormat==="channelsLast",o=t-1-e.padInfo.top,i=n-1-e.padInfo.left,l=a?1:2,u=a?2:3,c=a?3:1;this.userCode= `
2021-09-11 17:17:13 +02:00
const ivec2 pads = ivec2 ( $ { o } , $ { i } ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
2021-09-11 17:17:13 +02:00
int d1 = coords [ $ { c } ] ;
2021-09-11 16:29:31 +02:00
ivec2 dyCorner = ivec2 ( coords [ $ { l } ] , coords [ $ { u } ] ) - 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 ++ ) {
2021-09-11 17:17:13 +02:00
float dyR = float ( dyRCorner + wR ) / $ { s } . 0 ;
2021-09-11 16:29:31 +02:00
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 ) / $ { r } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
int wCPerm = $ { n } - 1 - wC ;
for ( int d2 = 0 ; d2 < $ { e . outChannels } ; d2 ++ ) {
2021-09-11 17:17:13 +02:00
if ( $ { a } ) {
2021-09-11 16:29:31 +02:00
float xValue = getDy ( batch , idyR , idyC , d2 ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
2021-09-05 22:42:11 +02:00
} else {
2021-09-11 16:29:31 +02:00
float xValue = getDy ( batch , d2 , idyR , idyC ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
}
}
}
setOutput ( dotProd ) ;
}
2021-09-28 18:01:48 +02:00
` }},lJ=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,n=e.strideHeight,s=e.strideWidth,r=e.padInfo.front,a=e.padInfo.top,o=e.padInfo.left;this.userCode= `
2021-09-11 16:29:31 +02:00
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 } - $ { r } ;
if ( xF < 0 || xF >= $ { e . inDepth } ) {
continue ;
2021-09-01 00:24:30 +02:00
}
2021-09-11 16:29:31 +02:00
for ( int yR = 0 ; yR < $ { e . outHeight } ; yR ++ ) {
2021-09-11 17:17:13 +02:00
int xR = wR + yR * $ { n } - $ { a } ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
for ( int yC = 0 ; yC < $ { e . outWidth } ; yC ++ ) {
2021-09-11 17:17:13 +02:00
int xC = wC + yC * $ { s } - $ { o } ;
2021-09-11 16:29:31 +02:00
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
float dyValue = getDy ( b , yF , yR , yC , d2 ) ;
float xValue = getX ( b , xF , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
2021-09-01 00:24:30 +02:00
}
}
2021-09-11 16:29:31 +02:00
}
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
setOutput ( dotProd ) ;
2021-09-01 00:22:16 +02:00
}
2021-09-28 18:01:48 +02:00
` }},uJ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,s=e.filterWidth,r=e.strideDepth,a=e.strideHeight,o=e.strideWidth,i=t-1-e.padInfo.front,l=n-1-e.padInfo.top,u=s-1-e.padInfo.left;this.userCode= `
2021-09-11 17:17:13 +02:00
const ivec3 pads = ivec3 ( $ { i } , $ { l } , $ { u } ) ;
2021-09-11 16:29:31 +02:00
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 ) / $ { r } . 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 ++ ) {
2021-09-11 17:17:13 +02:00
float dyR = float ( dyRCorner + wR ) / $ { a } . 0 ;
2021-09-11 16:29:31 +02:00
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
int wRPerm = $ { n } - 1 - wR ;
2021-09-11 17:17:13 +02:00
for ( int wC = 0 ; wC < $ { s } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { o } . 0 ;
2021-09-11 16:29:31 +02:00
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
2021-09-11 17:17:13 +02:00
int wCPerm = $ { s } - 1 - wC ;
2021-09-11 16:29:31 +02:00
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 ;
}
}
}
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
setOutput ( dotProd ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function cJ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,dy:a}=t,{strides:o,pad:i,dataFormat:l,dimRoundingMode:u,filterShape:c}=s,d=_.convertConv2DDataFormat(l),p=_.computeConv2DInfo(r.shape,c,o,1,i,u,!1,d),h=new oJ(p);return n.runWebGLProgram(h,[r,a],"float32")}var dJ={kernelName:Fp,backendName:"webgl",kernelFunc:cJ};function pJ(e){let{inputs:t,backend:n,attrs:s}=e,{dy:r,filter:a}=t,{inputShape:o,strides:i,pad:l,dataFormat:u,dimRoundingMode:c}=s,d=_.convertConv2DDataFormat(u),p=_.computeConv2DInfo(o,a.shape,i,1,l,c,!1,d),h=new iJ(p);return n.runWebGLProgram(h,[r,a],"float32")}var hJ={kernelName:Ya,backendName:"webgl",kernelFunc:pJ};function fJ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,filter:a}=t,{strides:o,pad:i,dilations:l}=s,u=_.computeConv3DInfo(r.shape,a.shape,o,l,i),c=new nJ(u);return n.runWebGLProgram(c,[r,a],"float32")}var mJ={kernelName:fc,backendName:"webgl",kernelFunc:fJ};function gJ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,dy:a}=t,{strides:o,pad:i,filterShape:l}=s,u=_.computeConv3DInfo(r.shape,l,o,1,i),c=new lJ(u);return n.runWebGLProgram(c,[r,a],"float32")}var AJ={kernelName:Op,backendName:"webgl",kernelFunc:gJ};function yJ(e){let{inputs:t,backend:n,attrs:s}=e,{dy:r,filter:a}=t,{pad:o,strides:i,inputShape:l}=s,u=_.computeConv3DInfo(l,a.shape,i,1,o),c=new uJ(u);return n.runWebGLProgram(c,[r,a],"float32")}var xJ={kernelName:Pp,backendName:"webgl",kernelFunc:yJ},bJ=R4+ `
2021-09-11 16:29:31 +02:00
return cos ( x ) ;
2021-09-28 18:01:48 +02:00
` ,vJ=tt({opSnippet:bJ}),wJ={kernelName:Ja,backendName:"webgl",kernelFunc:vJ},kJ= `
2021-09-11 16:29:31 +02:00
float e2x = exp ( - x ) ;
return ( e2x + 1.0 / e2x ) / 2.0 ;
2021-09-28 18:01:48 +02:00
` ,IJ=tt({opSnippet:kJ}),SJ={kernelName:Qa,backendName:"webgl",kernelFunc:IJ},CJ=class{constructor(e,t,n,s,r){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[a,o,i,l]=e,[u]=t,[c,d]=n;this.outputShape=[u,c,d,l];let p=s==="bilinear"?1:0,[h,f]=[ ` $ { o - 1 } . 0 ` , ` $ { i - 1 } . 0 ` ],[m,g,A]=c>1?[ ` $ { ( o - 1 ) / ( c - 1 ) } ` ,"(y2-y1) * height_ratio", ` y1 * $ { h } + float ( y ) * ( height _scale ) ` ]:["0.0","0.0", ` 0.5 * ( y1 + y2 ) * $ { h } ` ],[y,x,b]=d>1?[ ` $ { ( i - 1 ) / ( d - 1 ) } ` ,"(x2-x1) * width_ratio", ` x1 * $ { f } + float ( x ) * ( width _scale ) ` ]:["0.0","0.0", ` 0.5 * ( x1 + x2 ) * $ { f } ` ];this.userCode= `
2021-09-11 17:17:13 +02:00
const float height _ratio = float ( $ { m } ) ;
2021-09-11 16:29:31 +02:00
const float width _ratio = float ( $ { y } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int y = coords [ 1 ] ;
int x = coords [ 2 ] ;
int d = coords [ 3 ] ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +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 ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
// get image in batch index
int bInd = round ( getBoxInd ( b ) ) ;
2021-09-11 17:17:13 +02:00
if ( bInd < 0 || bInd >= $ { a } ) {
2021-09-11 16:29:31 +02:00
return ;
}
float height _scale = $ { g } ;
float width _scale = $ { x } ;
float in _y = $ { A } ;
2021-09-12 18:42:17 +02:00
if ( in _y < 0.0 || in _y > $ { h } ) {
2021-09-11 16:29:31 +02:00
setOutput ( float ( $ { r } ) ) ;
return ;
}
2021-09-11 17:17:13 +02:00
float in _x = $ { b } ;
if ( in _x < 0.0 || in _x > $ { f } ) {
2021-09-11 16:29:31 +02:00
setOutput ( float ( $ { r } ) ) ;
return ;
}
vec2 sourceFracIndexCR = vec2 ( in _x , in _y ) ;
2021-09-12 18:42:17 +02:00
if ( $ { p } == 1 ) {
2021-09-11 16:29:31 +02:00
// 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 ) ;
}
}
2021-09-28 18:01:48 +02:00
` }},TJ=e=>{let{inputs:t,backend:n,attrs:s}=e,{image:r,boxes:a,boxInd:o}=t,{cropSize:i,method:l,extrapolationValue:u}=s,c=new CJ(r.shape,a.shape,i,l,u);return n.runWebGLProgram(c,[r,a,o],"float32")},NJ={kernelName:sl,backendName:"webgl",kernelFunc:TJ},K4=class{constructor(e,t,n){this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}],this.outputShape=e;let s=e.length,r=t?"0.0": ` getX ( $ { Z4 ( s , "coords" ) } ) ` ,a=e[e.length-1],o="",i="";t?(o=n? ` end != $ { a - 1 } ` :"end != 0",i=n?"end + 1":"end - 1"):(o=n? ` end + pow2 < $ { a } ` :"end >= pow2",i=n?"end + pow2":"end - pow2"),this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
2021-09-21 22:48:16 +02:00
$ { yt ( s ) } coords = getOutputCoords ( ) ;
2021-09-28 18:01:48 +02:00
int end = $ { Y4 ( s , "coords" ) } ;
2021-09-11 16:29:31 +02:00
float val = $ { r } ;
int pow2 = int ( pow ( 2.0 , index ) ) ;
2021-09-11 17:17:13 +02:00
if ( $ { o } ) {
int idx = $ { i } ;
2021-09-28 18:01:48 +02:00
$ { Y4 ( s , "coords" ) } = idx ;
val += getX ( $ { Z4 ( s , "coords" ) } ) ;
2021-09-11 16:29:31 +02:00
}
setOutput ( val ) ;
2021-09-01 00:22:16 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function Z4(e,t){if(e===1)return ` $ { t } ` ;if(e===2)return ` $ { t } . x , $ { t } . y ` ;if(e===3)return ` $ { t } . x , $ { t } . y , $ { t } . z ` ;if(e===4)return ` $ { t } . x , $ { t } . y , $ { t } . z , $ { t } . w ` ;throw Error( ` Cumulative sum for rank $ { e } is not yet supported ` )}function Y4(e,t){if(e===1)return ` $ { t } ` ;if(e===2)return ` $ { t } . y ` ;if(e===3)return ` $ { t } . z ` ;if(e===4)return ` $ { t } . w ` ;throw Error( ` Cumulative sum for rank $ { e } is not yet supported ` )}function EJ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a,exclusive:o,reverse:i}=s,l=r.shape.length,u=_.getAxesPermutation([a],l),c=r;u!=null&&(c=Fn({inputs:{x:r},backend:n,attrs:{perm:u}}));let d=_.getInnerMostAxes(1,l)[0];if(d!==l-1)throw new Error( ` WebGL cumsum shader expects an inner - most axis = $ { r . shape . length - 1 } but got axis = $ { a } ` );let p=c.shape[d],h=cs({inputs:{x:c},backend:n});for(let f=0;f<=Math.ceil(Math.log2(p))-1;f++){let m=new K4(c.shape,!1,i),g=[[f]],A=h;h=n.runWebGLProgram(m,[h],h.dtype,g),n.disposeIntermediateTensorInfo(A)}if(o){let f=new K4(c.shape,o,i),m=h;h=n.runWebGLProgram(f,[h],h.dtype),n.disposeIntermediateTensorInfo(m)}if(u!=null){let f=_.getUndoAxesPermutation(u),m=Fn({inputs:{x:h},backend:n,attrs:{perm:f}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(c),m}return h}var RJ={kernelName:eo,backendName:"webgl",kernelFunc:EJ};function DJ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,weights:a}=t,{size:o,binaryOutput:i}=s;if(r.shape.length===1){let l=n.readSync(r.dataId),u=n.readSync(a.dataId),c=m4(l,u,a.dtype,a.shape,o);return n.makeTensorInfo([o],a.dtype,c)}else if(r.shape.length===2){let l=n.bufferSync(r),u=n.bufferSync(a),c=HX(l,u,o,i);return n.makeTensorInfo(c.shape,a.dtype,c.values)}throw new Error( ` Error in denseBincount : input must be at most rank 2 , but got rank$ { r . shape . length } . ` )}var _J={kernelName:Mp,backendName:"webgl",kernelFunc:DJ}, $ J=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode= `
2021-09-11 16:29:31 +02:00
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 ) ;
}
2021-09-28 18:01:48 +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 FJ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{blockSize:a,dataFormat:o}=s;w.assert(a>1,()=> ` blockSize should be > 1 for depthToSpace , but was : $ { a } ` );let i=r.shape[0],l=o==="NHWC"?r.shape[1]:r.shape[2],u=o==="NHWC"?r.shape[2]:r.shape[3],c=o==="NHWC"?r.shape[3]:r.shape[1],d=l*a,p=u*a,h=c/(a*a),f=o==="NHWC"?[i,d,p,h]:[i,h,d,p],m=new $ J(f,a,o);return n.runWebGLProgram(m,[r],r.dtype)}var OJ={kernelName:rl,backendName:"webgl",kernelFunc:FJ},J4=class{constructor(e,t=!1,n=null,s=!1,r=!1){this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=Is(this.outputShape.length);let a=e.filterHeight,o=e.filterWidth,i=e.outChannels/e.inChannels,l="",u="";n&&(s?l= ` float activation ( float a ) {
2021-09-11 16:29:31 +02:00
float b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
} ` :r?l= ` float activation ( float a ) {
float b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
} ` :l= `
float activation ( float x ) {
$ { n }
}
2021-09-11 17:17:13 +02:00
` ,u="result = activation(result);");let c=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),s&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
2021-09-11 16:29:31 +02:00
$ { l }
2021-09-01 00:24:30 +02:00
void main ( ) {
2021-09-11 16:29:31 +02:00
ivec4 coords = getOutputCoords ( ) ;
int batch = coords . x ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int d2 = coords . w ;
2021-09-11 17:17:13 +02:00
int d1 = d2 / $ { i } ;
int q = d2 - d1 * $ { i } ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
// 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.
2021-09-11 17:17:13 +02:00
for ( int wR = 0 ; wR < $ { a } ; wR ++ ) {
2021-09-11 16:29:31 +02:00
int xR = xRCorner + wR * dilations [ 0 ] ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
if ( xR < 0 || xR >= inDims [ 0 ] ) {
continue ;
}
2021-09-11 17:17:13 +02:00
for ( int wC = 0 ; wC < $ { o } ; wC ++ ) {
2021-09-11 16:29:31 +02:00
int xC = xCCorner + wC * dilations [ 1 ] ;
if ( xC < 0 || xC >= inDims [ 1 ] ) {
continue ;
}
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
float xVal = getX ( batch , xR , xC , d1 ) ;
float wVal = getW ( wR , wC , d1 , q ) ;
dotProd += xVal * wVal ;
}
2021-09-05 22:42:11 +02:00
}
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
float result = dotProd ;
2021-09-11 17:17:13 +02:00
$ { c }
2021-09-11 16:29:31 +02:00
$ { u }
setOutput ( result ) ;
}
2021-09-28 18:01:48 +02:00
` }},Q4=class{constructor(e,t=!1,n=null,s=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=Is(this.outputShape.length);let a=e.outChannels/e.inChannels,o=e.padInfo.left,i=e.strideWidth,l=e.dilationWidth,u=e.filterHeight,c=e.filterWidth,d=c,p= `
2021-09-11 16:29:31 +02:00
int xR ; int xC ; int xCOffset ;
2021-09-12 18:42:17 +02:00
vec4 wTexel ; vec4 previous ; vec4 final ; ` ;for(let g=0;g<c;g++)p+= `
2021-09-11 16:29:31 +02:00
vec4 xTexelC$ { g * 2 } ;
int xTexelC$ { g * 2 } Ready ;
vec4 xTexelC$ { g * 2 + 1 } ;
int xTexelC$ { g * 2 + 1 } Ready ;
2021-09-12 18:42:17 +02:00
vec4 xC$ { g } ; ` ;for(let g=0;g<u;g++){for(let A=0;A<c;A++)p+= `
2021-09-11 16:29:31 +02:00
xTexelC$ { A * 2 } = vec4 ( 0.0 ) ;
xTexelC$ { A * 2 } Ready = 0 ;
xTexelC$ { A * 2 + 1 } = vec4 ( 0.0 ) ;
xTexelC$ { A * 2 + 1 } Ready = 0 ;
2021-09-12 18:42:17 +02:00
xC$ { A } = vec4 ( 0.0 ) ; ` ;p+= `
2021-09-11 16:29:31 +02:00
xR = xRCorner + $ { g } * dilations [ 0 ] ;
if ( xR >= 0 && xR < inDims [ 0 ] ) {
2021-09-12 18:42:17 +02:00
` ;for(let A=0;A<(d+1)/2;A++){let y=A*2;if(p+= `
2021-09-11 16:29:31 +02:00
xC = xCCorner + $ { y * l } ;
2021-09-12 18:42:17 +02:00
` ,i===1){if(y<c&&(o%2==1?(p+= `
2021-09-11 16:29:31 +02:00
xCOffset = xC + 1 ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { y } Ready == 0 ) {
xTexelC$ { y } = getX ( batch , xR , xCOffset , d1 ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { y } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { y } Ready = 1 ;
}
2021-09-12 18:42:17 +02:00
` ,l===1&&y>0?p+= `
2021-09-11 16:29:31 +02:00
xC$ { y } = vec4 ( xTexelC$ { y - 2 } . zw , xTexelC$ { y } . xy ) ;
2021-09-12 18:42:17 +02:00
` :p+= `
2021-09-11 16:29:31 +02:00
xCOffset = xC + 1 - 2 ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] ) {
previous = getX ( batch , xR , xCOffset , d1 ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
previous . zw = vec2 ( 0.0 ) ;
}
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
xC$ { y } = vec4 ( previous . zw , xTexelC$ { y } . xy ) ;
} else {
xC$ { y } = vec4 ( 0.0 , 0.0 , xTexelC$ { y } . xy ) ;
}
2021-09-12 18:42:17 +02:00
` ):p+= `
2021-09-11 16:29:31 +02:00
if ( xC >= 0 && xC < inDims [ 1 ] && xTexelC$ { y } Ready == 0 ) {
xTexelC$ { y } = getX ( batch , xR , xC , d1 ) ;
if ( xC + 1 >= inDims [ 1 ] ) {
xTexelC$ { y } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { y } Ready = 1 ;
}
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
xC$ { y } = xTexelC$ { y } ;
2021-09-12 18:42:17 +02:00
` ,y+1<c)){let x=o%2==0?w.nearestLargerEven(l):l;l%2==0&&o%2==1||l%2!=0&&o%2!=1?(p+= `
2021-09-11 16:29:31 +02:00
xCOffset = xC + imod ( pads [ 1 ] , 2 ) + $ { x } ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { y + 1 } Ready == 0 ) {
xTexelC$ { y + 1 } = getX ( batch , xR , xCOffset , d1 ) ;
2021-09-05 22:42:11 +02:00
2021-09-11 16:29:31 +02:00
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { y + 1 } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { y + 1 } Ready = 1 ;
}
2021-09-12 18:42:17 +02:00
` ,l>1&&(p+= `
2021-09-11 16:29:31 +02:00
xCOffset -= 2 ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { y } Ready == 0 ) {
xTexelC$ { y } = getX ( batch , xR , xCOffset , d1 ) ;
xTexelC$ { y } Ready = 1 ;
}
2021-09-12 18:42:17 +02:00
` ),p+= `
2021-09-11 16:29:31 +02:00
xC$ { y + 1 } = vec4 ( xTexelC$ { y } . zw , xTexelC$ { y + 1 } . xy ) ;
2021-09-12 18:42:17 +02:00
` ):x===1?p+= `
2021-09-11 16:29:31 +02:00
xC$ { y + 1 } = xTexelC$ { y } ;
2021-09-12 18:42:17 +02:00
` :p+= `
2021-09-11 16:29:31 +02:00
xCOffset = xC + $ { x } ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { y + 1 } Ready == 0 ) {
xTexelC$ { y + 1 } = getX ( batch , xR , xCOffset , d1 ) ;
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { y + 1 } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { y + 1 } Ready = 1 ;
}
xC$ { y + 1 } = xTexelC$ { y + 1 } ;
2021-09-12 18:42:17 +02:00
` }}else y<c&&(o%2==1?(p+= `
2021-09-11 16:29:31 +02:00
xCOffset = xC + 1 - strides [ 1 ] ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { y } Ready == 0 ) {
xTexelC$ { y } = getX ( batch , xR , xCOffset , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { y } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { y } Ready = 1 ;
}
if ( xC + 1 >= 0 && xC + 1 < inDims [ 1 ] && xTexelC$ { y + 1 } Ready == 0 ) {
xTexelC$ { y + 1 } = getX ( batch , xR , xC + 1 , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xC + 2 >= inDims [ 1 ] ) {
xTexelC$ { y + 1 } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { y + 1 } Ready = 1 ;
}
xC$ { y } = vec4 ( xTexelC$ { y } . zw , xTexelC$ { y + 1 } . zw ) ;
2021-09-12 18:42:17 +02:00
` ,y+1<c&&(p+= `
2021-09-11 16:29:31 +02:00
final = vec4 ( 0.0 ) ;
xCOffset = xC + 1 + strides [ 1 ] ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] ) {
final = getX ( batch , xR , xCOffset , d1 ) ;
}
xC$ { y + 1 } = vec4 ( xTexelC$ { y + 1 } . xy , final . xy ) ;
2021-09-12 18:42:17 +02:00
` )):(p+= `
2021-09-11 16:29:31 +02:00
if ( xC >= 0 && xC < inDims [ 1 ] && xTexelC$ { y } Ready == 0 ) {
xTexelC$ { y } = getX ( batch , xR , xC , d1 ) ;
if ( xC + 1 >= inDims [ 1 ] ) {
xTexelC$ { y } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { y } Ready = 1 ;
}
xCOffset = xC + strides [ 1 ] ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { y + 1 } Ready == 0 ) {
xTexelC$ { y + 1 } = getX ( batch , xR , xCOffset , d1 ) ;
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { y + 1 } . zw = vec2 ( 0. ) ;
}
xTexelC$ { y + 1 } Ready = 1 ;
}
xC$ { y } = vec4 (
xTexelC$ { y } . xy , xTexelC$ { y + 1 } . xy ) ;
2021-09-12 18:42:17 +02:00
` ,y+1<c&&(p+= `
2021-09-11 16:29:31 +02:00
xC$ { y + 1 } = vec4 ( xTexelC$ { y } . zw , xTexelC$ { y + 1 } . zw ) ;
2021-09-12 18:42:17 +02:00
` )));y<c&&(p+= `
2021-09-11 16:29:31 +02:00
wTexel = getW ( $ { g } , $ { y } , d1 , q ) ;
dotProd += xC$ { y } * vec4 ( wTexel . xz , wTexel . xz ) ;
2021-09-12 18:42:17 +02:00
` ,y+1<c&&(p+= `
2021-09-11 16:29:31 +02:00
wTexel = getW ( $ { g } , $ { y + 1 } , d1 , q ) ;
dotProd += xC$ { y + 1 } * vec4 ( wTexel . xz , wTexel . xz ) ;
2021-09-12 18:42:17 +02:00
` ))}p+= `
2021-09-11 16:29:31 +02:00
}
2021-09-12 18:42:17 +02:00
` }let h="",f="";n&&(s?h= ` vec4 activation ( vec4 a ) {
2021-09-11 16:29:31 +02:00
vec4 b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
2021-09-12 18:42:17 +02:00
} ` :r?h= ` vec4 activation ( vec4 a ) {
2021-09-11 16:29:31 +02:00
vec4 b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
2021-09-12 18:42:17 +02:00
} ` :h= ` vec4 activation ( vec4 x ) {
2021-09-11 16:29:31 +02:00
$ { n }
2021-09-11 17:17:13 +02:00
} ` ,f="result = activation(result);");let m=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),s&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
2021-09-12 18:42:17 +02:00
$ { h }
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords . x ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int d2 = coords . w ;
2021-09-11 17:17:13 +02:00
int d1 = d2 / $ { a } ;
int q = d2 - d1 * $ { a } ;
2021-09-11 16:29:31 +02:00
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 ) ;
2021-09-12 18:42:17 +02:00
$ { p }
2021-09-11 16:29:31 +02:00
vec4 result = dotProd - vec4 ( 0.000000000000001 ) ;
$ { m }
2021-09-11 17:17:13 +02:00
$ { f }
2021-09-11 16:29:31 +02:00
setOutput ( result ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function PJ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,filter:a}=t,{strides:o,pad:i,dilations:l,dimRoundingMode:u}=s,c=l;c==null&&(c=[1,1]),w.assert(_.eitherStridesOrDilationsAreOne(o,c),()=> ` Error in depthwiseConv2d : Either strides or dilations must be 1. Got strides $ { o } and dilations '${c}' ` );let d=_.computeConv2DInfo(r.shape,a.shape,o,c,i,u,!0),p;Y().getBool("WEBGL_PACK_DEPTHWISECONV")&&d.strideWidth<=2&&d.outChannels/d.inChannels==1?p=new Q4(d):p=new J4(d);let h=[[d.padInfo.top,d.padInfo.left],[d.strideHeight,d.strideWidth],[d.dilationHeight,d.dilationWidth],[d.inHeight,d.inWidth]];return n.runWebGLProgram(p,[r,a],"float32",h)}var MJ={kernelName:to,backendName:"webgl",kernelFunc:PJ},zJ=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,s=e.padInfo.top,r=e.padInfo.left,a=e.outChannels/e.inChannels;this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int wR = coords . x ;
int wC = coords . y ;
int d1 = coords . z ;
int dm = coords . w ;
2021-09-11 17:17:13 +02:00
int d2 = d1 * $ { a } + dm ;
2021-09-11 16:29:31 +02:00
float dotProd = 0.0 ;
// TO DO: Vec4 over the batch size
for ( int b = 0 ; b < $ { e . batchSize } ; b ++ ) {
for ( int yR = 0 ; yR < $ { e . outHeight } ; yR ++ ) {
2021-09-11 17:17:13 +02:00
int xR = wR + yR * $ { t } - $ { s } ;
2021-09-11 16:29:31 +02:00
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
for ( int yC = 0 ; yC < $ { e . outWidth } ; yC ++ ) {
int xC = wC + yC * $ { n } - $ { r } ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
float dyValue = getDy ( b , yR , yC , d2 ) ;
float xValue = getX ( b , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
}
}
}
setOutput ( dotProd ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }},LJ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,s=e.strideHeight,r=e.strideWidth,a=t-1-e.padInfo.top,o=n-1-e.padInfo.left,i=e.outChannels/e.inChannels;this.userCode= `
2021-09-11 17:17:13 +02:00
const ivec2 pads = ivec2 ( $ { a } , $ { o } ) ;
2021-09-11 16:29:31 +02:00
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 ++ ) {
2021-09-11 17:17:13 +02:00
float dyR = float ( dyRCorner + wR ) / $ { s } . 0 ;
2021-09-11 16:29:31 +02:00
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 ) / $ { r } . 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
2021-09-11 17:17:13 +02:00
for ( int dm = 0 ; dm < $ { i } ; dm ++ ) {
int d2 = d1 * $ { i } + dm ;
2021-09-11 16:29:31 +02:00
float xValue = getDy ( batch , idyR , idyC , d2 ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , dm ) ;
dotProd += xValue * wValue ;
}
}
}
setOutput ( dotProd ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function BJ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,dy:a}=t,{strides:o,dilations:i,pad:l,dimRoundingMode:u,filterShape:c}=s,d=_.computeConv2DInfo(r.shape,c,o,i,l,u,!0),p=new zJ(d);return n.runWebGLProgram(p,[r,a],"float32")}var WJ={kernelName:zp,backendName:"webgl",kernelFunc:BJ};function VJ(e){let{inputs:t,backend:n,attrs:s}=e,{dy:r,filter:a}=t,{strides:o,dilations:i,pad:l,dimRoundingMode:u,inputShape:c}=s,d=_.computeConv2DInfo(c,a.shape,o,i,l,u,!0),p=new LJ(d);return n.runWebGLProgram(p,[r,a],"float32")}var UJ={kernelName:Lp,backendName:"webgl",kernelFunc:VJ},HJ=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
float val = coords [ 0 ] == coords [ 1 ] ? getX ( coords [ 0 ] ) : 0.0 ;
setOutput ( val ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function GJ(e){let{inputs:t,backend:n}=e,{x:s}=t,r=[...s.shape,...s.shape],a=w.sizeFromShape(s.shape),o=be({inputs:{x:s},backend:n,attrs:{shape:[a]}}),i=new HJ(a),l=n.runWebGLProgram(i,[o],o.dtype),u=be({inputs:{x:l},backend:n,attrs:{shape:r}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(l),u}var jJ={kernelName:Bp,backendName:"webgl",kernelFunc:GJ},qJ=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:n,padInfo:s,strideHeight:r,strideWidth:a,filterHeight:o,filterWidth:i,dilationHeight:l,dilationWidth:u}=e,{top:c,left:d}=s;this.userCode= `
2021-09-11 17:17:13 +02:00
const ivec2 strides = ivec2 ( $ { r } , $ { a } ) ;
const ivec2 pads = ivec2 ( $ { c } , $ { d } ) ;
2021-09-11 16:29:31 +02:00
const float neg _infinity = - 3.4 e38 ;
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 ;
float curVal = neg _infinity ;
2021-09-11 17:17:13 +02:00
for ( int h = 0 ; h < $ { o } ; h ++ ) {
2021-09-11 16:29:31 +02:00
int hIn = hBeg + h * $ { l } ;
if ( hIn >= 0 && hIn < $ { t } ) {
2021-09-11 17:17:13 +02:00
for ( int w = 0 ; w < $ { i } ; w ++ ) {
2021-09-11 16:29:31 +02:00
int wIn = wBeg + w * $ { u } ;
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 ;
}
}
}
}
}
float result = curVal ;
setOutput ( result ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function XJ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,filter:a}=t,{strides:o,pad:i,dilations:l}=s,u=_.computeDilation2DInfo(r.shape,a.shape,o,i,"NHWC",l),c,d=new qJ(u);c=n.runWebGLProgram(d,[r,a],"float32");let p=be({inputs:{x:c},backend:n,attrs:{shape:u.outShape}});return n.disposeIntermediateTensorInfo(c),p}var KJ={kernelName:mc,backendName:"webgl",kernelFunc:XJ};function ZJ(e){let{inputs:t,backend:n,attrs:s}=e,{equation:r}=s,a=t,{allDims:o,summedDims:i,idDims:l}=_.decodeEinsumEquation(r,a.length);_.checkEinsumDimSizes(o.length,l,a);let{path:u,steps:c}=_.getEinsumComputePath(i,l),d=c.length,p=null,h=o.length,f=[];for(let m=0;m<d;++m){for(let g of c[m]){let{permutationIndices:A,expandDims:y}=_.getEinsumPermutation(h,l[g]),x;_.isIdentityPermutation(A)?x=a[g]:(x=Fn({inputs:{x:a[g]},backend:n,attrs:{perm:A}}),f.push(x));let b=x.shape.slice();for(let v=0;v<y.length;++v)b.splice(y[v],0,1);w.arraysEqual(x.shape,b)||(x=be({inputs:{x},backend:n,attrs:{shape:b}}),f.push(x)),p===null?p=x:(p=O2({inputs:{a:x,b:p},backend:n}),f.push(p))}m<d-1&&(u[m]>=0&&(p=g0({inputs:{x:p},backend:n,attrs:{axis:u[m]-(o.length-h),keepDims:!1}}),f.push(p)),h--)}for(let m of f)m!==p&&n.disposeIntermediateTensorInfo(m);return p}var YJ={kernelName:Up,backendName:"webgl",kernelFunc:ZJ},JJ="return (x >= 0.0) ? x : (exp(x) - 1.0);",QJ= `
2021-09-11 16:29:31 +02:00
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 ;
2021-09-28 18:01:48 +02:00
` ,eQ=tt({opSnippet:JJ,packedOpSnippet:QJ}),tQ={kernelName:so,backendName:"webgl",kernelFunc:eQ},nQ="return (b >= 1.0) ? a : a * (b + 1.0);",sQ= `
2021-09-11 16:29:31 +02:00
vec4 bGTEZero = vec4 ( greaterThanEqual ( b , vec4 ( 0. ) ) ) ;
return ( bGTEZero * a ) + ( ( vec4 ( 1.0 ) - bGTEZero ) * ( a * ( b + vec4 ( 1.0 ) ) ) ) ;
2021-09-28 18:01:48 +02:00
` ,rQ=e=>{let{inputs:t,backend:n}=e,{dy:s,y:r}=t,a=Y().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new _d(sQ,s.shape,r.shape):new $ u(nQ,s.shape,r.shape);return n.runWebGLProgram(a,[s,r],s.dtype)},aQ={kernelName:Hp,backendName:"webgl",kernelFunc:rQ},oQ= `
2021-09-11 16:29:31 +02:00
return vec4 ( equal ( a , b ) ) ;
2021-09-28 18:01:48 +02:00
` ,iQ="return float(a == b);",lQ=bn({opSnippet:iQ,packedOpSnippet:oQ,dtype:"bool",cpuKernelImpl:qX}),uQ={kernelName:ol,backendName:"webgl",kernelFunc:lQ},cQ= `
2021-09-11 16:29:31 +02:00
// Error function is calculated approximately with elementary function.
// See "Handbook of Mathematical Functions with Formulas,
// Graphs, and Mathematical Tables", Abramowitz and Stegun.
