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/ *
Human library
homepage : < https : //github.com/vladmandic/human>
author : < https : //github.com/vladmandic>'
* /
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var Human = ( ( ) => { var s8 = Object . create , Ah = Object . defineProperty , i8 = Object . getPrototypeOf , o8 = Object . prototype . hasOwnProperty , l8 = Object . getOwnPropertyNames , u8 = Object . getOwnPropertyDescriptor ; var J1 = e => Ah ( e , "__esModule" , { value : ! 0 } ) ; var $g = ( e , t ) => ( ) => ( t || ( t = { exports : { } } , e ( t . exports , t ) ) , t . exports ) , er = ( e , t ) => { for ( var n in t ) Ah ( e , n , { get : t [ n ] , enumerable : ! 0 } ) } , c8 = ( e , t , n ) => { if ( t && typeof t == "object" || typeof t == "function" ) for ( let r of l8 ( t ) ) ! o8 . call ( e , r ) && r !== "default" && Ah ( e , r , { get : ( ) => t [ r ] , enumerable : ! ( n = u8 ( t , r ) ) || n . enumerable } ) ; return e } , yh = e => c8 ( J1 ( Ah ( e != null ? s8 ( i8 ( e ) ) : { } , "default" , e && e . _ _esModule && "default" in e ? { get : ( ) => e . default , enumerable : ! 0 } : { value : e , enumerable : ! 0 } ) ) , e ) ; var Dg = ( e , t , n ) => { if ( ! t . has ( e ) ) throw TypeError ( "Cannot " + n ) } , me = ( e , t , n ) => ( Dg ( e , t , "read from private field" ) , n ? n . call ( e ) : t . get ( e ) ) , _a = ( e , t , n , r ) => ( Dg ( e , t , "write to private field" ) , r ? r . call ( e , n ) : t . set ( e , n ) , n ) ; var S6 = $g ( N6 => { J1 ( N6 ) ; er ( N6 , { MediaPipeFaceMesh : ( ) => _2 , load : ( ) => cae } ) ; var _2 = class { constructor ( t , n , r , a ) { this . facePipeline = new b2 ( t , n , r ) , this . config = a } async estimateFaces ( t , n ) { let r = await this . facePipeline . predict ( t , n ) , a = [ ] ; for ( let s of r || [ ] ) { if ( s . isDisposedInternal ) continue ; let i = s . coords ? s . coords . arraySync ( ) : [ ] , o = i . map ( h => [ h [ 0 ] / t . shape [ 2 ] , h [ 1 ] / t . shape [ 1 ] , h [ 2 ] / this . facePipeline . meshSize ] ) , l = { } ; if ( i && i . length > 0 ) for ( let h of Object . keys ( qr ) ) l [ h ] = qr [ h ] . map ( d => i [ d ] ) ; let c = s . box ? [ Math . max ( 0 , s . box . startPoint [ 0 ] ) , Math . max ( 0 , s . box . startPoint [ 1 ] ) , Math . min ( t . shape [ 1 ] , s . box . endPoint [ 0 ] ) - Math . max ( 0 , s . box . startPoint [ 0 ] ) , Math . min ( t . shape [ 2 ] , s . box . endPoint [ 1 ] ) - Math . max ( 0 , s . box . startPoint [ 1 ] ) ] : 0 , u = s . box ? [ s . box . startPoint [ 0 ] / t . shape [ 2 ] , s . box . startPoint [ 1 ] / t . shape [ 1 ] , ( s . box . endPoint [ 0 ] - s . box . startPoint [ 0 ] ) / t . shape [ 2 ] , ( s . box . endPoint [ 1 ] - s . box . startPoint [ 1 ] ) / t . shape [ 1 ] ] : [ ] ; a . push ( { confidence : s . faceConfidence || s . boxConfidence || 0 , boxConfidence : s . boxConfidence , faceConfidence : s . faceConfidence , box : c , boxRaw : u , mesh : i , meshRaw : o , annotations : l , image : s . image ? s . image . clone ( ) : null } ) , s . coords && s . coords . dispose ( ) , s . image && s . image . dispose ( ) } return a } } , Fi = [ null , null , null ] ; async function cae ( e ) { Fi = await Promise . all ( [ ! Fi [ 0 ] && e . face . enabled ? x6 ( e ) : null , ! Fi [ 1 ] && e . face . mesh . enabled ? Tt ( e . face . mesh . modelPath , { fromTFHub : e . face . mesh . modelPath . includes ( "tfhub.dev" ) } ) : null , ! Fi [ 2 ] && e . face . iris . enabled ? Tt ( e . face . iris . modelPath , { fromTFHub : e . face . iris . modelPath . includes ( "tfhub.dev" ) } ) : null ] ) ; let t = new _2 ( Fi [ 0 ] , Fi [ 1 ] , Fi [ 2 ] , e ) ; return e . face . mesh . enabled && e . debug && Ee ( ` load model: ${ e . face . mesh . modelPath . match ( /\/(.*)\./ ) [ 1 ] } ` ) , e . face . iris . enabled && e . debug && Ee ( ` load model: ${ e . face . iris . modelPath . match ( /\/(.*)\./ ) [ 1 ] } ` ) , t } N6 . triangulation = Mi } ) ; var x0 = $g ( H2 => { J1 ( H2 ) ; er ( H2 , { NUM _KEYPOINTS : ( ) => mae , connectedPartIndices : ( ) => yae , partChannels : ( ) => xae , partIds : ( ) => G2 , partNames : ( ) => fae , poseChain : ( ) => gae } ) ; var fae = [ "nose" , "leftEye" , "rightEye" , "leftEar" , "rightEar" , "leftShoulder" , "rightShoulder" , "leftElbow" , "rightElbow" , "leftWrist" , "rightWrist" , "leftHip" , "rightHip" , "leftKnee" , "rightKnee" , "leftAnkle" , "rightAnkle" ] , mae = H2 . partNames . length , G2 = H2 . partNames . reduce ( ( e , t , n ) => ( e [ t ] = n , e ) , { } ) , Aae = [ [ "leftHip" , "leftShoulder" ] , [ "leftElbow" , "leftShoulder" ] , [ "leftElbow" , "leftWrist" ] , [ "leftHip" , "leftKnee" ] , [ "leftKnee" , "leftAnkle" ] , [ "rightHip" , "rightShoulder" ] , [ "rightElbow" , "rightShoulder" ] , [ "rightElbow" , "rightWrist" ] , [ "rightHip" , "rightKnee" ] , [ "rightKnee" , "rightAnkle" ] , [ "leftShoulder" , "rightShoulder" ] , [ "leftHip" , "rightHip" ] ] , yae = Aae . map ( ( [ e , t ] ) => [ G2 [ e ] , G2 [ t ] ] ) , gae = [ [ "nose" , "leftEye" ] , [ "leftEye" , "leftEar" ] , [ "nose" , "rightEye" ] , [ "rightEye" , "rightEar" ] , [ "nose" , "leftShoulder" ] , [ "leftShoulder" , "leftElbow" ] , [ "leftElbow" , "leftWrist" ] , [ "leftShoulder" , "leftHip" ] , [ "leftHip" , "leftKnee" ] , [ "leftKnee" , "leftAnkle" ] , [ "nose" , "rightShoulder" ] , [ "rightShoulder" , "rightElbow" ] , [ "rightElbow" , "rightWrist" ] , [ "rightShoulder" , "rightHip" ] , [ "rightHip" , "rightKnee" ] , [ "rightKnee" , "rightAnkle" ] ] , xae = [ "left_face" , "right_face" , "right_upper_leg_front" , "right_lower_leg_back" , "right_upper_leg_back" , "left_lower_leg_front" , "left_upper_leg_front" , "left_upper_leg_back" , "left_lower_leg_back" , "right_feet" , "right_lower_leg_front" , "left_feet" , "torso_front" , "torso_back" , "right_upper_arm_front"
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` )),l.join( `
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` )}function vk(e,t,n,r){let a=Ot(t),s=r[r.length-1],i=new Array(s).fill(0),o=t.length,l=n==="complex64"?Ru(e):e;if(o>1)for(let c=0;c<a/s;c++){let u=c*s;for(let h=0;h<s;h++)i[h]=Math.max(i[h],Eu(l[u+h],0,n).length)}return i}function Eu(e,t,n){let r;return Array.isArray(e)?r= ` $ { parseFloat ( e [ 0 ] . toFixed ( lf ) ) } + $ { parseFloat ( e [ 1 ] . toFixed ( lf ) ) } j ` :va(e)?r= ` '${e}' ` :n==="bool"?r=r5(e):r=parseFloat(e.toFixed(lf)).toString(),lu(r,t)}function r5(e){return e===0?"false":"true"}function sd(e,t,n,r,a,s=!0){let i=n==="complex64"?2:1,o=t[0],l=t.length;if(l===0){if(n==="complex64"){let m=Ru(e);return[Eu(m[0],0,n)]}return n==="bool"?[r5(e[0])]:[e[0].toString()]}if(l===1){if(o>n5){let A=Cu*i,y=Array.from(e.slice(0,A)),g=Array.from(e.slice((o-Cu)*i,o*i));return n==="complex64"&&(y=Ru(y),g=Ru(g)),["["+y.map((w,b)=>Eu(w,a[b],n)).join(", ")+", ..., "+g.map((w,b)=>Eu(w,a[o-Cu+b],n)).join(", ")+"]"]}let m=n==="complex64"?Ru(e):Array.from(e);return["["+m.map((A,y)=>Eu(A,a[y],n)).join(", ")+"]"]}let c=t.slice(1),u=r.slice(1),h=r[0]*i,d=[];if(o>n5){for(let m=0;m<Cu;m++){let A=m*h,y=A+h;d.push(...sd(e.slice(A,y),c,n,u,a,!1))}d.push("...");for(let m=o-Cu;m<o;m++){let A=m*h,y=A+h;d.push(...sd(e.slice(A,y),c,n,u,a,m===o-1))}}else for(let m=0;m<o;m++){let A=m*h,y=A+h;d.push(...sd(e.slice(A,y),c,n,u,a,m===o-1))}let p=l===2?",":"";d[0]="["+d[0]+p;for(let m=1;m<d.length-1;m++)d[m]=" "+d[m]+p;let f= ` ,
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` ;for(let m=2;m<l;m++)f+= `
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` ;return d[d.length-1]=" "+d[d.length-1]+"]"+(s?"":f),d}function Ru(e){let t=[];for(let n=0;n<e.length;n+=2)t.push([e[n],e[n+1]]);return t}var zt=class{constructor(e,t,n){if(this.dtype=t,this.shape=e.slice(),this.size=Ot(e),n!=null){let r=n.length;M(r===this.size,()=> ` Length of values '${r}' 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||Ug(t,this.size),this.strides=Xi(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 r of e){if(r<0||r>=this.shape[t]){let a= ` Requested out of range element at $ { e } . Buffer shape = $ { this . shape } ` ;throw new Error(a)}t++}let n=e[e.length-1];for(let r=0;r<e.length-1;++r)n+=this.strides[r]*e[r];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 Er().makeTensor(this.values,this.shape,this.dtype)}},Er=null,Jo=null,Ik=null;function Nk(e){Er=e}function Sk(e){Jo=e}function Tk(e){Ik=e}var je=class{constructor(e,t,n,r){this.kept=!1,this.isDisposedInternal=!1,this.shape=e.slice(),this.dtype=t||"float32",this.size=Ot(e),this.strides=Xi(e),this.dataId=n,this.id=r,this.rankType=this.rank<5?this.rank.toString():"higher"}get rank(){return this.shape.length}async buffer(){let e=await this.data();return Jo.buffer(this.shape,this.dtype,e)}bufferSync(){return Jo.buffer(this.shape,this.dtype,this.dataSync())}async array(){let e=await this.data();return Ki(this.shape,e)}arraySync(){return Ki(this.shape,this.dataSync())}async data(){this.throwIfDisposed();let e=Er().read(this.dataId);if(this.dtype==="string"){let t=await e;try{return t.map(n=>ad(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=Er().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>ad(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 Er().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(Er().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return Jo.print(this,e)}clone(){return this.throwIfDisposed(),Jo.clone(this)}toString(e=!1){let t=this.dataSync();return kk(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),Jo.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),Er().makeVariable(this,e,t,n)}};Object.defineProperty(je,Symbol.hasInstance,{value:e=>!!e&&e.data!=null&&e.dataSync!=null&&e.throwIfDisposed!=null});function Z(){return af("Tensor",()=>je)}Z();var Mu=class extends je{constructor(e,t,n,r){super(e.shape,e.dtype,e.dataId,r);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(!ea(e.shape,this.shape))throw new Error( ` shape of the new value ( $ { e . shape } ) and previous value ( $ { this . shape } ) must match ` );Er().disposeTensor(this),this.dataId=e.dataId,Er().incRef(this,null)}dispose(){Er().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(Mu,Symbol.hasInstance,{value:e=>e instanceof je&&e.assign!=null&&e.assign instanceof Function});var Ar={}
Manifest JSON has weights with names : $ { o . join ( ", " ) } . ` )}let l=a.reduce((p,f,m)=>(f&&p.push(m),p),[]),c=[];l.forEach(p=>{t[p].paths.forEach(f=>{let m=n+(n.endsWith("/")?"":"/")+f;c.push(m)})});let u=await e(c),h={},d=0;return l.forEach(p=>{let f=t[p].paths.length,m=0;for(let w=0;w<f;w++)m+=u[d+w].byteLength;let A=new ArrayBuffer(m),y=new Uint8Array(A),g=0;for(let w=0;w<f;w++){let b=new Uint8Array(u[d+w]);y.set(b,g),g+=b.byteLength}s[p].forEach(w=>{let b=A.slice(w.groupOffset,w.groupOffset+w.sizeBytes),_=d5(b,[w.manifestEntry]);for(let x in _)h[x]=_[x]}),d+=f}),h}}var S9="application/octet-stream",T9="application/json",If=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=J().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}],r={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,weightsManifest:n};e.signature!=null&&(r.signature=e.signature),e.userDefinedMetadata!=null&&(r.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(r.modelInitializer=e.modelInitializer),t.body.append("model.json",new Blob([JSON.stringify(r)],{type:T9}),"model.json"),e.weightData!=null&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:S9}),"model.weights.bin");let a=await this.fetch(this.path,t);if(a.ok)return{modelArtifactsInfo:Ou(e),responses:[a]};throw new Error( ` BrowserHTTPRequest . save ( ) failed due to HTTP response status $ { a . 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(p){let f= ` Failed to parse model JSON of response from $ { this . path } . ` ;throw this.path.endsWith(".pb")?f+=" 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.":f+=" Please make sure the server is serving valid JSON for this request.",new Error(f)}let n=t.modelTopology,r=t.weightsManifest,a=t.generatedBy,s=t.convertedBy,i=t.format,o=t.signature,l=t.userDefinedMetadata;if(n==null&&r==null)throw new Error( ` The JSON from HTTP path $ { this . path } contains neither model topology or manifest for weights . ` );let c,u;r!=null&&([c,u]=await this.loadWeights(r));let h={modelTopology:n,weightSpecs:c,weightData:u,generatedBy:a,convertedBy:s,format:i};o!=null&&(h.signature=o),l!=null&&(h.userDefinedMetadata=l);let d=t.modelInitializer;return d&&(h.modelInitializer=d),h}async loadWeights(e){let t=Array.isArray(this.path)?this.path[1]:this.path,[n,r]=C9(t),a=this.weightPathPrefix||n,s=[];for(let c of e)s.push(...c.weights);let i=[],o=[];for(let c of e)for(let u of c.paths)this.weightUrlConverter!=null?o.push(this.weightUrlConverter(u)):i.push(a+u+r);this.weightUrlConverter&&i.push(...await Promise.all(o));let l=await I5(i,{requestInit:this
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Actual : $ { a } .
Expected : $ { s } . ` );for(let i=0;i<s.length;++i){let o=a[i],l=s[i];if(!n(o,l))throw new Error( ` Arrays differ : actual [ $ { i } ] = $ { o } , expected [ $ { i } ] = $ { l } .