2021-09-15 04:07:13 +02:00
float p = $ { _ . ERF _P } ;
float a1 = $ { _ . ERF _A1 } ;
float a2 = $ { _ . ERF _A2 } ;
float a3 = $ { _ . ERF _A3 } ;
float a4 = $ { _ . ERF _A4 } ;
float a5 = $ { _ . ERF _A5 } ;
2021-09-11 16:29:31 +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 ) ) ;
2021-09-28 18:01:48 +02:00
` ,dQ=tt({opSnippet:cQ}),pQ={kernelName:al,backendName:"webgl",kernelFunc:dQ},ek="return exp(x);",tk=tt({opSnippet:ek,packedOpSnippet:ek,cpuKernelImpl:XX}),hQ={kernelName:ro,backendName:"webgl",kernelFunc:tk};function L2(e){let{inputs:t,attrs:n,backend:s}=e,{dim:r}=n,{input:a}=t,o=a.shape.length,i=a.shape.slice(),l=r;return r<0&&(w.assert(-(o+1)<=r,()=> ` Axis must be in the interval [ $ { - ( o + 1 ) } , $ { o } ] ` ),l=o+r+1),i.splice(l,0,1),be({inputs:{x:a},backend:s,attrs:{shape:i}})}var fQ={kernelName:il,backendName:"webgl",kernelFunc:L2},nk="return exp(x) - 1.0;",mQ=tt({opSnippet:nk,packedOpSnippet:nk,cpuKernelImpl:KX}),gQ={kernelName:ll,backendName:"webgl",kernelFunc:mQ},sk=class{constructor(e,t,n){this.variableNames=["real","imag"];let s=t[1];this.outputShape=t;let r=n? ` 2.0 * $ { Math . PI } ` : ` - 2.0 * $ { Math . PI } ` ,a=n? ` $ { s } . 0 ` :"1.0",o;if(e==="real")o="return real * expR - imag * expI;";else if(e==="imag")o="return real * expI + imag * expR;";else throw new Error( ` FFT component must be either "real" or "imag" , got $ { e } . ` );this.userCode= `
2021-09-11 16:29:31 +02:00
const float exponentMultiplier = $ { r } ;
float unaryOpComplex ( float real , float expR , float imag , float expI ) {
2021-09-11 17:17:13 +02:00
$ { o }
2021-09-01 00:24:30 +02:00
}
2021-09-11 16:29:31 +02:00
float mulMatDFT ( int batch , int index ) {
2021-09-11 17:17:13 +02:00
float indexRatio = float ( index ) / float ( $ { s } ) ;
2021-09-11 16:29:31 +02:00
float exponentMultiplierTimesIndexRatio =
exponentMultiplier * indexRatio ;
float result = 0.0 ;
2021-09-11 17:17:13 +02:00
for ( int i = 0 ; i < $ { s } ; i ++ ) {
2021-09-11 16:29:31 +02:00
// 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 +=
2021-09-11 17:17:13 +02:00
unaryOpComplex ( real , expR , imag , expI ) / $ { a } ;
2021-09-11 16:29:31 +02:00
}
return result ;
2021-08-14 17:16:26 +02:00
}
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
setOutput ( mulMatDFT ( coords [ 0 ] , coords [ 1 ] ) ) ;
}
2021-09-28 18:01:48 +02:00
` }};function rk(e,t,n){let s=n.texData.get(e.dataId),r=w.sizeFromShape(e.shape),a=e.shape[e.shape.length-1],o=r/a,i=be({inputs:{x:e},backend:n,attrs:{shape:[o,a]}}),l=i.shape,u=new sk("real",l,t),c=new sk("imag",l,t),d=[{dataId:s.complexTensorInfos.real.dataId,dtype:s.complexTensorInfos.real.dtype,shape:l},{dataId:s.complexTensorInfos.imag.dataId,dtype:s.complexTensorInfos.imag.dtype,shape:l}],p=n.runWebGLProgram(u,d,"float32"),h=n.runWebGLProgram(c,d,"float32"),f=Ra({inputs:{real:p,imag:h},backend:n});n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h);let m=be({inputs:{x:f},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(f),m}function AQ(e){let{inputs:t,backend:n}=e,{input:s}=t;return rk(s,!1,n)}var yQ={kernelName:Gp,backendName:"webgl",kernelFunc:AQ},xQ=class{constructor(e,t){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=e,this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
// Input can be obtained from uniform value.
setOutput ( value ) ;
}
2021-09-28 18:01:48 +02:00
` }};function Od(e){let{backend:t,attrs:n}=e,{shape:s,value:r}=n,{dtype:a}=n;if(a=a||w.inferDtype(r),a==="string"){let o=w.getArrayFromDType(a,w.sizeFromShape(s));return o.fill(r),t.makeTensorInfo(s,a,o)}else{let o=new xQ(s,r),i=[[r]];return t.runWebGLProgram(o,[],a,i)}}var bQ={kernelName:gc,backendName:"webgl",kernelFunc:Od},vQ=class{constructor(e){this.variableNames=["Image"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int x = coords [ 2 ] ;
int coordX = $ { t } - x - 1 ;
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 ) ;
}
2021-09-28 18:01:48 +02:00
` }},wQ={kernelName:ul,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{let{image:n}=e,s=t,r=new vQ(n.shape);return s.runWebGLProgram(r,[n],n.dtype)}},ak="return floor(x);",kQ=tt({opSnippet:ak,packedOpSnippet:ak,cpuKernelImpl:ZX}),IQ={kernelName:ao,backendName:"webgl",kernelFunc:kQ},SQ= `
2021-09-11 16:29:31 +02:00
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 ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` ,CQ= `
2021-09-11 16:29:31 +02:00
ivec4 ia = round ( a ) ;
ivec4 ib = round ( b ) ;
bvec4 cond = notEqual ( ib , ivec4 ( 0 ) ) ;
ivec4 result = ivec4 ( 0 ) ;
vec4 s = sign ( a ) * sign ( b ) ;
// Windows (D3D) wants guaranteed non-zero int division at compile-time.
if ( cond [ 0 ] ) {
result [ 0 ] = idiv ( ia [ 0 ] , ib [ 0 ] , s [ 0 ] ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
if ( cond [ 1 ] ) {
result [ 1 ] = idiv ( ia [ 1 ] , ib [ 1 ] , s [ 1 ] ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
if ( cond [ 2 ] ) {
result [ 2 ] = idiv ( ia [ 2 ] , ib [ 2 ] , s [ 2 ] ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
if ( cond [ 3 ] ) {
result [ 3 ] = idiv ( ia [ 3 ] , ib [ 3 ] , s [ 3 ] ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
return vec4 ( result ) ;
2021-09-28 18:01:48 +02:00
` ,TQ=bn({opSnippet:SQ,packedOpSnippet:CQ,dtype:"int32"}),NQ={kernelName:oo,backendName:"webgl",kernelFunc:TQ},EQ=class{constructor(e){this.variableNames=["A"];let t=_n(),[n,s]=e;this.outputShape=e,this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
int texR = coords [ 0 ] ;
int texC = coords [ 1 ] ;
int depth = coords [ 2 ] ;
2021-09-11 17:17:13 +02:00
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { s } . 0 , $ { n } . 0 ) ;
2021-09-11 16:29:31 +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 ) ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }},RQ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=_n(),[n,s]=e;this.outputShape=e,this.userCode= `
2021-09-11 16:29:31 +02:00
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 ) /
2021-09-11 17:17:13 +02:00
vec2 ( $ { s } . 0 , $ { n } . 0 ) ;
2021-09-11 16:29:31 +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 ;
}
result [ row * 2 + col ] = floor ( value * 255.0 + 0.5 ) ;
}
}
$ { t . output } = result ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }},DQ={kernelName:ph,backendName:"webgl",kernelFunc:_Q},Pu;function _Q(e){let{inputs:t,backend:n,attrs:s}=e,{pixels:r}=t,{numChannels:a}=s,o=typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement,i=typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement,[l,u]=o?[r.videoWidth,r.videoHeight]:[r.width,r.height],c=[u,l],d=[u,l,a];(i||o)&&(Pu==null&&(Pu=document.createElement("canvas").getContext("2d")),Pu.canvas.width=l,Pu.canvas.height=u,Pu.drawImage(r,0,0,l,u),r=Pu.canvas);let p=n.makeTensorInfo(c,"int32");n.texData.get(p.dataId).usage=ws.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(p.dataId),r);let h=Y().getBool("WEBGL_PACK")?new RQ(d):new EQ(d),f=n.runWebGLProgram(h,[p],"int32");return n.disposeData(p.dataId),f}function $ Q(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,filter:a,bias:o,preluActivationWeights:i}=t,{strides:l,pad:u,dataFormat:c,dilations:d,dimRoundingMode:p,activation:h,leakyreluAlpha:f}=s,m=_.convertConv2DDataFormat(c),g=_.computeConv2DInfo(r.shape,a.shape,l,d,u,p,!1,m),A,y=[];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"))A=q4({x:r,filter:a,convInfo:g,backend:n,bias:o,activation:h,preluActivationWeights:i,leakyreluAlpha:f});else if(Y().getBool("WEBGL_CONV_IM2COL")&&r.shape[0]===1)A=X4({x:r,filter:a,convInfo:g,backend:n,bias:o,activation:h,preluActivationWeights:i,leakyreluAlpha:f});else{let b=o!=null,v=i!=null,k=h==="leakyrelu",S=h?f0(h,!1):null,C=new j4(g,b,S,v,k),D=[r,a];if(o&&D.push(o),i&&D.push(i),k){let O=n.makeTensorInfo([],"float32",w.createScalarValue(f,"float32"));D.push(O),y.push(O)}A=n.runWebGLProgram(C,D,"float32")}let x=be({inputs:{x:A},backend:n,attrs:{shape:g.outShape}});return y.push(A),y.forEach(b=>n.disposeIntermediateTensorInfo(b)),x}var FQ={kernelName:Vo,backendName:"webgl",kernelFunc: $ Q};function OQ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,filter:a,bias:o,preluActivationWeights:i}=t,{strides:l,pad:u,dilations:c,dimRoundingMode:d,activation:p,leakyreluAlpha:h}=s,f=[],m=c;m==null&&(m=[1,1]),w.assert(_.eitherStridesOrDilationsAreOne(l,m),()=> ` Error in depthwiseConv2d : Either strides or dilations must be 1. Got strides $ { l } and dilations '${m}' ` );let g=_.computeConv2DInfo(r.shape,a.shape,l,m,u,d,!0),A=Y().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels==1,y=p?f0(p,A):null,x=[r,a],b=o!=null,v=i!=null,k=p==="leakyrelu";if(b&&x.push(o),v&&x.push(i),k){let O=n.makeTensorInfo([],"float32",w.createScalarValue(h,"float32"));x.push(O),f.push(O)}let S;A?S=new Q4(g,b,y,v,k):S=new J4(g,b,y,v,k);let C=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],D=n.runWebGLProgram(S,x,"float32",C);return f.forEach(O=>n.disposeIntermediateTensorInfo(O)),D}var PQ={kernelName:Uo,backendName:"webgl",kernelFunc:OQ},MQ=class{constructor(e,t,n){this.sliceDim=e,this.strides=t,this.variableNames=["x","indices"],this.outputShape=n;let s=yt(t.length),r=yt(n.length),a=this.sliceDim>1?"strides[j]":"strides";this.userCode= `
2021-09-11 17:17:13 +02:00
$ { s } strides = $ { s } ( $ { this . strides } ) ;
2021-09-11 16:29:31 +02:00
void main ( ) {
$ { r } coords = getOutputCoords ( ) ;
int flattenIndex = 0 ;
for ( int j = 0 ; j < $ { this . sliceDim } ; j ++ ) {
int index = round ( getIndices ( coords [ 0 ] , j ) ) ;
2021-09-11 17:17:13 +02:00
flattenIndex += index * $ { a } ;
2021-09-11 16:29:31 +02:00
}
setOutput ( getX ( flattenIndex , coords [ 1 ] ) ) ;
2021-09-01 00:24:30 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function zQ(e){let{inputs:t,backend:n}=e,{params:s,indices:r}=t,a=r.shape,o=a[a.length-1],i=w.sizeFromShape(s.shape),[l,u,c,d]=_.prepareAndValidate(s,r),p=be({inputs:{x:r},backend:n,attrs:{shape:[u,o]}}),h=be({inputs:{x:s},backend:n,attrs:{shape:[w.sizeFromShape(s.shape)/c,c]}});if(n.shouldExecuteOnCPU([s,r])||s.dtype==="string"){let A=n.readSync(r.dataId),y=n.bufferSync(s),x=YX(A,y,s.dtype,u,o,c,d,s.shape,i);return n.makeTensorInfo(l,s.dtype,x.values)}let f=new MQ(o,d,[u,c]),m=n.runWebGLProgram(f,[h,p],h.dtype),g=be({inputs:{x:m},backend:n,attrs:{shape:l}});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),g}var LQ={kernelName:dl,backendName:"webgl",kernelFunc:zQ},BQ=class{constructor(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;let n=yt(this.rank),s=WQ(e,2);this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
$ { n } resRC = getOutputCoords ( ) ;
2021-09-11 17:17:13 +02:00
setOutput ( getA ( $ { s } ) ) ;
2021-09-01 00:24:30 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function WQ(e,t){let n=["resRC.x","resRC.y","resRC.z","resRC.w"],s=[];for(let r=0;r<e.length;r++)r===2?s.push("int(getIndices(resRC.x, resRC.z))"):s.push( ` $ { n [ r ] } ` );return s.join()}function ok(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,indices:a}=t,{axis:o,batchDims:i}=s,l=w.parseAxisParam(o,r.shape)[0],u=_.segment_util.collectGatherOpShapeInfo(r,a,l,i),c=w.sizeFromShape(a.shape),d=[],p=be({inputs:{x:r},backend:n,attrs:{shape:[u.batchSize,u.outerSize,u.dimSize,u.sliceSize]}}),h=be({inputs:{x:a},backend:n,attrs:{shape:[u.batchSize,c/u.batchSize]}});d.push(p),d.push(h);let f=[u.batchSize,u.outerSize,c/u.batchSize,u.sliceSize];if(n.shouldExecuteOnCPU([r,a])||r.dtype==="string"){let y=n.bufferSync(h),x=n.bufferSync(p),b=JX(x,y,f);return d.forEach(v=>n.disposeIntermediateTensorInfo(v)),n.makeTensorInfo(u.outputShape,b.dtype,b.values)}let m=new BQ(p.shape,f),g=n.runWebGLProgram(m,[p,h],p.dtype);d.push(g);let A=be({inputs:{x:g},backend:n,attrs:{shape:u.outputShape}});return d.forEach(y=>n.disposeIntermediateTensorInfo(y)),A}var VQ={kernelName:cl,backendName:"webgl",kernelFunc:ok},UQ="return float(a > b);",HQ= `
2021-09-11 16:29:31 +02:00
return vec4 ( greaterThan ( a , b ) ) ;
2021-09-28 18:01:48 +02:00
` ,GQ=bn({opSnippet:UQ,packedOpSnippet:HQ,cpuKernelImpl:QX,dtype:"bool"}),jQ={kernelName:pl,backendName:"webgl",kernelFunc:GQ},qQ="return float(a >= b);",XQ= `
2021-09-11 16:29:31 +02:00
return vec4 ( greaterThanEqual ( a , b ) ) ;
2021-09-28 18:01:48 +02:00
` ,KQ=bn({opSnippet:qQ,packedOpSnippet:XQ,dtype:"bool",cpuKernelImpl:eK}),ZQ={kernelName:lo,backendName:"webgl",kernelFunc:KQ};function YQ(e){let{inputs:t,backend:n}=e,{input:s}=t;return rk(s,!0,n)}var JQ={kernelName:jp,backendName:"webgl",kernelFunc:YQ},QQ="return float(!isnan(x) && !isinf(x));",eee=tt({opSnippet:QQ,dtype:"bool"}),tee={kernelName:hl,backendName:"webgl",kernelFunc:eee},nee="return float(isinf(x));",see=tt({opSnippet:nee,dtype:"bool"}),ree={kernelName:fl,backendName:"webgl",kernelFunc:see},aee="return float(isnan(x));",oee=tt({opSnippet:aee,dtype:"bool"}),iee={kernelName:ml,backendName:"webgl",kernelFunc:oee},lee="return float(a < b);",uee= `
2021-09-11 16:29:31 +02:00
return vec4 ( lessThan ( a , b ) ) ;
2021-09-28 18:01:48 +02:00
` ,cee=bn({opSnippet:lee,packedOpSnippet:uee,cpuKernelImpl:tK,dtype:"bool"}),dee={kernelName:gl,backendName:"webgl",kernelFunc:cee},pee="return float(a <= b);",hee= `
2021-09-11 16:29:31 +02:00
return vec4 ( lessThanEqual ( a , b ) ) ;
2021-09-28 18:01:48 +02:00
` ,fee=bn({opSnippet:pee,packedOpSnippet:hee,cpuKernelImpl:nK,dtype:"bool"}),mee={kernelName:Al,backendName:"webgl",kernelFunc:fee};function gee(e){let{backend:t,attrs:n}=e,{start:s,stop:r,num:a}=n,o=sK(s,r,a);return t.makeTensorInfo([o.length],"float32",o)}var Aee={kernelName:Xp,backendName:"webgl",kernelFunc:gee},yee= ` if ( x < 0.0 ) return NAN ;
return log ( x ) ; ` ,xee= `
2021-09-11 16:29:31 +02:00
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 ;
2021-09-28 18:01:48 +02:00
` ,bee=tt({opSnippet:yee,packedOpSnippet:xee,cpuKernelImpl:rK}),vee={kernelName:po,backendName:"webgl",kernelFunc:bee},wee="return log(1.0 + x);",kee=tt({opSnippet:wee}),Iee={kernelName:yl,backendName:"webgl",kernelFunc:kee},See="return float(a >= 1.0 && b >= 1.0);",Cee= `
2021-09-11 16:29:31 +02:00
return vec4 (
vec4 ( greaterThanEqual ( a , vec4 ( 1.0 ) ) ) *
vec4 ( greaterThanEqual ( b , vec4 ( 1.0 ) ) ) ) ;
2021-09-28 18:01:48 +02:00
` ,Tee=bn({opSnippet:See,packedOpSnippet:Cee,dtype:"bool"}),Nee={kernelName:xl,backendName:"webgl",kernelFunc:Tee},Eee="return float(!(x >= 1.0));",Ree=tt({opSnippet:Eee}),Dee={kernelName:Ac,backendName:"webgl",kernelFunc:Ree},_ee="return float(a >= 1.0 || b >= 1.0);", $ ee= `
2021-09-11 16:29:31 +02:00
return min (
vec4 ( greaterThanEqual ( a , vec4 ( 1.0 ) ) ) +
vec4 ( greaterThanEqual ( b , vec4 ( 1.0 ) ) ) ,
vec4 ( 1.0 ) ) ;
2021-09-28 18:01:48 +02:00
` ,Fee=bn({opSnippet:_ee,packedOpSnippet: $ ee,dtype:"bool"}),Oee={kernelName:yc,backendName:"webgl",kernelFunc:Fee},Pee=class{constructor(e,t,n,s,r){this.variableNames=["x"],this.outputShape=[];let a=t,o=e[3]-1;this.outputShape=e;let i,l= ` float ( $ { n } ) + float ( $ { s } ) * sum ` ;r===.5?i= ` inversesqrt ( $ { l } ) ` :r===1?i= ` 1.0 / ( $ { l } ) ` :i= ` exp ( log ( $ { l } ) * float ( - $ { r } ) ) ; ` ,this.userCode= `
2021-09-11 16:29:31 +02:00
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 ;
2021-09-11 17:17:13 +02:00
for ( int j = - $ { a } ; j <= $ { a } ; j ++ ) {
2021-09-11 16:29:31 +02:00
int idx = d + j ;
2021-09-11 17:17:13 +02:00
if ( idx >= 0 && idx <= $ { o } ) {
2021-09-11 16:29:31 +02:00
float z = getX ( b , r , c , idx ) ;
sum += z * z ;
}
}
2021-09-11 17:17:13 +02:00
float val = x * $ { i } ;
2021-09-11 16:29:31 +02:00
setOutput ( val ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }},Mee=class{constructor(e,t,n,s,r){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let a=t,o=e[3]-1;this.outputShape=e;let i,l= ` float ( $ { n } ) + float ( $ { s } ) * sum ` ;r===.5?i= ` inversesqrt ( $ { l } ) ` :r===1?i= ` 1.0 / ( $ { l } ) ` :i= ` exp ( log ( $ { l } ) * float ( - $ { r } ) ) ; ` ,this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords . x ;
int r = coords . y ;
int c = coords . z ;
int d = coords . w ;
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
) ;
2021-09-11 17:17:13 +02:00
int firstChannel = d - $ { a } ;
2021-09-11 16:29:31 +02:00
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 ) ;
2021-09-11 17:17:13 +02:00
for ( int j = - $ { a } ; j <= $ { a } ; j ++ ) {
2021-09-11 16:29:31 +02:00
ivec2 idx = depth + j ;
bvec2 aboveLowerBound = greaterThanEqual ( idx , ivec2 ( 0 ) ) ;
2021-09-11 17:17:13 +02:00
bvec2 belowUpperBound = lessThanEqual ( idx , ivec2 ( $ { o } ) ) ;
2021-09-11 16:29:31 +02:00
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 ;
}
}
2021-09-11 17:17:13 +02:00
vec4 result = xAtOutputCoords * $ { i } ;
2021-09-11 16:29:31 +02:00
setOutput ( result ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }},zee=e=>{let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{depthRadius:a,bias:o,alpha:i,beta:l}=s,u=Y().getBool("WEBGL_PACK_NORMALIZATION")?new Mee(r.shape,a,o,i,l):new Pee(r.shape,a,o,i,l);return n.runWebGLProgram(u,[r],r.dtype)},Lee={kernelName:xc,backendName:"webgl",kernelFunc:zee},Bee=class{constructor(e,t,n,s,r){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=s,this.beta=r,this.userCode= `
2021-09-11 16:29:31 +02:00
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 ;
}
}
2021-09-11 17:17:13 +02:00
norm = float ( $ { s } ) * norm + float ( $ { n } ) ;
2021-09-11 16:29:31 +02:00
for ( int k = MIN _DEPTH _BEGIN ; k < MAX _DEPTH _END ; ++ k ) {
if ( k < depthBegin ) {
continue ;
}
else if ( k >= depthBegin && k < depthEnd ) {
2021-09-11 17:17:13 +02:00
float dyi = - 2.0 * float ( $ { s } )
2021-09-11 16:29:31 +02:00
* float ( $ { r } )
* getInputImage ( b , r , c , k ) * getOutputImage ( b , r , c , d )
/ n o r m ;
if ( k == d ) {
dyi += pow ( norm , - 1.0 * $ { r } ) ;
}
if ( k == coords [ 3 ] ) {
dyi *= getDy ( b , r , c , d ) ;
result += dyi ;
}
}
else {
break ;
}
}
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
setOutput ( result ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }},Wee=e=>{let{inputs:t,backend:n,attrs:s}=e,{x:r,y:a,dy:o}=t,{depthRadius:i,bias:l,alpha:u,beta:c}=s,d=new Bee(r.shape,i,l,u,c);return n.runWebGLProgram(d,[r,a,o],r.dtype)},Vee={kernelName:Kp,backendName:"webgl",kernelFunc:Wee};function Uee(e,t,n,s){let r=w.sizeFromShape(t),o=w.sizeFromShape(e.shape)/r,i=be({inputs:{x:e},attrs:{shape:[o,r]},backend:s}),l=wi(i,e.dtype,"max",s),u=be({inputs:{x:l},attrs:{shape:n},backend:s});return s.disposeIntermediateTensorInfo(i),s.disposeIntermediateTensorInfo(l),u}function ik(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{reductionIndices:a,keepDims:o}=s,i=r.shape.length,l=w.parseAxisParam(a,r.shape),u=l,c=_.getAxesPermutation(u,i),d=c!=null,p=n.shouldExecuteOnCPU([r]),h=r;if(d){if(p){let x=n.texData.get(h.dataId).values,b=new Array(i);for(let S=0;S<b.length;S++)b[S]=r.shape[c[S]];let v=F2(x,r.shape,r.dtype,c,b);h=n.makeTensorInfo(b,r.dtype);let k=n.texData.get(h.dataId);k.values=v}else h=m0(r,c,n);u=_.getInnerMostAxes(u.length,i)}_.assertAxesAreInnerMostDims("max",u,i);let[f,m]=_.computeOutAndReduceShapes(h.shape,u),g=f;o&&(g=_.expandShapeToKeepDim(f,l));let A;if(p){let x=n.texData.get(h.dataId).values,b=aK(x,w.sizeFromShape(m),g,r.dtype);A=n.makeTensorInfo(g,r.dtype);let v=n.texData.get(A.dataId);v.values=b}else A=Uee(h,m,g,n);return d&&n.disposeIntermediateTensorInfo(h),A}var Hee={kernelName:ho,backendName:"webgl",kernelFunc:ik},Gee=S4+ `
2021-09-11 16:29:31 +02:00
return max ( a , b ) ;
2021-09-28 18:01:48 +02:00
` ,jee= `
2021-09-11 16:29:31 +02:00
vec4 result = vec4 ( max ( a , b ) ) ;
vec4 isNaN = min ( vec4 ( isnan ( a ) ) + vec4 ( isnan ( b ) ) , vec4 ( 1.0 ) ) ;
2021-09-28 18:01:48 +02:00
` +h0+ `
2021-09-11 16:29:31 +02:00
return result ;
2021-09-28 18:01:48 +02:00
` ,qee=bn({opSnippet:Gee,packedOpSnippet:jee,cpuKernelImpl:oK}),Xee={kernelName:fo,backendName:"webgl",kernelFunc:qee};function Kee(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t;Cu(r,"maxPool");let{filterSize:a,strides:o,pad:i,dimRoundingMode:l}=s,u=1;w.assert(_.eitherStridesOrDilationsAreOne(o,u),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { o } and dilations '${u}' ` );let c=_.computePool2DInfo(r.shape,a,o,u,i,l);if(c.filterWidth===1&&c.filterHeight===1&&w.arraysEqual(c.inShape,c.outShape))return cs({inputs:{x:r},backend:n});let d=new $ d(c,"max",!1);return n.runWebGLProgram(d,[r],r.dtype)}var Zee={kernelName:mo,backendName:"webgl",kernelFunc:Kee};function Yee(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{filterSize:a,strides:o,pad:i,dataFormat:l,dimRoundingMode:u}=s,c=[1,1,1],d=_.computePool3DInfo(r.shape,a,o,c,i,u,l),p=new P2(d,"max",!1);return n.runWebGLProgram(p,[r],r.dtype)}var Jee={kernelName:bc,backendName:"webgl",kernelFunc:Yee},Qee=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,n=e.strideWidth,s=e.dilationHeight,r=e.effectiveFilterHeight,a=e.effectiveFilterWidth,o=r-1-e.padInfo.top,i=a-1-e.padInfo.left,l=r*a-1;this.userCode= `
2021-09-11 17:17:13 +02:00
const ivec2 pads = ivec2 ( $ { o } , $ { i } ) ;
2021-09-11 16:29:31 +02:00
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 < $ { r } ;
2021-09-11 17:17:13 +02:00
wR += $ { s } ) {
2021-09-11 16:29:31 +02:00
float dyR = float ( dyRCorner + wR ) / $ { t } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
2021-09-11 17:17:13 +02:00
for ( int wC = 0 ; wC < $ { a } ; wC ++ ) {
2021-09-11 16:29:31 +02:00
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 = $ { l } - int ( getMaxPos ( b , idyR , idyC , d ) ) ;
// Get the current value, check it against the value from the
// position matrix.
2021-09-11 17:17:13 +02:00
int curPosValue = wR * $ { a } + wC ;
2021-09-11 16:29:31 +02:00
float mask = float ( maxPosValue == curPosValue ? 1.0 : 0.0 ) ;
dotProd += dyValue * mask ;
}
}
setOutput ( dotProd ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }},ete=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,n=e.strideHeight,s=e.strideWidth,r=e.dilationDepth,a=e.dilationHeight,o=e.dilationWidth,i=e.effectiveFilterDepth,l=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=i-1-e.padInfo.front,d=l-1-e.padInfo.top,p=u-1-e.padInfo.left,h=i*l*u-1;this.userCode= `
2021-09-12 18:42:17 +02:00
const ivec3 pads = ivec3 ( $ { c } , $ { d } , $ { p } ) ;
2021-09-11 16:29:31 +02:00
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(?, ?, ?, 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 ;
2021-09-11 17:17:13 +02:00
for ( int wD = 0 ; wD < $ { i } ;
2021-09-11 16:29:31 +02:00
wD += $ { r } ) {
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 < $ { l } ;
2021-09-11 17:17:13 +02:00
wR += $ { a } ) {
2021-09-11 16:29:31 +02:00
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 < $ { u } ;
2021-09-11 17:17:13 +02:00
wC += $ { o } ) {
float dyC = float ( dyCCorner + wC ) / $ { s } . 0 ;
2021-09-11 16:29:31 +02:00
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 ) ;
2021-09-12 18:42:17 +02:00
int maxPosValue = $ { h } -
2021-09-11 16:29:31 +02:00
int ( getMaxPos ( batch , idyD , idyR , idyC , ch ) ) ;
// Get the current value, check it against the value from the
// position matrix.
int curPosValue =
wD * $ { l } * $ { u } +
wR * $ { u } + wC ;
float mask = float ( maxPosValue == curPosValue ? 1.0 : 0.0 ) ;
dotProd += dyValue * mask ;
}
}
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
setOutput ( dotProd ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function tte(e){let{inputs:t,backend:n,attrs:s}=e,{dy:r,input:a}=t,o=a,{filterSize:i,strides:l,pad:u,dimRoundingMode:c}=s,d=[1,1,1],p=_.computePool3DInfo(o.shape,i,l,d,u,c),h=new P2(p,"max",!0),f=n.runWebGLProgram(h,[o],o.dtype),m=new ete(p),g=n.runWebGLProgram(m,[r,f],o.dtype);return n.disposeIntermediateTensorInfo(f),g}var nte={kernelName:Yp,backendName:"webgl",kernelFunc:tte};function ste(e){let{inputs:t,backend:n,attrs:s}=e,{dy:r,input:a,output:o}=t,i=a;Cu([a,o],"maxPoolGrad");let{filterSize:l,strides:u,pad:c,dimRoundingMode:d}=s,p=_.computePool2DInfo(i.shape,l,u,1,c,d),h=!0,f=new $ d(p,"max",h),m=n.runWebGLProgram(f,[i],i.dtype),g=new Qee(p),A=n.runWebGLProgram(g,[r,m],i.dtype);return n.disposeIntermediateTensorInfo(m),A}var rte={kernelName:Zp,backendName:"webgl",kernelFunc:ste};function ate(e,t,n,s){let r=new $ d(n,"max",!1),a=s.runWebGLProgram(r,[e],"float32");r=new $ d(n,"max",!0,!0,t);let o=s.runWebGLProgram(r,[e],"float32");return[a,o]}var ote={kernelName:Jp,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:s}=e,{filterSize:r,strides:a,pad:o,includeBatchInIndex:i}=t,l=n;w.assert(s.shape.length===4,()=> ` Error in maxPool : input must be rank 4 but got rank $ { s . shape . length } . ` );let u=[1,1];w.assert(_.eitherStridesOrDilationsAreOne(a,u),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { a } and dilations '${u}' ` );let c=_.computePool2DInfo(s.shape,r,a,u,o),[d,p]=ate(s,i,c,l);return[d,p]}};function ite(e,t,n,s){let r=w.sizeFromShape(t),o=w.sizeFromShape(e.shape)/r,i=be({inputs:{x:e},attrs:{shape:[o,r]},backend:s}),l=wi(i,"float32","mean",s),u=be({inputs:{x:l},attrs:{shape:n},backend:s});return s.disposeIntermediateTensorInfo(i),s.disposeIntermediateTensorInfo(l),u}var lte={kernelName:go,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:s}=e,{keepDims:r,axis:a}=t,o=n,i=s.shape.length,l=w.parseAxisParam(a,s.shape),u=l,c=_.getAxesPermutation(u,i),d=c!=null,p=o.shouldExecuteOnCPU([s]),h=[],f=s;if(d){if(p){let b=o.texData.get(f.dataId).values,v=new Array(i);for(let C=0;C<v.length;C++)v[C]=s.shape[c[C]];let k=F2(b,s.shape,s.dtype,c,v);f=o.makeTensorInfo(v,s.dtype);let S=o.texData.get(f.dataId);S.values=k}else f=m0(s,c,o);h.push(f),u=_.getInnerMostAxes(u.length,i)}_.assertAxesAreInnerMostDims("sum",u,i);let[m,g]=_.computeOutAndReduceShapes(f.shape,u),A=m;r&&(A=_.expandShapeToKeepDim(m,l));let y=ite(f,g,A,o);for(let x of h)o.disposeIntermediateTensorInfo(x);return y}};function ute(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a,keepDims:o}=s,i=r.shape.length,l=w.parseAxisParam(a,r.shape),u=l,c=_.getAxesPermutation(u,i),d=r;c!=null&&(d=Fn({inputs:{x:r},backend:n,attrs:{perm:c}}),u=_.getInnerMostAxes(u.length,r.shape.length)),_.assertAxesAreInnerMostDims("min",u,i);let[p,h]=_.computeOutAndReduceShapes(d.shape,u),f=w.sizeFromShape(h),m=be({inputs:{x:d},backend:n,attrs:{shape:[-1,f]}}),g=wi(m,m.dtype,"min",n),A;if(o){let y=_.expandShapeToKeepDim(p,l);A=be({inputs:{x:g},backend:n,attrs:{shape:y}})}else A=be({inputs:{x:g},backend:n,attrs:{shape:p}});return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(g),c!=null&&n.disposeIntermediateTensorInfo(d),A}var cte={kernelName:Ao,backendName:"webgl",kernelFunc:ute},dte=S4+ `
2021-09-11 16:29:31 +02:00
return min ( a , b ) ;
2021-09-28 18:01:48 +02:00
` ,pte= `
2021-09-11 16:29:31 +02:00
vec4 result = vec4 ( min ( a , b ) ) ;
vec4 isNaN = min ( vec4 ( isnan ( a ) ) + vec4 ( isnan ( b ) ) , vec4 ( 1.0 ) ) ;
2021-09-28 18:01:48 +02:00
` +h0+ `
2021-09-11 16:29:31 +02:00
return result ;
2021-09-28 18:01:48 +02:00
` ,hte=bn({opSnippet:dte,packedOpSnippet:pte,cpuKernelImpl:iK}),fte={kernelName:yo,backendName:"webgl",kernelFunc:hte},mte=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((u,c)=>u[0]+e[c]+u[1]);let s=e.length,r=yt(s),a=t.map(u=>u[0]).join(","),o=t.map((u,c)=>u[0]+e[c]).join(","),i=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,s),l=n==="reflect"?0:1;if(s===1){this.userCode= `
2021-09-11 17:17:13 +02:00
int start = $ { a } ;
int end = $ { o } ;
2021-09-11 16:29:31 +02:00
void main ( ) {
int outC = getOutputCoords ( ) ;
if ( outC < start ) {
outC = start * 2 - outC - $ { l } ;
} else if ( outC >= end ) {
outC = ( end - 1 ) * 2 - outC + $ { l } ;
}
setOutput ( getX ( outC - start ) ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
` ;return}this.userCode= `
2021-09-11 17:17:13 +02:00
$ { r } start = $ { r } ( $ { a } ) ;
$ { r } end = $ { r } ( $ { o } ) ;
2021-09-11 16:29:31 +02:00
void main ( ) {
$ { r } outC = getOutputCoords ( ) ;
2021-09-11 17:17:13 +02:00
for ( int i = 0 ; i < $ { s } ; i ++ ) {
2021-09-11 16:29:31 +02:00
if ( outC [ i ] < start [ i ] ) {
outC [ i ] = start [ i ] * 2 - outC [ i ] - $ { l } ;
} else if ( outC [ i ] >= end [ i ] ) {
outC [ i ] = ( end [ i ] - 1 ) * 2 - outC [ i ] + $ { l } ;
}
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
$ { r } coords = outC - start ;
2021-09-11 17:17:13 +02:00
setOutput ( getX ( $ { i } ) ) ;
2021-09-01 00:22:16 +02:00
}
2021-09-28 18:01:48 +02:00
` }},gte=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((h,f)=>h[0]+e[f]+h[1]);let s=e.length,r=yt(s),a=t.map(h=>h[0]).join(","),o=t.map((h,f)=>h[0]+e[f]).join(","),i= $ n("rc",s),l= $ n("source",s),u= ` $ { i [ s - 1 ] } < $ { this . outputShape [ s - 1 ] } ` ,c=s===1?"source": ` vec2 ( $ { l . slice ( - 2 ) . join ( ) } ) ` ,d=n==="reflect"?0:1,p="";if(s===1){let h= `
2021-09-11 16:29:31 +02:00
$ { r } source = rc ;
if ( source < start ) {
2021-09-11 17:17:13 +02:00
source = start * 2 - source - $ { d } ;
2021-09-11 16:29:31 +02:00
} else if ( source >= end ) {
2021-09-11 17:17:13 +02:00
source = ( end - 1 ) * 2 - source + $ { d } ;
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
source -= start ;
2021-09-12 18:42:17 +02:00
` ;p= `
2021-09-11 16:29:31 +02:00
$ { r } rc = outputLoc ;
2021-09-12 18:42:17 +02:00
$ { h }
2021-09-11 17:17:13 +02:00
result [ 0 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { c } ) ;
$ { i [ s - 1 ] } += 1 ;
2021-09-11 16:29:31 +02:00
if ( $ { u } ) {
2021-09-12 18:42:17 +02:00
$ { h }
2021-09-11 17:17:13 +02:00
result [ 1 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { c } ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-12 18:42:17 +02:00
` }else{let h= `
2021-09-11 16:29:31 +02:00
$ { r } source = rc ;
$ { r } lt = $ { r } ( lessThan ( source , start ) ) ;
$ { r } gte = $ { r } ( greaterThanEqual ( source , end ) ) ;
$ { r } orig = 1 - ( lt + gte ) ;
source = orig * source +
2021-09-11 17:17:13 +02:00
lt * ( start * 2 - source - $ { d } ) +
gte * ( ( end - 1 ) * 2 - source + $ { d } ) ;
2021-09-11 16:29:31 +02:00
source -= start ;
2021-09-12 18:42:17 +02:00
` ;p= `
2021-09-11 16:29:31 +02:00
$ { r } rc = outputLoc ;
2021-09-12 18:42:17 +02:00
$ { h }
2021-09-11 17:17:13 +02:00
result [ 0 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { c } ) ;
$ { i [ s - 1 ] } += 1 ;
2021-09-11 16:29:31 +02:00
if ( $ { u } ) {
2021-09-12 18:42:17 +02:00
$ { h }
2021-09-11 17:17:13 +02:00
result [ 1 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { c } ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
rc = outputLoc ;
2021-09-11 17:17:13 +02:00
$ { i [ s - 2 ] } += 1 ;
if ( $ { i [ s - 2 ] } < $ { this . outputShape [ s - 2 ] } ) {
2021-09-12 18:42:17 +02:00
$ { h }
2021-09-11 17:17:13 +02:00
result [ 2 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { c } ) ;
$ { i [ s - 1 ] } += 1 ;
2021-09-11 16:29:31 +02:00
if ( $ { u } ) {
2021-09-12 18:42:17 +02:00
$ { h }
2021-09-11 17:17:13 +02:00
result [ 3 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { c } ) ;
2021-09-11 16:29:31 +02:00
}
}
` }this.userCode= `
2021-09-11 17:17:13 +02:00
const $ { r } start = $ { r } ( $ { a } ) ;
const $ { r } end = $ { r } ( $ { o } ) ;
2021-09-11 16:29:31 +02:00
void main ( ) {
$ { r } outputLoc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
2021-09-12 18:42:17 +02:00
$ { p }
2021-09-11 16:29:31 +02:00
setOutput ( result ) ;
}
2021-09-28 18:01:48 +02:00
` }},Ate=({inputs:e,backend:t,attrs:n})=>{let{x:s}=e,{paddings:r,mode:a}=n,o=Y().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new gte(s.shape,r,a):new mte(s.shape,r,a);return t.runWebGLProgram(o,[s],s.dtype)},yte={kernelName:xo,backendName:"webgl",kernelFunc:Ate},xte= ` if ( b == 0.0 ) return NAN ;
return mod ( a , b ) ; ` ,bte= `
2021-09-11 16:29:31 +02:00
vec4 result = mod ( a , b ) ;
vec4 isNaN = vec4 ( equal ( b , vec4 ( 0.0 ) ) ) ;
2021-09-28 18:01:48 +02:00
` +h0+ `
2021-09-11 16:29:31 +02:00
return result ;
2021-09-28 18:01:48 +02:00
` ,vte=bn({opSnippet:xte,packedOpSnippet:bte}),wte={kernelName:bl,backendName:"webgl",kernelFunc:vte},kte=class{constructor(e,t,n){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[e,n],this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
float r = random ( seed ) ;
float cdf = 0.0 ;
for ( int i = 0 ; i < $ { t - 1 } ; i ++ ) {
cdf += getProbs ( batch , i ) ;
if ( r < cdf ) {
setOutput ( float ( i ) ) ;
return ;
}
}
// If no other event happened, last event happened.
setOutput ( float ( $ { t - 1 } ) ) ;
2021-09-01 00:22:16 +02:00
}
2021-09-28 18:01:48 +02:00
` }},Ite= `
2021-09-11 16:29:31 +02:00
if ( a == b ) {
return 1.0 ;
} ;
2021-09-28 18:01:48 +02:00
return a / b ; ` ,Ste= `
2021-09-11 16:29:31 +02:00
// 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. ;
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
if ( a . y == b . y ) {
result . y = 1. ;
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
if ( a . z == b . z ) {
result . z = 1. ;
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
if ( a . w == b . w ) {
result . w = 1. ;
}
return result ;
2021-09-28 19:48:29 +02:00
` ,lk=bn({opSnippet:Ite,packedOpSnippet:Ste,checkOutOfBounds:!0}),Cte={kernelName:no,backendName:"webgl",kernelFunc:lk},uk="return a - b;",ck=bn({opSnippet:uk,packedOpSnippet:uk,supportsComplex:!0,cpuKernelImpl:kK}),Tte={kernelName:Mo,backendName:"webgl",kernelFunc:ck};function dk(e){let{inputs:t,backend:n,attrs:s}=e,{logits:r}=t,{dim:a}=s,o=w.parseAxisParam([a],r.shape),i=ik({inputs:{x:r},backend:n,attrs:{reductionIndices:o,keepDims:!1}}),l=_.expandShapeToKeepDim(i.shape,o),u=be({inputs:{x:i},backend:n,attrs:{shape:l}}),c=ck({inputs:{a:r,b:u},backend:n}),d=tk({inputs:{x:c},backend:n}),p=g0({inputs:{x:d},backend:n,attrs:{axis:o,keepDims:!1}}),h=be({inputs:{x:p},backend:n,attrs:{shape:l}}),f=lk({inputs:{a:d,b:h},backend:n});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h),f}var Nte={kernelName:Oo,backendName:"webgl",kernelFunc:dk};function Ete(e){let{inputs:t,backend:n,attrs:s}=e,{logits:r}=t,{numSamples:a,seed:o,normalized:i}=s,l=i?r:dk({inputs:{logits:r},backend:n,attrs:{dim:r.shape.length-1}}),u=l.shape[0],c=l.shape[1],d=new kte(u,c,a),p=[[o]],h=n.runWebGLProgram(d,[l],"int32",p);return i||n.disposeIntermediateTensorInfo(l),h}var Rte={kernelName:Qp,backendName:"webgl",kernelFunc:Ete},pk="return -x;";function Dte(e){let{inputs:t,backend:n}=e,{x:s}=t;if(n.shouldExecuteOnCPU([s])){let a=n.texData.get(s.dataId),[o,i]=uK(a.values,s.shape,s.dtype);return n.makeTensorInfo(i,s.dtype,o)}let r;return Y().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new Du(s.shape,pk):r=new Ea(s.shape,pk),n.runWebGLProgram(r,[s],s.dtype)}var _te={kernelName:vl,backendName:"webgl",kernelFunc:Dte}, $ te=mr.nonMaxSuppressionV3Impl;function Fte(e){_.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:s}=e,{boxes:r,scores:a}=t,{maxOutputSize:o,iouThreshold:i,scoreThreshold:l}=s,u=n.readSync(r.dataId),c=n.readSync(a.dataId),{selectedIndices:d}= $ te(u,c,o,i,l);return n.makeTensorInfo([d.length],"int32",new Int32Array(d))}var Ote={kernelName:kl,backendName:"webgl",kernelFunc:Fte},Pte=mr.nonMaxSuppressionV4Impl;function Mte(e){_.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:s}=e,{boxes:r,scores:a}=t,{maxOutputSize:o,iouThreshold:i,scoreThreshold:l,padToMaxOutputSize:u}=s,c=n.readSync(r.dataId),d=n.readSync(a.dataId),{selectedIndices:p,validOutputs:h}=Pte(c,d,o,i,l,u);return[n.makeTensorInfo([p.length],"int32",new Int32Array(p)),n.makeTensorInfo([],"int32",new Int32Array([h]))]}var zte={kernelName:Il,backendName:"webgl",kernelFunc:Mte},Lte=mr.nonMaxSuppressionV5Impl;function Bte(e){_.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:s}=e,{boxes:r,scores:a}=t,{maxOutputSize:o,iouThreshold:i,scoreThreshold:l,softNmsSigma:u}=s,c=n.readSync(r.dataId),d=n.readSync(a.dataId),p=o,h=i,f=l,m=u,{selectedIndices:g,selectedScores:A}=Lte(c,d,p,h,f,m);return[n.makeTensorInfo([g.length],"int32",new Int32Array(g)),n.makeTensorInfo([A.length],"float32",new Float32Array(A))]}var Wte={kernelName:Sl,backendName:"webgl",kernelFunc:Bte},Vte=class{constructor(e,t,n,s){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int index = round ( getIndices ( coords . x ) ) ;
2021-09-11 17:17:13 +02:00
setOutput ( mix ( float ( $ { s } ) , float ( $ { n } ) ,
2021-09-11 16:29:31 +02:00
float ( index == coords . y ) ) ) ;
2021-09-01 00:22:16 +02:00
}
2021-09-28 18:01:48 +02:00
` }},Ute=e=>{let{inputs:t,backend:n,attrs:s}=e,{indices:r}=t,{depth:a,onValue:o,offValue:i}=s,l=w.sizeFromShape(r.shape),u=new Vte(l,a,o,i),c=be({inputs:{x:r},backend:n,attrs:{shape:[l]}}),d=n.runWebGLProgram(u,[c],r.dtype);n.disposeIntermediateTensorInfo(c);let p=[...r.shape,a],h=be({inputs:{x:d},backend:n,attrs:{shape:p}});return n.disposeIntermediateTensorInfo(d),h},Hte={kernelName:vo,backendName:"webgl",kernelFunc:Ute};function v0(e){let{inputs:t,backend:n}=e,{x:s}=t;if(s.dtype==="complex64"){let r=Fd({inputs:{input:s},backend:n}),a=v0({inputs:{x:r},backend:n}),o=b0({inputs:{input:s},backend:n}),i=v0({inputs:{x:o},backend:n}),l=Ra({inputs:{real:a,imag:i},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(i),l}else return Od({attrs:{shape:s.shape,dtype:s.dtype,value:s.dtype==="string"?"":0},backend:n})}var Gte={kernelName:Hl,backendName:"webgl",kernelFunc:v0};function hk(e){let{inputs:t,backend:n}=e,{x:s}=t;if(s.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(s.dtype==="complex64"){let r=Fd({inputs:{input:s},backend:n}),a=hk({inputs:{x:r},backend:n}),o=b0({inputs:{input:s},backend:n}),i=v0({inputs:{x:o},backend:n}),l=Ra({inputs:{real:a,imag:i},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(i),l}else return Od({attrs:{shape:s.shape,dtype:s.dtype,value:1},backend:n})}var jte={kernelName:Cl,backendName:"webgl",kernelFunc:hk};function qte(e){let{inputs:t,backend:n,attrs:s}=e,{axis:r}=s;if(t.length===1)return L2({inputs:{input:t[0]},backend:n,attrs:{dim:r}});let a=t[0].shape,o=t[0].dtype;t.forEach(c=>{w.assertShapesMatch(a,c.shape,"All tensors passed to stack must have matching shapes"),w.assert(o===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let i=[],l=t.map(c=>{let d=L2({inputs:{input:c},backend:n,attrs:{dim:r}});return i.push(d),d}),u=G4({inputs:l,backend:n,attrs:{axis:r}});return i.forEach(c=>n.disposeIntermediateTensorInfo(c)),u}var Xte={kernelName:Tl,backendName:"webgl",kernelFunc:qte},Kte=class{constructor(e,t,n){this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((l,u)=>l[0]+e[u]+l[1]);let s=e.length,r=yt(s),a=t.map(l=>l[0]).join(","),o=t.map((l,u)=>l[0]+e[u]).join(","),i=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,s);if(s===1){this.userCode= `
2021-09-11 17:17:13 +02:00
int start = $ { a } ;
int end = $ { o } ;
2021-09-11 16:29:31 +02:00
void main ( ) {
int outC = getOutputCoords ( ) ;
if ( outC < start || outC >= end ) {
setOutput ( value ) ;
} else {
setOutput ( getX ( outC - start ) ) ;
}
}
` ;return}this.userCode= `
2021-09-11 17:17:13 +02:00
$ { r } start = $ { r } ( $ { a } ) ;
$ { r } end = $ { r } ( $ { o } ) ;
2021-09-11 16:29:31 +02:00
void main ( ) {
$ { r } outC = getOutputCoords ( ) ;
if ( any ( lessThan ( outC , start ) ) || any ( greaterThanEqual ( outC , end ) ) ) {
setOutput ( value ) ;
} else {
$ { r } coords = outC - start ;
2021-09-11 17:17:13 +02:00
setOutput ( getX ( $ { i } ) ) ;
2021-09-11 16:29:31 +02:00
}
}
2021-09-28 18:01:48 +02:00
` }},Zte=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((f,m)=>f[0]+e[m]+f[1]);let s=e.length,r=yt(s),a=t.map(f=>f[0]).join(","),o=t.map((f,m)=>f[0]+e[m]).join(","),i= $ n("rc",s),l= $ n("source",s),u= ` $ { i [ s - 1 ] } < $ { this . outputShape [ s - 1 ] } ` ,c=s===1?"source": ` vec2 ( $ { l . slice ( - 2 ) . join ( ) } ) ` ,d=[ ` $ { r } rc = outputLoc ; ` , ` $ { i [ s - 1 ] } += 1 ;
2021-09-11 16:29:31 +02:00
if ( $ { u } ) {
2021-09-11 17:17:13 +02:00
` ,s===1?"": ` }
2021-09-11 16:29:31 +02:00
rc = outputLoc ;
2021-09-11 17:17:13 +02:00
$ { i [ s - 2 ] } += 1 ;
if ( $ { i [ s - 2 ] } < $ { this . outputShape [ s - 2 ] } ) { ` ,s===1?"": ` $ { i [ s - 1 ] } += 1 ;
2021-09-12 18:42:17 +02:00
if ( $ { u } ) { ` ],p=s===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",h="";for(let f=0,m=s===1?2:4;f<m;f++)h+= `
2021-09-11 17:17:13 +02:00
$ { d [ f ] }
2021-09-12 18:42:17 +02:00
if ( $ { p } ) {
2021-09-11 17:17:13 +02:00
result [ $ { f } ] = float ( value ) ;
2021-09-11 16:29:31 +02:00
} else {
$ { r } source = rc - start ;
2021-09-11 17:17:13 +02:00
result [ $ { f } ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { c } ) ;
2021-09-11 16:29:31 +02:00
}
2021-09-12 18:42:17 +02:00
` ;h+=s===1?"} ":"}}",this.userCode= `
2021-09-11 17:17:13 +02:00
const $ { r } start = $ { r } ( $ { a } ) ;
const $ { r } end = $ { r } ( $ { o } ) ;
2021-09-11 16:29:31 +02:00
void main ( ) {
$ { r } outputLoc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
2021-09-12 18:42:17 +02:00
$ { h }
2021-09-11 16:29:31 +02:00
setOutput ( result ) ;
}
2021-09-28 18:01:48 +02:00
` }},fk=e=>{let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{paddings:a,constantValue:o}=s;if(w.sizeFromShape(r.shape)===0){let u=a.map((c,d)=>c[0]+r.shape[d]+c[1]);return Od({backend:n,attrs:{shape:u,value:o,dtype:r.dtype}})}let i=Y().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Zte(r.shape,a,o):new Kte(r.shape,a,o),l=[[o]];return n.runWebGLProgram(i,[r],r.dtype,l)},Yte={kernelName:wo,backendName:"webgl",kernelFunc:fk},Jte= `
2021-09-11 16:29:31 +02:00
if ( a < 0.0 && floor ( b ) < b ) {
return NAN ;
}
if ( b == 0.0 ) {
return 1.0 ;
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
return ( round ( mod ( b , 2.0 ) ) != 1 ) ?
pow ( abs ( a ) , b ) : sign ( a ) * pow ( abs ( a ) , b ) ;
2021-09-28 18:01:48 +02:00
` ,Qte= `
2021-09-11 16:29:31 +02:00
// 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 ) ) ;
2021-09-28 18:01:48 +02:00
` +h0+ `
2021-09-11 16:29:31 +02:00
return result ;
2021-09-28 18:01:48 +02:00
` ,ene=bn({opSnippet:Jte,packedOpSnippet:Qte}),tne={kernelName:ko,backendName:"webgl",kernelFunc:ene};function nne(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a,keepDims:o}=s,i=r.shape.length,l=[],u=w.parseAxisParam(a,r.shape),c=u,d=_.getAxesPermutation(c,i),p=r;d!=null&&(p=Fn({inputs:{x:r},backend:n,attrs:{perm:d}}),c=_.getInnerMostAxes(c.length,i),l.push(p)),_.assertAxesAreInnerMostDims("prod",c,i);let h;if(n.shouldExecuteOnCPU([p])){let f=n.texData.get(p.dataId).values,{outVals:m,outShape:g,outDtype:A}=dK(p.shape,p.dtype,f,c);h=n.makeTensorInfo(g,A,m)}else{let[f,m]=_.computeOutAndReduceShapes(p.shape,c),g=w.sizeFromShape(m),A=be({inputs:{x:p},backend:n,attrs:{shape:[-1,g]}}),y=yh(r.dtype),x=wi(A,y,"prod",n);h=be({inputs:{x},backend:n,attrs:{shape:f}}),l.push(A),l.push(x)}if(o){l.push(h);let f=_.expandShapeToKeepDim(h.shape,u);h=be({inputs:{x:h},backend:n,attrs:{shape:f}})}return l.forEach(f=>n.disposeIntermediateTensorInfo(f)),h}var sne={kernelName:Nl,backendName:"webgl",kernelFunc:nne},mk=e=>{let{backend:t,attrs:n}=e,{start:s,stop:r,step:a,dtype:o}=n,i=pK(s,r,a,o);return t.makeTensorInfo([i.length],o,i)},rne={kernelName:vc,backendName:"webgl",kernelFunc:mk},ane="return 1.0 / x;",one=tt({opSnippet:ane}),ine={kernelName:El,backendName:"webgl",kernelFunc:one},lne=nr+ `
2021-09-11 16:29:31 +02:00
return ( x < 0.0 ) ? 0.0 : x ;
2021-09-28 18:01:48 +02:00
` ,une= `
2021-09-11 16:29:31 +02:00
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 ;
2021-09-28 18:01:48 +02:00
` ,cne=tt({opSnippet:lne,packedOpSnippet:une}),dne={kernelName:So,backendName:"webgl",kernelFunc:cne},pne=nr+ `
2021-09-11 16:29:31 +02:00
return ( x < 0.0 ) ? 0.0 : min ( 6.0 , x ) ;
2021-09-28 18:01:48 +02:00
` ,hne= `
2021-09-11 16:29:31 +02:00
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 ;
2021-09-28 18:01:48 +02:00
` ,fne=tt({opSnippet:pne,packedOpSnippet:hne}),mne={kernelName:To,backendName:"webgl",kernelFunc:fne},gne=class{constructor(e,t,n,s,r){this.variableNames=["A"],this.outputShape=[];let[a,o,i,l]=e;this.outputShape=[a,t,n,l];let u=[s&&t>1?o-1:o,s&&n>1?i-1:i],c=[s&&t>1?t-1:t,s&&n>1?n-1:n],d;r?d="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":d="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
2021-09-11 16:29:31 +02:00
const vec2 effectiveInputOverOutputRatioRC = vec2 (
2021-09-11 17:17:13 +02:00
$ { u [ 0 ] / c [ 0 ] } ,
$ { u [ 1 ] / c [ 1 ] } ) ;
const vec2 inputShapeRC = vec2 ( $ { o } . 0 , $ { i } . 0 ) ;
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 yRC = coords . yz ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
// Fractional source index.
2021-09-11 17:17:13 +02:00
vec2 sourceFracIndexRC = $ { d } ;
2021-09-11 16:29:31 +02:00
// 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 ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }},Ane=class{constructor(e,t,n,s,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[a,o,i,l]=e;this.outputShape=[a,t,n,l];let u=[s&&t>1?o-1:o,s&&n>1?i-1:i],c=[s&&t>1?t-1:t,s&&n>1?n-1:n],d;r?d="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":d="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
2021-09-11 16:29:31 +02:00
const vec3 effectiveInputOverOutputRatioRC = vec3 (
2021-09-11 17:17:13 +02:00
$ { u [ 0 ] / c [ 0 ] } ,
$ { u [ 1 ] / c [ 1 ] } ,
$ { u [ 1 ] / c [ 1 ] } ) ;
const vec3 inputShapeRC = vec3 ( $ { o } . 0 , $ { i } . 0 ,
$ { i } . 0 ) ;
2021-09-11 16:29:31 +02:00
float getAValue ( int b , int r , int c , int d ) {
return getChannel ( getA ( b , r , c , d ) , vec2 ( c , d ) ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
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 ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
// Fractional source index.
2021-09-11 17:17:13 +02:00
vec3 sourceFracIndexRC = $ { d } ;
2021-09-11 16:29:31 +02:00
// 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 < $ { l - 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 ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function yne(e){let{inputs:t,backend:n,attrs:s}=e,{images:r}=t,{alignCorners:a,halfPixelCenters:o,size:i}=s,[l,u]=i,c=Y().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Ane(r.shape,l,u,a,o):new gne(r.shape,l,u,a,o);return n.runWebGLProgram(c,[r],"float32")}var xne={kernelName:Co,backendName:"webgl",kernelFunc:yne},bne=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,s,r]=t,[,a,o]=e,i=[n&&a>1?s-1:s,n&&o>1?r-1:r],l=[n&&a>1?a-1:a,n&&o>1?o-1:o],u=i[0]/l[0],c=i[1]/l[1],d=1/u,p=1/c,h=Math.ceil(d)*2+2,f=Math.ceil(p)*2+2;this.userCode= `
2021-09-11 16:29:31 +02:00
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 ( $ { u } ) ;
2021-09-11 17:17:13 +02:00
const float widthScale = float ( $ { c } ) ;
2021-09-11 16:29:31 +02:00
2021-09-11 17:17:13 +02:00
const float invHeightScale = float ( $ { d } ) ;
2021-09-12 18:42:17 +02:00
const float invWidthScale = float ( $ { p } ) ;
2021-09-11 16:29:31 +02:00
2021-09-12 18:42:17 +02:00
const int winHeight = int ( $ { h } ) ;
2021-09-11 17:17:13 +02:00
const int winWidth = int ( $ { f } ) ;
2021-09-11 16:29:31 +02:00
// 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
2021-09-11 17:17:13 +02:00
if ( dyR < 0 || dyR >= $ { a } ) {
2021-09-11 16:29:31 +02:00
continue ;
2021-09-01 00:22:16 +02:00
}
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
for ( int dyCOffset = 0 ; dyCOffset < winWidth ; dyCOffset ++ ) {
int dyC = dyCOffset + startDyC ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
// Guard against the window exceeding the bounds of dy
2021-09-11 17:17:13 +02:00
if ( dyC < 0 || dyC >= $ { o } ) {
2021-09-11 16:29:31 +02:00
continue ;
}
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
float dxR = float ( dyR ) * heightScale ;
int topDxRIndex = int ( floor ( dxR ) ) ;
2021-09-11 17:17:13 +02:00
int bottomDxRIndex = int ( min ( ceil ( dxR ) , $ { s - 1 } . 0 ) ) ;
2021-09-11 16:29:31 +02:00
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 ) , $ { r - 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 ;
2021-09-05 22:42:11 +02:00
}
}
}
2021-09-11 16:29:31 +02:00
// End loop over dy
setOutput ( accumulator ) ;
2021-09-01 00:22:16 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function vne(e){let{inputs:t,backend:n,attrs:s}=e,{images:r,dy:a}=t,{alignCorners:o}=s,i=new bne(a.shape,r.shape,o);return n.runWebGLProgram(i,[a],a.dtype)}var wne={kernelName:nh,backendName:"webgl",kernelFunc:vne},kne=class{constructor(e,t,n,s,r){this.variableNames=["A"],this.outputShape=[];let[a,o,i,l]=e;this.outputShape=[a,t,n,l];let u=[s&&t>1?o-1:o,s&&n>1?i-1:i],c=[s&&t>1?t-1:t,s&&n>1?n-1:n],d=s?"0.5":"0.0",p;r?p="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":p="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
2021-09-11 16:29:31 +02:00
const vec2 effectiveInputOverOutputRatioRC = vec2 (
2021-09-11 17:17:13 +02:00
$ { u [ 0 ] / c [ 0 ] } ,
$ { u [ 1 ] / c [ 1 ] } ) ;
const vec2 inputShapeRC = vec2 ( $ { o } . 0 , $ { i } . 0 ) ;
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 yRC = coords . yz ;
// Fractional source index.
2021-09-12 18:42:17 +02:00
vec2 sourceFracIndexRC = $ { p } ;
2021-09-11 16:29:31 +02:00
// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestRC = ivec2 (
2021-09-11 17:17:13 +02:00
min ( inputShapeRC - 1.0 , floor ( sourceFracIndexRC + $ { d } ) ) ) ;
2021-09-11 16:29:31 +02:00
float newValue = getA ( b , sourceNearestRC . x , sourceNearestRC . y , d ) ;
setOutput ( newValue ) ;
}
2021-09-28 18:01:48 +02:00
` }},Ine=class{constructor(e,t,n,s,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[a,o,i,l]=e;this.outputShape=[a,t,n,l];let u=[s&&t>1?o-1:o,s&&n>1?i-1:i],c=[s&&t>1?t-1:t,s&&n>1?n-1:n],d=s?"0.5":"0.0",p;r?p="max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":p="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
2021-09-11 16:29:31 +02:00
const vec3 effectiveInputOverOutputRatioRC = vec3 (
2021-09-11 17:17:13 +02:00
$ { u [ 0 ] / c [ 0 ] } ,
$ { u [ 1 ] / c [ 1 ] } ,
$ { u [ 1 ] / c [ 1 ] } ) ;
const vec3 inputShapeRC = vec3 ( $ { o } . 0 , $ { i } . 0 ,
$ { i } . 0 ) ;
2021-09-11 16:29:31 +02:00
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.
2021-09-12 18:42:17 +02:00
vec3 sourceFracIndexRC = $ { p } ;
2021-09-11 16:29:31 +02:00
// Compute the coordinators of nearest neighbor point.
ivec3 sourceNearestRC = ivec3 (
2021-09-11 17:17:13 +02:00
min ( inputShapeRC - 1.0 , floor ( sourceFracIndexRC + $ { d } ) ) ) ;
2021-09-11 16:29:31 +02:00
// Should we calculate next column and row elements in 2x2 packed cell.
bool hasNextCol = d < $ { l - 1 } ;
bool hasNextRow = coords . z < $ { n - 1 } ;
vec4 newValue = vec4 (
getAValue ( b , sourceNearestRC . x , sourceNearestRC . y , d ) ,
hasNextCol ? getAValue ( b , sourceNearestRC . x , sourceNearestRC . y , d + 1 )
: 0.0 ,
hasNextRow ? getAValue ( b , sourceNearestRC . x , sourceNearestRC . z , d )
: 0.0 ,
( hasNextRow && hasNextCol ) ?