Actual : $ { a } .
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Expected : $ { s } . ` )}}function X9(e,t){e().then(()=>t.fail(),()=>t())}function K9(e,t){let n=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return va(e)||va(e[0])||va(t)||va(t[0])?Mf(e,n,(r,a)=>r==a):Mf(e,t,(r,a)=>Ff(r,a,0))}function Z9(e,t,n){if(n==null&&(n=Rf()),!Ff(e,t,n))throw new Error( ` Numbers differ : actual === $ { e } , expected === $ { t } ` )}function Ff(e,t,n){return!isFinite(e)&&!isFinite(t)?!0:!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function Y9(e,t,n){for(let r=0;r<e.length;r++)if(e[r]<t||e[r]>n)throw new Error( ` Value out of range : $ { e [ r ] } low : $ { t } , high : $ { n } ` )}function J9(e,t){expect(new Float32Array(e)).toEqual(new Float32Array(t))}function H5(e){for(let t=0;t<e.length;t++){let n=e[t];Array.isArray(n)?H5(n):e[t]=Tu(n)}return e}var eI="3.3.0";function tI(){J().set("PROD",!0)}function nI(){J().set("DEBUG",!0)}function rI(){J().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function $ f(e){J().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(e+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}Tk( $ f);function aI(){ $ .disposeVariables()}function Fr(){return $ }function hd(){return $ .memory()}function Gn(e){return $ .profile(e)}function L(e,t){return $ .tidy(e,t)}function Te(e){uf(e).forEach(t=>t.dispose())}function Gt(e){return $ .keep(e)}function sI(e){return $ .time(e)}function iI(e){return $ .setBackend(e)}function oI(){return $ .ready()}function lI(){return $ .backendName}function uI(e){ $ .removeBackend(e)}function Df(e){return $ .findBackend(e)}function cI(e){return $ .findBackendFactory(e)}function sl(e,t,n=1){return $ .registerBackend(e,t,n)}function G5(){return $ .backend}function hI(e,t){J().setPlatform(e,t)}function dI(e,t){let n=E(e,"a","add"),r=E(t,"b","add");[n,r]=_t(n,r);let a={a:n,b:r};return $ .runKernel(Ia,a)}var se=D({add_:dI});function pI(e,t){let n=E(e,"a","floorDiv"),r=E(t,"b","floorDiv");[n,r]=_t(n,r);let a={a:n,b:r};return $ .runKernel(bs,a)}var dd=D({floorDiv_:pI});function fI(e,t){let n=E(e,"a","div"),r=E(t,"b","div");if([n,r]=_t(n,r),n.dtype==="int32"&&r.dtype==="int32")return dd(n,r);let a={a:n,b:r},s={};return $ .runKernel(gs,a,s)}var xe=D({div_:fI});function mI(e,t){let n=E(e,"a","mul"),r=E(t,"b","mul");[n,r]=_t(n,r);let a={a:n,b:r};return $ .runKernel(Fs,a)}var O=D({mul_:mI});function AI(e){let t=E(e,"x","abs");if(t.dtype==="complex64"){let n={x:t};return $ .runKernel(du,n)}else{let n={x:t};return $ .runKernel(Zi,n)}}var Pt=D({abs_:AI});function yI(e){let t={x:E(e,"x","acos")};return $ .runKernel(Yi,t)}var Of=D({acos_:yI});function gI(e){let t={x:E(e,"x","acosh")};return $ .runKernel(Ji,t)}var zf=D({acosh_:gI});function xI(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((a,s)=>E(a, ` tensors$ { s } ` ,"addN")),n=t[0];t.forEach(a=>{if(a.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(a=>{if(!ea(a.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let r=t;return $ .runKernel(os,r)}var Fa=D({addN_:xI});function wI(e,t=null,n=!1){let r={x:E(e,"x","all","bool")},a={axis:t,keepDims:n};return $ .runKernel(kh,r,a)}var pd=D({all_:wI});function bI(e,t=null,n=!1){let r={x:E(e,"x","any","bool")},a={axis:t,keepDims:n};return $ .runKernel(Ih,r,a)}var zu=D({any_:bI});function _I(e,t=0){let n={x:E(e,"x","argMax")},r={axis:t};return $ .runKernel(ls,n,r)}var Pu=D({argMax_:_I});function vI(e,t=0){let n={x:E(e,"x","argMin")},r={axis:t};return $ .runKernel(uu,n,r)}var Pf=D({argMin_:vI});function kI(e){let t={x:E(e,"x","asin")};return $ .runKernel(Qi,t)}var Lf=D({asin_:kI});function II(e){let t={x:E(e,"x","asinh")};return $ .runKernel(eo,t)}var Wf=D({asinh_:II});function NI(e){let t={x:E(e,"x","atan")};return $ .runKernel(to,t)}var Bf=D({atan_:NI});function SI(e,t){let n=E(e,"a","atan2"),r=E(t,"b","atan2");[n,r]=_t(n,r);let a={a:n,b:r};return $ .runKernel(ro,a)}var Vf=D({atan2_:SI});function TI(e){let t={x:E
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2021-03-15 13:56:36 +01:00
$ { a } and $ { t } for depthToSpace with input shape
2021-03-17 19:35:11 +01:00
$ { r . shape } ` ),M(s*t>=0,()=> ` Negative dimension size caused by overflow when multiplying
2021-03-15 13:56:36 +01:00
$ { s } and $ { t } for depthToSpace with input shape
2021-03-18 01:16:40 +01:00
$ { r . shape } ` ),M(i%(t*t)==0,()=> ` Dimension size must be evenly divisible by $ { t * t } but is $ { i } for depthToSpace with input shape $ { r . shape } ` );let o={x:r},l={blockSize:t,dataFormat:n};return $ .runKernel(oo,o,l)}var Zf=D({depthToSpace_:AN});function yN(e,t,n,r,a="NHWC",s=[1,1],i){let o=E(e,"x","depthwiseConv2d"),l=E(t,"filter","depthwiseConv2d"),c=o,u=!1;o.rank===3&&(u=!0,c=H(o,[1,o.shape[0],o.shape[1],o.shape[2]])),M(c.rank===4,()=> ` Error in depthwiseConv2d : input must be rank 4 , but got rank $ { c . rank } . ` ),M(l.rank===4,()=> ` Error in depthwiseConv2d : filter must be rank 4 , but got rank $ { l . rank } . ` ),M(c.shape[3]===l.shape[2],()=> ` Error in depthwiseConv2d : number of input channels ( $ { c . shape [ 3 ] } ) must match the inChannels dimension in filter $ { l . shape [ 2 ] } . ` ),i!=null&&M(Ht(r),()=> ` Error in depthwiseConv2d : pad must be an integer when using , dimRoundingMode $ { i } but got pad $ { r } . ` );let h={x:c,filter:l},d={strides:n,pad:r,dataFormat:a,dilations:s,dimRoundingMode:i},p= $ .runKernel(ys,h,d);return u?H(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var ul=D({depthwiseConv2d_:yN});function gN(e){let t={x:E(e,"x","diag")};return $ .runKernel(Oh,t)}var xN=D({diag_:gN});function wN(e,t,n,r,a=[1,1],s="NHWC"){let i=E(e,"x","dilation2d"),o=E(t,"filter","dilation2d");M(i.rank===3||i.rank===4,()=> ` Error in dilation2d : input must be rank 3 or 4 , but got rank $ { i . rank } . ` ),M(o.rank===3,()=> ` Error in dilation2d : filter must be rank 3 , but got rank $ { o . rank } . ` ),M(s==="NHWC",()=> ` Error in dilation2d : Only NHWC is currently supported , but got dataFormat of $ { s } ` );let l=i,c=!1;i.rank===3&&(l=H(i,[1,i.shape[0],i.shape[1],i.shape[2]]),c=!0);let u={x:l,filter:o},h={strides:n,pad:r,dilations:a},d= $ .runKernel(fu,u,h);return c?H(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Yf=D({dilation2d_:wN});function bN(e,t){let n=e.length,r=[];for(let a=0;a<n;a++){let s=n-1-a,i=e[s]||1;(t[t.length-1-a]||1)>1&&i===1&&r.unshift(s)}return r}function Lt(e,t){let n=[];for(let r=0;r<t.length;r++){let a=e[e.length-r-1],s=t.length-r-1,i=t[s];(a==null||a===1&&i>1)&&n.unshift(s)}return n}function At(e,t){let n=[],r=Math.max(e.length,t.length);for(let a=0;a<r;a++){let s=e[e.length-a-1];s==null&&(s=1);let i=t[t.length-a-1];if(i==null&&(i=1),s===1)n.unshift(i);else if(i===1)n.unshift(s);else if(s!==i){let o= ` Operands could not be broadcast together with shapes $ { e } and $ { t } . ` ;throw Error(o)}else n.unshift(s)}return n}function _N(e,t){let n=E(e,"a","equal"),r=E(t,"b","equal");[n,r]=_t(n,r),At(n.shape,r.shape);let a={a:n,b:r};return $ .runKernel(co,a)}var Da=D({equal_:_N});function vN(e,t,n){let r=E(t,"a","where"),a=E(n,"b","where"),s=E(e,"condition","where","bool"),i=At(r.shape,a.shape),o=Vu(r,i),l=Vu(a,i);s.rank===1&&M(s.shape[0]===r.shape[0],()=>"The first dimension of ` a ` must match the size of ` condition ` ."),s.rank!==1&&an(s.shape,l.shape,"Error in where: ");let c={condition:s,t:o,e:l};return $ .runKernel(zo,c)}var vn=D({where_:vN});function kN(e){let t={x:E(e,"x","zerosLike")};return $ .runKernel(Xo,t)}var He=D({zerosLike_:kN});function IN(e,t){let n=E(e,"a","div"),r=E(t,"b","div");[n,r]=_t(n,r);let a=xe(n,r),s=He(a),i=Da(r,s);return vn(i,s,a)}var Jf=D({divNoNan_:IN});function NN(e,t){let n=E(e,"t1","dot"),r=E(t,"t2","dot");M((n.rank===1||n.rank===2)&&(r.rank===1||r.rank===2),()=> ` Error in dot : inputs must all be rank 1 or 2 , but got ranks $ { n . rank } and $ { r . rank } . ` );let a=n.rank===1?n.size:n.shape[1],s=r.rank===1?r.size:r.shape[0];if(M(a===s,()=> ` Error in dot : inner dimensions of inputs must match , but got $ { a } and $ { s } . ` ),n.rank===1&&r.rank===1){let i=H(n,[1,-1]),o=H(r,[-1,1]),l=Xe(i,o);return H(l,[])}else if(n.rank===1&&r.rank===2){let i=H(n,[1,-1]),o=H(r,[r.shape[0],r.shape[1]]),l=Xe(i,o);return H(l,[l.size])}else if(n.rank===2&&r.rank===1){let i=H(r,[-1,1]),o=Xe(n,i);return H(o,[o.size])}else{let i=H(r,[r.shape[0],r.shape[1]]);return Xe(n,i)}}var sx=D({dot_:NN});function SN(e){let t={x:E(e,"x","elu")};return $ .runKernel(lo,t)}var cl=D({elu_:SN});function TN(e){let t=E(e,"x","erf");M(t.dtype==="int32"||t.dtype==="float32",()=>"Input dtype must be ` int32 ` or ` float32 ` ."),t.dtype=
rank $ { s . rank } . ` ),M(Ht(t),()=> ` Error in localResponseNormalization : depthRadius must be an integer but got depthRadius $ { t } . ` );let i=s,o=!1;s.rank===3&&(o=!0,i=H(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let l={x:i},c={depthRadius:t,bias:n,alpha:r,beta:a},u= $ .runKernel(gu,l,c);return o?H(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var nm=D({localResponseNormalization_:HN});function GN(e){let t={x:E(e,"x","log")};return $ .runKernel(Ns,t)}var Mn=D({log_:GN});function qN(e){let t={x:E(e,"x","log1p")};return $ .runKernel(vo,t)}var bd=D({log1p_:qN});function XN(e){return M(ka(e),()=>"The f passed in grad(f) must be a function"),(t,n)=>{let r=E(t,"x","tf.grad","string_or_numeric"),a=n!=null?E(n,"dy","tf.grad"):null;return $ .tidy(()=>{let{value:s,grads:i}= $ .gradients(()=>e(r),[r],a);return a!=null&&an(s.shape,a.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),_d(i),i[0]})}}function KN(e){return M(ka(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 r=Du(t,"args","tf.grads","string_or_numeric"),a=n!=null?E(n,"dy","tf.grads"):null;return $ .tidy(()=>{let{value:s,grads:i}= $ .gradients(()=>e(...r),r,a);return a!=null&&an(s.shape,a.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),_d(i),i})}}function ZN(e){return M(ka(e),()=>"The f passed in valueAndGrad(f) must be a function"),(t,n)=>{M(t instanceof je,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),M(n==null||n instanceof je,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:r,value:a}= $ .gradients(()=>e(t),[t],n);return _d(r),{grad:r[0],value:a}}}function YN(e){return M(ka(e),()=>"The f passed in valueAndGrads(f) must be a function"),(t,n)=>{M(Array.isArray(t)&&t.every(a=>a instanceof je),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),M(n==null||n instanceof je,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let r= $ .gradients(()=>e(...t),t,n);return n!=null&&an(r.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),_d(r.grads),r}}function cx(e,t){M(ka(e),()=>"The f passed in variableGrads(f) must be a function"),M(t==null||Array.isArray(t)&&t.every(c=>c instanceof Mu),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let n=t!=null;if(!n){t=[];for(let c in $ .registeredVariables)t.push( $ .registeredVariables[c])}let r=n?t.filter(c=>!c.trainable):null,a=t.length;t=t.filter(c=>c.trainable),M(t.length>0,()=> ` variableGrads ( ) expects at least one of the input variables to be trainable , but none of the $ { a } variables is trainable . ` );let s=!0,{value:i,grads:o}= $ .gradients(e,t,null,s);M(o.some(c=>c!=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(i.rank===0,()=> ` The f passed in variableGrads ( f ) must return a scalar , but it returned a rank - $ { i . rank } tensor ` );let l={};return t.forEach((c,u)=>{o[u]!=null&&(l[c.name]=o[u])}),r!=null&&r.forEach(c=>l[c.name]=null),{value:i,grads:l}}function Dr(e){return $ .customGrad(e)}function _d(e){if(e.filter(t=>t==null).length>0)throw new Error( ` Cannot compute gradient of y = f ( x ) with respect to x . Make sure that