getAValue ( b , sourceNearestRC . x , sourceNearestRC . z , d + 1 ) : 0.0 ) ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
setOutput ( newValue ) ;
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function Sne(e){let{inputs:t,backend:n,attrs:s}=e,{images:r}=t,{alignCorners:a,halfPixelCenters:o,size:i}=s,[l,u]=i,c=Y().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Ine(r.shape,l,u,a,o):new kne(r.shape,l,u,a,o);return n.runWebGLProgram(c,[r],r.dtype)}var Cne={kernelName:wc,backendName:"webgl",kernelFunc:Sne},Tne=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,s,r]=t,[,a,o]=e,i=[n&&a>1?s-1:s,n&&o>1?r-1:r],l=[n&&a>1?a-1:a,n&&o>1?o-1:o],u=i[0]/l[0],c=i[1]/l[1],d=1/u,p=1/c,h=Math.ceil(d)*2+2,f=Math.ceil(p)*2+2;this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
float accumulator = 0.0 ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
const float heightScale = float ( $ { u } ) ;
2021-09-11 17:17:13 +02:00
const float widthScale = float ( $ { c } ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
const float invHeightScale = float ( $ { d } ) ;
2021-09-12 18:42:17 +02:00
const float invWidthScale = float ( $ { p } ) ;
2021-09-01 00:24:30 +02:00
2021-09-12 18:42:17 +02:00
const int winHeight = int ( $ { h } ) ;
2021-09-11 17:17:13 +02:00
const int winWidth = int ( $ { f } ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
// 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
2021-09-11 17:17:13 +02:00
if ( dyR < 0 || dyR >= $ { a } ) {
2021-07-29 22:06:03 +02:00
continue ;
2021-09-11 16:29:31 +02:00
}
2021-07-29 22:35:16 +02:00
2021-09-11 16:29:31 +02:00
for ( int dyCOffset = 0 ; dyCOffset < winWidth ; dyCOffset ++ ) {
int dyC = dyCOffset + startDyC ;
2021-08-14 17:16:26 +02:00
2021-09-11 16:29:31 +02:00
// Guard against the window exceeding the bounds of dy
2021-09-11 17:17:13 +02:00
if ( dyC < 0 || dyC >= $ { o } ) {
2021-09-11 16:29:31 +02:00
continue ;
}
2021-07-29 15:53:13 +02:00
2021-09-11 16:29:31 +02:00
float sourceFracRow =
2021-09-11 17:17:13 +02:00
float ( $ { i [ 0 ] } ) *
2021-09-11 16:29:31 +02:00
( float ( dyR ) / float ( $ { l [ 0 ] } ) ) ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
float sourceFracCol =
2021-09-11 17:17:13 +02:00
float ( $ { i [ 1 ] } ) *
2021-09-11 16:29:31 +02:00
( float ( dyC ) / float ( $ { l [ 1 ] } ) ) ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
int sourceNearestRow = int ( min (
2021-09-11 17:17:13 +02:00
float ( int ( $ { s } ) - 1 ) ,
2021-09-11 16:29:31 +02:00
$ { n } ? float ( round ( sourceFracRow ) ) :
float ( floor ( sourceFracRow ) ) ) ) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
int sourceNearestCol = int ( min (
float ( int ( $ { r } ) - 1 ) ,
$ { n } ? float ( round ( sourceFracCol ) ) :
float ( floor ( sourceFracCol ) ) ) ) ;
if ( r == sourceNearestRow && c == sourceNearestCol ) {
accumulator += getDy ( b , dyR , dyC , d ) ;
}
2021-07-29 22:06:03 +02:00
}
}
2021-09-11 16:29:31 +02:00
// End loop over dy
2021-09-05 22:42:11 +02:00
2021-09-11 16:29:31 +02:00
setOutput ( accumulator ) ;
2021-07-29 22:06:03 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function Nne(e){let{inputs:t,backend:n,attrs:s}=e,{images:r,dy:a}=t,{alignCorners:o}=s,i=new Tne(a.shape,r.shape,o);return n.runWebGLProgram(i,[a],a.dtype)}var Ene={kernelName:th,backendName:"webgl",kernelFunc:Nne},Rne=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= `
2021-09-11 16:29:31 +02:00
void main ( ) {
int coord = getOutputCoords ( ) ;
setOutput ( getX ( $ { e [ 0 ] } - coord - 1 ) ) ;
2021-08-14 17:16:26 +02:00
}
2021-09-21 22:48:16 +02:00
` ;return}let s=o=>t.indexOf(o)!==-1&&e[o]!==1? ` $ { e [ o ] } - coords [ $ { o } ] - 1 ` : ` coords [ $ { o } ] ` ,r=e.map((o,i)=>s(i)).join(","),a=yt(n);this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
2021-09-11 17:17:13 +02:00
$ { a } coords = getOutputCoords ( ) ;
2021-09-11 16:29:31 +02:00
setOutput ( getX ( $ { r } ) ) ;
}
2021-09-28 18:01:48 +02:00
` }},Dne=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 s= $ n("rc",n),r= ` $ { s [ n - 1 ] } + 1 < $ { this . outputShape [ n - 1 ] } ` ,a= ` $ { s [ n - 2 ] } + 1 < $ { this . outputShape [ n - 2 ] } ` ,o=yt(n);n===1?this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
int rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
result . r = getChannel ( getX ( $ { e [ 0 ] } - rc - 1 ) ,
$ { e [ 0 ] } - rc - 1 ) ;
if ( $ { r } ) {
result . g = getChannel ( getX ( $ { e [ 0 ] } - ( rc + 1 ) - 1 ) ,
$ { e [ 0 ] } - ( rc + 1 ) - 1 ) ;
2021-08-14 17:17:51 +02:00
}
2021-09-11 16:29:31 +02:00
setOutput ( result ) ;
2021-08-14 17:16:26 +02:00
}
2021-09-11 16:29:31 +02:00
` :this.userCode= `
void main ( ) {
2021-09-11 17:17:13 +02:00
$ { o } rc = getOutputCoords ( ) ;
2021-09-11 16:29:31 +02:00
vec4 result = vec4 ( 0. ) ;
2021-09-11 17:17:13 +02:00
result . r = $ { i ( s . slice ( ) ) } ;
2021-09-11 16:29:31 +02:00
if ( $ { r } ) {
2021-09-11 17:17:13 +02:00
result . g = $ { l ( s . slice ( ) ) } ;
2021-09-11 16:29:31 +02:00
}
2021-09-11 17:17:13 +02:00
if ( $ { a } ) {
result . b = $ { u ( s . slice ( ) ) } ;
2021-09-11 16:29:31 +02:00
if ( $ { r } ) {
2021-09-11 17:17:13 +02:00
result . a = $ { c ( s . slice ( ) ) } ;
2021-09-11 16:29:31 +02:00
}
}
setOutput ( result ) ;
2021-08-14 17:17:51 +02:00
}
2021-09-28 18:01:48 +02:00
` ;function i(h){return d(h)}function l(h){return h[n-1]="("+h[n-1]+" + 1)",d(h)}function u(h){return h[n-2]="("+h[n-2]+" + 1)",d(h)}function c(h){return h[n-1]="("+h[n-1]+" + 1)",h[n-2]="("+h[n-2]+" + 1)",d(h)}function d(h){let f=e.map((A,y)=>p(y,h)),m=f.join(","),g=f.slice(-2).join(",");return ` getChannel ( getX ( $ { m } ) , vec2 ( $ { g } ) ) ` }function p(h,f){return t.indexOf(h)!==-1&&e[h]!==1? ` $ { e [ h ] } - $ { f [ h ] } - 1 ` : ` $ { f [ h ] } ` }}};function _ne(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{dims:a}=s,o=r.shape.length,i=w.parseAxisParam(a,r.shape);if(o===0)return cs({inputs:{x:r},backend:n});let l=Y().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Dne(r.shape,i):new Rne(r.shape,i);return n.runWebGLProgram(l,[r],r.dtype)}var $ ne={kernelName:No,backendName:"webgl",kernelFunc:_ne},Fne=class{constructor(e,t){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];let n=e[1],s=e[2];this.outputShape=e;let r="";typeof t=="number"?r= ` float outputValue = $ { t . toFixed ( 2 ) } ; ` :r= `
2021-09-11 16:29:31 +02:00
vec3 fill = vec3 ( $ { t . join ( "," ) } ) ;
float outputValue = fill [ coords [ 3 ] ] ; ` ,this.userCode= `
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 ] ) ) ;
$ { r }
2021-09-11 17:17:13 +02:00
if ( coordX >= 0 && coordX < $ { s } && coordY >= 0 && coordY < $ { n } ) {
2021-09-11 16:29:31 +02:00
outputValue = getImage ( coords [ 0 ] , coordY , coordX , coords [ 3 ] ) ;
2021-08-14 17:17:51 +02:00
}
2021-09-11 16:29:31 +02:00
setOutput ( outputValue ) ;
2021-08-14 17:17:51 +02:00
}
2021-09-28 18:01:48 +02:00
` }},One={kernelName:Gl,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{image:s}=e,{radians:r,fillValue:a,center:o}=t,i=n,l=new Fne(s.shape,a),[u,c]=_.getImageCenter(o,s.shape[1],s.shape[2]),d=[[u,c,Math.sin(r),Math.cos(r)]];return i.runWebGLProgram(l,[s],s.dtype,d)}},Pne= `
2021-09-11 16:29:31 +02:00
// 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 ;
} else {
return base + 1.0 ;
2021-09-05 22:42:11 +02:00
}
}
2021-09-28 18:01:48 +02:00
` ,Mne=tt({opSnippet:Pne}),zne={kernelName:Eo,backendName:"webgl",kernelFunc:Mne},Lne="return inversesqrt(x);",Bne=tt({opSnippet:Lne,cpuKernelImpl:hK}),Wne={kernelName:Ro,backendName:"webgl",kernelFunc:Bne},gk=class{constructor(e,t,n,s,r,a,o=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;let i=yt(r.length),l=yt(a.length),u="";n===1?u="i":n===2&&(u="i, j");let c= ` getIndices ( $ { u } ) ` ,d="";s===1?d="i":s===2&&(d="i, coords[1]");let p= ` getUpdates ( $ { d } ) ` ,h=t>1?"strides[j]":"strides";this.userCode= `
2021-09-11 17:17:13 +02:00
$ { i } strides = $ { i } ( $ { r } ) ;
2021-09-05 22:42:11 +02:00
2021-09-11 16:29:31 +02:00
void main ( ) {
$ { l } 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 ++ ) {
2021-09-11 17:17:13 +02:00
int index = round ( $ { c } ) ;
2021-09-12 18:42:17 +02:00
flattenedIndex += index * $ { h } ;
2021-09-11 16:29:31 +02:00
}
if ( flattenedIndex == coords [ 0 ] ) {
2021-09-12 18:42:17 +02:00
sum += $ { p } ;
2021-09-11 16:29:31 +02:00
found = true ;
}
}
setOutput ( mix ( getDefaultValue ( ) , sum , float ( found ) ) ) ;
2021-08-14 17:17:51 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function Vne(e){let{inputs:t,backend:n,attrs:s}=e,{indices:r,updates:a}=t,{shape:o}=s,{sliceRank:i,numUpdates:l,sliceSize:u,strides:c,outputSize:d}=_.calculateShapes(a,r,o),p=[d/u,u];if(d===0)return n.makeTensorInfo(o,r.dtype);let h=be({inputs:{x:r},backend:n,attrs:{shape:[l,i]}}),f=be({inputs:{x:a},backend:n,attrs:{shape:[l,u]}}),m=n.makeTensorInfo([],"float32",new Float32Array([0])),g=new gk(l,i,h.shape.length,f.shape.length,c,p),A=n.runWebGLProgram(g,[f,h,m],f.dtype),y=be({inputs:{x:A},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(A),n.disposeIntermediateTensorInfo(m),y}var Une={kernelName:Dl,backendName:"webgl",kernelFunc:Vne},Hne=class{constructor(e,t,n){this.variableNames=["c","a","b"],this.outputShape=t;let s,r;if(n>4)throw Error( ` Where for rank $ { n } is not yet supported ` );if(n===1)r="resRC",s="resRC";else{let o=["resRC.x","resRC.y","resRC.z","resRC.w"],i=[],l=[];for(let u=0;u<t.length;u++)l.push( ` $ { o [ u ] } ` ),u<e&&i.push( ` $ { o [ u ] } ` );s=i.join(),r=l.join()}let a=yt(n);this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
2021-09-11 17:17:13 +02:00
$ { a } resRC = getOutputCoords ( ) ;
float cVal = getC ( $ { s } ) ;
2021-09-11 16:29:31 +02:00
if ( cVal >= 1.0 ) {
setOutput ( getA ( $ { r } ) ) ;
} else {
setOutput ( getB ( $ { r } ) ) ;
2021-08-14 17:17:51 +02:00
}
2021-09-05 22:42:11 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function Gne(e){let{inputs:t,backend:n}=e,{condition:s,t:r,e:a}=t,o=new Hne(s.shape.length,r.shape,r.shape.length);return n.runWebGLProgram(o,[s,r,a],Ds(r.dtype,a.dtype))}var jne={kernelName:_l,backendName:"webgl",kernelFunc:Gne},qne= `
2021-09-11 16:29:31 +02:00
// Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
// see: https://arxiv.org/abs/1706.02515
2021-09-15 04:07:13 +02:00
float scaleAlpha = $ { _ . SELU _SCALEALPHA } ;
float scale = $ { _ . SELU _SCALE } ;
2021-09-11 16:29:31 +02:00
return ( x >= 0.0 ) ? scale * x : scaleAlpha * ( exp ( x ) - 1.0 ) ;
2021-09-28 18:01:48 +02:00
` ,Xne=tt({opSnippet:qne}),Kne={kernelName: $ l,backendName:"webgl",kernelFunc:Xne},Ak="return 1.0 / (1.0 + exp(-1.0 * x));",Zne=tt({opSnippet:Ak,packedOpSnippet:Ak,cpuKernelImpl:fK}),Yne={kernelName:_o,backendName:"webgl",kernelFunc:Zne},Jne= `
2021-09-11 16:29:31 +02:00
if ( isnan ( x ) ) { return 0.0 ; }
return sign ( x ) ;
2021-09-28 18:01:48 +02:00
` ,Qne=tt({opSnippet:Jne}),ese={kernelName:Pl,backendName:"webgl",kernelFunc:Qne},tse=R4+ `
2021-09-11 16:29:31 +02:00
return sin ( x ) ;
2021-09-28 18:01:48 +02:00
` ,nse=tt({opSnippet:tse}),sse={kernelName:Do,backendName:"webgl",kernelFunc:nse},rse= `
2021-09-11 16:29:31 +02:00
float e2x = exp ( x ) ;
return ( e2x - 1.0 / e2x ) / 2.0 ;
2021-09-28 18:01:48 +02:00
` ,ase=tt({opSnippet:rse}),ose={kernelName:Ol,backendName:"webgl",kernelFunc:ase},ise= `
2021-09-11 16:29:31 +02:00
float epsilon = 1.1920928955078125 e - 7 ;
float threshold = log ( epsilon ) + 2.0 ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
bool too _large = x > - threshold ;
bool too _small = x < threshold ;
2021-08-14 17:16:26 +02:00
2021-09-11 16:29:31 +02:00
float result ;
float exp _x = exp ( x ) ;
2021-06-07 02:34:29 +02:00
2021-09-11 16:29:31 +02:00
if ( too _large ) {
result = x ;
2021-08-14 17:16:26 +02:00
}
2021-09-11 16:29:31 +02:00
else if ( too _small ) {
result = exp _x ;
2021-08-14 17:16:26 +02:00
}
2021-09-11 16:29:31 +02:00
else {
result = log ( exp _x + 1.0 ) ;
2021-08-14 17:16:26 +02:00
}
2021-09-11 16:29:31 +02:00
return result ;
2021-09-28 18:01:48 +02:00
` ,lse=tt({opSnippet:ise}),use={kernelName:Ml,backendName:"webgl",kernelFunc:lse},cse=e=>{let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{blockShape:a,paddings:o}=s;w.assert(r.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let i=a.reduce((A,y)=>A*y),l=[[0,0]];l.push(...o);for(let A=1+a.length;A<r.shape.length;++A)l.push([0,0]);let u=[],c=fk({inputs:{x:r},backend:n,attrs:{paddings:l,constantValue:0}}),d=_.getReshaped(c.shape,a,i,!1),p=_.getPermuted(d.length,a.length,!1),h=_.getReshapedPermuted(c.shape,a,i,!1),f=be({inputs:{x:c},backend:n,attrs:{shape:d}}),m=Fn({inputs:{x:f},backend:n,attrs:{perm:p}}),g=be({inputs:{x:m},backend:n,attrs:{shape:h}});return u.push(c),u.push(f),u.push(m),u.forEach(A=>n.disposeIntermediateTensorInfo(A)),g},dse={kernelName:zl,backendName:"webgl",kernelFunc:cse};function pse(e){let{inputs:t,backend:n}=e,{indices:s,values:r,denseShape:a,defaultValue:o}=t;if(a.shape.length!==1)throw new Error( ` Dense shape must be a vector , saw :
2021-09-11 17:17:13 +02:00
$ { a . shape } ` );if(s.shape.length!==2)throw new Error( ` Indices must be a matrix , saw :
$ { s . shape } ` );if(r.shape.length!==1)throw new Error( ` Values must be a vector , saw :
$ { r . shape } ` );if(o.shape.length!==0)throw new Error( ` Default value must be a scalar , saw :
2021-09-28 18:01:48 +02:00
$ { o . shape } ` );let i=n.readSync(s.dataId),l=n.readSync(r.dataId),u=n.readSync(a.dataId),c=n.readSync(o.dataId)[0],[d,p,h,f,m]=gK(i,s.shape,s.dtype,l,r.dtype,u,c);return[n.makeTensorInfo(p,s.dtype,d),n.makeTensorInfo([p[0]],r.dtype,h),n.makeTensorInfo([f.length],"bool",new Uint8Array(f.map(g=>Number(g)))),n.makeTensorInfo([m.length],s.dtype,new Int32Array(m))]}var hse={kernelName:sh,backendName:"webgl",kernelFunc:pse};function fse(e){let{inputs:t,backend:n}=e,{inputIndices:s,inputShape:r,newShape:a}=t;if(s.shape.length!==2)throw new Error( ` Input indices should be a matrix but received shape $ { s . shape } ` );if(r.shape.length!==1)throw new Error( ` Input shape should be a vector but received shape $ { r . shape } ` );if(a.shape.length!==1)throw new Error( ` Target shape should be a vector but received shape $ { a . shape } ` );let o=Array.from(n.readSync(r.dataId)),i=n.readSync(s.dataId),l=Array.from(n.readSync(a.dataId)),[u,c,d]=AK(i,s.shape,s.dtype,o,l);return[n.makeTensorInfo(c,s.dtype,u),n.makeTensorInfo([d.length],a.dtype,new Int32Array(d))]}var mse={kernelName:rh,backendName:"webgl",kernelFunc:fse};function gse(e){let{inputs:t,backend:n}=e,{data:s,indices:r,segmentIds:a}=t;if(s.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error( ` Indices should be a vector but received shape
2021-09-11 17:17:13 +02:00
$ { r . shape } ` );if(a.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
2021-09-28 18:01:48 +02:00
$ { a . shape } ` );let o=n.readSync(s.dataId),i=n.readSync(r.dataId),l=n.readSync(a.dataId),[u,c]=A4(o,s.shape,s.dtype,i,l,!0);return n.makeTensorInfo(c,s.dtype,u)}var Ase={kernelName:ah,backendName:"webgl",kernelFunc:gse};function yse(e){let{inputs:t,backend:n}=e,{data:s,indices:r,segmentIds:a}=t;if(s.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error( ` Indices should be a vector but received shape
2021-09-11 17:17:13 +02:00
$ { r . shape } ` );if(a.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
2021-09-28 18:01:48 +02:00
$ { a . shape } ` );let o=n.readSync(s.dataId),i=n.readSync(r.dataId),l=n.readSync(a.dataId),[u,c]=A4(o,s.shape,s.dtype,i,l);return n.makeTensorInfo(c,s.dtype,u)}var xse={kernelName:oh,backendName:"webgl",kernelFunc:yse};function bse(e){let{inputs:t,backend:n,attrs:s}=e,{sparseIndices:r,sparseValues:a,defaultValue:o}=t,{outputShape:i}=s,{sliceRank:l,numUpdates:u,strides:c,outputSize:d}=_.calculateShapes(a,r,i),p=!1,h=new gk(u,l,r.shape.length,a.shape.length,c,[d,1],p),f=n.runWebGLProgram(h,[a,r,o],a.dtype),m=be({inputs:{x:f},backend:n,attrs:{shape:i}});return n.disposeIntermediateTensorInfo(f),m}var vse={kernelName:ih,backendName:"webgl",kernelFunc:bse};function wse(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{numOrSizeSplits:a,axis:o}=s,i=w.parseAxisParam(o,r.shape)[0],l=_.prepareSplitSize(r,a,i),u=r.shape.length,c=new Array(u).fill(0),d=r.shape.slice();return l.map(p=>{let h=[...d];h[i]=p;let f=Fu({inputs:{x:r},backend:n,attrs:{begin:c,size:h}});return c[i]+=p,f})}var kse={kernelName:Ll,backendName:"webgl",kernelFunc:wse},yk="return sqrt(x);",Ise=tt({opSnippet:yk,packedOpSnippet:yk,cpuKernelImpl:yK}),Sse={kernelName: $ o,backendName:"webgl",kernelFunc:Ise},Cse="return x * x;",Tse=tt({opSnippet:Cse}),Nse={kernelName:kc,backendName:"webgl",kernelFunc:Tse},xk="return (a - b) * (a - b);",Ese=bn({opSnippet:xk,packedOpSnippet:xk}),Rse={kernelName:Po,backendName:"webgl",kernelFunc:Ese};function Dse({inputs:e,attrs:t,backend:n}){let{x:s}=e,r=nr+ `
2021-09-11 16:29:31 +02:00
return x > 0.0 ? 1.0 : float ( $ { t . alpha } ) ;
2021-09-28 18:01:48 +02:00
` ,a=new Ea(s.shape,r);return n.runWebGLProgram(a,[s],s.dtype)}var _se={kernelName:la,backendName:"webgl",kernelFunc:Dse}, $ se=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=n;let s=n.length,r=yt(n.length),a=yt(n.length),o="";if(s===1)o="coords * strides + begin";else{let i=0;o=n.map((l,u)=>(i++,n.length===1? ` coords * strides [ $ { u } ] + begin [ $ { u } ] ` : ` coords [ $ { i - 1 } ] * strides [ $ { u } ] + begin [ $ { u } ] ` )).join(",")}this.userCode= `
2021-09-11 16:29:31 +02:00
$ { r } begin = $ { r } ( $ { e } ) ;
$ { r } strides = $ { r } ( $ { t } ) ;
2021-07-29 22:35:16 +02:00
2021-09-11 16:29:31 +02:00
void main ( ) {
2021-09-11 17:17:13 +02:00
$ { a } coords = getOutputCoords ( ) ;
setOutput ( getX ( $ { o } ) ) ;
2021-08-14 17:16:26 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function Fse(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{begin:a,end:o,strides:i,beginMask:l,endMask:u,ellipsisMask:c,newAxisMask:d,shrinkAxisMask:p}=s,{nonStrided:h, $ begin:f, $ strides:m,size:g,newShape:A,outShape:y}=Nn.sliceInfo(r.shape,a,o,i,l,u,c,d,p),x=be({inputs:{x:r},backend:n,attrs:{shape:A}}),b;if(h){let k=Fu({inputs:{x},backend:n,attrs:{begin:f,size:g}});b=be({inputs:{x:k},backend:n,attrs:{shape:y}}),n.disposeIntermediateTensorInfo(k)}else if(y.some(k=>k===0))b=n.makeTensorInfo(y,r.dtype,[]);else if(n.shouldExecuteOnCPU([x])){let C=n.texData.get(x.dataId).values,D=Ge(x.shape,x.dtype,C),O=xK(y,D,m,f);b=n.makeTensorInfo(y,x.dtype,O.values)}else{let S=new $ se(f,m,y);b=n.runWebGLProgram(S,[x],x.dtype)}let v=be({inputs:{x:b},backend:n,attrs:{shape:y}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(b),v}var Ose={kernelName:Bl,backendName:"webgl",kernelFunc:Fse};function Pse(e){let{inputs:t,backend:n,attrs:s}=e,{separator:r,nGramWidths:a,leftPad:o,rightPad:i,padWidth:l,preserveShortSequences:u}=s,{data:c,dataSplits:d}=t,p=n.readSync(c.dataId),h=n.readSync(d.dataId),[f,m]=bK(p,h,r,a,o,i,l,u);return[n.makeTensorInfo([f.length],"string",f),n.makeTensorInfo(d.shape,"int32",m)]}var Mse={kernelName:lh,backendName:"webgl",kernelFunc:Pse};function zse(e){let{inputs:t,backend:n,attrs:s}=e,{skipEmpty:r}=s,{input:a,delimiter:o}=t;if(a.dtype!=="string")throw new Error("Input must be of datatype string");if(a.shape.length!==1)throw new Error( ` Input must be a vector , got shape : $ { a . shape } ` );if(o.shape.length!==0)throw new Error( ` Delimiter must be a scalar , got shape : $ { o . shape } ` );let i=n.readSync(a.dataId),l=n.readSync(o.dataId)[0],[u,c,d]=vK(i,l,r),p=c.length;return[n.makeTensorInfo([p,2],"int32",u),n.makeTensorInfo([p],"string",c),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var Lse={kernelName:uh,backendName:"webgl",kernelFunc:zse};function Bse(e){let{inputs:t,backend:n,attrs:s}=e,{numBuckets:r}=s,{input:a}=t;if(a.dtype!=="string")throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");let o=n.readSync(a.dataId),i=wK(o,r);return n.makeTensorInfo(a.shape,"int32",i)}var Wse={kernelName:ch,backendName:"webgl",kernelFunc:Bse},Vse="return tan(x);",Use=tt({opSnippet:Vse}),Hse={kernelName:zo,backendName:"webgl",kernelFunc:Use},Gse= `
2021-09-11 16:29:31 +02:00
float e2x = exp ( - 2.0 * abs ( x ) ) ;
return sign ( x ) * ( 1.0 - e2x ) / ( 1.0 + e2x ) ;
2021-09-28 18:01:48 +02:00
` ,jse=tt({opSnippet:Gse}),qse={kernelName:Lo,backendName:"webgl",kernelFunc:jse},Xse=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 s=yt(this.rank),r=Kse(e);this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
2021-09-11 17:17:13 +02:00
$ { s } resRC = getOutputCoords ( ) ;
2021-09-11 16:29:31 +02:00
setOutput ( getA ( $ { r } ) ) ;
2021-08-14 17:17:51 +02:00
}
2021-09-28 18:01:48 +02:00
` }};function Kse(e){let t=e.length;if(t>5)throw Error( ` Tile for rank $ { t } is not yet supported ` );if(t===1)return ` imod ( resRC , $ { e [ 0 ] } ) ` ;let n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],s=[];for(let r=0;r<e.length;r++)s.push( ` imod ( $ { n [ r ] } , $ { e [ r ] } ) ` );return s.join()}function bk(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{reps:a}=s;if(r.dtype==="string"||r.shape.length>5){let l=n.readSync(r.dataId),u=r.dtype==="string"?l.map(p=>w.decodeString(p)):l,c=Ge(r.shape,r.dtype,u),d=IK(c,a);return n.makeTensorInfo(d.shape,d.dtype,d.values)}let o=new Xse(r.shape,a);return n.runWebGLProgram(o,[r],r.dtype)}var Zse={kernelName:ia,backendName:"webgl",kernelFunc:bk},Yse=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"negativeInf",type:"float"},{name:"dir",type:"int"},{name:"inc",type:"int"}],this.outputShape=e,this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int elemIdx = coords [ 1 ] ;
// We compare elements pair-wise within a group of size 2 * inc.
// The comparing rule for each group alternates between ascending
// and descending. Within each group, we compare each pair at
// positions i and i+inc. To decide whether an element at position i
// is x0 or x1, we mod it by 2 * inc, if the result is smaller than
// inc, it is in the first half of the group, we denote it as x0,
// otherwise we denote it as x1.
// For example, as shown in the Bitonic top K paper referenced above,
// Figure5(a) shows that element[1] is in the
// second half of the group when group size is 2, but it is in the
// first half of the group when group size is 4.
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
bool isFirstInPair = imod ( elemIdx , 2 * inc ) < inc ;
int i = isFirstInPair ? elemIdx : elemIdx - inc ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
int i0 = firstPass == 1 ? i : int ( getIndices ( batch , i ) ) ;
int i1 = firstPass == 1 ? i + inc : int ( getIndices ( batch , i + inc ) ) ;
float x0 = i0 < n ? getX ( batch , i0 ) : negativeInf ;
float x1 = i1 < n ? getX ( batch , i1 ) : negativeInf ;
// Denotes which direction indices are in (ascending or descending).
bool reverse = imod ( elemIdx , 2 * dir ) >= dir ;
bool isGreater = x0 > x1 || ( x0 == x1 && i1 > i0 ) ;
if ( reverse == isGreater ) { // Elements in opposite order of direction
int iTemp = i0 ;
i0 = i1 ;
i1 = iTemp ;
}
if ( isFirstInPair ) {
setOutput ( float ( i0 ) ) ;
} else {
setOutput ( float ( i1 ) ) ;
}
}
2021-09-28 18:01:48 +02:00
` }},Jse=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=e,this.userCode= `
2021-09-11 16:29:31 +02:00
void main ( ) {
// Takes max of indices (0, k), (1, k + 1), (2, k + 2) ...
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int elemIdx = coords [ 1 ] ;
// The output size is half of the previous size.
// If the previous sequence is | | | | _ _ _ _ | | | | _ _ _ _ (k=4),
// we only need to output the indices at positions |, the indices at
// positions _ can be thrown away, see Figure5(b) After Phase 2
// (Merge phase) in the Bitonic Top K paper referenced above.
// For example, the paper shows we only need to output the orange bars.
// The output sequence should look like this | | | | | | | |.
// Because the sequence is halved, to map the output index back
// to the previous sequence to find the corresponding value,
// we need to double the index. When we double the index,
// we basically interpolate a position, so 2i looks like
// | _ | _ | _ | _ | _ | _ | _. We move the | to the first k position
// of each 2k positions by - elemIdx % k. E.g. for output at
// index 4,5,6,7, we want to get the corresponding element at
// original index 8,9,10,11, for output at index 8,9,10,11,
// we want to get the corresponding element at original index
// 16,17,18,19, so on and so forth.
int i = elemIdx < k ? elemIdx : ( elemIdx * 2 - imod ( elemIdx , k ) ) ;
int i0 = firstPass == 1 ? i : int ( getIndices ( batch , i ) ) ;
int i1 = firstPass == 1 ? i + k : int ( getIndices ( batch , i + k ) ) ;
float x0 = getX ( batch , i0 ) ;
float x1 = i1 < n ? getX ( batch , i1 ) : x0 ;
setOutput ( x0 >= x1 ? float ( i0 ) : float ( i1 ) ) ;
}
2021-09-28 18:01:48 +02:00
` }};function ki(e,t){t!==null&&e.disposeIntermediateTensorInfo(t)}function vk(e){let t=1;for(;t<e;)t*=2;return t}function Qse(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{k:a,sorted:o}=s,i=Y().getNumber("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD"),l=Y().getNumber("TOPK_K_CPU_HANDOFF_THRESHOLD"),u=r.shape,c=u[u.length-1];if(n.shouldExecuteOnCPU([r])||c<i||a>l){let O=n.readSync(r.dataId),[E,R]=SK(O,u,r.dtype,a,o);return[n.makeTensorInfo(E.shape,E.dtype,E.values),n.makeTensorInfo(R.shape,R.dtype,R.values)]}if(a===0)return u[u.length-1]=0,[n.makeTensorInfo(u,r.dtype,[]),n.makeTensorInfo(u,"int32",[])];if(c===1)return[r,Od({attrs:{shape:u,dtype:"int32",value:0},backend:n})];let d=n.texData.get(r.dataId),p=d!==null&&d.isPacked,h=p?n.unpackTensor(r):r,m=w.sizeFromShape(u)/c,g=be({inputs:{x:h},attrs:{shape:[m,c]},backend:n});p&&ki(n,h);let A=vk(a),y=vk(c),x=null,b=()=>x===null?[g,g]:[g,x],v=(O,E,R)=>{let T=b(),P=new Yse(R),j=[[c],[x===null?1:0],[Number.NEGATIVE_INFINITY],[O],[E]],q=x;x=n.runWebGLProgram(P,T,"int32",j),ki(n,q)};for(let O=1;O<A;O*=2){let E=O*2;for(let R=O;R>=1;R/=2)v(E,R,[m,y])}for(let O=y;O>A;O/=2){let E=b(),R=new Jse([m,O/2]),P=[[c],[x===null?1:0],[A]],U=x;x=n.runWebGLProgram(R,E,"int32",P),ki(n,U);let j=A/2,q=j*2;for(let X=j;X>=1;X/=2)v(q,X,x.shape)}let k=x;x=Fu({inputs:{x},backend:n,attrs:{begin:0,size:[m,a]}}),ki(n,k);let S=ok({inputs:{x:g,indices:x},backend:n,attrs:{axis:1,batchDims:1}});ki(n,g);let C=u.slice(0,-1);C.push(a),k=x,x=be({inputs:{x},attrs:{shape:C},backend:n}),ki(n,k);let D=S;return S=be({inputs:{x:S},attrs:{shape:C},backend:n}),ki(n,D),[S,x]}var ere={kernelName:Wl,backendName:"webgl",kernelFunc:Qse},tre=class{constructor(e,t,n,s,r,a){this.variableNames=["Image","Transforms"],this.outputShape=a;let o=n==="nearest"?1:2,i;switch(s){case"constant":i=1;break;case"reflect":i=2;break;case"wrap":i=3;break;case"nearest":i=4;break;default:i=1;break}this.userCode= `
2021-09-11 16:29:31 +02:00
float mapCoord ( float outCoord , float len ) {
float inCoord = outCoord ;
2021-09-11 17:17:13 +02:00
if ( $ { i } == 2 ) {
2021-09-11 16:29:31 +02:00
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 ) ;
2021-09-11 17:17:13 +02:00
} else if ( $ { i } == 3 ) {
2021-09-11 16:29:31 +02:00
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 ) ;
2021-09-11 17:17:13 +02:00
} else if ( $ { i } == 4 ) {
2021-09-11 16:29:31 +02:00
return clamp ( outCoord , 0.0 , len - 1.0 ) ;
} else {
return outCoord ;
}
2021-07-29 22:35:16 +02:00
}
2021-09-11 16:29:31 +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 ( $ { r } ) ;
}
return outputValue ;
}
2021-07-29 22:35:16 +02:00
2021-09-11 16:29:31 +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 ( $ { r } ) ;
} 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 } ) ) ;
2021-08-14 17:16:26 +02:00
2021-09-11 17:17:13 +02:00
if ( $ { o } == 1 ) {
2021-09-11 16:29:31 +02:00
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 ) ;
}
2021-09-28 18:01:48 +02:00
` }};function nre(e){let{inputs:t,backend:n,attrs:s}=e,{image:r,transforms:a}=t,{interpolation:o,fillMode:i,fillValue:l,outputShape:u}=s,[c,d,p,h]=r.shape,[f,m]=u!=null?u:[d,p],g=[c,f,m,h],A=new tre(d,p,o,i,l,g);return n.runWebGLProgram(A,[r,a],"float32")}var sre={kernelName:Vl,backendName:"webgl",kernelFunc:nre};function rre(e){let{inputs:t,attrs:n,backend:s}=e,{axis:r}=n,{x:a}=t;Cu(a,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let o=s.readSync(a.dataId),{outputValues:i,outputShape:l,indices:u}=CK(o,r,a.shape,a.dtype);return[s.makeTensorInfo(l,a.dtype,i),s.makeTensorInfo([u.length],"int32",u)]}var are={kernelName:dh,backendName:"webgl",kernelFunc:rre};function ore(e){let{inputs:t,backend:n,attrs:s}=e,{value:r}=t,{axis:a}=s;a<0&&(a+=r.shape.length);let o=r,i=o.shape.length,l=r.shape[a],u=new Array(i-1),c=0;for(let m=0;m<i;m++)m!==a&&(u[c++]=o.shape[m]);let d=[],p=new Array(i).fill(0),h=o.shape.slice();h[a]=1;let f=new Array(l);for(let m=0;m<f.length;m++){p[a]=m;let g=Fu({inputs:{x:o},backend:n,attrs:{begin:p,size:h}}),A=be({inputs:{x:g},backend:n,attrs:{shape:u}});f[m]=A,d.push(g)}return d.forEach(m=>n.disposeIntermediateTensorInfo(m)),f}var ire={kernelName:Ul,backendName:"webgl",kernelFunc:ore},lre=class{constructor(e,t){this.variableNames=["x","segmentIds"];let n=e.windowSize,s=e.batchSize,r=e.inSize,a=e.numSegments,o=a*Math.ceil(r/n);this.outputShape=[s,o];let i="0.0",l="sumValue",u=Math.floor(n/4)*4,c=n%4,d= `
2021-09-11 16:29:31 +02:00
sumValue += dot ( values , segFilter ) ;
2021-09-12 18:42:17 +02:00
` ,p="";r%n>0&&(p= `
2021-09-11 16:29:31 +02:00
if ( inIdx < 0 || inIdx >= $ { r } ) {
return initializationValue ;
2021-09-05 22:42:11 +02:00
}
2021-09-12 18:42:17 +02:00
` );let h="";r%n>0&&(h= `
2021-09-11 16:29:31 +02:00
if ( inIdx < 0 || inIdx >= $ { r } ) {
return - 1.0 ;
2021-09-05 22:42:11 +02:00
}
2021-09-11 16:29:31 +02:00
` ),this.userCode= `
2021-09-11 17:17:13 +02:00
const float initializationValue = $ { i } ;
2021-09-11 16:29:31 +02:00
float getValue ( int batch , int inIdx ) {
2021-09-12 18:42:17 +02:00
$ { p }
2021-09-11 16:29:31 +02:00
return getX ( batch , inIdx ) ;
2021-09-01 00:22:16 +02:00
}
2021-07-29 22:35:16 +02:00
2021-09-11 16:29:31 +02:00
float getSegmentIdAtIndex ( int inIdx ) {
2021-09-12 18:42:17 +02:00
$ { h }
2021-09-11 16:29:31 +02:00
return getSegmentIds ( inIdx ) ;
2021-09-05 22:42:11 +02:00
}
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = int ( floor ( float ( outIdx ) / float (
2021-09-11 17:17:13 +02:00
$ { a } ) ) * float ( $ { n } ) ) ;
int currentSeg = int ( mod ( float ( outIdx ) , float ( $ { a } ) ) ) ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
float sumValue = 0.0 ;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
for ( int i = 0 ; i < $ { u } ; i += 4 ) {
int inIdx = inOffset + i ;
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
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
) ;
2021-09-01 00:24:30 +02:00
2021-09-11 17:17:13 +02:00
$ { d }
2021-09-05 22:42:11 +02:00
}
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
int inIdx = inOffset + $ { u } ;
2021-09-11 17:17:13 +02:00
if ( $ { c === 1 } ) {
2021-09-11 16:29:31 +02:00
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
) ;
2021-09-11 17:17:13 +02:00
$ { d }
} else if ( $ { c === 2 } ) {
2021-09-11 16:29:31 +02:00
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
) ;
2021-09-11 17:17:13 +02:00
$ { d }
} else if ( $ { c === 3 } ) {
2021-09-11 16:29:31 +02:00
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
) ;
2021-09-11 17:17:13 +02:00
$ { d }
2021-06-07 02:34:29 +02:00
}
2021-09-11 16:29:31 +02:00
setOutput ( $ { l } ) ;
2021-06-07 02:34:29 +02:00
}
2021-09-28 19:48:29 +02:00
` }};function ure(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,segmentIds:a}=t,{numSegments:o}=s,i=r.shape.length,l=[],u=0,c=_.getAxesPermutation([u],i),d=r;c!=null&&(d=Fn({inputs:{x:r},backend:n,attrs:{perm:c}}),l.push(d),u=_.getInnerMostAxes(1,i)[0]);let p=_.segment_util.computeOutShape(d.shape,u,o),h=w.sizeFromShape([d.shape[u]]),f=be({inputs:{x:d},backend:n,attrs:{shape:[-1,h]}});l.push(f);let m=yh(r.dtype),g=(b,v,k,S,C)=>{let D=b.shape[0],O=b.shape[1],E=_.segment_util.segOpComputeOptimalWindowSize(O,C),R={windowSize:E,inSize:O,batchSize:D,numSegments:C},T=new lre(R,v),P=n.compileAndRun(T,[b,k],S);if(l.push(P),P.shape[1]===C)return P;let U=mk({backend:n,attrs:{start:0,stop:C,step:1,dtype:"float32"}}),j=bk({inputs:{x:U},backend:n,attrs:{reps:[O/E]}});return l.push(U),l.push(j),g(P,v,j,S,C)},A=g(f,"unsortedSegmentSum",a,m,o),y=be({inputs:{x:A},backend:n,attrs:{shape:p}}),x=y;if(c!=null){l.push(y);let b=_.getUndoAxesPermutation(c);x=Fn({inputs:{x},backend:n,attrs:{perm:b}})}return l.forEach(b=>n.disposeIntermediateTensorInfo(b)),x}var cre={kernelName:Ic,backendName:"webgl",kernelFunc:ure},dre=[Lee,Vee,SZ,TZ,RZ, $ Z,OZ,zZ,BZ,VZ,jZ,XZ,YZ,eY,iY,sY,cY,fY,pY,yY,bY,wY,CY, $ Y,OY,WY,UY,qY,ZY,oZ,tJ,dJ,hJ,aJ,AJ,xJ,mJ,wJ,SJ,NJ,RJ,_J,OJ,WJ,UJ,MJ,jJ,KJ,YJ,tQ,aQ,uQ,pQ,hQ,fQ,gQ,yQ,bQ,wQ,IQ,NQ,DQ,FQ,PQ,LQ,VQ,jQ,ZQ,aZ,JQ,QY,tee,ree,iee,lZ,dee,mee,Aee,Iee,vee,Nee,Dee,Oee,Hee,Jee,Zee,nte,rte,ote,Xee,lte,cte,fte,yte,wte,Rte,hZ,_te,Ote,zte,Wte,MY,Hte,jte,Xte,Yte,tne,cZ,sne,rne,zY,Cte,ine,mne,dne,mZ,xne,wne,Cne,Ene, $ ne,One,zne,Wne,Une,jne,Kne,Yne,ese,sse,ose,DY,Nte,use,dse,hse,mse,Ase,xse,vse,kse,Sse,Nse,Rse,_se,Ose,Mse,Lse,Wse,Tte,wZ,Hse,qse,Zse,ere,sre,kZ,are,ire,cre,Gte];for(let e of dre)ua(e);var qn;(function(e){e[e.float32=0]="float32",e[e.int32=1]="int32",e[e.bool=2]="bool",e[e.string=3]="string",e[e.complex64=4]="complex64"})(qn||(qn={}));var Pd;(function(e){e[e.linear=0]="linear",e[e.relu=1]="relu",e[e.relu6=2]="relu6",e[e.prelu=3]="prelu",e[e.leakyrelu=4]="leakyrelu",e[e.sigmoid=5]="sigmoid",e[e.elu=6]="elu"})(Pd||(Pd={}));var wk;function pre(e){wk=e.wasm.cwrap(Wo,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function hre(e){let{inputs:t,backend:n,attrs:s}=e,{a:r,b:a,bias:o,preluActivationWeights:i}=t;if(r.dtype!=="float32"||a.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:l,transposeB:u,activation:c,leakyreluAlpha:d}=s,p=n.dataIdMap.get(r.dataId).id,h=n.dataIdMap.get(a.dataId).id,f=0;if(o!=null){let C=n.dataIdMap.get(o.dataId);if(C.shape.length!==1)throw new Error( ` _FusedMatMul only supports rank - 1 bias but got rank $ { C . shape . length } . ` );f=C.id}let m=i==null?0:n.dataIdMap.get(i.dataId).id,g=Pd[c];if(g==null)throw new Error( ` $ { c } activation not yet supported for FusedConv2D in the wasm backend . ` );let A=l?r.shape[2]:r.shape[1],y=u?a.shape[1]:a.shape[2],x=r.shape[0],b=n.makeOutput([x,A,y],r.dtype),v=n.dataIdMap.get(b.dataId).id,k=new Uint8Array(new Int32Array(r.shape).buffer),S=new Uint8Array(new Int32Array(a.shape).buffer);return wk(p,k,r.shape.length,h,S,a.shape.length,l,u,g,f,m,d||0,v),b}var fre={kernelName:Wo,backendName:"wasm",setupFunc:pre,kernelFunc:hre};function vn(e){let t;function n(r){t=r.wasm.cwrap(e,null,["number","number"])}function s(r){let{backend:a,inputs:{x:o}}=r,i=a.dataIdMap.get(o.dataId).id,l=a.makeOutput(o.shape,o.dtype),u=a.dataIdMap.get(l.dataId).id;return w.sizeFromShape(l.shape)===0||t(i,u),l}return{kernelName:e,backendName:"wasm",setupFunc:n,kernelFunc:s}}var mre=vn(Gi);function On(e,t,n){let s;function r(o){s=o.wasm.cwrap(e,null,["number","array","number","number","array","number","number","number"])}function a(o){let{backend:i,inputs:l}=o,{a:u,b:c}=l,d=i.dataIdMap.get(u.dataId).id,p=i.dataIdMap.get(c.dataId).id,h=n!=null?n:u.dtype,f=_.assertAndGetBroadcastShape(u.shape,c.shape),m=i.makeOutput(f,h);if(w.sizeFromShape(f)===0)return m;let g=new Uint8Array(new Int32Array(u.shape).buffer),A=new Uint8Array(new Int32Array(c.shape).buffer),y=i.dataIdMap.get(m.dataId).id,x=()=>s
2021-09-11 16:29:31 +02:00
` ),k.FRAGMENT_IDENTITY=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","void main(void) {","gl_FragColor = texture2D(texture, vUv);","}"].join( `
2021-09-28 18:01:48 +02:00
` ),c=new Ble(m,k.VERTEX_IDENTITY,v);let S=Float32Array.BYTES_PER_ELEMENT,C=4*S;return m.enableVertexAttribArray(c.attribute.pos),m.vertexAttribPointer(c.attribute.pos,2,m.FLOAT,!1,C,0*S),m.enableVertexAttribArray(c.attribute.uv),m.vertexAttribPointer(c.attribute.uv,2,m.FLOAT,!1,C,2*S),h[v]=c,c};d.colorMatrix=function(v){let k=new Float32Array(v);k[4]/=255,k[9]/=255,k[14]/=255,k[19]/=255;let S=k[18]===1&&k[3]===0&&k[8]===0&&k[13]===0&&k[15]===0&&k[16]===0&&k[17]===0&&k[19]===0?d.colorMatrix.SHADER.WITHOUT_ALPHA:d.colorMatrix.SHADER.WITH_ALPHA,C=b(S);m.uniform1fv(C.uniform.m,k),x()},d.colorMatrix.SHADER={},d.colorMatrix.SHADER.WITH_ALPHA=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","uniform float m[20];","void main(void) {","vec4 c = texture2D(texture, vUv);","gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];","gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];","gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];","gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];","}"].join( `
2021-09-11 17:17:13 +02:00
` ),d.colorMatrix.SHADER.WITHOUT_ALPHA=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","uniform float m[20];","void main(void) {","vec4 c = texture2D(texture, vUv);","gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[4];","gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[9];","gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14];","gl_FragColor.a = c.a;","}"].join( `
2021-09-15 04:07:13 +02:00
` ),d.brightness=function(v){let k=(v||0)+1;d.colorMatrix([k,0,0,0,0,0,k,0,0,0,0,0,k,0,0,0,0,0,1,0])},d.saturation=function(v){let k=(v||0)*2/3+1,S=(k-1)*-.5;d.colorMatrix([k,S,S,0,0,S,k,S,0,0,S,S,k,0,0,0,0,0,1,0])},d.desaturate=function(){d.saturation(-1)},d.contrast=function(v){let k=(v||0)+1,S=-128*(k-1);d.colorMatrix([k,0,0,0,S,0,k,0,0,S,0,0,k,0,S,0,0,0,1,0])},d.negative=function(){d.contrast(-2)},d.hue=function(v){v=(v||0)/180*Math.PI;let k=Math.cos(v),S=Math.sin(v),C=.213,D=.715,O=.072;d.colorMatrix([C+k*(1-C)+S*-C,D+k*-D+S*-D,O+k*-O+S*(1-O),0,0,C+k*-C+S*.143,D+k*(1-D)+S*.14,O+k*-O+S*-.283,0,0,C+k*-C+S*-(1-C),D+k*-D+S*D,O+k*(1-O)+S*O,0,0,0,0,0,1,0])},d.desaturateLuminance=function(){d.colorMatrix([.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,0,0,0,1,0])},d.sepia=function(){d.colorMatrix([.393,.7689999,.18899999,0,0,.349,.6859999,.16799999,0,0,.272,.5339999,.13099999,0,0,0,0,0,1,0])},d.brownie=function(){d.colorMatrix([.5997023498159715,.34553243048391263,-.2708298674538042,0,47.43192855600873,-.037703249837783157,.8609577587992641,.15059552388459913,0,-36.96841498319127,.24113635128153335,-.07441037908422492,.44972182064877153,0,-7.562075277591283,0,0,0,1,0])},d.vintagePinhole=function(){d.colorMatrix([.6279345635605994,.3202183420819367,-.03965408211312453,0,9.651285835294123,.02578397704808868,.6441188644374771,.03259127616149294,0,7.462829176470591,.0466055556782719,-.0851232987247891,.5241648018700465,0,5.159190588235296,0,0,0,1,0])},d.kodachrome=function(){d.colorMatrix([1.1285582396593525,-.3967382283601348,-.03992559172921793,0,63.72958762196502,-.16404339962244616,1.0835251566291304,-.05498805115633132,0,24.732407896706203,-.16786010706155763,-.5603416277695248,1.6014850761964943,0,35.62982807460946,0,0,0,1,0])},d.technicolor=function(){d.colorMatrix([1.9125277891456083,-.8545344976951645,-.09155508482755585,0,11.793603434377337,-.3087833385928097,1.7658908555458428,-.10601743074722245,0,-70.35205161461398,-.231103377548616,-.7501899197440212,1.847597816108189,0,30.950940869491138,0,0,0,1,0])},d.polaroid=function(){d.colorMatrix([1.438,-.062,-.062,0,0,-.122,1.378,-.122,0,0,-.016,-.016,1.483,0,0,0,0,0,1,0])},d.shiftToBGR=function(){d.colorMatrix([0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0])},d.convolution=function(v){let k=new Float32Array(v),S=1/i,C=1/l,D=b(d.convolution.SHADER);m.uniform1fv(D.uniform.m,k),m.uniform2f(D.uniform.px,S,C),x()},d.convolution.SHADER=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","uniform vec2 px;","uniform float m[9];","void main(void) {","vec4 c11 = texture2D(texture, vUv - px);","vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y));","vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y));","vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) );","vec4 c22 = texture2D(texture, vUv);","vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) );","vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) );","vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) );","vec4 c33 = texture2D(texture, vUv + px );","gl_FragColor = ","c11 * m[0] + c12 * m[1] + c22 * m[2] +","c21 * m[3] + c22 * m[4] + c23 * m[5] +","c31 * m[6] + c32 * m[7] + c33 * m[8];","gl_FragColor.a = c22.a;","}"].join( `
2021-09-11 17:17:13 +02:00
` ),d.detectEdges=function(){d.convolution.call(this,[0,1,0,1,-4,1,0,1,0])},d.sobelX=function(){d.convolution.call(this,[-1,0,1,-2,0,2,-1,0,1])},d.sobelY=function(){d.convolution.call(this,[-1,-2,-1,0,0,0,1,2,1])},d.sharpen=function(v){let k=v||1;d.convolution.call(this,[0,-1*k,0,-1*k,1+4*k,-1*k,0,-1*k,0])},d.emboss=function(v){let k=v||1;d.convolution.call(this,[-2*k,-1*k,0,-1*k,1,1*k,0,1*k,2*k])},d.blur=function(v){let k=v/7/i,S=v/7/l,C=b(d.blur.SHADER);m.uniform2f(C.uniform.px,0,S),x(f.INTERMEDIATE),m.uniform2f(C.uniform.px,k,0),x()},d.blur.SHADER=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","uniform vec2 px;","void main(void) {","gl_FragColor = vec4(0.0);","gl_FragColor += texture2D(texture, vUv + vec2(-7.0*px.x, -7.0*px.y))*0.0044299121055113265;","gl_FragColor += texture2D(texture, vUv + vec2(-6.0*px.x, -6.0*px.y))*0.00895781211794;","gl_FragColor += texture2D(texture, vUv + vec2(-5.0*px.x, -5.0*px.y))*0.0215963866053;","gl_FragColor += texture2D(texture, vUv + vec2(-4.0*px.x, -4.0*px.y))*0.0443683338718;","gl_FragColor += texture2D(texture, vUv + vec2(-3.0*px.x, -3.0*px.y))*0.0776744219933;","gl_FragColor += texture2D(texture, vUv + vec2(-2.0*px.x, -2.0*px.y))*0.115876621105;","gl_FragColor += texture2D(texture, vUv + vec2(-1.0*px.x, -1.0*px.y))*0.147308056121;","gl_FragColor += texture2D(texture, vUv )*0.159576912161;","gl_FragColor += texture2D(texture, vUv + vec2( 1.0*px.x, 1.0*px.y))*0.147308056121;","gl_FragColor += texture2D(texture, vUv + vec2( 2.0*px.x, 2.0*px.y))*0.115876621105;","gl_FragColor += texture2D(texture, vUv + vec2( 3.0*px.x, 3.0*px.y))*0.0776744219933;","gl_FragColor += texture2D(texture, vUv + vec2( 4.0*px.x, 4.0*px.y))*0.0443683338718;","gl_FragColor += texture2D(texture, vUv + vec2( 5.0*px.x, 5.0*px.y))*0.0215963866053;","gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794;","gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265;","}"].join( `
` ),d.pixelate=function(v){let k=v/i,S=v/l,C=b(d.pixelate.SHADER);m.uniform2f(C.uniform.size,k,S),x()},d.pixelate.SHADER=["precision highp float;","varying vec2 vUv;","uniform vec2 size;","uniform sampler2D texture;","vec2 pixelate(vec2 coord, vec2 size) {","return floor( coord / size ) * size;","}","void main(void) {","gl_FragColor = vec4(0.0);","vec2 coord = pixelate(vUv, size);","gl_FragColor += texture2D(texture, coord);","}"].join( `
2021-09-28 19:48:29 +02:00
` )}var N0=2048,Oe,Nt,jt;function ds(e,t){let n;return oe.browser?oe.offscreen?n=new OffscreenCanvas(e,t):(n=document.createElement("canvas"),n.width=e,n.height=t):typeof oe.Canvas!="undefined"?n=new oe.Canvas(e,t):typeof globalThis.Canvas!="undefined"&&(n=new globalThis.Canvas(e,t)),n}function zu(e,t){let n;if(!e)return t.debug&&re("input is missing"),{tensor:null,canvas:null};if(!(e instanceof He)&&!(typeof Image!="undefined"&&e instanceof Image)&&!(typeof oe.Canvas!="undefined"&&e instanceof oe.Canvas)&&!(typeof globalThis.Canvas!="undefined"&&e instanceof globalThis.Canvas)&&!(typeof ImageData!="undefined"&&e instanceof ImageData)&&!(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)&&!(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)&&!(typeof HTMLMediaElement!="undefined"&&e instanceof HTMLMediaElement)&&!(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)&&!(typeof HTMLCanvasElement!="undefined"&&e instanceof HTMLCanvasElement)&&!(typeof OffscreenCanvas!="undefined"&&e instanceof OffscreenCanvas))throw new Error("input type is not recognized");if(e instanceof He){if(e.isDisposedInternal)throw new Error("input tensor is disposed");if(e.shape&&e.shape.length===4&&e.shape[0]===1&&e.shape[3]===3)n=Hs(e);else throw new Error( ` input tensor shape must be [ 1 , height , width , 3 ] and instead was $ { e . shape } ` )}else{if(typeof e.readyState!="undefined"&&e.readyState<=2)return t.debug&&re("input stream is not ready"),{tensor:null,canvas:Oe};let s=e.naturalWidth||e.videoWidth||e.width||e.shape&&e.shape[1]>0,r=e.naturalHeight||e.videoHeight||e.height||e.shape&&e.shape[2]>0;if(!s||!r)return t.debug&&re("cannot determine input dimensions"),{tensor:null,canvas:Oe};let a=s,o=r;if(a>N0&&(a=N0,o=Math.trunc(a*r/s)),o>N0&&(o=N0,a=Math.trunc(o*s/r)),(t.filter.width||0)>0?a=t.filter.width:(t.filter.height||0)>0&&(a=s*((t.filter.height||0)/r)),(t.filter.height||0)>0?o=t.filter.height:(t.filter.width||0)>0&&(o=r*((t.filter.width||0)/s)),!a||!o)throw new Error("input cannot determine dimension");(!Oe||(Oe==null?void 0:Oe.width)!==a||(Oe==null?void 0:Oe.height)!==o)&&(Oe=ds(a,o));let i=Oe.getContext("2d");if(typeof ImageData!="undefined"&&e instanceof ImageData?i.putImageData(e,0,0):t.filter.flip&&typeof i.translate!="undefined"?(i.translate(s,0),i.scale(-1,1),i.drawImage(e,0,0,s,r,0,0,Oe==null?void 0:Oe.width,Oe==null?void 0:Oe.height),i.setTransform(1,0,0,1,0,0)):i.drawImage(e,0,0,s,r,0,0,Oe==null?void 0:Oe.width,Oe==null?void 0:Oe.height),t.filter.enabled&&oe.webgl.supported){if((!jt||!Nt||Oe.width!==Nt.width||(Oe==null?void 0:Oe.height)!==(Nt==null?void 0:Nt.height))&&(Nt=ds(Oe==null?void 0:Oe.width,Oe==null?void 0:Oe.height),(Nt==null?void 0:Nt.width)!==(Oe==null?void 0:Oe.width)&&(Nt.width=Oe==null?void 0:Oe.width),(Nt==null?void 0:Nt.height)!==(Oe==null?void 0:Oe.height)&&(Nt.height=Oe==null?void 0:Oe.height),jt=oe.browser?new E8({canvas:Nt}):null),!jt)return{tensor:null,canvas:Oe};jt.reset(),jt.addFilter("brightness",t.filter.brightness),t.filter.contrast!==0&&jt.addFilter("contrast",t.filter.contrast),t.filter.sharpness!==0&&jt.addFilter("sharpen",t.filter.sharpness),t.filter.blur!==0&&jt.addFilter("blur",t.filter.blur),t.filter.saturation!==0&&jt.addFilter("saturation",t.filter.saturation),t.filter.hue!==0&&jt.addFilter("hue",t.filter.hue),t.filter.negative&&jt.addFilter("negative"),t.filter.sepia&&jt.addFilter("sepia"),t.filter.vintage&&jt.addFilter("brownie"),t.filter.sepia&&jt.addFilter("sepia"),t.filter.kodachrome&&jt.addFilter("kodachrome"),t.filter.technicolor&&jt.addFilter("technicolor"),t.filter.polaroid&&jt.addFilter("polaroid"),t.filter.pixelate!==0&&jt.addFilter("pixelate",t.filter.pixelate),jt.apply(Oe)}else Nt=Oe,jt&&(jt=null);if(!n){let l;if(Nt.data){let u=[Nt.height,Nt.width,3];l=vh(Nt.data,u,"float32")}else if(typeof ImageData!="undefined"&&Nt instanceof ImageData)l=_s?_s.fromPixels(Nt):null;else if(t.backend==="webgl"||t.backend==="humangl"){let u=ds(a,o);u.width=a,u.height=o;let c=u.getContext("2d");c==null||c.drawImage(Nt,0,0);try{l=_s&&oe.browser?_s.fromPixels(u):null}ca