the f you passed encloses all operations that lead from x to y . ` )}function JN(e){let t={x:E(e,"x","neg")};return $ .runKernel(No,t)}var vt=D({neg_:JN});function QN(e){let t={x:E(e,"x","softplus")};return $ .runKernel(Vo,t)}var dl=D({softplus_:QN});function eS(e){let t=E(e,"x","logSigmoid");return Dr(n=>({value:vt(dl(vt(n))),gradFunc:r=>O(r,Rn(vt(n)))}))(t)}var hx=D({logSigmoid_:eS});function tS(e,t=null,n=!1){let r={x:E(e,"x","max")},a={reductionIndices:t,keepDims:n};return $ .runKernel(Ss,r,a)}var Xn=D({max_:tS});function nS(e,t){let n=E(e,"a","sub"),r=E(t,"b","sub");[n,r]=_t(n,r);let a={a:n,b:r};return $ .runKernel(Zs,a)}var ge=D({sub_:nS});function rS(e,t=null,n=!1){let r=E(e,"x","sum");r.dtype==="bool"&&(r=Ae(r,"int32"));let a={x:r},s={axis:t,keepDims:n};return $ .runKernel(qs,a,s)}var Ce=D({sum_:rS});function aS(e,t=-1){let n=E(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 Dr((r,a)=>{let s=!0,i=Xn(r,t,!0),o=ge(r,i),l=ge(Ae(o,"float32"),Mn(Ce(qn(o),t,s)));return a([l]),{value:l,gradFunc:(c,u)=>{let[h]=u,d=!0,p=qn(h);return ge(c,O(Ce(c,t,d),p))}}})(n)}var vd=D({logSoftmax_:aS});function rm(e,t){for(let n=0;n<e.length;++n)if(e[e.length-n-1]!==t-1-n)return!1;return!0}function dx(e,t,n){let r=e.length+t.length,a=[],s=0,i=0;for(let o=0;o<r;o++)n.indexOf(o)===-1?a.push(e[s++]):a.push(t[i++]);return a}function px(e,t){let n=[],r=e.length;for(let s=0;s<r;s++)t.indexOf(s)===-1&&n.push(e[s]);let a=t.map(s=>e[s]);return[n,a]}function hi(e,t){let n=t.map(r=>1);return dx(e,n,t)}function sS(e,t,n){M(rm(t,n),()=> ` $ { e } supports only inner - most axes for now . Got axes $ { t } and rank - $ { n } input . ` )}function fx(e,t){if(rm(e,t))return null;let n=[];for(let r=0;r<t;++r)e.indexOf(r)===-1&&n.push(r);return e.forEach(r=>n.push(r)),n}function am(e){return e.map((t,n)=>[n,t]).sort((t,n)=>t[1]-n[1]).map(t=>t[0])}function iS(e,t){let n=[];for(let r=t-e;r<t;++r)n.push(r);return n}function oS(e,t=null,n=!1){let r=E(e,"x","logSumExp"),a=nr(t,r.shape),s=Xn(r,a,!0),i=ge(r,s),o=qn(i),l=Ce(o,a),c=Mn(l),u=se(H(s,c.shape),c);if(n){let h=hi(u.shape,a);return H(u,h)}return u}var sm=D({logSumExp_:oS});function lS(e,t){let n=E(e,"a","logicalAnd","bool"),r=E(t,"b","logicalAnd","bool");At(n.shape,r.shape);let a={a:n,b:r};return $ .runKernel(ko,a)}var sr=D({logicalAnd_:lS});function uS(e){let t={x:E(e,"x","logicalNot","bool")};return $ .runKernel(Au,t)}var Gu=D({logicalNot_:uS});function cS(e,t){let n=E(e,"a","logicalOr","bool"),r=E(t,"b","logicalOr","bool");At(n.shape,r.shape);let a={a:n,b:r};return $ .runKernel(yu,a)}var kd=D({logicalOr_:cS});function hS(e,t){let n=E(e,"a","logicalXor","bool"),r=E(t,"b","logicalXor","bool");return At(n.shape,r.shape),sr(kd(e,t),Gu(sr(e,t)))}var mx=D({logicalXor_:hS});function dS(e,t,n,r,a){let s=E(e,"x","maxPool"),i=1,o=s,l=!1;s.rank===3&&(l=!0,o=H(s,[1,s.shape[0],s.shape[1],s.shape[2]])),M(o.rank===4,()=> ` Error in maxPool : input must be rank 4 but got rank $ { o . rank } . ` ),M( $ r(n,i),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { n } and dilations '${i}' ` ),a!=null&&M(Ht(r),()=> ` Error in maxPool : pad must be an integer when using , dimRoundingMode $ { a } but got pad $ { r } . ` );let c={x:o},u={filterSize:t,strides:n,pad:r,dimRoundingMode:a},h= $ .runKernel(Cs,c,u);return l?H(h,[h.shape[1],h.shape[2],h.shape[3]]):h}var qu=D({maxPool_:dS});function pS(e,t=[1,1,1],n,r,a,s="NDHWC"){let i=E(e,"x","maxPool3d"),o=i,l=!1;i.rank===4&&(l=!0,o=H(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),M(o.rank===5,()=> ` Error in maxPool3d : x must be rank 5 but got rank $ { o . rank } . ` ),M(s==="NDHWC",()=> ` Error in maxPool3d : Only NDHWC is currently supported , but got dataFormat of $ { s } ` ),a!=null&&M(Ht(r),()=> ` Error in maxPool3d : pad must be an integer when using , dimRoundingMode $ { a } but got pad $ { r } . ` );let c={x:o},u={filterSize:t,strides:n,pad:r,dimRoundingMode:a,dataFormat:s},h= $ .runKernel(xu,c,u);return l?H(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}var im=D({maxPool3d_:pS});function fS(e
$ { s } ) . ` );if(n<r)throw new Error( ` batchDims ( $ { r } ) must be less than or equal to axis ( $ { n } ) . ` );for(let h=0;h<r;++h)if(e.shape[h]!==t.shape[h])throw new Error( ` x . shape [ $ { h } ] : $ { e . shape [ h ] } should be equal to indices . shape [ $ { h } ] : $ { t . shape [ h ] } . ` );let i=e.shape[n],o=[],l=1,c=1,u=1;for(let h=0;h<r;++h)o.push(e.shape[h]),l*=e.shape[h];for(let h=r;h<n;h++)o.push(e.shape[h]),c*=e.shape[h];for(let h=r;h<a;h++)o.push(t.shape[h]);for(let h=n+1;h<s;h++)o.push(e.shape[h]),u*=e.shape[h];return{batchSize:l,sliceSize:u,outerSize:c,dimSize:i,outputShape:o}}function ZE(e){try{return e.map(t=>ad(t))}catch(t){throw new Error( ` Failed to decode encoded string bytes into utf - 8 , error : $ { t } ` )}}function YE(e){return e.map(t=>Tu(t))}var Lr={};ze(Lr,{nonMaxSuppressionV3Impl:()=>Mx,nonMaxSuppressionV4Impl:()=>Fx,nonMaxSuppressionV5Impl:()=> $ x,whereImpl:()=>_x});function _e(e,t){Array.isArray(e)||(e=[e]),e.forEach(n=>{n!=null&&v.assert(n.dtype!=="complex64",()=> ` $ { t } does not support complex64 tensors in the CPU backend . ` )})}var tR=Lr.whereImpl,Yd=class extends iu{constructor(){super();this.blockSize=48,this.firstUse=!0,this.data=new wh(this,Fr())}nextDataId(){return Yd.nextDataId++}write(e,t,n){this.firstUse&&(this.firstUse=!1,J().get("IS_NODE")&&R.warn( `
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=== === === === === === === === === =
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.
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=== === === === === === === === === = ` ));let r={id:this.nextDataId()};return this.data.set(r,{values:e,dtype:n,refCount:1}),r}makeTensorInfo(e,t,n){let r;if(t==="string"&&n!=null&&n.length>0&&v.isString(n[0])){let a=n.map(s=>v.encodeString(s));r=this.write(a,e,t)}else r=this.write(n,e,t);return{dataId:r,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,r,a){this.data.set(e,{values:t,dtype:r,refCount:a})}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 r=this.readSync(n.real.dataId),a=this.readSync(n.imag.dataId);return R.mergeRealAndImagArrays(r,a)}return this.data.get(e).values}bufferSync(e){let t=this.readSync(e.dataId),n=t;if(e.dtype==="string")try{n=t.map(r=>v.decodeString(r))}catch(r){throw new Error("Failed to decode encoded string bytes into utf-8")}return We(e.shape,e.dtype,n)}makeOutput(e,t,n){let r=this.write(e,t,n);return Fr().makeTensorFromDataId(r,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=v.now();return e(),{kernelMs:v.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){_e([e],"where");let t=this.readSync(e.dataId);return tR(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};Yd.nextDataId=0;var Nm={};ze(Nm,{addImpl:()=>jx,bincountImpl:()=>Sm,bincountReduceImpl:()=>Hx,ceilImpl:()=>Gx,concatImpl:()=>Tm,expImpl:()=>qx,expm1Impl:()=>Xx,floorImpl:()=>Kx,gatherV2Impl:()=>Zx,greaterImpl:()=>Yx,lessImpl:()=>Jx,linSpaceImpl:()=>Qx,logImpl:()=>ew,maxImpl:()=>tw,maximumImpl:()=>nw,minimumImpl:()=>rw,multiplyImpl:()=>Cm,negImpl:()=>aw,notEqualImpl:()=>sw,prodImpl:()=>iw,rangeImpl:()=>Rm,rsqrtImpl:()=>ow,simpleAbsImpl:()=>Ux,sliceImpl:()=>Jd,squaredDifferenceImpl:()=>lw,stridedSliceImpl:()=>uw,subImpl:()=>cw,tileImpl:()=>hw,topKImpl:()=>dw,transposeImpl:()=>Em,uniqueImpl:()=>pw});function Ux(e){let t=new Float32Array(e.length);for(let n=0;n<e.length;++n)t[n]=Math.abs(e[n]);return t}var nR=e=>{let{x:t}=e.inputs,n=e.backend;_e(t,"abs");let r=new Float32Array(v.sizeFromShape(t.shape)),a=n.data.get(t.dataId).values;return r=Ux(a),n.makeOutput(r,t.shape,"float32")},rR={kernelName:Zi,backendName:"cpu",kernelFunc:nR};function Ft(e){return(t,n,r,a,s)=>{let i=R.assertAndGetBroadcastShape(t,n),o=i.length,l=v.computeStrides(i),c=v.sizeFromShape(i),u=v.getTypedArrayFromDType(s,c),h=t.length,d=n.length,p=v.computeStrides(t),f=v.computeStrides(n),m=R.getBroadcastDims(t,i),A=R.getBroadcastDims(n,i);if(m.length+A.length===0)for(let y=0;y<u.length;++y)u[y]=e(r[y%r.length],a[y%a.length]);else for(let y=0;y<u.length;++y){let g=v.indexToLoc(y,o,l),w=g.slice(-h);m.forEach(N=>w[N]=0);let b=v.locToIndex(w,h,p),_=g.slice(-d);A.forEach(N=>_[N]=0);let x=v.locToIndex(_,d,f);u[y]=e(r[b],a[x])}return[u,i]}}function Dn(e){let{inputs:t,backend:n}=e,{real:r,imag:a}=t,s=n.data.get(r.dataId).values,i=n.data.get(a.dataId).values,o=n.makeTensorInfo(r.shape,"complex64"),l=n.data.get(o.dataId);return l.complexTensorInfos={real:n.makeTensorInfo(r.shape,"float32",s),imag:n.makeTensorInfo(a.shape,"float32",i)},o}var aR={kernelName:Ch,backendName:"cpu",kernelFunc:Dn};function Qd(e,t,n="float32"){if(n==="complex64"){let a=Qd(e,t,"float32"),s=Qd(e,t,"float32");return Dn({inputs:{real:a,imag:s},backend:e})}let r=v.makeZerosTypedArray(v.sizeFromShape(t),n);return e.makeTensorInfo(t,n,r)}function Wr(e){let{inputs:t,backend:n}=e,{x:r}=t;return n.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}var sR={kernelName:ks,backendName:"cp
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` ),s=a.length.toString().length+2,i=a.map((h,d)=>v.rightPad((d+1).toString(),s)+h),o=0;for(let h=0;h<i.length;h++)o=Math.max(i[h].length,o);let l=i.slice(0,r-1),c=i.slice(r-1,r),u=i.slice(r);console.log(l.join( `
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` )),console.log(t.split( `
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` )[0]),console.log( ` % c $ { v . rightPad ( c [ 0 ] , o ) } ` ,"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(u.join( `
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` ))}function Bw(e){return oa(e,()=>e.createProgram(),"Unable to create WebGLProgram.")}function Vw(e,t){if(we(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 rp(e,t){if(we(e,()=>e.validateProgram(t)),e.getProgramParameter(t,e.VALIDATE_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function Uw(e,t){let n=oa(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return we(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),we(e,()=>e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function jw(e,t){let n=oa(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return we(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)),we(e,()=>e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function WO(){return J().getNumber("WEBGL_VERSION")===2?1:4}function Hw(e){return oa(e,()=>e.createTexture(),"Unable to create WebGLTexture.")}function Gw(e,t){let n=J().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0){let r= ` [ $ { e } x$ { t } ] ` ;throw new Error("Requested texture size "+r+" is invalid.")}if(e>n||t>n){let r= ` [ $ { e } x$ { t } ] ` ,a= ` [ $ { n } x$ { n } ] ` ;throw new Error("Requested texture size "+r+" greater than WebGL maximum on this browser / GPU "+a+".")}}function qw(e){return oa(e,()=>e.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function Bm(e,t,n,r,a,s,i){let o=e.getAttribLocation(t,n);return o===-1?!1:(we(e,()=>e.bindBuffer(e.ARRAY_BUFFER,r)),we(e,()=>e.vertexAttribPointer(o,a,e.FLOAT,!1,s,i)),we(e,()=>e.enableVertexAttribArray(o)),!0)}function Xw(e,t,n){ib(e,n),we(e,()=>e.activeTexture(e.TEXTURE0+n)),we(e,()=>e.bindTexture(e.TEXTURE_2D,t))}function BO(e,t){ib(e,t),we(e,()=>e.activeTexture(e.TEXTURE0+t)),we(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function Kw(e,t,n){return oa(e,()=>e.getUniformLocation(t,n),'uniform "'+n+'" not present in program.')}function Zw(e,t,n){return e.getUniformLocation(t,n)}function Yw(e,t,n,r){we(e,()=>Xw(e,t,r)),we(e,()=>e.uniform1i(n,r))}function VO(e){we(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),we(e,()=>e.viewport(0,0,e.canvas.width,e.canvas.height)),we(e,()=>e.scissor(0,0,e.canvas.width,e.canvas.height))}function ap(e,t,n){we(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,n)),we(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0))}function Vm(e,t){we(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,t)),we(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0))}function sc(e){let t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+Jw(e,t))}function Jw(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 oa(e,t,n){let r=we(e,()=>t());if(r==null)throw new Error(n);return r}function ib(e,t){let n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,r=t+e.TEXTURE0;if(r<e.TEXTURE0||r>n){let a= ` [ gl . TEXTURE0 , gl . TEXTURE$ { n } ] ` ;throw new Error( ` textureUnit must be in $ { a } . ` )}}function yi(e,t=2){return v.sizeFromShape(e.slice(0,e.length-t))}function gi(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 sp(e){let t=[1,1,1];return e.length===0||e.length===1&&e[0]===1||(t=[yi(e),...gi(e)]),t}function Qw(e,t=!1){let n=J().getNumber("WEBGL_MAX_TEXTURE_SIZE");t&&(n=n*2,e=e.map((a,s)=>s>=e.length-2?v.nearestLargerEven(e[s]):e[s]),e.length===1&&(e=[2,e[0]])),e.length!==2&&(e=v.squeezeShape(e).newShape);let r=v.sizeFromShape(e);if(e.length<=1&&r<=n)return[1,r];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]
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bool isnan _custom ( float val ) {
return ( val > 0.0 || val < 0.0 ) ? false : val != 0.0 ;
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}
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bvec4 isnan _custom ( vec4 val ) {
return bvec4 ( isnan _custom ( val . x ) ,
isnan _custom ( val . y ) , isnan _custom ( val . z ) , isnan _custom ( val . w ) ) ;
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}
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# define isnan ( value ) isnan _custom ( value )
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` ,l="",c= `
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# define round ( value ) newRound ( value )
int newRound ( float value ) {
return int ( floor ( value + 0.5 ) ) ;
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}
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ivec4 newRound ( vec4 value ) {
return ivec4 ( floor ( value + vec4 ( 0.5 ) ) ) ;
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}
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` ):(e="",t="attribute",n="varying",r="varying",a="texture2D",s="gl_FragColor",i="",o= `
# define isnan ( value ) isnan _custom ( value )
bool isnan _custom ( float val ) {
return ( val > 0. || val < 1. || val == 0. ) ? false : true ;