2021-03-10 00:32:35 +01:00
/ 9 j / 4 A A Q S k Z J R g A B A Q E A Y A B g A A D / 4 Q B o R X h p Z g A A T U 0 A K g A A A A g A B A E a A A U A A A A B A A A A P g E b A A U A
AAABAAAARgEoAAMAAAABAAIAAAExAAIAAAARAAAATgAAAAAAAABgAAAAAQAAAGAAAAABcGFpbnQu
bmV0IDQuMi4xMwAA / 9 sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgXFBYWGh0lHxob
IxwWFiAsICMmJykqKRkfLTAtKDAlKCko / 9 sAQwEHBwcKCAoTCgoTKBoWGigoKCgoKCgoKCgoKCgo
KCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgo / 8 AAEQgBAAEAAwEhAAIRAQMRAf / E
AB8AAAEFAQEBAQEBAAAAAAAAAAABAgMEBQYHCAkKC //EALUQAAIBAwMCBAMFBQQEAAABfQECAwAE
EQUSITFBBhNRYQcicRQygZGhCCNCscEVUtHwJDNicoIJChYXGBkaJSYnKCkqNDU2Nzg5OkNERUZH
SElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6g4SFhoeIiYqSk5SVlpeYmZqio6Slpqeoqaqys7S1
tre4ubrCw8TFxsfIycrS09TV1tfY2drh4uPk5ebn6Onq8fLz9PX29 / j5 + v / EAB8BAAMBAQEBAQEB
AQEAAAAAAAABAgMEBQYHCAkKC //EALURAAIBAgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXET
IjKBCBRCkaGxwQkjM1LwFWJy0QoWJDThJfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFla
Y2RlZmdoaWpzdHV2d3h5eoKDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXG
x8jJytLT1NXW19jZ2uLj5OXm5 + jp6vLz9PX29 / j5 + v / aAAwDAQACEQMRAD8A + qaKACigApGOKAML
Xp8xlF5A7V4X8RtYs7PzfNImnx8sa8Kp9z3q2tEgp6angWs62ZZ5CTGoJ6DArGNz5p + UrID6EUrF
PUlW1EuN0XNW7PQ2L5j3JnoKXN0KijqNP0eYoqXBdgPuuo + ZPeupisWn2Jd4 + 0 r924XgsQOCff3 /
AJ1FzRKxDqGii6m3siiQ8F1XGfXI6YNWLfRbiRQMkcZI9fpTDluT2 / h6Qy8gDPbtmtG38JeY480Z
5 zSLUTZg8M28YwYxjAArXtdPt402qgHbpSaLWhma3o0Uqk7Nx9DWLaaVblgPs6qRyds2M / gRSQp9
zZOni2iWS2hlQ + kjYz9OMGrdjq89vIPPVhj + 8 M / lQyDq9P1WOYBlMZz1AOD + VdDaTiReOKulK0jO
tHmi0WDTlr0TyxRVhT8tJjIX + 9 SUxHXUV553BRQAVBcPhSBTSuxPY86 + IGti0s5I7dsORy9fM3i6
8e8 mfDO5P90ZrWWiJicNPpZZtxV / xrW0jQt4DOv6Vk2dEEdTY6BHuB25rpbPSo0QARjP0qTRI17W
wA / hFaMWmoQMgflQXYsDS142rU9tpqqenfNA7GgtihxkdKuRW6qMY / GkDZY8sY4Ap4hXbyB + VArk
EtuH4wPyrk / EGkOm + a3jw3suRQLc5i38SX9hJ9nnY + XnBUdPyNdFY6pa3KkkAE9l6f8AfJ / pSJT6
GhDmI + Zb4ZRycdv6ium0nUhKFydrelTsNnS2829RnrVgV6NKXNG55lWPLIM81Op + WrZkRMfmNNzT
A7GivPO4KKAEY4XNYWt3vkwPg4OK0giJdjw / xrqhm87Zs8tc7pX5A + leSajf6aHYJ50kn4AZpTep
rBWRm2Vobm4BXfyehPFdnpmnBFUY5rI2SN63tlToK0YI + KZpFF + 3 QdavwoKTLtoW0Toaswpk5pCb
LCxipAhoIuP2dKevHXoaYDylRyxhlwRQI4nxVoCXWZI1GfpXGtbSWjYPGP73 + NIGupt6TqMsLruZ
ih4xnP5V09mQ + JLd8gn0xSYJnVaVdkook69K34zuUGunDS3Rx4qOzHVIp4rrOMY3NJQI7GivPO8K
KAILt9kZrz3xlebYiu8KCCWb0XvW0NFch6ysfO3jLVjfXLIn + pQkKorl7WxNxIPl71g2dUUdpo + l
pBGvHPet23iC8ihFosrxirkHQUFo0IF4FXI1O726CpKLacCrMJoJLYHAPpTwucHpSRJJ5e4AZI9x
UqpxzVpCuOC8cUpQUMRnXttuB4rjNdsYyeVwfXpmpGmcvcQyafMCFJjPY10eg34BUg4DcZP8jUO4
HaRq3lLNF + IHet7R7jz7c56rwa2wz9 + xhiVeFy / T1PFegeaNPWigDsc0ZrzzvDNIaAM7VpNqdegr
xL4l6kywyRhseZ19lrdfAZL4jxYg3Fw20d63tJsdrDI5rm3Z3R0R0Mce1eKnQYAplIkWrMJ45oZS
NO3PHbNXIyfpSGWowSOasxLUiZdjFSqtNEMkUemKlAGKsRJjAppFAiORMjmsTVrNZEO4cfSoZSOD
1 eJ7WXBUzQZ + 7 nkfSo7e2Ei + ZaMzxntjBX2NSU1Y6 / wxqojiEFzkA8KTXYaUoWRyv3W5rSjpNHPX
+ BmpSg8V6J5gUUAdhRXnneFFAGHrTfu5PpXzj8S70 / aZtxzztXFbv4DKHxHI + H4GZiz9zxXXW8G3
GBXMjvLRXAx0oPGPSmMVeOnWrMTYpFI0bcg1fh54xmgovRcD3qxETSIZcRvzp + / B p E k q s B U q s M 9 K
q4Em4Gkxk0yRGXrVW6i8yFhkg + tJjRxGsWrxllkUMh9eK5uMz6bcebbnfG33kPcVkay2OntPKuo0
nhXI67c8qa7Lw3c + adjcEDGK1paSRhVV4s6A0or0jyRRQ1AHX0V553hRQBz + vNtt5z3xXzX8Qbdm
uic5YnOMdK3l8JnTXvlbwpYl + WySOgrp5YfLOOB9O1c62O7qQkc + 9 RsKChFPWp4DluOlSykaNruH
ArUgHShFNF2NT1qxGO3NBmyxGcE1N2560CFzjrUysO9JAPDDjFOVuKoQuSRTWouBkazbCa3cd8cV
wF7IISQccHBzUSWpV9C3o1x5b5GAjdQD1rs9DjC3kckbEhqKfxIzn8LOupRXqnkPccBSkUAzraK8
87 wooA5rxMSI3HqK8B8bQl9Q8sffY5b / AAraXwkUviNrw9pH2W1ViMMRTdRjw4HpWNtDti9TPc4P
FQs2M5qdyyMHLcfjV63HTAoBGtap0wK0YxigpsuRDtVhVYd6GQydVwwIqdRnqKCR23I5pCMUW6gD
YNKuetAEise9KTxQBWuFyhrznxNZkXjFeN3I + tTIZg2OqmzmxNF0PO3vXp / g2 + hukVl4zyPanTXv
JmVR + 60 dpThXpnlPceopWFAbnV0V553hSGgRynjC5FujOey14Ssp1HxNmTnc + a3kvcIpv37HoEYQ
QmMdVHSsnVbYJF5jVk0dsNzlruVIsl2wKxbjWrVHILjg1CRbZJb + ILHPzyhfStODWLQgFJFYd + el
UJM27HUIXxhga1Y5lLVLKLkMnoauxnPPrSEx7ShF + Y / n2qrc6xBbhizDAqkK1zJuvG9nbg8ZA681
ly / Ei052RO3uKAsZlx8QGd8xxvt9Aa1NH8dK7AXMcip64zigdkdrZX8F7EJLdwwNXMkrz1qRMRly
CK4TxmpidWI49felPYSOMmi80NIoOV6qRzXYeA5SskYPfirpfEjGr8LPWVHyD6U4CvQPL3ZItOYc
UDOoNFeed4Uhpks4H4iE / Z5MeleMeGULeLgjds10S + BGdL + Jc9OSBU2Huc5Nc74yvUtrcDBrJnZF
63 PJdXvLy / lKWw46bvQVz82jXhkLO5Y + 9 ZlsYthcRnbIjY9R3q3awTRkEM3WmJI6C0ea3dGRsr1x
XY6TqW9FLHnjrUs0izpLK5DDjofSta3ckH09KRUkZuuTvFGdvPauE1Y3U6Mqbssf / rUxHPTaJPK2
ZmJPbBqzY6DCZh5xJC9s9aBJHU6dpemJjfEmfetJtI0 + VPkUr / unFOxdiextHs33W07YHQHk11mk
Xb3KbZ1xIvcd6LEyWho4Nct41sTPYb16ipexCPPZN + wYGCvH1rrPAEJmvkPoc1VL4kZVvgZ6yFwK
cBXoHkkqinFaVyzo80GuE7WJRQSziPiGdthK5HQV4x4J / wBI8WPIewNdEvgRNL42emO / yj1UHNef
eNpRczbC + I17DvWT2OqJxc0sMK4TCisy41q0hfEkqj8aixdwTXNOlwvmqD9anS9tXH7uVG + hosO4
/ w C 0 o O h r R 0 + 6 G 4 Y N I E z s N E u C x A P N d j Z r u A 4 x x U m j I N S j U R k s O l c b q F y k b n j F A 1 s Y G o a s s a k n C q O 5
rl7rxhGm7yBnBxuJq0rkSlYpw + NLlsfd5P8AerVsvHEqSBHwPVgcgVpyMyVXU3rXxcHYETAk + hru
/ D W t i 6 Z S T y O K z Z q n d H a x v v U G q 2 r Q + d Y y q R 2 4 q W I 8 d v b r 7 L q D x y D A z X p v w 6 F v I x e P G S M 0 6 X x o y r / A
zviKFHNegeX1J41zUhXioGbuaSuM6wpCaBHG / EcA6HN / exxXjXw2jL67cv8A3Qa6H8CFR + NnoWpO
I4XI44rxLxrqjQzSEsQM1gdSPM9U1uR1YbmWIdXHf2rmpIb67YS28UrRlsLI3c / jW0VZGUpO5pW1
jfLNOjahawzwReYI5cjzMkDavHJ5 / SrVv9uhtPtVxCPLBwzxnlT9KGghLU3tKvvPjHzbl7EGuisJ
GRxWLOg7nRXJEbDjmvSNK + aFSfSoZr0KutRkphc4NcRrdkVjL9aVio7Hk3iqS8ubhrWzUlsZY9kG
cZNc5D4aee5MclzJIFTzHAO0MfatqSOWu7bFS1srDUZEis0vIZoUxPvfcC + 4 / dx2xjr712XiTwXb
WmlQ6hol3cRhoFd4rlg3zY5wR0GelavQwjq7GD4etdVvSnk2wAB + 9 v8A8mvcfA2kXiRo0 / UdcDis
ZnTTulqeoWqbUAJqWUb42X1FZlnjfjSwlGrr5S / eNdD4RkvLAAQ4yRyaUZcruVKl7TQ9I0G + mnzH
ckFwM8VuIK7ac3KF2eXiKapz5UWYxipNtMyNejNch0jSar3cjR27uoyQCRVRWom9DxTx54gu5fMi
lbKdMVjfCZPNlv5v9rFbVHpYqjGzbOn8SzFI9o715L4u0r7arYzk + lYdTqSujy7U / C0u4vHk + WwO
xuh9q3J9dgvbdVukMV1EwbDDgn04rZMwlHoZ + orZ6hfQ3RWVnQYCgZAq + 8 U0ln5NtBsV2yxYcfgK
JtW0CnB31LlroVwJ1nQLGDjeP7w + lb0dsFxjrWB0tHS6NuWPJ6A16ToUm63T3Gallr4S7cxiTjrX
PaxaF7dlVeSMUhxZ5jd + H7qCa4eF3DSE5x3zXN3Wk6jbyeaiFWUY6ZyPStYS5SalPmVipFbX0E4c
W0alvmPHJrag0rVvEE6LdljGpG2NRtQD + tW5XMI0uU9M8NeFo9PiQhecDIIrtrOMIoG3H4VlJm9t
C6CB06VPGM1IHLeItGS6uw + ORT7e3jsbQvj7gzUNam0JaWE + HN7NqOqX80n3FO1RXo8YzXdS + BHk
4 z + KyzGPapcU2YIv7qQtiuaxvcaWqG4O6FwfSrS1JbPnrxoxkv7qIfejcitj4V2f2exumI + 8 + aKn
xHTT + G5d8Txlm4rjLxMsQwzWT3OiK0Mm6sEkVsAcjFc1d + FEmlGwEDPQVopaEuOpr6f4ZWNAu3tW
vHpAj5ZQcUFIWaDjGMVUMQ3cVDBmvbhY7QAV2nh + T / R1yeKhlrY31 + b61FcQK6nIoJMi401WblRi
qr6PCw5UYq9y + YgOgWzNkRrx3xWjp + nx2v3FQcelAbmko9anQ4GBUNisPHWr1qMrQhS2K11HvmYV
hamcxSRZ5xRIqluS / DKAQQXZxyXrvo2FdlL4EeZjH + / Z b j N S Z p s w L N B r E 1 G t 7 V E 4 O D V I l n h / j 6 1 F
j4lmeTGyUbq6LwdEqWbeX0YbhSqfEddP4Bddj4JIrhL5d8h7VjI6oLQqKNzelWre3yc4 / ClFjaL6
wqBxxUUxwCKu5BmXRA6c + 9 ZjP83FSBoQuPs4BrsNBlUW659KmRrDY6G1lyQtW3Hy0lqQ1qVJnAbm
oy3b9KYJCqRj3o4zRctIlhjLHmpSuOBRbQOpLGpPFaES7UqkZzKN1KsEc87 / AHUUmvPLTVGv72aQ
k7WJwKmRrQ3ud74Ltilgz4 ++ 2 a6iNDXdS0gjyMU71my7GpqTbxSbMki3SViajTTHqkSeR / GeyZmg
nQHkEE1S + F + oPPavBL96I4 / Cia1udVF + 4 dVrkW + Fq8 + v4tjMDWUkdVJ6WM0cNV + F + MVmjUcZgqnP
1 qpNNnkcVRLiZtxIS1UzzIF7mghlxUZpVQdq6nTVdAoAOKzkbQWhvwM6gMM1twOJYx3NOJE11Kt1
H1 / pVVlwBkk + 9 NocXoOQ45FPj + fkUJFF2NSB700v / hTEty5ZpkjvVyUgcCq6GM9zC14 / 8 Se6GcZQ
1574 Xs5WkI2HBPHFQ1dm1KSSZ7Rotn9l0 + KPHIHNacae1dy0Vjxaj5ptlhVp + 2 s2CJ9ppCKzuWNx
zSFc1SYrHNeNdIGpaYw25ZeRXmvheyk0jVpEdcLJ0q3ZxNKTa0O3vQHg / DNcHrsJDmsmjspnNzNt
fFIJ24GazOhC + azDmgZIOOKBsp3J2qSaZodubq58yQ4QAnmhGT3NO18pb7BORmu205LfYpyKVkWp
Oxr5gKYWoIZWgfGfloFq1qTPLubnGO1RPtxg4P0oBAkY / hBz6VNDDkZ6AU0W2WSdqkdKr9ZOaGSj
VtcLHmnOcgmmYvcz7mBLy3MbdD1q9ouiRK6bUAVeelOC1InPlidSsWMDFOCEdq3uefykqrinYqGy
rFvApMVka2DAowKAsMkRXQqwyDXn / iWyitNQ3qPl6itIvRoF8RXinW4tQ6HI6GuW8SIVBPalc6qe
5 x9x97r3qruwTjrWZ0ksZ9TUmcDNAmZ9 / wAoao63rR0 + w22MLPtAzt6mghmfofiB76LdJBJBIp5D
d / oa7bSdWLIPnpDi9TM8TeKdas51XTbIyxd3J / pXS + E / EFxqNoFu7do5OmD60maHWrnZyDRkn / 69
MlEyOR0xntVoNx + FUgYjPxg4FLCuWDZyKQr2RoRnP0qO + nEFpJITgAUzLqZnhu6 + 0 rknOTXpOmwJ
Fbrt5yMmnHYyr6Oxb2ijaKLnPYMClwKQWK3n0hn + lachHOJ9pNNN0apQFzsY10a4v4hXQh0xpieQ
MA1XLZNjhK80cT8OdV + 3 Wl3A7ZZJCw + hrR1qLcjZ / CsbnfHRnFXseHJArOYYbrUs1uPhYbuatqFP
ByfSkMq3UIINYkto + 87 Tx6GkSxfsDbflGD7CtTw / pk4nzITtPIFMFudsukh4Rxz71paTpKwP5jcn
0 qTRy0NORMDgVCqewoJTJgAoxjntTiTu7fWmFxAcnn1q3EPl + X8KZMi4gKqB1Peob / Tv7Us5bfeU
yOoq4R5nYxqT5I8xieH9J1DTbvyJELRg8ODwa9Ms5mSFV9BWiptbnNVrKdmif7Q1KLg96XIZc5Is
pNL5pqeUrmMtZs0jzV08phchaY00zH1p2ZNxjS1g + LdJOt6U9ssmxjyGp2urDjLlaZzng / wUPDqz
TSTmWeTrjpVjVk3Rvjr2rnqQ5dDvo1XUd2cTqSNk9OKxXGCeKxZ1DAxHTr2q5C / y8GokUhsz54qu
uCxzSQjQ0 + FZblR2ro4bZYiMVQ0dBb7Qi5x0qzuG5QOh71LYErDufpSeWrHnimIXbjkUjLkH1Hem
gGxryc + tXI19KYmWegq9YLiLJ7mtqS945cS7QsWehqxA9dEjz4krPSxyZqbFFhGxUm6smjRM55Lk
HvSvNxXTY57kLT + 9 MNwKdhXGm5FIbkU7Bca1wMEVhaiuQcVhXWiZ14R6tHGanGBI2OtYkqEHjgVy
s9ErEeo6UBsHipKEZs5qpPdRxcbhx70NCSuybTNWihc5brW9Fq6vjMnFSdEIdDRi8RRKygZbHFbu
m6nb3RA3gMegNJhOm0jbXGOoxTuCc1Rz3FyoGKawz9KaAVcZqeMgCmIkB4FaUTbYwB6V00Fuzixb
0 SFMuDU8Mlbs4UPeXHeiOXkUrDuXYnyKk3cVk0ap6HMxxketSMhrcwRC0dMMZFMQ3yzSeVQAeUaz
9 Vj8uPd271nVV4m + GdpnHX67pCeKyLtBtNcR6xlk9RVeWTb3qRnO6trgttyIfm71z7ai8j7 / AJmN
DNqUVa5Yi1AnjynHuBV + 11 YJhWWXcP8AZNSzqgmaEerSsf3NtIQP4mGKtRavdRgMIpVI9KjU0a7n
R6T43uYQI7qN2Tpkqciu503VVuQGAYZHQjFVc4alPlZrpKGAznpTwxOc9 + lWjIlUACnM4XApiLNk
nmvnsK0NvpXZRVonmYqV52GsmanhXitTmFkSiJTSAvwrxUxXIrJ7miOfjf1pzNWxkRlqYWpgJupu
6 gQbuahvIxPA6eo4pNXVioS5WmefakGhndH4INZs5DJXA10PaTurmLO21uKpSZqGMoXGnRzBiyjd
9 Kx5rcQS428fSkjanLoaOliHGZFB56VswW + mtPufcBsGOAfmxz + tFkd8HpoaUx09FAtFY8DO71qb
Sms / Nb7RbecG6AEjFLS5c78t + p0djpVs9wsyQiJAdyr1rW + zqjErzSe559Sbk9S3C + MA1bjbgE1S
MSXzMVG0vNUI2tPKrAuCMnrVzNd0PhR49W / O2xrHmp4TxVMzQshpIzzQBehqesnuaI5VGzT2bitz
FEbNTC1ADS1JupgG6l3UAc14s04yR / aYRll + 8 BXCtLncDXFWjys9TCz5oW7GddH5qqNzWDOgQnC8
VSuo1kHzAGkPYopEY2 + RWxV23Vzj5G / Kg3jWaNazhZuqNXS6TaKhB2c0jR1nJWOlhOxRxU4YkCgx
Y0OQatQyDbyaaFYe8uF4NY3iC9ltbVGj43NTIL3h7WzMihjzXVQXYYDdW9Cf2WcOJpfaRZ3g9KsQ
mupnCLIabGeaAL0LcVY3cVmzRHIxtUhetzEjZqjLUAIWpN1ArhupwagAfDKQ3Q1594v0c2bm6tx +
5 Y8j + 6 ayrR5onThp8s7dzkZjuqAAmuBnqC7c0iwgtzSA0rWzjfGRW3ZadDu4AoNYo2rfS4v7orSh
05 UA2r0pDbsTm29KRottBNyJ0wpJ9KhD7f6U0ikNWffIFBz60zVUW52ow4UcUN6EPcx44WsbgOmd
ua7TT5Bd24KHnFKnLlZFSN4koluLdueRWvp14swweG9DXoxldHlTjYtzGoo25qzEvwtUxas2jRPQ
5 CNqkLVsYoYzUzdQA3dSFqBBmnqaBhuqhriCXTpVIzxUz + Fl03aSPI9QTypW2 / dz0qKNw3SvOPZR
Mqin8VLKRcs3O4Cuk0w / MDjt1NBtHY6O2IIHY1pxgFaETIRwMkjtVSUEk4570MlFW5bap6dKzWm8
1 tqH8aY + hp2FvGoGayNevVt7 / ap4xzUvYjqTLtvLPcvJxSaVcyWsxTnFZlnT2t15xHmCtOBYwQy4
B9q7cPO + jPPxFO2qLEj5HWo42 + aus4HpoX4W4FTF + KlotbHII9SFuK0MUNZqiLUDE3UbqBBupwag
Bc1DefPbyD / ZND2KjujyPWlKzuPesRZjHJXms9lMuw3StjnmphKDSLTJ7OfE3JrpbO4GQc9qlnRA
3 LO82k5NbFvdADkjBoCSHyXIIIzgVQvdRigT7wzjgUzO1jHknlvG7qnp61etYFQDIpCZoqVijzXn
3 iC8EmsOuaCGb / heR / s0ijkVv6fbxy3QMg5xmsnuX0Ldzut3 + UYTPWk + 2 GJSe + M1pFtamcldalmx
1 eO4XaThhWnC + TXqR2PHqL3maUJ4qRjxSEjj42qXdxVmaGs1MJoATfSbqBAG5p6mgAzTJTmNvpQU
tzzHXY83D / U1zF5FhjgV5r3Pa6FMsV5HWnLe7RhqBRdmTwagN2d2K2rPU1C5LAnPrUs6Iysbdrq6
f3gK0BrUKj / WClY05iM6xLOcQAj3NT29uznfKSzHuadzNu7NSBFjHNSm5VO9IRnajqoWMhTzXFtA
bvUfMduSeg702Qz0rS7FbTToQFwzjJqaGTFyfK5PQViyzUuFmuIdgGABya5u / vTaN5cnUHFUmLoZ
zyskwlgJweSK6zQdUEwVJeGr0aUrxPLxEfe0OrhPAqVjxWhznGRtUwatDK4jNxURbmkAm6jNABup
6 tQAFqhupNtu59qUnZFwV5JHnWsHdIx96w5lz15rzT2uhRmt85xWbcxMnUGmZlB0bdxmrNvFIcfM
350 mWjbs7YkDJY / jW5ZWW4jikWkdNp9mqYJFaJdEHHakUULu / VB1rLn1Ld / FgetMGYd / qWSQmSa0
/ A e m S 3 2 p f a 7 p i L e L k g 9 z 6 U m Q t z 0 W 7 u Q 2 c Z x 0 A 9 B V z R 7 c A e a 6 j 2 r P q X 0 L 9 9 K R a t 5 A 6 D k 1 w O o K Z 5 2 a
YfMORTYRLujiGWEq6 / NWza2yKQVHNdOHerRy4laJo6TTnbbtb8KuM3Fdh5z3OJjbmpt3FaMxAtUZ
agBN1GaQBzTwaAAms3VbjERUGsa07RsdeFpuUuY4jUjljWTKK4j02RE4IpJYFk6imQkVl0xWarsO
mAEcUi0bNnZBR0rWtoguMCkUi21wI161mXuocEKaYXMS4u + pY / hVCSWSY4HT0pEmlouiSahdpEBl
mOceleiwWcNjClvHgJH97Hc1EmVFFi3Czy7mwIl / WtJbjP7uLgd / apQ2VNVvtsBhiPzdK5S4nAuR
nqOCaTGi9pcytPlU + XpmumtWII44rah8ZjiNIXRuWeNvvViQ / LXpJWPJbu7nCRvVkNxVsxBmqJmo
EPiXca0YLMuOlJsuKuPlsSi5IrNuG8s4HWs5VEkbwoOTKsk + FJY4rC1K53k1xTk5O7PSpwVNWRzt
4 cms + WpKICtSLTETQj5q0YeBSGiys23pUguGxQMq3E59ayrm4x3yaAKiRtO2WPHcmhruKFxFajzZ
ScA44qRHoXhuMaLpxaUg6hcDLMf4F9KlhuDeXGASIl + 8 azZslYma68y48m1 + 7 nFW5rtbRNhb5z1p
iMKbUg0zuW4A4rPgb7VdKXOMmpA7HRbMS7nUYiUda0lkQOBngVrS + JGdbWLRt2bAx5BqeQ / LXpnj
PQ4GJ + ashuK0MhWaoWcA0AaOmASMK7jRNPWYBmHyiuepO2x10qfcv6vYxCzYqoGK4HVYVTJrmb5l
c6oaM5TUJ8EgGsG4kLNUHT0M64OaqMMikSRsuKbnFMRLG3zVehOaGNE445NNlnVFpDMu6uie9Vo1
8 z5mOAOST2pDK91cNN + 5 tsrH3PrW54a06KxT7fdrlh / q1Pc + tJ6IUdZGvHPLezMcnBOWbsPap5r3
ylFtbdT1xUWNWzU0 / Zbwlgfmx8zGsHWtRHmMqE59aAMyNifvHPc1f0gtPdqkY5JosJHeNci2tktY
2021-09-28 18:01:48 +02:00
euPnNY + oXWZEVJNrZ9aun8SIq / CzodHuriIokhDIR1ronbKZr0o6o8ipoz //2Q==`,q0=`
2021-03-10 00:32:35 +01:00
/ 9 j / 4 A A Q S k Z J R g A B A Q A A A Q A B A A D / 2 w B D A A s I C A o I B w s K C Q o N D A s N E R w S E Q 8 P E S I Z G h Q c K S Q r K i g k
JyctMkA3LTA9MCcnOEw5PUNFSElIKzZPVU5GVEBHSEX / 2 wBDAQwNDREPESESEiFFLicuRUVFRUVF
RUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUX / wAARCASwBLADASIA
AhEBAxEB / 8 QAGwABAAIDAQEAAAAAAAAAAAAAAAEDAgQFBgf / xABDEAEAAgECBAMECQIDBgUFAQAA
AQIDBBEFEiExE0FRBiJhcRQjMkJSgZGhsWLBJDNyFSVTY3OSNEPR4fAHFjWCokT / xAAYAQEAAwEA
AAAAAAAAAAAAAAAAAQIDBP / EACARAQEBAQADAQEBAQEBAAAAAAABAhEDITFBEjJRIhP / 2 gAMAwEA
AhEDEQA / APqYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAKNTq8OkxzfNkisQC8eb1XtRNbzXT4q7eU2nu0MntRq / D8StMccvW29ZmdvgjsTyvZjxOLj
+ s8WLxn8TFPXs6Oj9oct7c14rkxz22nrB2I49KOdTjelmszfmpMeUxv / AA28OqwZ4icWWtt / SUi4
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmdo3nsPNe0Pt
Fh09Z0 + DNWL7 + 9 O / 7 A3eJcZppsV5raI27esvH6jX5ddM25p79Ilo59VbUZOe2Tm / PeGvfPfT2iKR
PLv1 + DO678XmW / a97U6TtOyzTbTF538 / T9WjTNecm9a7126tqk3rSYxY5ta1plRZqZNXGjyZcPXl
mZmsx + qjBrsuO16xM7eXRt04JrdTltk5OWJnfaWf0a2lty5MdZnfzSn + WOHiOutFpjHa9e8bQ2fp
+ alYy462pk7zXbuxjPesbRS0f6ZZV1ET1tErzXFLHo + A + 1 ddZf6NrI8PJHa1vN6iJi0bxMTHwfOa
zhzd61v1846utwniM6DUdb3nBaNrVmd9vjC / ZVePYirBqMWppz4rxaPgtEAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAItaK1m09ojcHnvarjM8P0vh49 + a / eY8ng9D
h1fGM1rxjtGPfvbzdbjuTJxHX48cTPNltM / KsS9Dw7S49Jp6UpHaGe2vjz1y9J7LYK13vHWe7bj2
ex1tvM80ekuxW3RnW3Vm6P5jRx8H0 + OYmMcb + bapo8GKPdpC6bQwtdHU8JpWkdJ / JweL6e23iU67
d4dubSqyVi9Zi0bwIs68XGp36TtEq7ZJmZmevzdbifCKWtbJinkt6eTgZPFw32t + sRurbWVzxs1y
Rv6T8V1NZNPtfq0seTm + Kevr + SZuxXjvaPiV8N4viycto9HseG6 + uu08W6Rkj7UPmFck1tE1nlmP
Ld3eA8V8HVVi1pjq6Ma / pnqce / ERMTETHaUrKgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAADW19 + TQ5p / p2bLS4v04Zmt5VjeQeJ4bjnLqsupv + Ka1 + ERLv4reTmcNxcuC
vy3l0qdI2hlr66sT02ot0ZV7qqrInruzrVZLGSZ37JjqgYTG0K5lbaFVhDT1Ub456RPweY4hixWi
eSdpjvD1eWejz3FNHWYtkpvFo9EIseb3tS3SerOms22rfpPqZKzvvHSYUz70TExG6Gdbs2rljeJ /
Mx5L0vEzPaelnOi98c9J2bFNTFpit47 + a + PVUvx9T9nOIfT + GV5p3yY / ds67wvsXqpxau + G09Lx +
r3TqrEAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADV4ljnLw3U0jvO
O0fs2lWqyUw6XLkyfYrWZkHldBEV09eveG3Fq1mI3jd4vPrOIaid8G9MP3Y38k6fNrt / rMk9Ou8s
tfXXn49rGWInuy8SO / k5Gl1E3rG / fzbOe94wTy99mbRvTrMOOvNfJWsesywniukrG / jU6fF43WYN
TmtEeJtEQ06aSmK2 + bNtEd + qfSO17unF9Hmvy1y13XWyVmN4tExLxVK8PmNq5NrT58zawam + m / yc
0 Xj8NpRYSvQZ7xEOdqI3rPozxayNRXe0ct / ON03jmrKB5nV4q1yTO20Obmv4c + cx8HoeI6WZpNoj
q83niYmYscU0r8aJ6T1n49zeJ + Meqm1drb9J + Kd5p136StGVem9l9TbHxLDFp7W7 + sS + q1nesT6w
+ PcAzVjiGHftzQ + v4f8AJpv6On8jH9ZgIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAABp8VrW / C9TW0ztOO3b5Nxp8VmI4bn37TWYB8f1HFtTfUfR9FWJmsdZ9I7MtJxDX5s
d8ta1y0xzteaR2277rcuhycP12SceLxMeWNpjttHwlu8I0mfQ1y + D7k5YmJmY36T36Ka43z / AF1t
cI1ds + qxVj7 / AEej19PCw9HJ4NoK4OIU5Y35YmZdzVTGebVZabx5jJS + Tmns81rNLm1Wrzc9rVw4
Yibbem72mXTTS0w0M3BvEta1bWrM95ie5EanY87wXgNOL6XPfxraXLhra / W28bR / dzYzarBqJxRe
bzE7Rt5vWU9n8mPHOGmS0Ypnea1naJb + k9ncNLR7u2y / WcxXO4TOoyUrN6zD0FaW5Y3hu49FiwUi
KxCvLMR0hlW0jn6ukWw3iXjOJzbDlneOj3GaN6zDzfFOH + LE7SRGo83XNSZ2lbG2 / WfdlvaT2cy6
rNFInlrv1mfJ37cK4PwTTxOoidRm2 + / 2 / K F u y M p 4 7 X B 4 L i v X i u n r H 2 b 2 i H 2 q n 2 K / J 8 x 4 f G D N x T S Z
9 Nh8OviRvTyfT6xtWI + DeXs9MNZubypASqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAOZx6 / LoOWPvWiHTcf2hiZ0e8fc2mf1E5 + vP / AEeuSd7RC2uKtI6QjHfeINTfwtPf
Jvty9WPfbt / lucP03gxfJf7d / wBoReYpm97zaNeLb4Ims9Nt94auDjem1Wo5PFi1onylS + 1 o7l8V
bxvtupjDMdNkYtXS1 + Stt + m63xImEJ4xjHER2ZxMUjeUTO3VRmydBbjLJqPi08mbeVOXJPq1sl5Q
Vbkz9 + rRy35rxHqzmZlVEe / Ez5LRlW5iyfR6zffaIjq1OSNZps2a21rZInafSPJhxGMl9LStLRWM
lorM / A4dkrWbYfLZC2W / 7 K6eubX6b4RzT + W76K8b7G6X62cu3Sten59nsm3j + OXz3 / 0 ANGIAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA0OIYfpOHPijvNNo + fdvtXJO18k /
/ O w P F Y b z 2 l s 3 j x 8 V q W 6 x M d W P E d P 9 D 4 l k x / d t 7 9 f l L L H b k x T P w Y 6 n t 2 5 1 2 O R T R z E 2 x 4 / d p E 7 c v k m e
E4IrW3hRMxO8THRtU1FKWtvtvK2upx22rzRCtXkqzh2jtF7ZbT122b01ndnpuWuP3Z3 + Ky20qDVv
fauzVy3mejZzNK8dVjqi87KLRLYtXruqvXzkQp7Qoid88R6rcl + WGlW0 / Sa22mfhCZOq2x082ix6
jkm822pO8VrPdr4dNObVeDo8XW3uzMbzK + mvxT7szE27cvnu9j7PcNjSaXx8mOIzZevbrEeic5tN
+ SZnpt8J4fHD9HXHO3PPW0x / DeBtJxx29vaAJQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAKNRim9Z5e89Nl4DzXtVh5babURHrSf7f3ec1 + qnDorWrvvt5Pccb0n0zhmWk
Rvevv1 + cPE2rGTFNZU26PFfxwa5dVkjelI2772nZnX6bbrEUq3o0d678u8wmuDL2ittvVjXdneeK
cGv4jpJ6U56 + kS7 + j118 + GLXpakzHaWlp9NNY3tv + bbiYiNoQy1y30uyZJlrWmZnuym6q1iIJnop
yW2Te8bdWnnypQqzZOadokiIpSZntWN5lrxki19vNRxrUeBwnNNd + fJEY6 / OejXLn3Xe / wDp9wyn
E8uo4lqqxblv7lJ26T6vpD5X7G8QycKzeBMbzMRM1 / FH / wA / h9QwZ6ajDXLitvWzRgsAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeL45w + dDrZvWv1OWd4 + E + j2jX
12 jx67TWw5Y6T2nzifU + rZ1y9eHwzDYxxEy18 + DJodXfT5o96vafWPVbjyxDn1OOzHudbM0rt2UW
iI69mVtRXZq5tREb9VUoy2iIlRbJ0UX1VZ6btTLrI7V6yk62M2oisT1c7JmtkttVMUyZp6x0beDS
RWOvdKijDimvWd3G9pNRMfRcNfvZOb9Hpb0itJeP47k / 3 hgjaZnbaP1XxWW3T0movbNS0W645nbf
0 nrMPpXs3xamoxdJiLbe / X1n8Uf3fKsOTw4jbaXo + EarJhtGTHMxeJ6xH7Sti9Zaj6x3HM4NxXFx
DS1mtoi8dJrv2l011QAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AGjxLhODieOIye7kr9m8d4eM4to9RwjPXFa0ZIvG9bR0fQXmPbDFvTTZPOJmEWS / V8bs9R43NxLL
G8eFbePg1bajU5 / s0l1ceKLx1hbjwRE9mOpx0y2uRTSZsm3PMw2aaKtIjo6kYo9EXpET0hVLXxYK
xC6MZvyx1lFs0RHfaPiCnU12pLyHGNDbUajBekWma2npWN3p8 + opa20e9LSyZLxExTlpM + vdOdcZ
a9tPS8MyUvFrzWlI6727u1pYxYrbVmb7x + TQx6au3Nqcl7 / 0 rcmW9axGnwZJj1novmxnZXV0fFp4
ZxLBPgTGK8xzXr5fOH0bFlpmxVyY7Rato3iYfNuG2x56Wrqa8s2jz + 7 Lu8O12bS6jkwzN6THNNI6
tvrN68Y4rxlx1vHa0bskAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAA4XtTTm0OKfTJ / aXdcL2pyRGjwU362yb7fkJz9eTxxyZJjyltRXzUZK7TFtl9Lbwy06YzrHwa +
fJFd / wCVt8m0bQ0eS2qzcm + 1 K / an + zNZFL5M1pjFXeI72ky48eGnPkvNp27 + TPU6nHpMfLXaIjpE
erk5dRMxOfN1mPeisfshW1ne1a1577Y6x5R3U0zze31FOWI6ze0byU098kRlzbxM9qrMlPDpyRMR
Md5Vt / Ihp5898mWZm1pjftE91uCt7fCI7dWeHDEW3t723l6rslqxWZnasR + SYhFbzhnfxJ2jyeq9
lcGXWZcmW0zWKxHLaI7794eJx5fpfEKabT8t8l5isddo3l9S4VjrwrRUwzSJt3tav3pdOL6Y6dXD
j8HFWm + / K s U 4 N R X P v t W a z H q u W V A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAa + fXYNP9u8b + kdZBsDkZOO135cWOZn4y5Wu4xqctbe9y19Kp4njt6vi + PDm8DFMWybbzPlV
5 PiGtz67UxbNbeKTtWIjaIXYpnwuaftT5tXJT3vmi1pMsrU5qIrG1V1a + 5 DCa7b9GFbRr5J6Wnbt
Cu + Wmk0m8956z8ZWZNorbfzcbX5rZslazPux3hUt41NTntktObJ13 + zX1bek01r4 / HzVm0bxPXy /
+ bNfDgjVa2uOY92kdfg6ufJOKvLXtttVVSqbcta2vM7zXtHpLQy5ZtMd + vWd + 7 Zy3mdJHXra3f0c
vUarw7zFY5rT2hH1Lavnrgx81p3U49Pk4nE5L35MO / StfNRXR5tXnrS8W67WvfyiPSPi7uLHFK1p
jrtSsbR5Lc4RzsXBaYreP4l45esRD2HD9fnw6evvWvO3Tfr0aGk0U55ra0TFInv6uzgrXFXlx0i0
77 RPlC83Yj + JW7oddqr6vHzTTw9 / f6dod + L1t9m0T8pcbFSmPHER3892W0zPuz + jSbVvidkcqmfP