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}
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bvec4 isnan _custom ( vec4 val ) {
return bvec4 ( isnan ( val . x ) , isnan ( val . y ) , isnan ( val . z ) , isnan ( val . w ) ) ;
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}
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` ,l= `
uniform float INFINITY ;
bool isinf ( float val ) {
return abs ( val ) == INFINITY ;
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}
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bvec4 isinf ( vec4 val ) {
return equal ( abs ( val ) , vec4 ( INFINITY ) ) ;
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}
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` ,c= `
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int round ( float value ) {
return int ( floor ( value + 0.5 ) ) ;
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}
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ivec4 round ( vec4 value ) {
return ivec4 ( floor ( value + vec4 ( 0.5 ) ) ) ;
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}
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` ),{version:e,attribute:t,varyingVs:n,varyingFs:r,texture2D:a,output:s,defineOutput:i,defineSpecialNaN:o,defineSpecialInf:l,defineRound:c}}function wi(e,t,n="index"){let r=v.computeStrides(t);return r.map((a,s)=>{let i= ` int $ { e [ s ] } = $ { n } / $ { a } ` ,o=s===r.length-1? ` int $ { e [ s + 1 ] } = $ { n } - $ { e [ s ] } * $ { a } ` : ` index -= $ { e [ s ] } * $ { a } ` ;return ` $ { i } ; $ { o } ; ` }).join("")}function qm(e){let t=v.computeStrides(e).map(n=>n.toString());return `
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int getFlatIndex ( ivec3 coords ) {
return coords . x * $ { t [ 0 ] } + coords . y * $ { t [ 1 ] } + coords . z ;
}
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` }var ob= `
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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 ;
}
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` ,tz=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=oc.DENSE;let t=uc(e),n=pn();this.outputShape=e,this.userCode= `
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ivec3 outCoordsFromFlatIndex ( int index ) {
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$ { wi ( [ "r" , "c" , "d" ] , e ) }
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return ivec3 ( r , c , d ) ;
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}
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void main ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = 4 * ( resTexRC . x * $ { t [ 1 ] } + resTexRC . y ) ;
vec4 result = vec4 ( 0. ) ;
for ( int i = 0 ; i < 4 ; i ++ ) {
int flatIndex = index + i ;
ivec3 rc = outCoordsFromFlatIndex ( flatIndex ) ;
result [ i ] = getA ( rc . x , rc . y , rc . z ) ;
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}
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$ { n . output } = result ;
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}
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` }},nz=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=oc.DENSE;let t=uc(e),n=pn();this.outputShape=e,this.userCode= `
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ivec3 outCoordsFromFlatIndex ( int index ) {
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$ { wi ( [ "r" , "c" , "d" ] , e ) }
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return ivec3 ( r , c , d ) ;
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}
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void main ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = 4 * ( resTexRC . x * $ { t [ 1 ] } + resTexRC . y ) ;
vec4 result = vec4 ( 0. ) ;
for ( int i = 0 ; i < 4 ; i ++ ) {
int flatIndex = index + i ;
ivec3 rc = outCoordsFromFlatIndex ( flatIndex ) ;
result [ i ] = getChannel ( getA ( rc . x , rc . y , rc . z ) , vec2 ( rc . y , rc . z ) ) ;
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}
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$ { n . output } = result ;
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}
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` }},rz=class{constructor(e){this.variableNames=["A"],this.outTexUsage=Zn.DOWNLOAD;let t=pn();this.outputShape=e,this.userCode= `
$ { ob }
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void main ( ) {
float x = getAAtOutCoords ( ) ;
$ { t . output } = encode _float ( x ) ;
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}
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` }},az=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Zn.DOWNLOAD;let t=pn();this.outputShape=e,this.userCode= `
$ { ob }
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
float x = getChannel ( getAAtOutCoords ( ) , vec2 ( coords . y , coords . z ) ) ;
$ { t . output } = encode _float ( x ) ;
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}
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` }},sz=class{constructor(e,t,n=!1){this.variableNames=["A"];let r=pn(),[a,s]=t;this.outputShape=e;let i="result";n&&(i="floor(result * 255. + 0.5)"),this.userCode= `
$ { qm ( e ) }
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
int flatIndex = getFlatIndex ( coords ) ;
int offset = imod ( flatIndex , 4 ) ;
flatIndex = idiv ( flatIndex , 4 , 1. ) ;
int r = flatIndex / $ { s } ;
int c = imod ( flatIndex , $ { s } ) ;
vec2 uv = ( vec2 ( c , r ) + halfCR ) / vec2 ( $ { s } . 0 , $ { a } . 0 ) ;
vec4 values = $ { r . 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 ] ;
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} else {
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result = values [ 3 ] ;
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}
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$ { r . output } = vec4 ( $ { i } , 0. , 0. , 0. ) ;
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}
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` }},iz=class{constructor(e,t,n=!1){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let r=pn(),[a,s]=t;this.outputShape=e;let i="",o="result";n&&(o="floor(result * 255. + 0.5)");for(let l=0;l<=1;l++)for(let c=0;c<=1;c++){let u=l*2+c;i+= `
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localCoords = coords ;
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if ( localCoords [ 2 ] + $ { c } < $ { e [ 2 ] } ) {
localCoords [ 2 ] += $ { c } ;
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if ( localCoords [ 1 ] + $ { l } < $ { e [ 1 ] } ) {
localCoords [ 1 ] += $ { l } ;
flatIndex = getFlatIndex ( localCoords ) ;
offset = imod ( flatIndex , 4 ) ;
flatIndex = idiv ( flatIndex , 4 , 1. ) ;
r = flatIndex / $ { s } ;
c = imod ( flatIndex , $ { s } ) ;
uv = ( vec2 ( c , r ) + halfCR ) / vec2 ( $ { s } . 0 , $ { a } . 0 ) ;
values = $ { r . texture2D } ( A , uv ) ;
if ( offset == 0 ) {
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result [ $ { u } ] = values [ 0 ] ;
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} else if ( offset == 1 ) {
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result [ $ { u } ] = values [ 1 ] ;
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} else if ( offset == 2 ) {
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result [ $ { u } ] = values [ 2 ] ;
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} else {
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result [ $ { u } ] = values [ 3 ] ;
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}
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}
}
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` }this.userCode= `
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$ { qm ( e ) }
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
int flatIndex , r , c , offset ;
ivec3 localCoords ;
vec2 uv ;
vec4 values ;
$ { i }
$ { r . output } = $ { o } ;
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}
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` }},lb={};ze(lb,{bindVertexProgramAttributeStreams:()=>yb,createBufferFromOutputTexture:()=>wb,createFloat16MatrixTexture:()=>pb,createFloat16PackedMatrixTexture:()=>Ab,createFloat32MatrixTexture:()=>db,createIndexBuffer:()=>hb,createPackedMatrixTexture:()=>mb,createUnsignedBytesMatrixTexture:()=>fb,createVertexBuffer:()=>cb,createVertexShader:()=>ub,downloadByteEncodedFloatMatrixFromOutputTexture:()=>_b,downloadFloat32MatrixFromBuffer:()=>bb,downloadMatrixFromPackedOutputTexture:()=>kb,downloadPackedMatrixFromBuffer:()=>vb,getInternalFormatForFloat16MatrixTexture:()=>Km,getInternalFormatForFloat16PackedMatrixTexture:()=>Jm,getInternalFormatForFloat32MatrixTexture:()=>Xm,getInternalFormatForPackedMatrixTexture:()=>Ym,getInternalFormatForUnsignedBytesMatrixTexture:()=>Zm,uploadDenseMatrixToTexture:()=>gb,uploadPixelDataToTexture:()=>xb});function ub(e){let t=pn(),n= ` $ { t . version }
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precision highp float ;
$ { t . attribute } vec3 clipSpacePos ;
$ { t . attribute } vec2 uv ;
$ { t . varyingVs } vec2 resultUV ;
void main ( ) {
gl _Position = vec4 ( clipSpacePos , 1 ) ;
resultUV = uv ;
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} ` ;return Lw(e,n)}function cb(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 Uw(e,t)}function hb(e){let t=new Uint16Array([0,1,2,2,1,3]);return jw(e,t)}function cc(e,t,n,r,a,s){Gw(t,n);let i=Hw(e),o=e.TEXTURE_2D;return we(e,()=>e.bindTexture(o,i)),we(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)),we(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)),we(e,()=>e.texParameteri(o,e.TEXTURE_MIN_FILTER,e.NEAREST)),we(e,()=>e.texParameteri(o,e.TEXTURE_MAG_FILTER,e.NEAREST)),we(e,()=>e.texImage2D(o,0,r,t,n,0,a,s,null)),we(e,()=>e.bindTexture(e.TEXTURE_2D,null)),i}function Xm(e){return e.internalFormatFloat}function db(e,t,n,r){let[a,s]=lc(t,n);return cc(e,a,s,Xm(r),r.textureFormatFloat,e.FLOAT)}function Km(e){return e.internalFormatHalfFloat}function pb(e,t,n,r){let[a,s]=lc(t,n);return cc(e,a,s,Km(r),r.textureFormatFloat,r.textureTypeHalfFloat)}function Zm(e){return e.downloadTextureFormat}function fb(e,t,n,r){let[a,s]=lc(t,n);return cc(e,a,s,Zm(r),e.RGBA,e.UNSIGNED_BYTE)}function Ym(e){return e.internalFormatPackedFloat}function mb(e,t,n,r){let[a,s]=kl(t,n);return cc(e,a,s,Ym(r),e.RGBA,e.FLOAT)}function Jm(e){return e.internalFormatPackedHalfFloat}function Ab(e,t,n,r){let[a,s]=kl(t,n);return cc(e,a,s,Jm(r),e.RGBA,r.textureTypeHalfFloat)}function yb(e,t,n){let r=0,a=3*4,s=3*4+2*4;return we(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),Bm(e,t,"clipSpacePos",n,3,s,r)&&Bm(e,t,"uv",n,2,s,a)}function gb(e,t,n,r,a,s){we(e,()=>e.bindTexture(e.TEXTURE_2D,t));let i,o,l;a instanceof Uint8Array?(i=new Uint8Array(n*r*4),o=e.UNSIGNED_BYTE,l=e.RGBA):(i=new Float32Array(n*r*4),o=e.FLOAT,l=s.internalFormatPackedFloat),i.set(a),we(e,()=>e.texImage2D(e.TEXTURE_2D,0,l,n,r,0,e.RGBA,o,i)),we(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function xb(e,t,n){we(e,()=>e.bindTexture(e.TEXTURE_2D,t)),n.data instanceof Uint8Array?we(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)):we(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)),we(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function wb(e,t,n,r){let a=e.createBuffer();we(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,a));let s=4*4*t*n;return we(e,()=>e.bufferData(e.PIXEL_PACK_BUFFER,s,e.STREAM_READ)),we(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)),we(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null)),a}function bb(e,t,n){let r=e,a=new Float32Array(n);return r.bindBuffer(r.PIXEL_PACK_BUFFER,t),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,a),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),a}function _b(e,t,n,r){let[a,s]=lc(t,n),i=4,o=new Uint8Array(qO(t*n,i));return we(e,()=>e.readPixels(0,0,a,s,r.downloadTextureFormat,e.UNSIGNED_BYTE,o)),new Float32Array(o.buffer)}function vb(e,t,n,r,a,s,i,o){let l=e,c=new Float32Array(XO(s,i));return l.bindBuffer(l.PIXEL_PACK_BUFFER,t),l.getBufferSubData(l.PIXEL_PACK_BUFFER,0,c),l.bindBuffer(l.PIXEL_PACK_BUFFER,null),c}function kb(e,t,n){let r=new Float32Array(t*n*4);return we(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,r)),r}var cp=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let t=J().getNumber("WEBGL_VERSION");e!=null?(this.gl=e,ip(t,e)):this.gl=Br(t);let n="WEBGL_color_buffer_float",r="EXT_color_buffer_half_float";if(J().getNumber("WEBGL_VERSION")===1){let a="OES_texture_float",s="OES_texture_half_float";if(this.textureFloatExtension=ac(this.gl,a),Kn(this.gl,s))this.textureHalfFloatExtension=ac(this.gl,s);else if(J().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),Kn(this.gl,r))this.colorBufferHalfFloatExtension=ac(this.gl,r);else if(J().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",Kn(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(Kn(this.gl,r))this.
` ),i=e.map(p=>lz(p,t,r)).join( `
` ),o=t.texShape,l=pn(),c=hz(l),u,h,d=fz(l);return t.isPacked?(u=uz(t.logicalShape,o),h=pz(l)):(u=cz(t.logicalShape,o),h=dz(l)),r&&(d+=mz),[d,c,h,s,u,i,n].join( `
` )}function Il(e){let t=e.shapeInfo.logicalShape;switch(t.length){case 0:return yz(e);case 1:return gz(e);case 2:return xz(e);case 3:return wz(e);case 4:return bz(e);case 5:return _z(e);case 6:return vz(e);default:throw new Error( ` $ { t . length } - D input sampling is not yet supported ` )}}function Nb(e){switch(e.shapeInfo.logicalShape.length){case 0:return kz(e);case 1:return Iz(e);case 2:return Nz(e);case 3:return Sz(e);default:return Tz(e)}}function lz(e,t,n=!1){let r="";n?r+=Nb(e):r+=Il(e);let a=e.shapeInfo.logicalShape,s=t.logicalShape;return a.length<=s.length&&(n?r+=Cz(e,t):r+=Ez(e,t)),r}function uz(e,t){switch(e.length){case 0:return Sb();case 1:return Rz(e,t);case 2:return $ z(e,t);case 3:return Mz(e,t);default:return Fz(e,t)}}function cz(e,t){switch(e.length){case 0:return Sb();case 1:return Dz(e,t);case 2:return Wz(e,t);case 3:return Oz(e,t);case 4:return zz(e,t);case 5:return Pz(e,t);case 6:return Lz(e,t);default:throw new Error( ` $ { e . length } - D output sampling is not yet supported ` )}}function hz(e){return `
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float sampleTexture ( sampler2D textureSampler , vec2 uv ) {
return $ { e . texture2D } ( textureSampler , uv ) . r ;
}
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` }function dz(e){return `
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void setOutput ( float val ) {
$ { e . output } = vec4 ( val , 0 , 0 , 0 ) ;
}
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` }function pz(e){return `
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void setOutput ( vec4 val ) {
$ { e . output } = val ;
}
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` }function fz(e){return ` $ { e . version }
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precision highp float ;
precision highp int ;
precision highp sampler2D ;
$ { e . varyingFs } vec2 resultUV ;
$ { e . defineOutput }
const vec2 halfCR = vec2 ( 0.5 , 0.5 ) ;
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 ) ;
}
int idiv ( int a , int b , float sign ) {
int res = a / b ;
int mod = imod ( a , b ) ;
if ( sign < 0. && mod != 0 ) {
res -= 1 ;
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}
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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 ) ;
}
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$ { Bz }
$ { Vz }
$ { Uz }
` }var Bz= `
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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 ) ;
}
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` ,Vz= `
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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 ) ;
}
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` ,Uz= `
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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 ) ;
}
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` ,mz= `
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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 ;
}
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` ;function Sb(){return `
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int getOutputCoords ( ) {
return 0 ;
}
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` }function Rz(e,t){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return n[0]===1? `
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int getOutputCoords ( ) {
return 2 * int ( resultUV . x * $ { n [ 1 ] } . 0 ) ;
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}
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` :n[1]===1? `
int getOutputCoords ( ) {
return 2 * int ( resultUV . y * $ { n [ 0 ] } . 0 ) ;
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}
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` : `
int getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
return 2 * ( resTexRC . x * $ { n [ 1 ] } + resTexRC . y ) ;
}
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` }function Dz(e,t){return t[0]===1? `
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int getOutputCoords ( ) {
return int ( resultUV . x * $ { t [ 1 ] } . 0 ) ;
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}
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` :t[1]===1? `
int getOutputCoords ( ) {
return int ( resultUV . y * $ { t [ 0 ] } . 0 ) ;
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}
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` : `
int getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
return resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
}
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` }function Mz(e,t){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[2]/2),a=r*Math.ceil(e[1]/2);return `
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ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
int index = resTexRC . x * $ { n [ 1 ] } + resTexRC . y ;
int b = index / $ { a } ;
index -= b * $ { a } ;
int r = 2 * ( index / $ { r } ) ;
int c = imod ( index , $ { r } ) * 2 ;
return ivec3 ( b , r , c ) ;
}
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` }function Oz(e,t){let n=wi(["r","c","d"],e);return `
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ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { n }
return ivec3 ( r , c , d ) ;
}
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` }function Fz(e,t){let n=[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),s=a,i="",o="b, r, c";for(let l=2;l<e.length-1;l++)s*=e[e.length-l-1],i= `
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int b$ { l } = index / $ { s } ;
index -= b$ { l } * $ { s } ;
` +i,o= ` b$ { l } , ` +o;return `
ivec$ { e . length } getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
int index = resTexRC . x * $ { n [ 1 ] } + resTexRC . y ;
$ { i }
int b = index / $ { a } ;
index -= b * $ { a } ;
int r = 2 * ( index / $ { r } ) ;
int c = imod ( index , $ { r } ) * 2 ;
return ivec$ { e . length } ( $ { o } ) ;
}
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` }function zz(e,t){let n=wi(["r","c","d","d2"],e);return `
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ivec4 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { n }
return ivec4 ( r , c , d , d2 ) ;
}
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` }function Pz(e,t){let n=wi(["r","c","d","d2","d3"],e);return `
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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 ;
}
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` }function Lz(e,t){let n=wi(["r","c","d","d2","d3","d4"],e);return `
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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 ;
}
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` }function $ z(e,t){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(v.arraysEqual(e,t))return `
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ivec2 getOutputCoords ( ) {
return 2 * ivec2 ( resultUV . yx * vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
}
` ;let r=Math.ceil(e[1]/2);return `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
int index = resTexRC . x * $ { n [ 1 ] } + resTexRC . y ;
int r = 2 * ( index / $ { r } ) ;
int c = imod ( index , $ { r } ) * 2 ;
return ivec2 ( r , c ) ;
}
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` }function Wz(e,t){return v.arraysEqual(e,t)? `
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ivec2 getOutputCoords ( ) {
return ivec2 ( resultUV . yx * vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
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}
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` :e[1]===1? `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
return ivec2 ( index , 0 ) ;
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}
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` :e[0]===1? `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
return ivec2 ( 0 , index ) ;
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}
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` : `
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 ) ;
}
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` }function bi(e){return ` offset$ { e } ` }function kz(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),r=pn();return `
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vec4 $ { n } ( ) {
return $ { r . texture2D } ( $ { t } , halfCR ) ;
}
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` }function yz(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);if(e.shapeInfo.isUniform)return ` float $ { n } ( ) { return $ { t } ; } ` ;let[r,a]=e.shapeInfo.texShape;if(r===1&&a===1)return `
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float $ { n } ( ) {
return sampleTexture ( $ { t } , halfCR ) ;
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}
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` ;let[s,i]=e.shapeInfo.texShape,o=bi(t);return `
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float $ { n } ( ) {
vec2 uv = uvFromFlat ( $ { s } , $ { i } , $ { o } ) ;
return sampleTexture ( $ { t } , uv ) ;
}
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` }function Iz(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),r=e.shapeInfo.texShape,a=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],s=pn();return `
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vec4 $ { n } ( int index ) {
vec2 uv = packedUVfrom1D (
$ { a [ 0 ] } , $ { a [ 1 ] } , index ) ;
return $ { s . texture2D } ( $ { t } , uv ) ;
}
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` }function gz(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);if(e.shapeInfo.isUniform)return `
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float $ { n } ( int index ) {
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$ { Nl ( e ) }
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}
` ;let r=e.shapeInfo.texShape,a=r[0],s=r[1];if(s===1&&a===1)return `
float $ { n } ( int index ) {
return sampleTexture ( $ { t } , halfCR ) ;
}
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` ;let i=bi(t);return s===1? `
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float $ { n } ( int index ) {
vec2 uv = vec2 ( 0.5 , ( float ( index + $ { i } ) + 0.5 ) / $ { a } . 0 ) ;
return sampleTexture ( $ { t } , uv ) ;
}
` :a===1? `
float $ { n } ( int index ) {
vec2 uv = vec2 ( ( float ( index + $ { i } ) + 0.5 ) / $ { s } . 0 , 0.5 ) ;
return sampleTexture ( $ { t } , uv ) ;
}
` : `
float $ { n } ( int index ) {
vec2 uv = uvFromFlat ( $ { a } , $ { s } , index + $ { i } ) ;
return sampleTexture ( $ { t } , uv ) ;
}
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` }function Nz(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape,s=a[0],i=a[1],o=pn();if(a!=null&&v.arraysEqual(t,a))return `
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vec4 $ { r } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { i } . 0 , $ { s } . 0 ) ;
return $ { o . texture2D } ( $ { n } , uv ) ;
}
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` ;let l=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],c=Math.ceil(t[1]/2);return `
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vec4 $ { r } ( int row , int col ) {
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vec2 uv = packedUVfrom2D ( $ { c } , $ { l [ 0 ] } , $ { l [ 1 ] } , row , col ) ;
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return $ { o . texture2D } ( $ { n } , uv ) ;
}
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` }function xz(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape;if(a!=null&&v.arraysEqual(t,a)){let h=a[0],d=a[1];return `
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float $ { r } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { d } . 0 , $ { h } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
}
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` }let{newShape:s,keptDims:i}=v.squeezeShape(t),o=s;if(o.length<t.length){let h=Sl(e,o),d=["row","col"];return `
$ { Il ( h ) }
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float $ { r } ( int row , int col ) {
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return $ { r } ( $ { Tl ( d , i ) } ) ;
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}
` }if(e.shapeInfo.isUniform)return `
float $ { r } ( int row , int col ) {
int index = round ( dot ( vec2 ( row , col ) , vec2 ( $ { t [ 1 ] } , 1 ) ) ) ;
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$ { Nl ( e ) }
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}
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` ;let l=a[0],c=a[1],u=bi(n);return c===1? `
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float $ { r } ( int row , int col ) {
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float index = dot ( vec3 ( row , col , $ { u } ) , vec3 ( $ { t [ 1 ] } , 1 , 1 ) ) ;
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vec2 uv = vec2 ( 0.5 , ( index + 0.5 ) / $ { l } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` :l===1? `
float $ { r } ( int row , int col ) {
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float index = dot ( vec3 ( row , col , $ { u } ) , vec3 ( $ { t [ 1 ] } , 1 , 1 ) ) ;
vec2 uv = vec2 ( ( index + 0.5 ) / $ { c } . 0 , 0.5 ) ;
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return sampleTexture ( $ { n } , uv ) ;
}
` : `
float $ { r } ( int row , int col ) {
// Explicitly use integer operations as dot() only works on floats.
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int index = row * $ { t [ 1 ] } + col + $ { u } ;
vec2 uv = uvFromFlat ( $ { l } , $ { c } , index ) ;
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return sampleTexture ( $ { n } , uv ) ;
}
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` }function Sz(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape,s=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)];if(t[0]===1){let h=t.slice(1),d=[1,2],p=Sl(e,h),f=["b","row","col"];return `
$ { Nb ( p ) }
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vec4 $ { r } ( int b , int row , int col ) {
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return $ { r } ( $ { Tl ( f , d ) } ) ;
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}
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` }let i=s[0],o=s[1],l=Math.ceil(t[2]/2),c=l*Math.ceil(t[1]/2),u=pn();return `
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vec4 $ { r } ( int b , int row , int col ) {
vec2 uv = packedUVfrom3D (
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$ { i } , $ { o } , $ { c } , $ { l } , b , row , col ) ;
return $ { u . texture2D } ( $ { n } , uv ) ;
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}
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` }function wz(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t[1]*t[2],s=t[2],{newShape:i,keptDims:o}=v.squeezeShape(t),l=i;if(l.length<t.length){let f=Sl(e,l),m=["row","col","depth"];return `
$ { Il ( f ) }
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float $ { r } ( int row , int col , int depth ) {
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return $ { r } ( $ { Tl ( m , o ) } ) ;
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}
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` }if(e.shapeInfo.isUniform)return `
float $ { r } ( int row , int col , int depth ) {
int index = round ( dot ( vec3 ( row , col , depth ) ,
vec3 ( $ { a } , $ { s } , 1 ) ) ) ;
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$ { Nl ( e ) }
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}
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` ;let c=e.shapeInfo.texShape,u=c[0],h=c[1],d=e.shapeInfo.flatOffset;if(h===a&&d==null)return `
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float $ { r } ( int row , int col , int depth ) {
float texR = float ( row ) ;
float texC = dot ( vec2 ( col , depth ) , vec2 ( $ { s } , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { h } . 0 , $ { u } . 0 ) ;
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return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(h===s&&d==null)return `
float $ { r } ( int row , int col , int depth ) {
float texR = dot ( vec2 ( row , col ) , vec2 ( $ { t [ 1 ] } , 1 ) ) ;
float texC = float ( depth ) ;
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vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { h } . 0 , $ { u } . 0 ) ;
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return sampleTexture ( $ { n } , uv ) ;
}
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` ;let p=bi(n);return `
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float $ { r } ( int row , int col , int depth ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { a } + col * $ { s } + depth + $ { p } ;
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vec2 uv = uvFromFlat ( $ { u } , $ { h } , index ) ;
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return sampleTexture ( $ { n } , uv ) ;
}
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` }function Tz(e){let t=e.shapeInfo.logicalShape,n=t.length,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),s=e.shapeInfo.texShape,i=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)],o=i[0],l=i[1],c=Math.ceil(t[n-1]/2),u=c*Math.ceil(t[n-2]/2),h="int b, int row, int col",d= ` b * $ { u } + ( row / 2 ) * $ { c } + ( col / 2 ) ` ;for(let f=2;f<n-1;f++)h= ` int b$ { f } , ` +h,u*=t[n-f-1],d= ` b$ { f } * $ { u } + ` +d;let p=pn();return `
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vec4 $ { a } ( $ { h } ) {
int index = $ { d } ;
int texR = index / $ { l } ;
int texC = index - texR * $ { l } ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { l } , $ { o } ) ;
return $ { p . texture2D } ( $ { r } , uv ) ;
}
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` }function bz(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t[3],s=t[2]*a,i=t[1]*s,{newShape:o,keptDims:l}=v.squeezeShape(t);if(o.length<t.length){let f=Sl(e,o),m=["row","col","depth","depth2"];return `
$ { Il ( f ) }
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float $ { r } ( int row , int col , int depth , int depth2 ) {
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return $ { r } ( $ { Tl ( m , l ) } ) ;
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}
` }if(e.shapeInfo.isUniform)return `
float $ { r } ( int row , int col , int depth , int depth2 ) {
int index = round ( dot ( vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { i } , $ { s } , $ { a } , 1 ) ) ) ;
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$ { Nl ( e ) }
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}
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` ;let c=e.shapeInfo.flatOffset,u=e.shapeInfo.texShape,h=u[0],d=u[1];if(d===i&&c==null)return `
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float $ { r } ( int row , int col , int depth , int depth2 ) {
float texR = float ( row ) ;
float texC =
dot ( vec3 ( col , depth , depth2 ) ,
vec3 ( $ { s } , $ { a } , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { d } . 0 , $ { h } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(d===a&&c==null)return `
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float $ { r } ( int row , int col , int depth , int depth2 ) {
float texR = dot ( vec3 ( row , col , depth ) ,
vec3 ( $ { t [ 1 ] * t [ 2 ] } , $ { t [ 2 ] } , 1 ) ) ;
float texC = float ( depth2 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { d } . 0 , $ { h } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;let p=bi(n);return `
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float $ { r } ( int row , int col , int depth , int depth2 ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { i } + col * $ { s } +
depth * $ { a } + depth2 ;
vec2 uv = uvFromFlat ( $ { h } , $ { d } , index + $ { p } ) ;
return sampleTexture ( $ { n } , uv ) ;
}
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` }function _z(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t[4],s=t[3]*a,i=t[2]*s,o=t[1]*i,{newShape:l,keptDims:c}=v.squeezeShape(t);if(l.length<t.length){let m=Sl(e,l),A=["row","col","depth","depth2","depth3"];return `
$ { Il ( m ) }
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float $ { r } ( int row , int col , int depth , int depth2 , int depth3 ) {
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return $ { r } ( $ { Tl ( A , c ) } ) ;
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}
` }if(e.shapeInfo.isUniform)return `
float $ { r } ( int row , int col , int depth , int depth2 , int depth3 ) {
float index = dot (
vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { o } , $ { i } , $ { s } , $ { a } ) ) +
depth3 ;
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$ { Nl ( e ) }
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}
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` ;let u=e.shapeInfo.flatOffset,h=e.shapeInfo.texShape,d=h[0],p=h[1];if(p===o&&u==null)return `
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float $ { r } ( int row , int col , int depth , int depth2 , int depth3 ) {
int texR = row ;
float texC = dot ( vec4 ( col , depth , depth2 , depth3 ) ,
vec4 ( $ { i } , $ { s } , $ { a } , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { p } . 0 , $ { d } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(p===a&&u==null)return `
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float $ { r } ( int row , int col , int depth , int depth2 , int depth3 ) {
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 ) /
vec2 ( $ { p } . 0 , $ { d } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;let f=bi(n);return `
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float $ { r } ( int row , int col , int depth , int depth2 , int depth3 ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { o } + col * $ { i } + depth * $ { s } +
depth2 * $ { a } + depth3 + $ { f } ;
vec2 uv = uvFromFlat ( $ { d } , $ { p } , index ) ;
return sampleTexture ( $ { n } , uv ) ;
}
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` }function vz(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),{newShape:a,keptDims:s}=v.squeezeShape(t);if(a.length<t.length){let A=Sl(e,a),y=["row","col","depth","depth2","depth3","depth4"];return `
$ { Il ( A ) }
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float $ { r } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
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return $ { r } ( $ { Tl ( y , s ) } ) ;
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}
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` }let i=t[5],o=t[4]*i,l=t[3]*o,c=t[2]*l,u=t[1]*c;if(e.shapeInfo.isUniform)return `
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float $ { r } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
int index = round ( dot (
vec4 ( row , col , depth , depth2 ) ,
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vec4 ( $ { u } , $ { c } , $ { l } , $ { o } ) ) +
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dot (
vec2 ( depth3 , depth4 ) ,
vec2 ( $ { i } , 1 ) ) ) ;
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$ { Nl ( e ) }
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}
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` ;let h=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,p=d[0],f=d[1];if(f===u&&h==null)return `
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float $ { r } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
int texR = row ;
float texC = dot ( vec4 ( col , depth , depth2 , depth3 ) ,
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vec4 ( $ { c } , $ { l } , $ { o } , $ { i } ) ) +
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float ( depth4 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { f } . 0 , $ { p } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(f===i&&h==null)return `
float $ { r } ( int row , int col , int depth ,
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 ) /
vec2 ( $ { f } . 0 , $ { p } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;let m=bi(n);return `
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float $ { r } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
// Explicitly use integer operations as dot() only works on floats.