Sel7bekrI4n4dZnPWIrHeYnZee2Wpy8dEaml4npNZblw5qzb8M9JbYgAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAABEzFYmZnaI7yCXL1XGa0jJXT0571nbee27DiXEprp8nhbxG20W8
5 cbD0ikfnKO + urTPvjoZdXqctdsmTaPSvRpWmsdZ6yztfaGplvv3lWW1tyRlz1x0vkn7Vo5atTNe
Y0 + 1 o79V2KsZsvX7Ne5mwxnyTNvsx2iGneM / rCdRSuOsTasTt5kRFtpjqmOH4t4nk7estiMNa97R
Hwhna0iuKTEdmGWa4672nZtRele1N59Zlq6vLOSsYorEc07qcW65euzRvtXvPZy52naZ7ujr6fXV
rWdukREK8 + njHgmZmPc67bq6ivVWhxxgxZLztNrT1mZ / SP4VZs0zaOvfp84WUtNsXLvtv3699 + rU
z7 + Jtt5qURqMnPpctaR1rMSw4ZoK57eNk6xHaJRh97Ltt7lo5Z + L1HAPZvVauZ2nFTSzMTzeJEz8
to6xPfvsZntPZ9rXxabmxzefdrv0j1dXh / BcmstW1qxTHHasR3 + b0GPhGl + kWmd64dNEVjf73T7X
y8vy + Ddx6O3iRakxTH5RXrMw1 / lX + 3 Itw2MFIraN48qRHdZi0cUjmmPen9noox1iO0fNzdXEYrTt
stcmd9aX0bJ + HePmiKTitO8TMLZ1cVjrMfqpz6ys4pjfrPRWZ9rXXptUit6zO + 23 VyaRHEc05L1 /
w9J9ys / en1ljqdVbwYw452tlnl3jyjzbmmiMeKtYjpEbLeTXPUU8ee / + qjJpsV5rbkrFqzE1tEbT
DpYNbW21Mnu29fKWna0KbqTdjXXjld0cvQ63ltGHNPSfs2n + HUbS9c2s2UASqAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAOVxPWe99HpP8ArmP4b + r1EabT3yT3iOkesvMVtN7za07zad5l
XV5GmM9vVfEstvDx0jtaVVMlq + UJ18b5cMRvPeSuK87bUt + i2Z3PtG7zXpjkzXt6R + TXyTMzvM7t
ydHqZ + zhv1 + Cv / ZuqvPTHMfOYaTMil1a1K2vHSLTELq2v + KWzThGo84rH5rq8JzedqR + ZeI7WnOS
34 pYTafWXR / 2 Pln / AMyrKOCWnvmiPyR6O1y9585lhWJvl557Q6eo4T4dYiMvW3b3UanhldHpJtGX
e09unmjsT7eb1l4trI2t0hsZfrdNO0bzy + nzU20 / + NmkzO9esz + TZxWis9dttvPv + Tn21jjaW8zn
26 bTG3mp1M / Wzv3t0jyWXiKZJmsTERaZhXXDbNl8WaztWenxZLstPp5pau8frDtVrNMM5cfTfpMf
3 aunxxbes9d / R09Dp8ebJi09ptFr3jtt2WyrW9wy1Jx132mK + Xq9PotT0iIU19ntLtExa3T47T + q
6 nBaYvsZstZ + cT / LeMnUi0TXffo1s2m8Ws2 / OIMWk5Jib5L328rS2t94Sh5TV4ppklpW6PT6rh + P
NbebTHyas8E081mZy5P2W6OFhjxNTE / hr / LoRO0Kvo9dPqctKzMxEx1la5t3tdnjnMs4noievcrO
yZjeFF1OSnNV0OG62cn1GWffj7Mz5w05joovzY7xes7TE7w0xrjPeex6Ua + j1UarBFu1o6Wj0lsN
3 JfQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACrU5o0 + nvlt92P3BxuM6nxNRGCs + 7 Tv8
2 hToxm1r3m9utrTvMsonqyt7XTmcja0u3O6FMfi5t / u0 / lzdJM81p9O3zdvHTwsUR5 + bfPqOfX1h
dqV + 3 O7bs1 + T31oqmI3TEM4rvCdkDGIIhlFd2daboS0NXG2bD6bufxXU1vlmu / u4us / N0 + L1tTSx
kr9qk7w89j1FNZMV3jxLzvaJ8mer + LSOZqK2xZotbvljfr / 89 U453rXt9lse081xZtNjx7TGKu0t
DHlrevSevaN5Y6 + tJ8c7VRNMt63n3ub + 6 / R54rERMztDYy4a5omclYmfxKcenrjtHLvtPrCnVmdb
eFe3JXmjy6eS / DrMuLVYsta9Mdt ++ 6 qLxO + 0 dEc8UmInr18iUfReHcXrqccb9Z27Q61Lb13eJ9nc
1 Z35rTvE9avY4bTkpG8xEfB05vYxqybc07R281naGMREdoT5JQqy9mply7Q3bV3iXG1eXw7TWSka
c258t7 + tpT5 / BjT7MfHqndz12Z + M4lMMKyziUJJiN1WSu9fku23RaOgKNJqbaTU1t9yelo + D0cTE
xEx1iXmM1Nt3W4PqvFweDaffx9vjDbGvxz + TP66QDRiAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAOJxzU73rp6z296zsZMkYsdr2naKxvLyObNOfNfJbvad1dXkaeOdpvsc2yuZVzfbfqybutwu
s5s8R92J3dvJb3tnO4HSMegtmt3nfZvYp8SZl0z45NfSK7onH1bNcfRFqnUKJr0Y7dVtq7prjEsK
0 XVpEM6028mW20IHK41aPo3J6zs4ODhdcvPnvExFevNXpMOrxi / PlrTee7PLX6Pwa09uaNlKtHg9
dM3z5d7ReOu02nu0JzZMfblrv5R5uvrcdImZ26T1mYhxs1Os7RH93PZ7axuafNfLitvbaYU3yZYt
PXs9NwHhui1HBa5LVicsb81onrEuVqNNSuS8Y67dZ6xPZa59Il9uX41vEitImZme3q2Kxbxora0T
Md / ROSa4Ztkj7c9OafL5LuGYubmyX3iu / TfbdSfVnpvZLT / XZK233 + Mbbva1xRXyiPk8pwbH4N6T
adq5a71n0tD1WDL4tPe6Xr0tDpz8YVnJHWEXYxbqlBedoef4tW0XraO09HdyztSZcbUz43C + ee9b
SVMaeOfqq7 + jGckQ1Yz7 + 7 v2RN / WXPXZPjci2 + 2 yyJaVMuy + uSJlA2d + pNoVRbeDcSxyTE + TDDlt
pdRXLTynrHrDOyiyZeVFnY9TjvXJjres71tG8MnJ4Nqt4tp7T1jrV1nRL1x2cvABKAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAHJ49qfD09cNZ97JPX5PPw2uI6j6Vrsl / ux7tfk1mWr7dOM8iLdm
vfebREefRsWldw7SxqNbWbR7lPesrn3Vteo7dYjDpMGCvfbeXQ0uLlxRLRxROfUc34p6fCHYrXlr
EejqrjY8uzCYW7MZjdVKqK9VlaxCYrsnYExBMRMJRPZA8 / xPHtmpP9W2xx76vhWOInvt / C7ike7N
vwzE9kcapGfhlevTaFbFo8RqJ5vy8 / RoW09ek0msxHfp3dzNoLzp4zUmZpMbT8HJyYJi20X2n0lh
ZY1li / RaidBF4w2mK3jrHaFGp1lN + tptPp5IjBkid5mIp16TKu0abBPv33vPlM7z + iPdFNcWXU5I
tkrNce / b1W5db1nTaf3ax9q0fxDW1ebNk2phty1mOu09VOm8W19orEz23j1TwfSeERFuEYMddptW
d43dvBn21eKJ75KbW + cf / JcTgMxXTb3nbljz + TpcPmc2uyZO1KRtVtGVdi0bx07qJnllsRO6rNTe
N4XVamsy8mnvPwc3R2jPwe8TPbdlxXNOPSZfhWWpwO85OFzv57qrODkzeHntSe8Sn6Rv0a3EZ218
8 nXekfr1a0ZLVnqx19dWb6demXybOO7lYMvNMdW9S / VVLo0us7tPHdtUtEwJiZU3jq2Jhham8CVG
PNODNTJXvWd3qcWSubFXJWd4tG8PK3pPd1OB6veLaa89Y61 / u2xfxh5c / rsgNHOAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAANLimq + i6O0xPv392rdeZ4rq / pOqnlnelOkIt5F8Z7Wj27I2I6sb25YY
V1ImY3dbQ08LRc23vZp2j5OJG + XJWle9p2h6HHtbJXFT7OOIpX + 7 TxT31j5rycdTh + Dpz + XaG / sw
w18PHWseULN2trBE9UcrJKBhFU7JAQi0dEomegNDUYovM7x3jb5tO1ZvpbaTLtzRExWfWPJ08kbT
Ex5NXWYYyV5omYtHWJieyeDzuizfRs19Jn6TM7Ru1uMcJxZqTkw + 5 f4ebqa7SV1MR4tdrx2vEfy1
axqsNOTLjnLXytVXi3Xj8 + nmsxTLM16d5npPyUzpekTtSK + U7vS6vQ / SYmK1vWPS1HOn2dvvvvE /
tDO5XlcO + LbfHSd / W3o6 / BdDOXPTnj3Kz38rS6Wm4FNrRyRzTH3p6RH / AKvR8L4dXSzE3jmtHn5I
mbfqLV + m4dbLSsZInHjr3iI6zLpYaxS01rHuxHRHiT9mv6s67Vj1aqL6326MrWiYa + / Q 5 4 B x P a G e
XRZpj8MquB4 + Xg8zPnB7SX30to379GxpK1xcHiKz5IS8xr8PLPixH2bftLTy05o6dHYyVjLhy0t1
izjZa3pMVv3iO / qz1G2L + NbSajbNyW7xLsY8kTDz + fJXFqKZN4iZnafi6WHL0iYlStI7OO + 7 axW2
crFl7dW9jvE9ULN + J3ZbdFGOy + AYWpEqN7afNXLj + 1 Wd23KrJVMvCzseh0 + auow1yU7WhY4fCdV4
OadPefcvPuz6S7jol649Tl4AJVAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAV581NPhtkvO0R + 4 NPi2
r8DB4dJ9 + / 7 Q 8 3 P o 2 N T q L a n N b L f v P a P S F D H V 6 6 s Z 5 E T 0 h R k n y W 2 l T t M y o u z 0 c 8 u s x 2 n 7 s 7 v S c K w x
zc1vu / y85p + maJh6Th + SOWeveXR4 / wDLm8v + nX5mUWa9bbrInolmu5jdTNkxYFk2Isr3TuCzeGMz
+ THdEyDDJO9Ja823rt2XWnya946pGvktDXta0ztWu / ybvLE9dkcoOf4GbJPWK1j49VmLh9JtE33v
Mevb9G7WsW8l1ccREISophiJ2jpDYpijbaOjOuOJ8ujOdqxsgVcsUjaETYvbaFFrgu5lVsm0yUtu
ryg43H5m + GIj1XcJzePoL4pnrWGtxmfchr8JvfHS1622if3QljzTTLes + qrNjrkiYtCzPMxnm095
YZJ6boS5teB49Tqscza97VtvWvlv8V / FOF34RrIxTM2xXjelp / eHoeA6XnzReY3ivX / 0 dfivDcfE
9 HbDbaLx1pb0lOs + jO7K8Lis3cN + 0 NKcd9PmthzV5clJ2mF9J9GHHVL108dm1SznYr / Ft0tuhLb8
mNohFbMhLWy0mJ3rPXvDvcO1karBG8 / WV6Wj + 7 kWrvDDBlvpdRGSnbzj1hpjX4z8mOx6UYYstc2O
uSk71tG7Ns5AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACZ2jeXneJ62dVl5KT9VTt8Z9W9xbWclPo + O
fft9qfSHEU1pv48ftYST23ZTDC / p0YtlVuvVjMbM5 + LCZjYGWGdrTPxiHY4ffaf3cjTxz1v6xMS6
Olty2iXVj / Dk8n + ndrkhnGRo1v8AFdW3RCrZ5uiYsqrboncSu508yjmZRYQt50TfowYTbYGVrKrT
uTZjvukQnYhMIGVY2ZxPVWyrHVCWzXpVXkt3TE7Va + W4K7X3jv1auTNy3jdba0RZpamfroQN7Hk3
6 wr1GTaN2OOJiu6Mu98NvgDi8Wy74d / yZ8PiPAiO2zU4nb6qIn1bugjfFE / ASp1ke9u15mbbRDZ1
Mb823kx0Ontn1OOkedoJCvT8I03gaKsz9q / WW + isRWsVjtHRKyrhe0XCfpWL6Vgr9fjjrEfeh5fF
feH0V5Dj3DPoOo + k4a / U5J6xH3ZZ7z3228evytOk7NvFbo0cdols47bSybt7HbddHVqUs2aW3Qnq
xVeu8LILR3SlZw3V / R8nhXn6u0 / pLuPMXjeHT4Zruf6jLPvR9mZ8 / g1xrvpz + TH7HUAaMAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAABRq9VXSYJyW79qx6yvmdo3l5viGs + maqYrO + OnSvx + KLeLZz2te1rZL2v
ed7WneZYWnZl5K72YV1xEyxmeqJljzIEWlVkszvbZp5soN3h2SJz3pP3odCnuWmPRxuERfJrZmtZ
mtY96fR28kbX3dXj / wAuTyf6bmK + 9 YX1s0cNtm3Sd4LFY2K23W1s16StiUJW7bp22RW3RluBuruz
mWEgrmCGWyNkoExKE1QlPmsqRDKeyBjaejWy2W3ttDUyz1QKslvehVqKTNosyyTvELabXptIJpaP
B39Ia2mz + JGpr51jdZefDx2hzuHZObNq58poJaGtjxJ2 + LoaKP8ADRPo5 + T3skx5OhpOmC0fBNQ0
5 yTbn + bt8A0u9raiY6RHLVwY62mI6zMvaaHBGn0mPHt1iN5 + aYVsACBXqMFNTgviyxvW0bSsAeE1
mkvw7V2w5Ote9besJx2er4rw2nEdNNekZa9aW9JeQjnxZLYskTW9Z2mJY7zz26fHrrdpbZsY7NGt
mxjvso1b9NmUwpx33XRO4K7VUTE1nmrvEx1bVo2VWiJE / XY4frY1WPlt0y17x6 / FuPM0m + HJGTHO
1 qu9pNVXVYt46Xj7VfRtnXXL5MfzexsALsgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHM4jxOMFJphmJv529Dq
ZLfjDjPEIx450 + K3v2 + 1 MeUOHSOWFc3nJkmZnf4yujpVlqunOeFpV2nctLCZUXRM7MJtsWlRkv3Q
ky5NmpWt9RnrixVm17TtEQnJabXisRMzPSIew9n + CRoccajURvqLx5 / chfOest642OGcIpoOG2w7
ROW9d72 + LQvXevyejcPUU5M + SvpLeOataraw2a0dLbLqTtK1G3Es4lVWWUSoldFtmcXUbpidgXzK
GEW3TuCUSncnsDFMMLSms9EC6J6FpVzbZE5ALy0809ZbFr9GtfrEoFMzuuwz0Ueey3HbaBLDXe7i
tMOfwWnP9I + NZbuttvhs1uBRtXPb4SDm3iIvf57N7Dbl0VrS5 + XrltEd + Z1Jx7cNms9N4TURRw3T
+ PrcO3WszEvZOD7P6aYiMlvu16S7y1QAIAABxOPcLnUY / pWCv1tI96I + 9 DtgmXl68Biy7 / NtUu3 +
O8HnFa2s0tfd75KR5fFyMWTdhrPHVnX9R0cd21S3Rzsdm1iuqs256wrmGcT0RYSx5d047X02SMmO
esd49YRE9WcdSXhZ2O1p89NRji9J + cei1xMc3wXi + KZj1j1dTTaqmor06WjvWW + ddcu8XK8BZmAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAMMmWmKu952UZ9XFZmuP3revlDTtzWnmvO8q3XGmfHb9ZanV3yxtWeWn7y4es
vPNtDqZJ6Ts5mppvdl / XXRMyfGvSNlu / RVvtOzLfoipLT1VTKbSpvfogRkvtDVyZOhkyvQcA4Dzz
XV6yvTvTHMfvK + c9U3rkW + zvA / D21urr789cdZ8vi9KDb45rejl8Rry6iJ / FV1HP4vXbBTJEfYt1
+ UpiHM295bXsqrO9l8QkZ0lZEqqLeyBZHZLGvZkhIndADKJ3TMoqWQMZ6pjsxll2jsCLSrmU2lFY
36 gieyu0LJk3jbsga0wdqzK20QpyztQGprL / AFMrOE05NLkt6qdVWZxNrSe5o9vWBLiUjnzXn0vL
q555dHt8HOwV928 / 1 z / LpzXxbYccRvzTB + jucOwxh0dI22mY3ltIrHLWIjyjZKyoAAAAACJiJjaY
3 iXleM8InR5J1GniZw2n3oj7s / 8 Ao9Wi9a3rNbRE1mNpifNFnVs65XhcWTdt47bnFuF24dm8TFEz
p7T0 / pn0a + HJux1OOrOux08d1ndqY7tillVkzExLOk7yd4YxGwluViJhE45raL0na0dtlWO0 + bZr
1 TKi + 2 zptZGTamT3b / tLacvJjiY3XaTWdYxZZ6 / dtPm1zrv1z78fPcbwC7EAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABhkyV
xUm152iAZWtFazNp2iGhm1Vss8uP3aevnKrNntqLdelI7VRHRnrX / HRjx / tZREVjZXeybW6KbWZt
pCZ6S08tN7Nmbb7zCrJtyoS5145bSx5mWafelr3tsKmS / o08uXyhlly7RPV2 + AcBnPNdZrK + 53 pS
fP4ytnPVda4y4BwHxOXV6uvu96Unz + MvVxG0bQRG0bR2G0nHLb2gCUDX12LxtFmpHeazt82wT1gH
mMN4tWs + rcr2aEV8DU5sM / cvO3yb + O0csLUTSdrLphRE8tlkZI7Atr2ZMazDJVKTYSCawi7Ksq7z
1 QERvLK3ZGPrKbyCrbdnMcsbeaa18 / RhvvM7oGEwTG0JmYYTIML22a2e28xELM19oURPNO4lOem +
n3ZY5 + prVnMc2GYU4 / L4A0a15cNf6rz / AC6fC6 + NxCPOuOu / 5 tHJTbHj + F5 / l1 + BYumXJMd9o3 / d
MRXYASgAAAAAAABhlxUz4rY8lYtS0bTEvH8R4ffhmo6bzhtPu29Pg9mq1Gnx6rDbFmrzVsizq2df
zXkMWTeIbNL7tbXaHLwzUctvexWn3bmPL8WFnHVL326VZ91MfFVjvvVlz79kLrcf2m7j7bNHH3bl
J2SirLQoy4t1 ++ 7 G0dBC / RanxI8PJPv18 / WG241 + alovSdrV6w6mDNGfFF4 / OPSW2b1zeTPL1aAs
zAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAVZ9RXBTe3WZ7R6iZOpzZq4ac1p + UermZMl89 + a / byj0Ra9815ted59PQ32hlrXXRjH
DpCLX6ML5NlNsm / ZRqstfdXzbsZt06sLZNvNB1Za8RDWyZdo7q8udq5Mu / mIMt4md2lmy7JzZuWJ
dHgfBL8RvGo1MTXTxPSPx / 8 AstJ1XWpIs4BwSdbeNVqq / URPu0n73 / s9hEREbRG0QUpWlYrWIisR
tER5JbSccur2gCUAAAAPM8Sry8Uyz67fwuxbzVPGsE49XGbvF42V4M0TEL33ERnktsxpk3sumK2j
admFdPFZ33VS2Mdui2J3UU6LYlFSsN2O5NkCyJ6K7T1TEsbAsxdpReerKkTFGMxvYEz0rsqtbbpC
b2VT1QEzuwtbaGUxspuJU3neWdKoiu8rq12gCI92YatLcublnzbEz1aOptyZqTuDHLfxN6R0 + t5X
qdJhjBp6UiPLeXl9NSMnEKxHa1 + bb8nrlvxUAAAAAAAAAAABTqtNj1eC2LLXeto / R43VabJw / VTh
ydY + 7 b1h7ho8V4dXiGlmvbJXrS3xRZ1fGv5rzeHN02bEW3cys3xZJx5ImtqztMS3MeTeGFjqlb2O
8 btql3NpbZtYsnSBLeiWfdTjtutid + ghherHS5p0 + f3vsX6T8Fkw181d4lMvEWdnHaGnw / UeNh5L
T7 + PpPxbjdyWcvAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAo1Oprgr63ntAmTqdRqK4K9etp7Q5d7Wy2m953lNrWyWm953mVd77R0
Za1104xxlN9lV8qnJl2a9s3xUXX2ybsJyRDWtl3YWydEC + 2 VRkzeW6q + T4tbJm + KRdfK1cmWZnlr
vNp7RC / R6HU8SycmCk7ed57Q9ZwvgOn4fEXtHi5 / O9o7fJaZ6z1uRyOEezVstq6jiEbV71xevzer
rWtKxWsRFY6REeSRrJxz22gCUAAAAAANbX6aNVpL0npMRvWfSXlKamsRMVvXm + EvZXjmpaPWHzfL
oNRjzXicfWJ8phfPxFejx72x7xMzK + sXiNoiXlq + Pi6fWV / VfTNqfLJl / WTg9Pji8R70LqvMV1Gq
j / zcv6yz + lanzzZP1lWpelTET6S81Gp1P / Gyf90s412rjtnyfqql6asREdWM9 + jz9eJ6yP8Az7uh
odZqMt458tpB1JvEViI3 / RhzRt13 / R1MNaziiZiJn5K9ZNceKZiIiQcu / WekT + iYrWI3lzdTrs + 8
8 uW0fJzcur1Np / zsn6g79phVaIeetqNR / wAXJ / 3 SwnUaj / i5P + 6 UD0ldonum161h5mNRqP8Ai5P1
lNtRqJjacuT9Qd22WN5aGeZyZd / KHJy59RHbLf8AVq31Gp / 4 uT9ZEvS8Lr / vSs2npzRtL1z53wK +
oza / HW2XJNd99pmX0Rb8VAAAAAAAAAAAAAAcHj / C5yV + l4I9 + v24jzj1cLFk8nu5jeNpeW41wmdL
knU6ev1Vp96sfdn / ANFdTrXG + eq1q5F2LLtbZoY8m8d11bbSydErsYsm + zZrO / zcnBm226uhiyRK
EtrvCrJDOJTeu8A1MWX6Lqq5N / dnpb5O5ExMbx2cPNTeJb / DM / iYPDtPvY + nzhri / jDy5 / W6AuwA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAa2p1UYo5adbz + xbxMlvqJ1OqjDHLXree0ejmzNrWm953tPmTPWbWneZ7yoy5YhjrXXTjH8s75N
mtkyxt0VZM2 / m175N1V03yTKubMLXVXybeYLLX2VXy7eam + b0bOg4VquJW + rry4 / O9uyZOq3UjVm
9 r25axMzPaIdvhns1kzbZddM0p5Y47z8 / R2 + HcF03Doi1a8 + Xzvbv + TotJnjDXkt + K8ODHp8cY8N
IpSO0RCwF2YAAAAAAAAACvUZYw6fJkntWN3k8dfHz2vLucdz8mkjFE9bz1 + UOZosX1UzPm0nqI / W
MYo9FlcPNklfFGeH / NshLGun + Cz6PtHZtVZWlRLS + jxPkRpIn7rdoupHTdA5s6SI + 7 H6Mfo + 32 Y2
+ To3neSIiZ7A0IjPXpXLePlMotGW3272t85datKzHZjbTVnsDj + FG / 2 Y / RlGP4R + jo20u7H6N1Ql
o + H8I / REY957R + jpfReiK6eOYHLtj2tttH6KrY / 6 Y / R2c + kjeJiFVtLG24hxpw7 / AHY / RRkw9O37
O99Hrt1YX0tfOBLjcGp4XF8c + u8fs9c4dcVcGemSI61nd3IneN1orQAAAAAAAAAAAAABFqxes1tE
TE9JiUgPKcX4RbRXnNgiZwWnrH4XPi28PdXpW9JraImsxtMS8pxXhF9DecuGJtgmf + 1 TWW2N / la1
L7N7T5e3Vy6W3hsYcvLbqzbO9jvvCzvDR0 + XeO7crO6FmGSvRThy / RtVXJ92elvk2rRvDUzU7pl4
izsd2J3jeBpcNz + Lg5LT7 + Pp + Xk3W7js5eAAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADs0NTrN96Yp6edkW8Wzm6 + LNTq4pvTHO9vOfRoWtt
1 mes95YWvs1s2fZldddOczLPLn2ju0MmebT3YZc2 / mpm3qqllN1drsbZIhr3yzvtHf4AsvlYYseb
V5Yx4KTe0 + UQ6nDvZ3UazbJqd8OKeu33peq0eh0 + hxcmnxxWPOfOfm0mP + steT / ji8N9mKY9suum
L37 + HHaPm9DSlaVitKxWsdohI0Y22gAgAAAAAAAAAABXnyRhw3yT92Nwef4xm8bVzET0rPJH5d12
CvLhho3rN9RWs9Z23n5y6O21YhrVYbdGOCfrrLPJRpv863zVS6FS09SvZj3lVZZRdPSqmnSWdrIE
ebOkK4ldTsgW1WKqd1oMZhEVZyRAImOjGI6rJ7IiATNd46qL02bHkiaxaoNGY2n4ImPgtyV2n0Vo
Gvlx7x2beiyTk08RPevSVUxux00 + Fn2n7N + n5rRFb4AAAAAAAAAAAAAAACLVres1tETWekxKQHlu
L8InR2nPp43wz3j8P / s5dLveWrFqzW0bxPeJeV4xwmdFec + CJnDM9Y / CrY1xv8qvTZ + WYdbDk5oh
5 zHk283U0eo3jaZZ2N5XYjrCnLSJhOK + 8 d1kxvCqzSwZvousrb7k9LfJ3nB1OLeJdLhufx9LEWn3
6e7 LXN9Ofy5 / W4AuxAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAETaKxMzO0Qi9646Ta07RDmZ9VbPbaOlI7Qi3i + c3TPUaqcu9adKfy0722ZXvFa9
XO1OrjrESxt66ZJmcjPUanlidmhkzTZVfLN5VWvsC2b7R3U3yqrZZtO1esz2h2 + F + zWTUcuXXTNM
feKR3n5 + iZLVbqRzNJo9TxHLyaekz62ntD1fDOA6fQbZL7Zc / wCKY6R8odLBgxabFGPDSKUjyiFj
SZkYa3aALKAAAAAAAAAAAAAADQ4pl2pTFH3p3n5Q33E12Tn1eSfKscsLZ + orS00eJqbW + Lfnu1tF
XaJnZsz3WpCfsyp00fWSvmPdVYOmSUDd8kR3InoQosy7JmUX7MdwZ17ro7KKT1XRPRAsrO0rYndr
79 V1ZBaQiJ6JgCSIJASwrO07MpV2nqBlrv1a1o2bf2qtfLXaQUTO0sb05o3jv3ZXhjS20xEphW5h
yeJjjf7UdJWNKLziyRePsz0lux1SgAQAAAAAAAAAAAAAADG9K5KTS8Rato2mJZAPIcU4ZbQZuekT
OC3afT4NXFkmlntc2GmoxWx5K71tG0vHa / RX0GpmlutJ61t6wrY2xr8dXS5uesN + tt4ef0eaa223
2 dnHk3juyreM81OaFGiy / RtZET9jJ7s / 2 bdutd2jqKeic3iNTsd8a2h1H0jTVtP2o6W + bZbOO + gA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABje9cdJt
adohGTLXFTmvO0fy52bJfU23t0pHaqLeL5xdK9Rnvqb + cUjtCi94xxvK3JetKuHrdZvaa1ljb10y
cnIs1Wt3naJc ++ TmVWvMz1YWybfMGdsm3eWek0mo4jm8PT0mfW3lDf4V7P5tdMZdRviwfvZ6 / TaX
DpMMYsFIpWPTzXmf + steT8jn8L4Dp + HxF77Zc / 4 pjpHydYGjC3oAAAAAAAAAAAAAAAAADG9opS1p
7 RG7zszN6WtPe0zLua + 3 Joss / wBOzhzG2OsL5 + IrY09dsSyYRijbHEMvOChb7KjF0yS2LQ169Mso
S24noyrPVXWejNVKbTuw3T3REdQWU6LYlVvsyiUDPfqupPRr79VuOQX1lZEqoZxIMksd0gT2VT0l
bPZVbuCaW8i8bwr32WxbcGnkjaZa9p2ndv5qbw5 + aNugLItF6TEtvTX5sMb969HMpfazc0d9stqe
vVZDdAQAAAAAAAAAAAAAAAADV1 + iprtPOO / 2 u9bektoB4TJTJpNRbHkja1Z6uto8viVht + 0 HDvpG
H6Tjj6zHHvbecONw7Ltfkmeqmo6Ma69DXbbZTkr1mGWO3RneOaGbZRoM30fVzSelMnT83aef1FZ7
x3h1tBqfpGnjmn369LNc3sc3kzy9bQCzIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAa + q1dNNXr7157VhGp1Xh70x + 9 f9ocy283m1p5rz3mVbrjXHjt91lz
5 c9 + fJ1nyjyhdM8lZlOOIiqrUXikd + kMreunnI5XEdX4dZiZcG + XmtNl / F83PeeWWHDOGanieSKY
q + 5 H2rz2hMzWd1Iqx1yajJXHhrNrW6REeb1nCPZumn2z62Ivl7xTyr / 6 uhwzhGn4Zj2xxzZJ + 1 kn
vLoNJnjHW7TbbsAszAAAAAAAAAAAAAAAAAAAAaPFrbaSK / itEOXt0rDf4xb / ACa / GZacRvaF58Q2
IjasQnzPIhCU92tMbZGzHmotG10C6nZkwpPRmipIllEbMIZIE7solgmJBnCyk9VMM6z1BtVllEqK
z0WRILYlluriWcSDJVbusV27gwInaSWM9ECyZ3hqamnSWxFmOSOaqRx725bNnSZNs9J + OynVY + WZ
YYr7TE + nVaIr0Ais81Yn1hKAAAAAAAAAAAAAAAAAABExvG09peU4nov9n66L0j6q / WPg9Y1OJaON
ZpL0 + 9 HWs / EWzeVz9PbmrEtnyc3h9reHy26TWdnSr2YX6657ijLXpLX0 + onSamL / AHJ6W + Tbv2aW
ekTv16JzeI1Ox6KJiYiY7Slz + E6jxdN4dp3vj6fl5Og2clnKACAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACZ2jeQRMxEbzO0Q08uqtkma4ulfO3r8lefUePMxWf
cjy9WvlzVxV6T1Z61 / x0Y8f7Wc7Ur1lqVy + LqOWJ2hp6rXddon5rOF1tfmz5OkT0qzb8dWbxjp1c
biuuilJ5Z6r + IcQrixzEy8zl1E6rNt1tMztFY81sztU1eRucN4ffi2p5esRM72n0h7rS6XFo8FcO
CkVpX082nwXh3 + z9FWLxHi36328vg6TZyW9ABAAAAAAAAAAAAAAAAAAAAAADj8Unm1tK / hqppHvw
y1k8 / EMk + m0GOPeafiFpCZYwolnXspvHvLa9mF46gmnZmwozRUiUCBKYYsoBLOFbKAX0llEqqyzi
QXRLOJVRLOOwLIljZMEgrlhKyYYTAK5nZPN0RZjugUanHzVlz6xtLq361c + 9 eXItPpXX0dubTU + E
bL2lw2 ++ O1fSW6m / VYAISAAAAAAAAAAAAAAAAAp1GbwcfTreelYEydcuMcRrM / L9nnlsV6wqpi2r
tv133mfWVkRyRtEdGFva7MzkYZNoamWN4bV4mYa9qztKIujhVppxGI8r1mJegeZpknBqKZY + 7 L0t
LRekWrO8TG8Ns / HJ5ZypAWZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAADS12fp4VJ6z9qVuq1HgUiI + 3 bpDl589cOKZmevqprXPTbx477rDJlrhr1nq4 + s182tMRP
RqaziXiZJrWekNG17ZbxWJ336M5LXRbI3dLTJrs07RMY6fan1dHLrowY + X7MVjt6N3R6Kul0EbWm
s7bz8Z + LnabQX43r7Y53php / mXj + Dnv0f1JO1x / 8 ZxbUzj02O15mfLtD13AvZqnDds + pmMmo26el
XX0Wh0 / D8EYtNjilY7 + s / NstpOOTW7QBKgAAAAAAAAAAAAAAAAAAAAAADG88tLW9I3BwJtz6nNf1
vK / DHVqYJ3pzT5y3MPZeojOWMQylEKpTVjZnDCwkqzYQyRRICATCITAJZQxhMAshnEq4ZQC2srKq
qrIBZCWNZZgwswmFloVyCu0dFcx1WyrtCBhv5NTPHXds2U5o3hIz4ffbPt + KHUcTSW5c9Jme0u2v
VYAKpAAAAAAAAAAAAAAAAYZctcVOa35R6tLrltN795 / YvknNqrfhpPLH92V5isd9mWq6fHjk6rn0
ZxG8KK5Jm / wbVZiYZtqrmkqL023bkxvCiY3lJHNyRG81mHS4Rn5sNsNp64 + 3 yaWaNrzOzHBl + i6q
mT7s9J + S + ay8mex6EIneN47SNXKAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAImYiJme0JafEs3h6fkidrZOn5eaLeJk7eOdm1Hi2vmtPTry / CHmOJcUvmvOPF1n09Pm
6 HF9ZGm01qxO3R5vSY7XwzmzTy47zzTEd7en5Mfvt2 / PURWdo3tvPrPlKymbktFqTtMTvHzbOLDG
f63JXbFX7FdnoODcDprZpq9TjiMMTvSn4vj8l5fxnrk91saPSa7i2hpOfbTVt5x1m0fLydzR6PDo
dPGHBXasd585n1lsRERG0dIF5OOe6tAEqgAAAAAAAAAAAAAAAAAAAAAAADX11 + TRZrf0y2Gjxe22
gtH4piP3TPpXKwxtjhuYo9xq442iIblI2pC1RET2ILd9kxCqRjZmwlCSEohIJAQAAJZISDKGUd2M
MoBnVbVVCyAWVWeSuqyOwIlXZZKue4MJV2WWYT2QKbKL9YlfdRdIo35b7 / Hd3KTzUrPrDh27uxpb
c2mpPwX / ABX9XAKpAAAAAAAAAAAAAACekTIp1eTwtJmv + GkyJn1oafeazbfpMzLR4jq / o8b823zX
6 XNF8ERCvTcNpxLV5LauvPhx9Irv3lhztdtv8TtaWLicXrt03jzjzb2k1nid56ty3s / w + a7Uwzjn
1 raejlarhmbhl / FpbxMO / fzj5p / ixSeXOvTtRfeI280ZI26tfDm3pWe63LaZx7qtGvniJ6tPLvOK
fOa9WzbJvTbza02jl3n5SSljscK1MajSxWZ96nSW88xw / VfQ9XMT9nfa3yemid43jtLeXsce88qQ
EqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADia3UTm1l4j7OP3Y / u
7 Vp2rM + kPJW1PhYcmS0 + 9 MzKm / jbwz31weMzbV8UppazPL9q0 / BF4rk1GLDSNqxPWPhCnHmnNrtT
qPKteWPm6U6OdHaZvO + SaRNvhv12Ub / q3FhtrNVj0uKOt56z6R5y9zix1w4qY6RtWsREOJ7L6OKa
S2rvX6zNM7T6Vh3mmZyOfya7eACzIAAAAAAAAAAAAAAAAAAAAAAAAAAczjVvqMVfW / 8 AZ03I41bf
Lp6 / OVs / UVrY47NyOzUxd4bUJpEbb3Z7IiOrKIVSjZhMLJYyhKIgmGUQSDESIEbJEgQmCITEAmGU
IiGUAyhZVhDOoM4Wx2VQtqBKuyyWEgqlhKyyuyBVaGtkbNmvk7A15l1eH2300R6TMORPSXT4ZO + O
8 fFefEX63gEAAAAAAAAAAAAAAAq1WPxdLlp + Kkx + y1Fvsz8gjhaDauGK8sx07y3OE3m1tT6RaP4c
vU6yMNKUx73zT0ilY3l2eF6a + m0kRl / zbzz3 + Ez5M8z26fJruW6wzYq5sV8d43raNpZjRzPPaTmx
5 b6bJ9rHO3zb2WJ8GWPEscY9bgzxH2t62n19GWW0eHOzHU5XbjXZ1x8WTnz2iZ7S2M1IjH2 + LX0V
KTqs8zO9ot0j8nUthi1J3UaOFMTfLFo6xMbS9BwHWTqdHOO8 + / h n l n 5 e T j Y M F o 1 W T H 5 V n e P z X c I m
2 k4zlpPSmXy / hfF5eMfJns69OA2cgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAADG / 2 LfJ874rW845mubliY7bPoto5qzHrDz0 + yePNF41OotaJ7RWNtpV1OtfHqZ715fhu
j8adNpcVfeyzE2 / vLuanhOu1nEctIxTTFa / + ZPbZ3eHcF0vDbTfFE2yzG03t32 + DokynXl9 + leDB
TTYKYccbUpWIhYCzEAAAAAAAAAAAAAAAAAAAAAAAAAAAAcXjE / 4 zDH9M / wAu04XF5 / 3 jj / 0 f3Wz9
RUYmzDWxS2I7FSyjuzY1ZKpRKEygEwiWUIkGIk2QJNhKQhMIhkCYZQxhlAMoZwwZwgWQshVCyATL
CWc9ldpBhZXLOVdpQK7NfJPRdaWvknoDVvPvOnwuel4 + TlXn3nS4VPvXj4QtEV0wAAAAAAAAAAAA
AAAAAVV02CmTxK4qRf8AFFeq0AAAanEsfPpZmO9Ji0NDLfkwdOsulrumiyzHlVzJrz4Ovoy26vB8
cTBa9NffLtMY77Rv8Yegx5ImkKdJoY1HC81Y + 3 OSbVn0mGGkmbY45u6tnrrTOu2xGO0RxCd + nNVj
qKxTV1vH2pjaGtnyzXXYdo96ZmGXEMk15b7 / AGZiVerWPTYckZcNbx5wzc7hGbnxXxzPWk7x8pdF
0 S9jh1OXgAlUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAcPjEf4 / FP9H93ccXjMf4vDP9Mx + 62 fqKrx + S + GvibEFSsqyYwlVK
ZYsmIMoRKYJQIPIEiQ2ATCUQygCGUIhMAyhnDCGUIFkLIV1ZxIMpVWWSrsCuyqyyyq09ECq8tfJK
66 jJ2Bp5J6upwn7dv9Lk5J951uE / av8AJaIrqAAAAAAAAAAAAAAAAAAAAAAq1Mc2myxPnWf4cmtu
XT9fR0tffk0WSe28bfq5Wbamm3326MtunwfK6PCv / AxPraZ / dz9PO97 / AOqf5dHhdZrw7Dv3mOb9
XOxRFM + avpe38mvkPHf / AFWlrKba7Tzt99ZxKkfR7euyNXMTrtPHfa0z + zPiM / UR8Zj + Wbdu8HpN
M2bfzrV13M4dO2pyR61dNvj44 / J / oAWZgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADj8bj63BPzdhyeNx0wz8ZWz9RWri7Nmv
VrYu0NmqaRZHZlDGGSiwxZSgCEkCBCQSCQBMJRCYgEsoYx3Z17AlMIhlCBnDOGEM4AlhZZKq4KrK
7 LLKrIFN2vdfZReAaObu6 / CO9vk5OePR1uEd7fJeIrqAIAAAAAAAAAAAAAAAAAAAAGtxCk5NFliI
3 mI32 + XVyNTyZOHTee946PQKPoeDffw4777eW / yVs60xv + ZxOnr4Okx1t05KRv8Ao41Z5q3yed5m
XY1szXRZ5jvFJ / hxItP0aOSN9q7yrtr4f2tHFM5 + KT16Yq / vK / iGSbXw4vO14UcPx5MGfNbPG18m
1 oj4THRsTw7VanPXVYpi3gzMcnrvCnG11JOupwuN8 + a3pEQ6jT4divjxWnJExa09pbjbM5HHu90A
JUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAHM41H1GOf6nTc / jEf4Ws + lls / UX45uGekNujTwdm5RNIthKIZKLDFlsiQIShIC
EgCUJ7AmGTGO7IDzZQhMSDJMMYZQgZwzhhDOATuqssmVdgVWVWWyqtCBTeVF19lF + wNLNG7q8I + 9
8 nLyupwnt + S8RXUAQAAAAAAAAAAAAAAAAAAAAAAItWL1mto3iY2lyrcLyUxzix2ia2nvPeK + jrCL
OrTVnxpanhuPPemSs8l6RtE7dJj0ldpNP9GwRSZ3neZmV4cR / Vs4AJQAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAANHi1d9H
M + kt5ra + vPoskfDdOfqK4mn7Q3aNHBPZu0W0RdDOGFWcKLCJZeTGQQlCQSgASBsCYZQxhlAJTAmA
TsmAgGcM4YQyjsgRLC3VnaVcgwsrt3Z2V2QK7tbJ1bN5a9waeWO7p8Knt8nNyebpcK8vkvlFdQBA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAK9RXmwZI + ErEWjesx6wQeZwejeo0cccuW8
elpblJaaRGxVnCuss4ZrMvJEgCAASISCQIBlCYYpieoM0wx8k7gzIRueYM4Z79FcSy3QEsLJmWFp
BjaVVpZWlXMoGNmvkXXlr3kGtknu6XCf7OXkl1OEdl8orqgIAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAHmskcmtzV / rls0U62OXiWX4zErcc9GmkRfWVkSqqziWayxCPIANwBIhIJSxS