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int index = row * $ { u } + col * $ { c } + depth * $ { l } +
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depth2 * $ { o } + depth3 * $ { i } + depth4 + $ { m } ;
vec2 uv = uvFromFlat ( $ { p } , $ { f } , index ) ;
return sampleTexture ( $ { n } , uv ) ;
}
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` }function Nl(e){let t=e.name,n=v.sizeFromShape(e.shapeInfo.logicalShape);return n<2? ` return $ { t } ; ` : `
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for ( int i = 0 ; i < $ { n } ; i ++ ) {
if ( i == index ) {
return $ { t } [ i ] ;
}
}
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` }function Cz(e,t){let n=e.name,r=n.charAt(0).toUpperCase()+n.slice(1),a="get"+r+"AtOutCoords",s=e.shapeInfo.logicalShape.length,i=t.logicalShape.length,o=Ib(e.shapeInfo.logicalShape,t.logicalShape),l=ut(i),c=i-s,u,h=["x","y","z","w","u","v"];s===0?u="":i<2&&o.length>=1?u="coords = 0;":u=o.map(A=> ` coords . $ { h [ A + c ] } = 0 ; ` ).join( `
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` );let d="";i<2&&s>0?d="coords":d=e.shapeInfo.logicalShape.map((A,y)=> ` coords . $ { h [ y + c ] } ` ).join(", ");let p="return outputValue;",f=v.sizeFromShape(e.shapeInfo.logicalShape)===1,m=v.sizeFromShape(t.logicalShape)===1;if(s===1&&!f&&!m)p= `
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return vec4 ( outputValue . xy , outputValue . xy ) ;
` ;else if(f&&!m)i===1?p= `
return vec4 ( outputValue . x , outputValue . x , 0. , 0. ) ;
` :p= `
return vec4 ( outputValue . x ) ;
` ;else if(o.length){let A=s-2,y=s-1;o.indexOf(A)>-1&&o.indexOf(y)>-1?p="return vec4(outputValue.x);":o.indexOf(A)>-1?p="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":o.indexOf(y)>-1&&(p="return vec4(outputValue.xx, outputValue.zz);")}return `
vec4 $ { a } ( ) {
$ { l } coords = getOutputCoords ( ) ;
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$ { u }
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vec4 outputValue = get$ { r } ( $ { d } ) ;
$ { p }
}
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` }function Ez(e,t){let n=e.name,r=n.charAt(0).toUpperCase()+n.slice(1),a="get"+r+"AtOutCoords",s=t.texShape,i=e.shapeInfo.texShape,o=e.shapeInfo.logicalShape.length,l=t.logicalShape.length;if(!e.shapeInfo.isUniform&&o===l&&e.shapeInfo.flatOffset==null&&v.arraysEqual(i,s))return `
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float $ { a } ( ) {
return sampleTexture ( $ { n } , resultUV ) ;
}
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` ;let c=ut(l),u=Ib(e.shapeInfo.logicalShape,t.logicalShape),h=l-o,d,p=["x","y","z","w","u","v"];o===0?d="":l<2&&u.length>=1?d="coords = 0;":d=u.map(m=> ` coords . $ { p [ m + h ] } = 0 ; ` ).join( `
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` );let f="";return l<2&&o>0?f="coords":f=e.shapeInfo.logicalShape.map((m,A)=> ` coords . $ { p [ A + h ] } ` ).join(", "), `
float $ { a } ( ) {
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$ { c } coords = getOutputCoords ( ) ;
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$ { d }
return get$ { r } ( $ { f } ) ;
}
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` }function ut(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 Sl(e,t){let n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function Tl(e,t){return t.map(n=>e[n]).join(", ")}function jz(e,t,n,r){let a=t.userCode,s=n.map((p,f)=>{let m={logicalShape:p.shape,texShape:p.isUniform?null:p.texData.texShape,isUniform:p.isUniform,isPacked:p.isUniform?!1:p.texData.isPacked,flatOffset:null};return p.texData!=null&&p.texData.slice!=null&&p.texData.slice.flatOffset>0&&(m.flatOffset=p.texData.slice.flatOffset),{name:t.variableNames[f],shapeInfo:m}}),i=s.map(p=>p.shapeInfo),o={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},l=Az(s,o,a,t.packedInputs),c=e.createProgram(l),u=null,h=e.getUniformLocation(c,"NAN",!1);J().getNumber("WEBGL_VERSION")===1&&(u=e.getUniformLocation(c,"INFINITY",!1));let d={};for(let p=0;p<t.variableNames.length;p++){let f=t.variableNames[p],m=!1;d[f]=e.getUniformLocation(c,f,m),d[ ` offset$ { f } ` ]=e.getUniformLocation(c, ` offset$ { f } ` ,m)}return{program:t,source:l,webGLProgram:c,uniformLocations:d,inShapeInfos:i,outShapeInfo:o,infLoc:u,nanLoc:h}}function Tb(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,r)=>{let a=n.logicalShape,s=t[r],i=s.shape;if(!v.arraysEqual(a,i))throw Error( ` Binary was compiled with different shapes than the current args . Shapes $ { a } and $ { i } must match ` );if(n.isUniform&&s.isUniform)return;let o=n.texShape,l=s.isUniform?null:s.texData.texShape;if(!v.arraysEqual(o,l))throw Error( ` Binary was compiled with different texture shapes than the current args . Shape $ { o } and $ { l } must match ` )})}function Hz(e,t,n,r,a){Tb(t.inShapeInfos,n),Tb([t.outShapeInfo],[r]);let s=r.texData.texture,i=r.texData.texShape;r.texData.isPacked?e.setOutputPackedMatrixTexture(s,i[0],i[1]):e.setOutputMatrixTexture(s,i[0],i[1]),e.setProgram(t.webGLProgram),J().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&e.gl.uniform1f(t.infLoc,Infinity),t.nanLoc!==null&&e.gl.uniform1f(t.nanLoc,NaN),n.forEach((o,l)=>{let c=t.program.variableNames[l],u=t.uniformLocations[c],h=t.uniformLocations[ ` offset$ { c } ` ];if(u!=null){if(o.isUniform){if(v.sizeFromShape(o.shape)<2)e.gl.uniform1f(u,o.uniformValues[0]);else{let d=o.uniformValues;d instanceof Float32Array||(d=new Float32Array(d)),e.gl.uniform1fv(u,d)}return}o.texData.slice!=null&&h!=null&&e.gl.uniform1i(h,o.texData.slice.flatOffset),e.setInputMatrixTexture(o.texData.texture,u,l)}}),a!=null&&a(e,t.webGLProgram),e.executeProgram()}function Gz(e,t,n){let r="";t.concat(n).forEach(i=>{let o=i.texData!=null&&i.texData.slice!=null&&i.texData.slice.flatOffset>0,l=i.isUniform?"uniform":i.texData.texShape;r+= ` $ { i . shape } _$ { l } _$ { o } ` });let a=e.userCode,s=e.constructor.name;return s+="_"+r+"_"+a,s}var{addImpl:qz,bincountImpl:Cb,bincountReduceImpl:Xz,ceilImpl:Kz,concatImpl:Zz,expImpl:Yz,expm1Impl:Jz,floorImpl:Qz,gatherV2Impl:eP,greaterImpl:tP,lessImpl:nP,linSpaceImpl:rP,logImpl:aP,maxImpl:sP,maximumImpl:iP,minimumImpl:oP,multiplyImpl:lP,negImpl:uP,prodImpl:cP,rangeImpl:hP,rsqrtImpl:dP,simpleAbsImpl:Eb,sliceImpl:pP,stridedSliceImpl:fP,subImpl:mP,tileImpl:AP,topKImpl:yP,transposeImpl:Qm,uniqueImpl:gP}=Nm;function Rb(e,t){return["x","y","z","w","u","v"].slice(0,t).map(n=> ` $ { e } . $ { n } ` )}function fn(e,t){return t===1?[e]:Rb(e,t)}function xP(e,t){if(e===1)return"rc";let n="";for(let r=0;r<e;r++)n+=t[r],r<e-1&&(n+=",");return n}var vP=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=e;let t=e.length;if(t===0)this.userCode= `
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void main ( ) {
setOutput ( vec4 ( getA ( ) , 0. , 0. , 0. ) ) ;
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}
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` ;else{let n=fn("rc",t),r=ut(t),a=wP(t,e,n),s=bP(t,e[e.length-1],e[e.length-2],n),i=_P(e,n);this.userCode= `
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void main ( ) {
$ { r } rc = getOutputCoords ( ) ;
if ( $ { a } ) {
setOutput ( vec4 ( 0 ) ) ;
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} else {
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$ { s }
setOutput ( vec4 ( $ { i } ) ) ;
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}
}
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` }}};function kP(e,t){let n=[];for(let r=0;r<=1;r++)for(let a=0;a<=1;a++){let s= ` $ { r === 0 ? "r" : "rp1" } , $ { a === 0 ? "c" : "cp1" } ` ;for(let i=2;i<e;i++)s= ` $ { t [ t . length - 1 - i ] } , ` +s;n.push(s)}return n}function wP(e,t,n){if(e===1)return ` rc > $ { t [ 0 ] } ` ;let r="";for(let a=e-2;a<e;a++)r+= ` $ { n [ a ] } >= $ { t [ a ] } ` ,a<e-1&&(r+="||");return r}function bP(e,t,n,r){if(e===1)return"";let a=r.slice(-2);return `
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int r = $ { a [ 0 ] } ;
int c = $ { a [ 1 ] } ;
int rp1 = r + 1 ;
int cp1 = c + 1 ;
bool cEdge = cp1 >= $ { t } ;
bool rEdge = rp1 >= $ { n } ;
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` }function _P(e,t){let n=e.length,r=kP(n,t);return n===1? ` getA ( rc ) ,
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rc + 1 >= $ { e [ 0 ] } ? 0. : getA ( rc + 1 ) ,
0 , 0 ` : ` getA ( $ { r [ 0 ] } ) ,
cEdge ? 0. : getA ( $ { r [ 1 ] } ) ,
rEdge ? 0. : getA ( $ { r [ 2 ] } ) ,
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rEdge || cEdge ? 0. : getA ( $ { r [ 3 ] } ) ` }var Mb=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let n="";for(let r=0;r<4;r++){let a="thisRC = rc;";r%2==1&&(a+="thisRC.z += 1;"),r>1&&(a+="thisRC.y += 1;"),n+= `
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$ { a }
$ { r > 0 ? "if(thisRC.y < rows && thisRC.z < cols){" : "" }
int flatIndex = getFlatIndex ( thisRC ) ;
ivec3 inputRC = inputCoordsFromReshapedOutCoords ( flatIndex ) ;
vec2 inputRCInnerDims = vec2 ( float ( inputRC . y ) , float ( inputRC . z ) ) ;
result [ $ { r } ] =
getChannel ( getA ( inputRC . x , inputRC . y , inputRC . z ) , inputRCInnerDims ) ;
$ { r > 0 ? "}" : "" }
` }this.userCode= `
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$ { IP ( t ) }
$ { qm ( e ) }
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void main ( ) {
ivec3 rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
ivec3 thisRC ;
int rows = $ { e [ 1 ] } ;
int cols = $ { e [ 2 ] } ;
$ { n }
setOutput ( result ) ;
}
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` }};function IP(e){return `
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ivec3 inputCoordsFromReshapedOutCoords ( int index ) {
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$ { wi ( [ "r" , "c" , "d" ] , e ) }
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return ivec3 ( r , c , d ) ;
}
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` }var NP=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 r= $ b(t,n),a=Db(e,r,n);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);let s=Fb(e,r,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=s,this.log();let o=this.freeTextures[a].shift();return this.usedTextures[a].push(o),o}let i;return r===tn.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===tn.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):r===tn.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===tn.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===tn.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[a].push(i),this.numUsedTextures++,this._numBytesAllocated+=s,this.log(),i}releaseTexture(e,t,n,r){if(this.freeTextures==null)return;let a= $ b(n,r),s=Db(t,a,r);s in this.freeTextures||(this.freeTextures[s]=[]);let i=Fb(t,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),o=J().get("WEBGL_DELETE_TEXTURE_THRESHOLD");o!==-1&&this._numBytesAllocated>o?(this.gpgpu.deleteMatrixTexture(e),this._numBytesAllocated-=i):(this.freeTextures[s].push(e),this.numFreeTextures++,this._numBytesFree+=i),this.numUsedTextures--;let l=this.usedTextures[s],c=l.indexOf(e);if(c<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(c,1),this.log()}log(){if(!this.logEnabled)return;let e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used", ` $ { this . numFreeTextures } / $ { this . numUsedTextures } ` , ` ( $ { e } ) ` );let t=this._numBytesFree/this._numBytesAllocated;console.log( ` Bytes allocated : $ { this . _numBytesAllocated } ` ),console.log( ` Bytes unused : $ { this . _numBytesFree } ( $ { Math . round ( 100 * t ) } % ) ` )}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let e in this.freeTextures)this.freeTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t)});for(let e in this.usedTextures)this.usedTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function SP(e,t){let n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F||t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;throw new Error( ` Unknown internal format $ { t } ` )}function Fb(e,t,n,r,a){let s=TP(t,r),i;if(a){let[l,c]=kl(e[0],e[1]);i=l*c}else{let[l,c]=lc(e[0],e[1]);i=l*c}let o=SP(n,s);return i*o}function TP(e,t){switch(e){case tn.PACKED_2X2_FLOAT32:return Ym(t);case tn.PACKED_2X2_FLOAT16:return Jm(t);case tn.UNPACKED_FLOAT32:return Xm(t);case tn.UNPACKED_FLOAT16:return Km(t);case tn.PACKED_4X1_UNSIGNED_BYTE:return Zm(t);default:throw new Error( ` Unknown physical texture type $ { e } ` )}}function CP(e){return J().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?tn.PACKED_2X2_FLOAT32:tn.UNPACKED_FLOAT32:e?tn.PACKED_2X2_FLOAT16:tn.UNPACKED_FLOAT16}function $ b(e,t){if(e===Zn.UPLOAD)return tn.PACKED_2X2_FLOAT32;if(e===Zn.RENDER||e==null)return CP(t);if(e===Zn.DOWNLOAD||e===Zn.PIXELS)return tn.PACKED_4X1_UNSIGNED_BYTE;throw new Error( ` Unknown logical texture type $ { e } ` )}function Db(e,t,n){return ` $ { e [ 0 ] } _$ { e [ 1 ] } _$ { t } _$ { n } ` }var Ba=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.userCode= `
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float unaryOperation ( float x ) {
$ { t }
}
void main ( ) {
float x = getAAtOutCoords ( ) ;
float y = unaryOperation ( x ) ;
setOutput ( y ) ;
}
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` }},xr="if (isnan(x)) return x;",EP="return x;",Ob="return abs(x);",RP="return (x >= 0.0) ? x : (exp(x) - 1.0);",MP=xr+ `
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return ( x < 0.0 ) ? 0.0 : x ;
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` ,FP=xr+ `
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return ( x < 0.0 ) ? 0.0 : min ( 6.0 , x ) ;
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` ,hp="return x;", $ P="return x;",DP= `
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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 ;
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` ,OP= `
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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 ;
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` ,zP= `
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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 ;
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` ,Cl=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode= `
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vec4 unaryOperation ( vec4 x ) {
$ { t }
}
void main ( ) {
vec4 x = getAAtOutCoords ( ) ;
vec4 y = unaryOperation ( x ) ;
setOutput ( y ) ;
}
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` }},PP=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e;let t=e.length,n=fn("rc",t),r=ut(t),a=xP(t,n),s=n.slice(-2),i=t<=1?"rc": ` vec2 ( $ { s . join ( "," ) } ) ` ;this.userCode= `
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void main ( ) {
$ { r } rc = getOutputCoords ( ) ;
vec4 packedInput = getA ( $ { a } ) ;
setOutput ( getChannel ( packedInput , $ { i } ) ) ;
}
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` }},LP=Lr.whereImpl,WP=1e-7,BP=1e-4,eA={};function VP(e){return e in eA||(eA[e]={}),eA[e]}var UP=128,jP=600;function HP(){return J().global.screen==null?1024:J().global.screen.height*J().global.screen.width*window.devicePixelRatio*jP/1024/1024}var El=class extends iu{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.warnedAboutCPUBackend=!1,this.pendingDeletes=0,this.disposed=!1,!J().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(e==null){let t=Br(J().getNumber("WEBGL_VERSION"));this.binaryCache=VP(J().getNumber("WEBGL_VERSION")),this.gpgpu=new cp(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 NP(this.gpgpu),this.numMBBeforeWarning=HP(),this.texData=new wh(this,Fr())}nextDataId(){return El.nextDataId++}numDataIds(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes}write(e,t,n){if((J().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||J().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 r={id:this.nextDataId()};return this.texData.set(r,{shape:t,dtype:n,values:e,usage:Zn.UPLOAD,refCount:1}),r}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,r,a){if(J().getBool("DEBUG")&&this.checkNumericalProblems(t),r==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:r,values:t,usage:Zn.UPLOAD,refCount:a})}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}readSync(e){let t=this.texData.get(e),{values:n,dtype:r,complexTensorInfos:a,slice:s,shape:i,isPacked:o}=t;if(s!=null){let h;o?h=new Cl(i,hp):h=new Ba(i,hp);let d=this.runWebGLProgram(h,[{dataId:e,shape:i,dtype:r}],r),p=this.readSync(d.dataId);return this.disposeIntermediateTensorInfo(d),p}if(n!=null)return this.convertAndCacheOnCPU(e);if(r==="string")return n;let l=this.activeTimers!=null,c;l&&(c=v.now());let u;if(r==="complex64"){let h=this.readSync(a.real.dataId),d=this.readSync(a.imag.dataId);u=R.mergeRealAndImagArrays(h,d)}else u=this.getValuesFromTexture(e);return l&&(this.downloadWaitMs+=v.now()-c),this.convertAndCacheOnCPU(e,u)}async read(e){if(this.pendingRead.has(e)){let p=this.pendingRead.get(e);return new Promise(f=>p.push(f))}let t=this.texData.get(e),{values:n,shape:r,slice:a,dtype:s,complexTensorInfos:i,isPacked:o}=t;if(a!=null){let p;o?p=new Cl(r,hp):p=new Ba(r,hp);let f=this.runWebGLProgram(p,[{dataId:e,shape:r,dtype:s}],s),m=this.read(f.dataId);return this.disposeIntermediateTensorInfo(f),m}if(n!=null)return this.convertAndCacheOnCPU(e);if(!J().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&J().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,c;if(s!=="complex64"&&J().get("WEBGL_BUFFER_SUPPORTED")){c=this.decode(e);let p=this.texData.get(c.dataId);l=this.gpgpu.createBufferFromTexture(p.texture,...uc(r))}this.pendingRead.set(e,[]),s!=="complex64"&&await this.gpgpu.createAndWaitForFence();let u;if(s==="complex64"){let p=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]),f=p[0],m=p[1];u=R.mergeRealAndImagArrays(f,m)}else if(l==null)u=this.getValuesFromTexture(e);else{let p=v.sizeFromShape(r);u=this.gpgpu.downloadFloat32MatrixFromBuffer(l,p)}c!=null&&this.disposeIntermediateTensorInfo(c);let h=this.convertAndCacheOnCPU(e,u),d=this.pendingRead.get(e);return this.pendingRead.delete(e),d.forEach(p=>p(h)),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)&&Fr().removeDataId(e,this),this
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if ( isnan ( a ) ) return a ;
if ( isnan ( b ) ) return b ;
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` ,Rl=class{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=R.assertAndGetBroadcastShape(t,n),this.userCode= `
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float binaryOperation ( float a , float b ) {
$ { e }
}
void main ( ) {
float a = getAAtOutCoords ( ) ;
float b = getBAtOutCoords ( ) ;
setOutput ( binaryOperation ( a , b ) ) ;
}
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` }},dp= `
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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 ;
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` ,hc=class{constructor(e,t,n,r=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=R.assertAndGetBroadcastShape(t,n);let a=this.outputShape.length,s="";if(r)if(a===0||v.sizeFromShape(this.outputShape)===1)s= `
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result . y = 0. ;
result . z = 0. ;
result . w = 0. ;
` ;else if(s= `
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$ { ut ( a ) } coords = getOutputCoords ( ) ;
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` ,a===1)s+= `
result . y = ( coords + 1 ) >= $ { this . outputShape [ 0 ] } ? 0. : result . y ;
result . z = 0. ;
result . w = 0. ;
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` ;else{let i=fn("coords",a);s+= `
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bool nextRowOutOfBounds =
( $ { i [ a - 2 ] } + 1 ) >= $ { this . outputShape [ a - 2 ] } ;
bool nextColOutOfBounds =
( $ { i [ a - 1 ] } + 1 ) >= $ { this . outputShape [ a - 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 ( ) ;
vec4 result = binaryOperation ( a , b ) ;
$ { s }
setOutput ( result ) ;
}
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` }};function On(e){let{inputs:t,backend:n}=e,{x:r}=t;return n.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}var XP={kernelName:ks,backendName:"webgl",kernelFunc:On};function Va(e){let{inputs:t,backend:n}=e,{real:r,imag:a}=t,s=n.makeTensorInfo(r.shape,"complex64"),i=n.texData.get(s.dataId),o=On({inputs:{x:r},backend:n}),l=On({inputs:{x:a},backend:n});return i.complexTensorInfos={real:o,imag:l},s}var KP={kernelName:Ch,backendName:"webgl",kernelFunc:Va},Wb="return (a < 0.) ? b * a : a;",Bb= `
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vec4 aLessThanZero = vec4 ( lessThan ( a , vec4 ( 0. ) ) ) ;
return ( aLessThanZero * ( b * a ) ) + ( ( vec4 ( 1.0 ) - aLessThanZero ) * a ) ;
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` ;function ZP(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{alpha:s}=r,i=n.makeTensorInfo([],"float32",v.createScalarValue(s,"float32")),o=J().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new hc(Bb,a.shape,i.shape):new Rl(Wb,a.shape,i.shape),l=n.runWebGLProgram(o,[a,i],a.dtype);return n.disposeIntermediateTensorInfo(i),l}var YP={kernelName:Is,backendName:"webgl",kernelFunc:ZP},Vb="return (a < 0.) ? b * a : a;",Ub= `
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vec4 aLessThanZero = vec4 ( lessThan ( a , vec4 ( 0. ) ) ) ;
return ( aLessThanZero * ( b * a ) ) + ( ( vec4 ( 1.0 ) - aLessThanZero ) * a ) ;
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` ;function JP(e){let{inputs:t,backend:n}=e,{x:r,alpha:a}=t,s=J().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new hc(Ub,r.shape,a.shape):new Rl(Vb,r.shape,a.shape);return n.runWebGLProgram(s,[r,a],r.dtype)}var QP={kernelName:zs,backendName:"webgl",kernelFunc:JP},jb="if (isnan(x)) return x;",eL= `
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if ( isnan ( a ) ) return a ;
if ( isnan ( b ) ) return b ;
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` ,tL= `
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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 ;
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` ;function Ze({opSnippet:e,packedOpSnippet:t,cpuKernelImpl:n,dtype:r}){return({inputs:a,backend:s})=>{let{x:i}=a,o=s,l=r||i.dtype;if(o.shouldExecuteOnCPU([i])&&n!=null){let h=o.texData.get(i.dataId),d=n(h.values,l);return o.makeTensorInfo(i.shape,l,d)}let c=J().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,u;return c?u=new Cl(i.shape,t):u=new Ba(i.shape,e),o.runWebGLProgram(u,[i],l)}}function nn({opSnippet:e,packedOpSnippet:t,checkOutOfBounds:n=!1,supportsComplex:r=!1,cpuKernelImpl:a,dtype:s}){return({inputs:i,backend:o})=>{let{a:l,b:c}=i,u=o;if(r&&l.dtype==="complex64"){let f=u.texData.get(l.dataId),m=u.texData.get(c.dataId),[A,y]=[[f.complexTensorInfos.real,m.complexTensorInfos.real],[f.complexTensorInfos.imag,m.complexTensorInfos.imag]].map(w=>{let[b,_]=w,x={dataId:b.dataId,dtype:b.dtype,shape:l.shape},N={dataId:_.dataId,dtype:_.dtype,shape:c.shape},T=new Rl(e,l.shape,c.shape);return u.runWebGLProgram(T,[x,N],rr(b.dtype,_.dtype))}),g=Va({inputs:{real:A,imag:y},backend:u});return u.disposeIntermediateTensorInfo(A),u.disposeIntermediateTensorInfo(y),g}let h=s||rr(l.dtype,c.dtype);if(u.shouldExecuteOnCPU([l,c])&&a!=null){let f=u.texData.get(l.dataId),m=u.texData.get(c.dataId),[A,y]=a(l.shape,c.shape,f.values,m.values,h),g=u.makeTensorInfo(y,h),w=u.texData.get(g.dataId);return w.values=A,g}let d=J().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,p;return d?p=new hc(t,l.shape,c.shape,n):p=new Rl(e,l.shape,c.shape),u.runWebGLProgram(p,[l,c],h)}}function pp(e,t=!1){if(e==="linear")return t? $ P:EP;if(e==="relu")return t?OP:MP;if(e==="elu")return t?DP:RP;if(e==="relu6")return t?zP:FP;if(e==="prelu")return t?Ub:Vb;if(e==="leakyrelu")return t?Bb:Wb;throw new Error( ` Activation $ { e } has not been implemented for the WebGL backend . ` )}var Hb=class{constructor(e,t,n,r=!1,a=!1,s=!1,i=null,o=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n;let c=r?e[1]:e[2],u=Math.ceil(c/2),h=r?"i * 2, rc.y":"rc.y, i * 2",d=a?"rc.z, i * 2":"i * 2, rc.z",p=r?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],f=a?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],m="",A="";i&&(o?m= ` vec4 activation ( vec4 a ) {
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vec4 b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { i }
} ` :l?m= ` vec4 activation ( vec4 a ) {
vec4 b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { i }
} ` :m= ` vec4 activation ( vec4 x ) {
$ { i }
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} ` ,A="result = activation(result);");let y=s?"result += getBiasAtOutCoords();":"";s&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),l&&this.variableNames.push("leakyreluAlpha");let g="rc.x",w="rc.x";e[0]<t[0]?g= ` int ( min ( float ( rc . x ) , $ { e [ 0 ] - 1 } . ) ) ` :t[0]<e[0]&&(w= ` int ( min ( float ( rc . x ) , $ { t [ 0 ] - 1 } . ) ) ` ),this.userCode= `
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$ { m }
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const float sharedDimension = $ { u } . 0 ;
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vec4 dot2x2ARowBCol ( ivec3 rc ) {
vec4 result = vec4 ( 0 ) ;
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for ( int i = 0 ; i < $ { u } ; i ++ ) {
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int batchA = $ { g } ;
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int batchB = $ { w } ;
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vec4 a = getMatrixA ( batchA , $ { h } ) ;
vec4 b = getMatrixB ( batchB , $ { d } ) ;
// These swizzled products need to be separately added.
// See: https://github.com/tensorflow/tfjs/issues/1735
result += ( $ { p [ 0 ] } * $ { f [ 0 ] } ) ;
result += ( $ { p [ 1 ] } * $ { f [ 1 ] } ) ;
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}
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return result ;
}
void main ( ) {
ivec3 rc = getOutputCoords ( ) ;
vec4 result = dot2x2ARowBCol ( rc ) ;
$ { y }
$ { A }
setOutput ( result ) ;
}
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` }},Gb={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},qb=class{constructor(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=R.assertAndGetBroadcastShape(t,n),this.userCode= `
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float binaryOpComplex (
float areal , float aimag , float breal , float bimag ) {
$ { e }
}
void main ( ) {
float areal = getARealAtOutCoords ( ) ;
float aimag = getAImagAtOutCoords ( ) ;
float breal = getBRealAtOutCoords ( ) ;
float bimag = getBImagAtOutCoords ( ) ;
setOutput ( binaryOpComplex ( areal , aimag , breal , bimag ) ) ;
}
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` }},Xb="return a * b;";function Kb(e){let{inputs:t,backend:n}=e,{a:r,b:a}=t,s=R.upcastType(r.dtype,a.dtype);if(r.dtype==="complex64"){let o=n.texData.get(r.dataId),l=n.texData.get(a.dataId),c=new qb(Gb.REAL,r.shape,a.shape),u=new qb(Gb.IMAG,r.shape,a.shape),h=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:r.shape},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:r.shape},{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:a.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:a.shape}],d=n.runWebGLProgram(c,h,"float32"),p=n.runWebGLProgram(u,h,"float32"),f=Va({inputs:{real:d,imag:p},backend:n});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(p),f}if(n.shouldExecuteOnCPU([r,a])){let o=n.texData.get(r.dataId),l=n.texData.get(a.dataId),[c,u]=lP(r.shape,a.shape,o.values,l.values,s),h=n.makeTensorInfo(u,s),d=n.texData.get(h.dataId);return d.values=c,h}let i;return J().getBool("WEBGL_PACK_BINARY_OPERATIONS")?i=new hc(Xb,r.shape,a.shape):i=new Rl(Xb,r.shape,a.shape),n.runWebGLProgram(i,[r,a],s)}var nL={kernelName:Fs,backendName:"webgl",kernelFunc:Kb};function rL(e,t,n){let r=[yi(e.shape),...gi(e.shape)],a={dtype:e.dtype,shape:r,dataId:e.dataId},s=[yi(t),...gi(t)],i=new Mb(s,r),o=!0,l=n.runWebGLProgram(i,[a],e.dtype,null,o);return{dataId:l.dataId,shape:t,dtype:l.dtype}}function ye(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{shape:s}=r,i=n,o=v.sizeFromShape(a.shape),l=v.inferFromImplicitShape(s,o),c=v.sizeFromShape(l);v.assert(o===c,()=> ` The new shape ( $ { l } ) has $ { c } elements and the old shape ( $ { a . shape } ) has $ { o } elements . The new shape and old shape must have the same number of elements . ` );let u=i.texData.get(a.dataId);return u.isPacked&&!ic(a.shape,l)&&!(u.texture!==null&&ic(u.shape,l))?rL(a,l,i):(i.incRef(a.dataId),{dataId:a.dataId,shape:l,dtype:a.dtype})}var aL={kernelName:Do,backendName:"webgl",kernelFunc:ye},Zb=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:r,inSize:a,outSize:s}=e;this.outputShape=[r,s];let i=Math.floor(n/4)*4,o=n%4,l="sumValue += dot(values, ones);";if(t!=null){let u=1/t;l= ` sumValue += dot ( values * $ { v . isInt ( u ) ? u . toPrecision ( 2 ) : u } , ones ) ; ` }let c="";a%n>0&&(c= `
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if ( inIdx < 0 || inIdx >= $ { a } ) {
return 0.0 ;
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}
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` ),this.userCode= `
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
float getValue ( int batch , int inIdx ) {
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$ { c }
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return getX ( batch , inIdx ) ;
}
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = outIdx * $ { n } ;
float sumValue = 0.0 ;
for ( int i = 0 ; i < $ { i } ; i += 4 ) {
int inIdx = inOffset + i ;
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
$ { l }
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}
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int inIdx = inOffset + $ { i } ;
if ( $ { o === 1 } ) {
vec4 values = vec4 ( getValue ( batch , inIdx ) , 0.0 , 0.0 , 0.0 ) ;
$ { l }
} else if ( $ { o === 2 } ) {
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) , 0.0 , 0.0 ) ;
$ { l }
} else if ( $ { o === 3 } ) {
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) , 0.0 ) ;
$ { l }
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}
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setOutput ( sumValue ) ;
}
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` }},sL=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:r,inSize:a,outSize:s}=e;this.outputShape=[r,s];let i="0.0",o="";t==="prod"?i="1.0":t==="min"?(i="1.0 / 1e-20",o="min"):t==="max"&&(i="-1.0 / 1e-20",o="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 c=Math.floor(n/4)*4,u=n%4,h= `