CRG6dwZwlhEs4BluMdzfqgZxLLdXuy3AmVdpZTKuZBjaVVpWWV2QlhZRdfZRcGpl7urwfrzfJy8r
rcH61vPyWitdMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHA4nHLxKZ9awnH2ZcY
jbW459aq8fZpfiI2IZwrqzhmsz3Ebm4JN0AMhCQSIASndiAziWUSriWcAyRujc80DM3RCfIETLCW
UsZEsJYSslXZAwlTddPZTkBp5e7r8Gj6rJPxhx8k9Xa4PG2C8 / FaK10QAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAcfjcbZMFvnDWx9m5x2PqcNvS + zSxT7sNPxH62YZQwqzhRZO6UCB
KUAJTux3SDIRuAncQAmJZRLBMSgZ7iIAZRKd2DICUSlAljLCYWMLIFVukNfI2bNbIDTyT7zu8Ijb
Sz / qcG / 2 nf4T / wCE / wD2WnxWt4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHL9oL
+ Hw2cm28VvEuPptfgyVj6yIn0no7 / FtJfW8NzYMe3PaPd39d3iMug1WktNc2C9dvPbeP1aZ9xF + v
T471tHu2iflK2HkqWmvaZj5Surqc9Ps5bx + alTHqYHm68S1Vf / NmfnC2vGNTXvyT84Ql6A3cSvHM
sfaxVn5Ssrxyv3sM / lKB1xza8bwT3pePyWV4tpZ + / M f O E j f G r X i G l t 2 z V / P o t r q c N / s 5 a T / + w L R j
FontMSlAlKEgndO6IAZQljDIEgeQljLCzOVdkCu / SGrkbF56NPNeKxMzMRHxENe0 + 89 DwuNtHHzl
5 PJr8NcnLW3Pbf7r1nCZm2gpae8zMrz4i / W6AgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAETETG0xukB4HVaeMHEtRi26RedvkyjBSfX9W77QYvC4xz7dMlYlrU7M929dWJLFc6aPK0q
7 YLxPS0S22FlP6q38Zac0yR92s / KVc3tHfFf8tpbcsLRvB / dR / 8 ALLVnU0r9uL1 + dZI1mnmdvGpv
6 TOy6ym + Oto2tWJ + cJ / tW + KLK5KW + zes / KU7tG + h01p64qx8Y6NXNo6Y + uPJlp8rLf0rfG7MXtHa
0x8 pZxqs9e2a8f8A7Oj7HaTHn0 + f6RWM23LETfr6vRW4PoL99NT8ui7F4 + vEdXXtnt + fVbXjGsr /
AOZE / OsPS29nuH27YrV + VpeV9pdPXhOtw49NG9Mld55 + vXcTPd42I47qo7xSfyWV9oM8d8VJ / VxM
d8l46xWF9cV7en6o / qLfxp2I9ob + eCv / AHMo9op89P8A / wBORGmyT5R + qfo2X8P7n9Q / jTsx7RR5
6 ef + 4 / 8 AuHftg / 8 A6cWcOSO9J / WEbWr3pY7Efzp2Lcfv5YK / 9 zWy8d1E / ZpSv5Oba1 / + Hb9lc + LP
bFt87I7E / wAabWbiurvEx4nL / pjZzc2bJkn372t85ZXx55 / BX85lucC0vPxnTxlnnjm32mOiZqUu
LJ2p4TwnVavNWaYbRTfre0bQ99pcH0bT0xb78vmtiIiNojaErMwAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAHnfarF7umzRHaZrLjYrdIen9ocPi8JyTt1xzF4eUw23rCm3R4r6bMy
wt6kdTaWLdjswmNoZontsCm0K5XWjopnuDC0dGpqG5bs08 / daKV672MjbSaif6oh6Z5f2LtvptRX
0 tEvUN3Jfo8f7cYve0eX4zV7B5z20xc / C8eSPuZIRficfXlcPaG7ino08HWIbePpLF2NuiyOyrHK
3 fZFSwuovHVfaVF4QK5YWTM9UT0EKry6Ps1Tn4zjn8NZn9nOtLseydObiWW34cf918fWfk + PYANn
KAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAq1WKM + ly4p + / W Y e B x T N d 6 z G 0 x O 0
vobw3FcP0bi2em20Tbmj5Srr418V9sa2Z7qKyzi07MXUylhaU7yjqhLCeiq3ddaFNxFYW7NLNG8t
zya + WO6Va9J7FW66mvwidnrXiPY3Ny8RyUn71Jj9Ht3RPjk19HK9pMHj8D1ER3rHN + jqqtTjjNps
uOe16zAifXzfTz7kNyndpYazS9qT0mszDdoxrsi6m8LazMq6zDOsq1ZEyrt1WWlXaUCqyq0rbKbi
Fdp6PReyFd8uqv8ACsfy83aXrPZHHto89 / xX2 / SP / dpj6y8vx6EBq5gAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAB5n2q03LfDqqx39y39npmlxbS / TOG5se29tuavzgWzeV4mtui2
O3RRSY2hdVhqO2MvI36iu9lUsrSrvDHn6spnmSiq5jooyV6tq1VV69RC32byTh43h8otMx + r6I + Z
aK / g8TwX7bXh9Mid4iW + fjl8n1ICWb57xLBOm4zqse20Tbmj8 + qKdnS9q8PhcTw5tumSm0 / OHMxz
0 Za + uzx3sX1t0Zxurr1ZxvspWiZYWZbsbT0QK7KLrZVZJFaqt5vbezNOTg9J / FaZeJns93wCvLwb
T / GJn92uGHldIBowAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADuAPA67F9H4l
qMW20VvO3yRWW97T4fC4rXJHSMtI / WGhVlue3b473K2KzMML4 + 62 tujG9pnozXaOSOVFMnVbmq1t
trJRW5E7wwvUxTvCyY6CHOt7moxz6Wh9PxTzYaT61h8x1MbZK / OH0zTf + Fxf6I / htj45vL9WgLMn
mvbPFvocGWO9L7fq85p5maw9d7VYvE4JkmPu2if3eW0 + PasdFNOnxfF1Y2hlykRsmY + LJ0MZjZXa
eq2eyi8oQTO0KLdZWzPRjWu6VaqtHR73g0bcI0sf0Q8Nkq93wqNuFaWP + XDTDDytwBowAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAef9q8HNpcGaI60vtPyl56k9Iew49j8ThGe
PwxFv0l4zH2U26fDfTYiyJljvsjf4sm6vJ1hrXjq2MkqLdZEVbgbMx0auGdmzNt6iHN1Ub5af6of
TdPG2nxx6Vj + HzaaTm1 + nx / iyVj930ysbViPRrj45vL9SAuyc7j1efguqj + jd4 / T33rD3HEcPj8O
1 GP8WOY / Z4TTT7sKadHhbcsZnaCJ3TPZk6VdrKbTutmP0U2nqgrGOsr8deiuI2X09EqKM1dt3uuG
f / jdN / 06 / wAPE546S9rwud + Gaaf + XH8NMMPK2wGjAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAABrcRp4nDtRWPPHP8PCYusPoWSvNjtX1iYfPuWaXtX8MzCuvjfw32siu8ptXoxi
0 wy5t4YulReqmazu2skbquURWFInddM7VYRGyL291KFnCcfj8e0le / Lbmn8n0N4b2Ur4nHLWmPsY
5e5 a5 + OXyXugBZmiY3iY9Xz7NjnTa3Ph / BeYj5PoTxftFg8Hjk2iOmWkW / Psrr418V5WrWd2faFc
V2jdnEMXWxntupmN7NiYU27iWML6dVMVnddjgVqMsdHr + CW5uE6f4Rt + 7 yuSsTDv + zWXn0WTHP3L
/ t K + G H l + O 0 A 1 c 4 A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA8Dn93W56 / wDM
t / L3z59qp24jn + OS38lnpr4r7ZxHQ2TEstt3PXUrt27K57rr1VT0BjKnJPRbMqMs7QlV2fYvHvrd
VknyrEfu9m8f7FZI8fVU85iJewbT45NfQBKo817W4eulzxHaZrL0rje09ItwqbfhtBVs3leai8RD
KLw1sduesL606dWFdsZT1jdhNeq6K9DlhCVUU6s4jZnt1YzAhnM71dH2bycmszY / K1d / 0 c6OzY4R
fwuK4p8rTstn6z8k7HrwGzkAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHz3
Vxvr80 / 8 y38voTwGpj / F5 / 8 AqT / JfjTx / WVeyY6FPspc9dZPVXaOq2WEwIUTVRmjo2rNfLHRI3vZ
DJycXtX8dZh7t879nsnhcbwz23tt + r6I2nxyb + gCVBzuPY / E4PqI9K7ui19fTxNBnp60n + Aj5 / pJ
3 jZu1aOnnltMNussdfXbm + l3ZM9URHREdZVXTuT1Nk7boQiOkJw28PU47 / htEp5eivJPLMTCZ9Vv
x7mJ3iJ9UqNHk8XR4b + tIXuhxAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD
weqjbWZ4 / wCZP8vePCaz / wDIaiP + Zb + UX408f0r9lOxWOifJhXWjfyYWllPRXYQxnrCrJHRd3YZI
6 A1NJecHEsN / S0T + 76 bE7xE + r5dk93LW3pL6ZpMni6PDf8VIn9m2fjm8s9rgFmQxvHNS0esbMiew
PnHLyai9fS0w2aNfUTtrs3 + uf5bGPqy068fF227KtSsdFlKqNGMV6myyY6sbdIQI8tlOWOi6Jhhk
j3RD0vA8nicMx9etZmHRcT2Zyb6XNT8N9 / 2 dt0T449T2AJVAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAHhdfG3E9TH9cvdPEcXjk4zqI / q3L8aeP6xr2TsxpLOekMK6mFo6qpXSrm
OqBixvHSVmzC4OfqK7S9 / wAByeLwbTW9K7fo8Fqo6Paeyl + fglI / Da0NcMPK7QC7AAB8313TiOf /
AKk / y2MHWrX4jG3E9R / 1 Lfyv0 / aFNOrHxuU7LI7MMayGTVlHWUXhNe6Z6wIUsb9d1m20q7dkDpez
N9tRqKT5xEvRvKez9 + Xis1 / FSYerb5 + OTyf6AFlAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAB43j9eXjN / jWJ / Z7J5L2mry8Upb8VIF8f6aGOey2eynHvOy7bowrrYSxZSwQJ2YXZ
92 N4BoanrEvVexmTm4blr + HJ / aHltRHSXofYm / 1 Wrp5RaJaYY + X49WA0c4AD51xONuKan / qW / lbp
+ 0 MOLRtxbU / 9 SU4J7KadWPjep2WQrr2WRPRk1TvsndXMpiRCb9FNu0rbTuqvKBscCjfi9PhWZeue
V9n434rafTHL1TfPxy + T / QAszAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHmv
avHtfTZfnV6VxPajHzcNrf8ABeJFs / XnMcr4no18c + 6 vr2YadkY2YM57sEDLyY37Mo7MMnYGlqO0
vQ + xNfqNVb1tEfs87qZ2rL0 / sVX / AHdnt65P7Q0wx8vx6UBo5wAHz / jUbcX1PT78qtO2vaCnJxjP
8 Zif2amnnspp04 + OjWejKJ6MKdmcMmyJn4m5ZHzEVPMwtJv0VZLbQDqezcb8RzT6Y / 7 vUPM + ytZt
n1OTyiIh6Ztn45N / 6 AFlAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABocbxeLw
nUR5xXm / Rvq8 + OMuDJjntaswEeBxT0bNZ6NatZpNqz3rO0rqsdO3PxlaWEMpY + aqWXkryT0ZT2V3
7 A0dVPuy9f7G124NM / iyT / Z4zWT7sw957MYfB4Fp4 / FE2 / WWmGHldcBowAAeM9qKcvFeb8VIly9P
0 nq7ntbTbVYL + tJj93CwT76unR4 / jo0nozhhTsy3Y1sWljM9Ce7HyQIm3RRlttVbaWrnt0Sh6n2U
x8vD8mSfv3 / h3XN4Bi8Lg2nj8Uc36y6TeOPXugCUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAPD8RxeBxXUU26Tbmj8 + quro + 02 Lw + I4ssdslNvzhzazvDPbq8d7GW7Dfqz2VzG
0 s2qd + iu / Zn5Ksk9BVztX1mI8930zh2LwOHabH + HHWP2fNYp4 + vwYvxXiP3fUqxtWIjyjZtj45 / L
faQFmQADzftfj3w6fJ6WmHmsP23rvaqnNwqLfhvEvIYZ + sV038bo0noy36MK9oZQxrdMyrlnMbMZ
QKrS1M07zEestq / RRjr4utwY / wAV4j91p9V18fQdJj8LR4ccfdpEfsuREbREJbuMAAAAAAAAAAAA
BAJAAAAEAJEAJQAJQAJEAJQAJQAJEACUJAQlAJEAJQAJQJAAAEAJEAJBAAAJAABAJEJAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABwvanDzaPFmjvjv8A
tLztJ3h7HjGHx + FainnFeaPnHV4vFbeIU038VbHeGF + kso7Mb9mTdhKnLK3dRm7SIrHhGPxeP6Sv
9 cT / AHfSnz72Zx + J7Q45 / BWZ / Z9BbZ + OXyfQBZQABzeP4 / E4NqI9Ii36S8Ng / wAx9C4jTxOH6ivr
jn + Hz3B / mQi / GvjdCnWNlsdI2V07LIlg6USrt2ZzZXMoFV + zPhGLxeOaavpbm / RVltEN72Yx + Jxm
b7dKUmf7L5 + s9 / HtRA2cqRACRACRACRACUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAACQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQCQQCRACRACRCQBCQBCQB
ACRACRACRACRACL1i9LVntMbPATTwdRkxT3pea / u + gPE8Xx + DxrPHlaYt + qNfGvjvtXXsi0dOrKk
dEXjZg6VMtbP2bMtXUdpEV0 / Y2nNxbNf8OP + 727 xvsXH + N1U / wBEfy9k3nxyb + gCVQAGOWvNivX1
rMPnGGOXNNfOJ2fSZ6w + dZKeHxDPX8N7R + 6 L8a + L63KdoZ7q6zvEMpnowdKJ6ywmWUyqvIKM0vQ +
x + D6rU55 + 9 aKx + TzWa36vbezmDwODYenW + 95 / Nphj5L6dQBo5wAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAEiAAAEoA
AAAAAAAAAAAAAEAkEAkRuAkQbgkQAkQAkQAkQAl5T2nx8nEMOT8dNv0l6pwfarHvpcGWPu32 / WCr
YvK4mOem6b9mGKd4Z3idmFdka0y1c892zfpMtLPaNpEV6D2Kj / Eauf6YeweQ9ieuTVz8K / 3 evbT4
5 NfQBKoAA8FxCvJxrUx / XMvevD8Zry8fz / Haf2RfjTx / 6 RSOnRMyypHu9kXjowrqVSrvPRnZVl6V
kK0775MsUjvadn0nT4ow6bFijtSsVfPuFYvpPGtNTy54mfy6vorXDm8l9pEC7JIgBIgBIgBIgBIg
BIgBIhIAgBIhIAgBIgBIIBIAAhIAhIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJAAAAAAAAAAAAAAA
AAAAAAAAABAJQkAEAAAAAAAAAAjc3BIjdG4Mkbo5kcwMjdhzHMDPc3V8xzAs3N1fMjmBZubq + Y5g
Wbm6vmOYFm5ur5jmBZubq + Y5gWbm6vmOYFm5ur5jmBZubq + Y5gWbm6vmTzAz3N2HMnmBlu5ftFTx
OEZJ / DMW / d0t2rxKni8N1FPWkiZ9eS08e7Cy8dGGn6UhZaJljXZGnmc3UT3dPP2cnUT78xCIV6j2
H / 8 A9c / 6 f7vXPI + w8bU1U + vL / d63du5NfUiDcVSIAS8b7RV5eOb / AIqRL2TyXtNX / e2KfXH / AHlF
+ NPH / pr4 + 2 xcxx0hFpY11K7R16KM32ZWz3UaidqSgrc9kcPicWyZJjfw6T + 727 y3sXh2xarN + K0V
h6lvPjj3e0ASqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJQAAAAAkQAkQAkAAAAAAAAAAAAAAA
EgAAAAAAAAAAAAAAAAAAAAAgAAABKDcAN0bgkY8xzAyRux5kcwM9zdXNkTcFm6OZXzMeYFvMibKu
ZHMC2bo51U2RuC2bom6rc3BZzom6sBZzI52ADPnOdggFnMc6skFnMc6rc3BbznOp3RzAv50c6nml
HMC / nOf4qOY5wX85zqOc5wbHOc7X5znBsc6edr85zg2ec52vzpi4NjmY5bROG + / b l l V z s N T k 5 d L l
n0pP8BHmMHWNmzt0aum8obm08vVjfrtnxztR0mXHzTvaZdjVRMTLkZo6yiFen9iZ2pqY / wBP93rN
3 kPY + / L f P X 1 r E / u 9 X z N 3 H f q z d O 6 v m T u I Z 7 m 7 H c 3 B n u 8 t 7 T R / v H B P 9 E / y 9 P u 8 3 7 S V 3 1 u m n + i f 5 R f i
/ j / 0 1 M M b 1 h j k r t K z B G 0 b M s m O Z Y 1 1 t O Y a m r 6 U n d 0 L U c 7 X T 7 u 3 r J P q L 8 e r 9 l c P h c F p b z y W m 3 9 v 7 O 0 0
+ FYvA4Zpsc94xxu227jv1IAgAAAAAAAAABKAAAASgASgBIgBIgBIgBIhIAAAAAAAAAAAAAAAAAAC
UACUJAAAAAAAAAAAABIAAAAAAAAAAAAAAAAAAAAg3AEbomQZbo3YzLGbAz3RNlc3YzcFs2YzdVN2
M2Bdzom6nmNwW86JurTAMuY3REJ2BB1ZRVMVBhsbSsiqeUFXLucq3lTygp5TlXcpygp5TlXcpygp
5 TlXcqOUFXKjlXcrGYBXysdlswiYBVMdUTCyY6sZBWxlnMMZgGLGZZSwkDdHMiWO4MuY5mEyjcFn
N1OdVzHMC3nTzqeY5gX85zqOZPMC + Lqdbk20eb / RKOZr8QybaK / XvtH7iZ9aGlp2luzT3fg19NHS
OjbmPcYX67XH1XSZ9XIzRvMuzrK7zLkZYmYnciunb9lZ5dTk + OP + 71 cXeP8AZnJ / ip2nf3J / l6iL
/ F u 5 L 9 b M W Z c z X i 6 Y u I b E W T z K I u y i w L t 3 n u O 2 5 u I 4 a / h x 7 / r L u c z g 8 T i c v F L b f d p E K 6 + N P H / p h h j o
stLGkctUWnoxrrU3j1cnWTzZq1jzl1clo5Zcu8c + txR63iP3Tn6pv4 + g4o5cVI9IiGe7CJ2iE7t3
GyN2O6dwSINwSISAlAAlACRAAlAAlACRACRCQAAAAAAAAAASgASISAAAAAAAAAAAAACQAAAAAAAA
AAAAAASAAAAAAAAAAAAAAAAIAAAQCAJljuljsCJlhMs9mOwMJYys5TkBVsjZdyHICrZPKt5E8oK4
qmKrOVOwMIqyirPY2Bjyp2ZbAI2NmSARsbMgEbI2ZAMdjZICNkbMkSCNmOzJEgx2YyzljMAwlhKy
WEwCuWErJhhMArlhLOWEgxljMpljIImWMyTKJA3N0IBO5vux3NwZbnMx3NwZczT4jf3MdPW27a3a
fJOq1XNP2KdIRfi + J2trSYfcjeF + Wm1OicVeWIiN9kai8xjY12ORqultnI1Ecsujq79XP1FovWYI
rTgeq + j8QrWZ + 3 Mx + r2UXeC0WG2Ti2kiN5mL807eUREvbzbaejefHJv62Iv8WUXa0WTFhVtRdlF2
rz9WUXBtc7jR9dqc2T1ttHyhvZMvJitb0jdq6XHNcNenWVN3028U99WRj6Kb02be3Tq18 / SN2Lpc
3 UdN9nOmZrqKX / DaJ / d0svvTLRzV3jomK6 + Pd1vvWJj0ZczT0mXxNJht60hfFnQ4qu3N1cWTEgs3
Tur5k7gz3N2O5uDM3Y7m4MtxBuCQASIASIASAAAAAAACRCQAAAAAAAAEoSAAAAAAAAAAAlAAlCQA
AAAAAAAAAAASAAAAAAAAAAAAIASgAAAEJAQJQCNkbMgGOyOVnsAw5TlZ7GwMOVPKy2NgY7GzIBGx
skA2AAAAAAAAAAQkBAEghEskAxYzDPZGwK5hjMLJhjMAqmGEwumrCagomFcw2JqqtUFEsLLrV82F
o7gqljKyYYTGwMZRKUSCAQAboJnaN5Bjkneu0d5W4ccViIiOzHFWbTzNumP1Zarr8eeRMbxDW1Mx
NO67NbkhzNVnmInqzaOZrL93JyZeV0M1 ++ 7 S02jvxDWxhxx033tPpC8Z6rrezWjmZyazJG2 / u03h
2 vFibTHoqvamiwVwY + nLGzV0 + SZ1Mx8G0 / 45 tOhzJ5lXMc3UVXRdlF1HP + iYsDPLPPy49 / tz1 + Te
pSIr0ho6ak5Ms5J8o2q6NImOrHV7XX488ypzTtHXo0s9t6zG7c1G1qz6ubeZiZ3UatXJG3yauSO7
cvMTEx5tPLb3prPRMVr0HB8vicNxf0 + 7 + kt + LOJwTJyY / Bnz3tH93X36N58cWvq6LSyiyndMSlC7
mZcymLJiwLosmJVRLKLAtiU7q4lMSCzc3YxJuDMRuAlKAEgAAAlAkAAAAAABKAEgAAAAAJAAAAAA
AAAAAAAEgAAAAAAAAAAAAAkAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAhIAAACAAAASgAAAAAAEAAAA
hGzJAImGMwzQDDZjNVuyNgUTVhNGxysZqDVmiu1G5NN2M4waM0 + DCaN2cbGcQNGaMZq3JxMJxA1J
qx2bU4kU09slorWNwa20z02RXHbJbl26QvtFovbHWkxEdJt5y2MOHlr2U1W3jx + 1 hiw8vSO63lmI
XRTaEWmtY6snRHO1VpmJ + DjavpSZl2s8b7y4HFcnh0n0gha5ebJN55KRM2mdoiPN6fh + kpwXh0Wy
RHj5Otp / s5Ps1p62y31 + em9aTMYt / OfVfxTiPjZ52naI7fBrI5t66xz5 + a1rW7yx0eSL6iZjtEOX
qNbSletom3lENjh2fbHzbbWt3iVozruc + 5 ztWubf4M4ybpQ2Oboyrva0Vjza8WdDR4OkXt3n9ldX
kaePP9VtYqctYhdvt5oivTeCZ2YOxXk6ubqMfV0b9mrljfqlFcq88k7z2U5axeItDa1OPessuC8P
ya7XRWYnwqdbT / ZMilvIu4dpslNdixXja8Y5tt85djZdbDWnGOesRtXFtuw6T27No5Kx2OrKYQlC
ExKJgBnEpiyvdlEgsizKLKollFgWxLKJVRLKJBbEp3VxLKJBnuMWQJEbpBIAAAJAAAABIAAAAAAA
lAJAAAAAAAAAAAAAASAAAAAAAAAAAAAJAAAABAJABAlAAAAAAAAAAAAAAAAAAAAAAAAIAAAAAAAA
AAABAJQAAAAgAABAAI2EoBGyJhkgGPKxmqxAKpownHC + YRMdN5BrTj67R3bOn01o7p01Iv71u89o
b9a7LfBTfS1vWI2jf12VfQPSW8KX2mas + NC2iv6xMNfJpMnLtEbuuxtMRCtzF55NR5rPps1N / ctP
y6uHreE6nXZ4pak48X3rT06fB7fNeI33cbX6mI32R / MWu7XF116aDSRhxbRERs8f499bkyZeeKae
kzE2mdon81 / tfxDLGOunwbzlzbx08oaHBvZHJlx48mrvaa94pu04y617576rNGLRRM0397JEd / lu
9 Dw / S3x4qxffo6mm4NjwUiKY4iI9Ib1dHFY6QIaNabbrYrLfrpJtaK1rMzPZb / s + 05 IpP59OyLeJ
k7eNfRaOc1ue32I7fGXYpi5Y77M8OGMeOKxHSFsU3Y29deZMzirl6dlVvhLatCjJHeYQv1rXnps1
8 k9 / VsW6qLVmZIi1rzitlvFKRvaZ2h6TSaenC9FFY + 3 brM + sqeG8Prp4 + kZ + lvuxPkr1mqm95nfp
DXM459676a2q1dsV7XietvNno78 + CJn1cjX6mOeIm0bR33dfRU5NJjidt9t5afjG / V6JZ7I2QMNh
nyo2BhsMuVG3wAhMSbbQRAMolnE + iuGUSCyJZRKuGUSCyJZK4llEgyZMYTuCUsYSCQASISAAAlCQ
AAAAAAEoASCASAAAAAAAAAAAAlACRACQAAAAAAAAAEgCEoASCAAAAAAAAAAAAAAAAAAAAAAABAAA
AAAAAAAISAIAAAAAAQAAACASgAAAQJAQAAhIDHZhln3do7z0WS18mWsajHjmes7pg3dNi5aRMNqO
yvDHTpPRaigHZhN4hHRlaVN59JY3zRENLUavaO + yq0iNVlitJ6vNcR1MVi0zO0era1 / Ea0rPvbz5
PM5MWp45qvo2GZrhmfrsnpHpHzTCseEcM / 2 vrr8Q1Eb4qzy44nziPN63HpYiIiI7LNHoqabBTFii
IpSNohuVxrKtWMEejPwY9G1FFmHB4mWJn7MdfnIM9JpIx15to5pbUaas / a6rqViI7MxPxqX0UT1r
O3wVzpbR2hviP5i03Y5s6a879FNtHljydhExCv8AMTPJXBnRZbz0iG5ptFjwe / l96zctMVamTJtE
yTMibu1VrdTzRMR0j0ed4lr64MVpm0RERvMz5NvX62uOJ69XhOKX1HH9bHDtFvNYnfJeOy0Z2ojX
6 jjnEq6fRUmccTvN / J9H0eKcOnx45neaxEbubwHgOHg + milI3vP2resu3Wu0JQmITsmISDHZHKz2
JgFc1RMLJhGwK9iIZ7MZgEdgmAEwyiWCdwWRLKJVxKYsC2JTuriWUSDNlEsIlMAySx3SCRCQSIAS
AAACRACQAAAAAAASIASAAAAAAAAAAAAAAACRACRACQASIAAAAAAAAAAAAAAAAAAAAAAAAQCUAAAA
AAAAAAIAAAAAAAAQAAAAAACBICBICAAEJAQJQCJcLjuS2ny6fPG / LWdpd1o8T0X07SXx / e7wCdJx
Wa0jmneHQpxPDMdZmJfNtZm49weZrh0 / j4o7VtSZ2 + Uw0 / 8 A7o49k92vBLc / ntFohFW9PqGXimOI
6 Tu1L8T3eCx6r2t1O3JwvHjifO99v7t / Bwf2l1PXU6rS6eJ8qUm8x + so5TsekzcSjbvs4mt4rzW5
K2mbT0itesy2cHsvbvqtbmyz5xERWP2jd1tJwrTaONsOKtZ8585 + cnDrzmn4Rq + IZObUROHD32n7
Vv8A0ej0uhxaXFGPFSK1j0bkY4jyZRVZVXFGUVWbGwKsk8mObekNrSW3pWf1a2aYjHbm7bNnQ1id
PW0TvuDdhJEbQABMsLW2R0ZTMQrvfbz2YWzVhpanUxEd0dWkW5c8R5uXxDX1w4pnfr5Q19XxKuOJ
2 neXltVqtVxbV / RdJ715 + 1 bypANfiOu1HENV9C0MTfNeesx2rD1PAeBYuE6aKx72W3W9 / WVnBuB4
eF4dqRzZbdb5J72l160WVK02ZxCYhOwI23TsnY2BGxsnYBjsiYZsZBjMMZZSgGEolMsQDdG6NwZ7
piVe6YkFsSziVMWZRILolMSriWUSCyJTuwhMSDMRCQSI3SAlACRCQAAEoAEoASAAAAAAAAACUACR
ACQAAAAAAAAAAAAASAAAAAAAAAAAAAAAAAAACAAAAAAAAAAAAAABAAAAAAAAAAAAACBKAAAAAAAQ
JQAAAhICEbJAYTWJ7wx8KvpC0BV4ceieWGewDHlNmWwCNjZICNhIDmcZredBecdpiY69FXCOLW + i
UiZidukulmxxlx2paN4mNng + K4 + I8Hy2yaTfl37TXetoCPfRxfp1qi3F48ofKMvtvxak8s6LDv61
rZji9rPaLUf5PC + bfttS0q8q3p9W / wBrRMdpUZuKdN99nzvFqPbTVz7nD8OKs + do2 / mW3h4D7Xaq
ZnPrtNpqz35aRaYOHY9Zk4pNt9rR + rl6zi + OnS + WN57Rv1lXp / YrNaYtruL6zNPnGO3hxP6O5w / 2
f0HDuun09Yv55Le9afznqcOvO4tBreMTHu30unnva0bWt8on + 70 nDuE4OHYYx4Kbesz3tPrMuhGO
IjpDOKrK9YVpsyiGUQnYGOyUgI2SlAIEmwMWMs9kTAMJYzDOYRMArmGErZhhMArlHmzmGMwDE3Ts
bAbs4swj5pgFkSziVcM4BZEsolXDKAZwyhjCYBkACQhIAAAAAAAJAAAAAAAAAAAAAAAAAAAShIAA
AAAAAAJAAAAAAAAAAAAAABAJEAAAAAAAAAAAAAAAIEoBKAAAAAAAAAAAAAAABAlAAAAAAAIAAAAA
BAkBAkBAkBAlACEgMZjdjbFW8bWrEx8YWANb6Fp + bfwab + vLDKMFK9qxH5L0bAr8OPRPKz2AY7J2
SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T
lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD /
2021-09-28 18:01:48 +02:00
2 Q == ` ;async function wue(e){let t=(r,a="application/octet-stream")=>fetch( ` data : $ { a } ; base64 , $ { r } ` ).then(o=>o.blob()),n,s;switch(e.config.warmup){case"face":n=await t(j0);break;case"body":case"full":n=await t(q0);break;default:n=null}if(n){let r=await createImageBitmap(n);s=await e.detect(r,e.config),r.close()}return s}async function kue(e){return new Promise(t=>{let n;switch(e.config.warmup){case"face":n="data:image/jpeg;base64,"+j0;break;case"full":case"body":n="data:image/jpeg;base64,"+q0;break;default:n=null}let s;typeof Image!="undefined"?s=new Image:oe.Image&&(s=new oe.Image),s.onload=async()=>{let r=ds(s.naturalWidth,s.naturalHeight);if(!r)re("Warmup: Canvas not found"),t({});else{let a=r.getContext("2d");a&&a.drawImage(s,0,0);let o=await e.image(r),i=await e.detect(o.tensor,e.config);t(i)}},n?s.src=n:t(null)})}async function Iue(e){let t=r=>Buffer.from(r,"base64"),n;if(e.config.warmup==="face"&&(n=t(j0)),(e.config.warmup==="body"||e.config.warmup==="full")&&(n=t(q0)),!n)return null;let s;if(typeof void 0!="undefined"){let r=(void 0).decodeJpeg(n),a=r.expandDims(0);e.tf.dispose(r),s=await e.detect(a,e.config),e.tf.dispose(a)}else e.config.debug&&re("Warmup tfjs-node not loaded");return s}async function JI(e,t){let n=et();if(e.state="warmup",t&&(e.config=rn(e.config,t)),!e.config.warmup||e.config.warmup==="none")return{error:"null"};let s;return new Promise(async r=>{typeof createImageBitmap=="function"?s=await wue(e):typeof Image!="undefined"||oe.Canvas!==void 0?s=await kue(e):s=await Iue(e);let a=et();e.config.debug&&re("Warmup",e.config.warmup,Math.round(a-n),"ms"),e.emit("warmup"),r(s)})}var ju,ep,tp,X0,eS=class{constructor(t){Ne(this,"version");Ne(this,"config");Ne(this,"result");Ne(this,"state");Ne(this,"process");Ne(this,"tf");Ne(this,"env");Ne(this,"draw");Ne(this,"models");Ne(this,"events");Ne(this,"faceTriangulation");Ne(this,"faceUVMap");Ne(this,"performance");ac(this,ju,void 0);ac(this,ep,void 0);ac(this,tp,void 0);Ne(this,"gl");Ne(this,"analyze",(...t)=>{if(!rc(this,ep))return;let n=this.tf.engine().state.numTensors,s=rc(this,ju);oc(this,ju,n);let r=n-s;r!==0&&re(...t,r)});ac(this,X0,t=>{if(!rc(this,tp))return null;if(!t)return"input is not defined";if(this.env.node&&!(t instanceof He))return"input must be a tensor";try{this.tf.getBackend()}catch(n){return"backend not loaded"}return null});Ne(this,"emit",t=>{var n;return(n=this.events)==null?void 0:n.dispatchEvent(new Event(t))});E0(),this.env=oe,na.wasmPath= ` https : //cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${kh}/dist/`,na.modelBasePath=this.env.browser?"../models/":"file://models/",na.backend=this.env.browser?"humangl":"tensorflow",this.version=Kx,Object.defineProperty(this,"version",{value:Kx}),this.config=JSON.parse(JSON.stringify(na)),Object.seal(this.config),t&&(this.config=rn(this.config,t)),this.tf=Ii,this.state="idle",oc(this,ju,0),oc(this,ep,!1),oc(this,tp,!1),this.performance={backend:0,load:0,image:0,frames:0,cached:0,changed:0,total:0,draw:0},this.events=new EventTarget,this.models=new Yd,this.draw={options:Kr,canvas:(n,s)=>XI(n,s),face:(n,s,r)=>Gx(n,s,r),body:(n,s,r)=>jx(n,s,r),hand:(n,s,r)=>qx(n,s,r),gesture:(n,s,r)=>Hx(n,s,r),object:(n,s,r)=>Xx(n,s,r),person:(n,s,r)=>qI(n,s,r),all:(n,s,r)=>KI(n,s,r)},this.result={face:[],body:[],hand:[],gesture:[],object:[],performance:{},timestamp:0,persons:[]},this.process={tensor:null,canvas:null},this.faceTriangulation=G8,this.faceUVMap=j8,this.gl=$t,this.emit("create")}reset(){let t=this.config.backend;this.config=JSON.parse(JSON.stringify(na)),this.config.backend=t}validate(t){return wg(na,t||this.config)}image(t){return zu(t,this.config)}similarity(t,n){return rx(t,n)}async segmentation(t,n){return zI(t,n,this.config)}enhance(t){return ax(t)}match(t,n,s=0){return K8(t,n,s)}async init(){await B0(this,!0),await this.tf.ready(),_8(this.env)}async load(t){this.state="load";let n=et(),s=Object.values(this.models).filter(o=>o).length;t&&(this.config=rn(this.config,t)),oe.initial&&(this.config.debug&&re(`version: ${this.version}`),this.config.debug&&re(`tfjs version: ${this.tf.version_core}`),a
2021-04-28 14:58:21 +02:00
/ * *
* @ license
* Copyright 2017 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
*
* 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.
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ 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
* Copyright 2019 Google LLC
*
* 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.
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2019 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
*
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2019 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google Inc . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google LLC
*
* 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.
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the License ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an AS IS BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2021 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
2021-04-30 17:55:04 +02:00
/ * *
* @ license
* Copyright 2021 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* https : //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 .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
2021-08-31 19:00:06 +02:00
/ * *
* @ 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 .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
2021-04-28 14:58:21 +02:00
/** @license See the LICENSE file. */