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if ( $ { t === "sum" } ) {
sumValue += dot ( values , ones ) ;
} else if ( $ { t === "prod" } ) {
vec2 tmp = vec2 ( values [ 0 ] , values [ 1 ] ) * vec2 ( values [ 2 ] , values [ 3 ] ) ;
prodValue *= tmp [ 0 ] * tmp [ 1 ] ;
} else {
minMaxValue = $ { o } ( values , minMaxValue ) ;
}
` ,d="vec4";t==="all"?(i="1.0",h= `
bool reducedAllValue = all ( values ) ;
float floatedReducedAllValue = float ( reducedAllValue ) ;
allValue = float ( allValue >= 1.0 && floatedReducedAllValue >= 1.0 ) ;
` ,d="bvec4"):t==="any"&&(i="0.0",h= `
bool reducedAnyValue = any ( values ) ;
float floatedReducedAnyValue = float ( reducedAnyValue ) ;
anyValue = float ( anyValue >= 1.0 || floatedReducedAnyValue >= 1.0 ) ;
` ,d="bvec4");let p="";a%n>0&&(p= `
if ( inIdx < 0 || inIdx >= $ { a } ) {
return initializationValue ;
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}
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` ),this.userCode= `
const float initializationValue = $ { i } ;
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
float getValue ( int batch , int inIdx ) {
$ { p }
return getX ( batch , inIdx ) ;
}
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = outIdx * $ { n } ;
vec4 minMaxValue = vec4 ( $ { i } ) ;
float prodValue = 1.0 ;
float sumValue = 0.0 ;
float allValue = 1.0 ;
float anyValue = 0.0 ;
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for ( int i = 0 ; i < $ { c } ; i += 4 ) {
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int inIdx = inOffset + i ;
$ { d } values = $ { d } (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
$ { h }
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}
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int inIdx = inOffset + $ { c } ;
if ( $ { u === 1 } ) {
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$ { d } values = $ { d } (
getValue ( batch , inIdx ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
$ { h }
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} else if ( $ { u === 2 } ) {
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$ { d } values = $ { d } (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
initializationValue ,
initializationValue
) ;
$ { h }
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} else if ( $ { u === 3 } ) {
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$ { d } values = $ { d } (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
initializationValue
) ;
$ { h }
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}
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setOutput ( $ { l } ) ;
}
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` }};function iL(e){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let n=t.length?t[t.length-1].outSize:e[1],r=R.computeOptimalWindowSize(n);t.push({inSize:n,windowSize:r,outSize:Math.ceil(n/r)})}return t}function _i(e,t,n,r){let a=iL(e.shape),s=e;for(let i=0;i<a.length;i++){let{inSize:o,windowSize:l,outSize:c}=a[i],u,h;n==="mean"?u=i===0?new Zb({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:c},o):new Zb({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:c}):u=new sL({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:c},n),h=s,s=r.runWebGLProgram(u,[s],t),h.dataId!==e.dataId&&r.disposeIntermediateTensorInfo(h)}return s}var lL=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let s=0;s<n.length;s++)n[s]=e[t[s]];this.outputShape=n,this.rank=n.length;let r=ut(this.rank),a=oL(t);this.userCode= `
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void main ( ) {
$ { r } resRC = getOutputCoords ( ) ;
setOutput ( getA ( $ { a } ) ) ;
}
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` }};function oL(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"],r=new Array(t);for(let a=0;a<e.length;a++)r[e[a]]=n[a];return r.join()}var uL=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;let n=new Array(e.length);for(let c=0;c<n.length;c++)n[c]=e[t[c]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error( ` Packed transpose for rank $ { this . rank } is not yet supported . ` );let r=ut(this.rank),a=Rb("rc",this.rank),s=new Array(this.rank);for(let c=0;c<t.length;c++)s[t[c]]=a[c];let i= ` vec2 ( $ { s . slice ( - 2 ) . join ( ) } ) ` ,o= ` ++ $ { a [ this . rank - 1 ] } < $ { n [ this . rank - 1 ] } ` ,l= ` getChannel ( getA ( $ { s . join ( ) } ) , $ { i } ) ` ;this.userCode= `
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void main ( ) {
$ { r } rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
result [ 0 ] = $ { l } ;
if ( $ { o } ) {
result [ 1 ] = $ { l } ;
}
-- $ { a [ this . rank - 1 ] } ;
if ( ++ $ { a [ this . rank - 2 ] } < $ { n [ this . rank - 2 ] } ) {
result [ 2 ] = $ { l } ;
if ( $ { o } ) {
result [ 3 ] = $ { l } ;
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}
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}
setOutput ( result ) ;
}
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` }};function fp(e,t,n){let r=J().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new uL(e.shape,t):new lL(e.shape,t);return n.runWebGLProgram(r,[e],e.dtype)}function cL(e,t,n,r){let a=t,s=e.shape.length,i=v.parseAxisParam(a,e.shape),o=i,l=R.getAxesPermutation(o,s),c=l!=null,u=e;c&&(u=fp(e,l,r),o=R.getInnerMostAxes(o.length,s)),R.assertAxesAreInnerMostDims("sum",o,s);let[h,d]=R.computeOutAndReduceShapes(u.shape,o),p=h;n&&(p=R.expandShapeToKeepDim(h,i));let f=v.sizeFromShape(d),m=v.sizeFromShape(e.shape)/f,A=ye({inputs:{x:u},attrs:{shape:[m,f]},backend:r}),y=id(e.dtype),g=_i(A,y,"sum",r),w=ye({inputs:{x:g},attrs:{shape:p},backend:r});return r.disposeIntermediateTensorInfo(A),r.disposeIntermediateTensorInfo(g),c&&r.disposeIntermediateTensorInfo(u),w}function tA(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,keepDims:i}=r;return cL(a,s,i,n)}var hL={kernelName:qs,backendName:"webgl",kernelFunc:tA};function In(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{perm:s}=r,i=n,o=a.shape.length,l=new Array(o);for(let u=0;u<l.length;u++)l[u]=a.shape[s[u]];let c;if(i.shouldExecuteOnCPU([a])){let u=i.texData.get(a.dataId).values,h=Qm(u,a.shape,a.dtype,s,l);c=i.makeTensorInfo(l,a.dtype);let d=i.texData.get(c.dataId);d.values=h}else c=fp(a,s,i);return c}var dL={kernelName:Js,backendName:"webgl",kernelFunc:In},Yb=1e3;function mp({a:e,b:t,transposeA:n,transposeB:r,backend:a,bias:s=null,preluActivationWeights:i=null,leakyreluAlpha:o=0,activation:l=null}){let c=e.shape.length,u=t.shape.length,h=n?e.shape[c-2]:e.shape[c-1],d=r?t.shape[u-1]:t.shape[u-2],p=n?e.shape[c-1]:e.shape[c-2],f=r?t.shape[u-2]:t.shape[u-1],m=e.shape.slice(0,-2),A=t.shape.slice(0,-2),y=v.sizeFromShape(m),g=v.sizeFromShape(A),w=y===g||y===1||g===1;v.assert(c>=2&&u>=2&&w,()=> ` Error in matMul : the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of ( $ { m } ) and ( $ { A } ) . ` );let b=(y>g?e.shape.slice(0,-2):t.shape.slice(0,-2)).concat([p,f]);v.assert(h===d,()=> ` Error in matMul : inner shapes ( $ { h } ) and ( $ { d } ) of Tensors with shapes $ { e . shape } and $ { t . shape } and transposeA = $ { n } and transposeB = $ { r } must match . ` );let _=n?[y,h,p]:[y,p,h],x=r?[g,f,d]:[g,d,f],N=ye({inputs:{x:e},backend:a,attrs:{shape:_}}),T=ye({inputs:{x:t},backend:a,attrs:{shape:x}}),C=[N,T],F=Math.max(y,g),z=n?N.shape[1]:N.shape[2],B=s!=null,V=i!=null,U=l==="leakyrelu",j=l!=null?pp(l,!0):null,X=B||V||U||j!=null,G;if((p===1||f===1)&&z>Yb&&X===!1){let Y=N,ae=T;n&&(Y=In({inputs:{x:N},backend:a,attrs:{perm:[0,2,1]}}),C.push(Y)),r&&(ae=In({inputs:{x:T},backend:a,attrs:{perm:[0,2,1]}}),C.push(ae));let te=f!==1,oe=f===1,Q=Y;te&&(Q=ye({inputs:{x:Y},backend:a,attrs:{shape:[F,z,1]}}),C.push(Q));let he=f===1?2:1,le=ae;oe&&(le=ye({inputs:{x:ae},backend:a,attrs:{shape:[F,1,z]}}),C.push(le));let fe=Kb({inputs:{a:Q,b:le},backend:a});G=tA({inputs:{x:fe},backend:a,attrs:{axis:he,keepDims:!0}}),C.push(fe)}else{let Y=rr(e.dtype,t.dtype),ae=new Hb(_,x,[F,p,f],n,r,B,j,V,U),te=[N,T];if(s!=null&&te.push(s),V&&te.push(i),U){let oe=a.makeTensorInfo([],"float32",v.createScalarValue(o,"float32"));te.push(oe),C.push(oe)}G=a.runWebGLProgram(ae,te,Y)}let ee=ye({inputs:{x:G},backend:a,attrs:{shape:b}});C.push(G);for(let Y of C)a.disposeIntermediateTensorInfo(Y);return ee}function pL(e){let{inputs:t,backend:n,attrs:r}=e,{a,b:s,bias:i,preluActivationWeights:o}=t,{transposeA:l,transposeB:c,activation:u,leakyreluAlpha:h}=r;return mp({a,b:s,transposeA:l,transposeB:c,backend:n,bias:i,preluActivationWeights:o,leakyreluAlpha:h,activation:u})}var fL={kernelName:Qs,backendName:"webgl",kernelFunc:pL},Jb="return abs(x);";function mL(e){let{inputs:t,backend:n}=e,{x:r}=t;if(n.shouldExecuteOnCPU([r])&&r.dtype!=="complex64"){let s=n.texData.get(r.dataId),i=Eb(s.values);return n.makeTensorInfo(r.shape,r.dtype,i)}let a;return J().getBool("WEBGL_PACK_UNARY_OPERATIONS")?a=new Cl(r.shape,Jb):a=new Ba(r.shape,Jb),n.runWebGLProgram(a,[r],r.dtype)}var AL={kernelName:Zi,backendName:"webgl",kernelFunc:mL},yL=xr+ `
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if ( abs ( x ) > 1. ) {
return NAN ;
}
return acos ( x ) ;
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` ,gL=Ze({opSnippet:yL}),xL={kernelName:Yi,backendName:"webgl",kernelFunc:gL},wL=xr+ `
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if ( x < 1.0 ) return NAN ;
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return log ( x + sqrt ( x * x - 1.0 ) ) ; ` ,bL=Ze({opSnippet:wL}),_L={kernelName:Ji,backendName:"webgl",kernelFunc:bL},Qb="return a + b;",vL=nn({opSnippet:Qb,packedOpSnippet:Qb,supportsComplex:!0,cpuKernelImpl:qz}),kL={kernelName:Ia,backendName:"webgl",kernelFunc:vL},IL=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((a,s)=> ` T$ { s } ` );let n=[];this.variableNames.forEach(a=>{n.push( ` float v$ { a } = get$ { a } AtOutCoords ( ) ; ` )});let r=this.variableNames.map(a=> ` v$ { a } ` ).join(" + ");this.userCode= `
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void main ( ) {
$ { n . join ( `
` )}
float result = $ { r } ;
setOutput ( result ) ;
}
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` }},NL=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((a,s)=> ` T$ { s } ` );let n=[];this.variableNames.forEach(a=>{n.push( ` vec4 v$ { a } = get$ { a } AtOutCoords ( ) ; ` )});let r=this.variableNames.map(a=> ` v$ { a } ` ).join(" + ");this.userCode= `
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void main ( ) {
$ { n . join ( `
` )}
vec4 result = $ { r } ;
setOutput ( result ) ;
}
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` }};function Ap(e){let{inputs:t,backend:n}=e,r=t;if(r.length===1)return On({inputs:{x:r[0]},backend:n});if(r.length>J().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let o=Math.floor(r.length/2),l=Ap({inputs:r.slice(0,o),backend:n}),c=Ap({inputs:r.slice(o),backend:n});return Ap({inputs:[l,c],backend:n})}let a=r.map(o=>o.dtype).reduce((o,l)=>rr(o,l)),s=r.map(o=>o.shape),i=J().getBool("WEBGL_PACK")?new NL(r[0].shape,s):new IL(r[0].shape,s);return n.runWebGLProgram(i,r,a)}var SL={kernelName:os,backendName:"webgl",kernelFunc:Ap};function TL(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,keepDims:i}=r,o=a.shape.length,l=v.parseAxisParam(s,a.shape),c=l,u=R.getAxesPermutation(c,o),h=a;u!=null&&(h=In({inputs:{x:a},backend:n,attrs:{perm:u}}),c=R.getInnerMostAxes(c.length,o)),R.assertAxesAreInnerMostDims("all",c,o);let[d,p]=R.computeOutAndReduceShapes(h.shape,c),f=v.sizeFromShape(p),m=ye({inputs:{x:h},backend:n,attrs:{shape:[-1,f]}}),A=_i(m,m.dtype,"all",n),y;if(i){let g=R.expandShapeToKeepDim(d,l);y=ye({inputs:{x:A},backend:n,attrs:{shape:g}})}else y=ye({inputs:{x:A},backend:n,attrs:{shape:d}});return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(A),u!=null&&n.disposeIntermediateTensorInfo(h),y}var CL={kernelName:kh,backendName:"webgl",kernelFunc:TL};function EL(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,keepDims:i}=r,o=a.shape.length,l=v.parseAxisParam(s,a.shape),c=l,u=R.getAxesPermutation(c,o),h=a;u!=null&&(h=In({inputs:{x:a},backend:n,attrs:{perm:u}}),c=R.getInnerMostAxes(c.length,o)),R.assertAxesAreInnerMostDims("any",c,o);let[d,p]=R.computeOutAndReduceShapes(h.shape,c),f=v.sizeFromShape(p),m=ye({inputs:{x:h},backend:n,attrs:{shape:[-1,f]}}),A=_i(m,m.dtype,"any",n),y;if(i){let g=R.expandShapeToKeepDim(d,l);y=ye({inputs:{x:A},backend:n,attrs:{shape:g}})}else y=ye({inputs:{x:A},backend:n,attrs:{shape:d}});return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(A),u!=null&&n.disposeIntermediateTensorInfo(h),y}var RL={kernelName:Ih,backendName:"webgl",kernelFunc:EL},ML=class{constructor(e,t,n){this.variableNames=["A"];let{windowSize:r,batchSize:a,outSize:s}=e;n||this.variableNames.push("bestIndicesA"),this.outputShape=[a,s];let i=t==="max"?">":"<",o=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = outIdx * $ { r } ;
int bestIndex = inOffset ;
float bestValue = getA ( batch , bestIndex ) ;
for ( int i = 0 ; i < $ { r } ; i ++ ) {
int inIdx = $ { o } ;
float candidate = getA ( batch , inIdx ) ;
if ( candidate $ { i } bestValue ) {
bestValue = candidate ;
bestIndex = inIdx ;
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}
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}
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setOutput ( float ( bestIndex ) ) ;
}
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` }},FL=class{constructor(e,t,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,v.assert(e.length>2,()=> ` Packed arg$ { n . charAt ( 0 ) . toUpperCase ( ) + n . slice ( 1 ) } supports only inputs with rank above 2. ` );let a=e[e.length-1],s=Math.ceil(a/t);this.outputShape=e.slice(0,-1),s>1&&this.outputShape.push(s),r||this.variableNames.push("bestIndicesA");let i=this.outputShape,o=i.length,l=ut(o),c=fn("coords",o),u,h;if(s===1){h=o+1;let N=ut(h);u= `
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$ { N } sourceLocR = $ { N } ( $ { c . join ( ) } , 0 ) ;
++ $ { c [ o - 1 ] } ;
$ { N } sourceLocG = $ { N } ( $ { c . join ( ) } , 0 ) ;
++ $ { c [ o - 2 ] } ;
$ { N } sourceLocA = $ { N } ( $ { c . join ( ) } , 0 ) ;
-- $ { c [ o - 1 ] } ;
$ { N } sourceLocB = $ { N } ( $ { c . join ( ) } , 0 ) ;
-- $ { c [ o - 2 ] } ; ` }else h=o,u= `
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$ { l } sourceLocR = coords ;
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++ $ { c [ o - 1 ] } ;
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$ { l } sourceLocG = coords ;
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++ $ { c [ o - 2 ] } ;
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$ { l } sourceLocA = coords ;
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-- $ { c [ o - 1 ] } ;
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$ { l } sourceLocB = coords ;
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-- $ { c [ o - 2 ] } ; ` ;let d=["x","y","z","w","u","v"].slice(0,h),p="."+d[h-1],f=d.map(N=>"int "+N),m=fn("sourceLocR",h-1).concat("inIdx.r"),A=fn("sourceLocG",h-1).concat("inIdx.g"),y=fn("sourceLocB",h-1).concat("inIdx.b"),g=fn("sourceLocA",h-1).concat("inIdx.a"),w=n==="max"?"greaterThan":"lessThan",b=r?"": `
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inIdx = round ( vec4 ( getBestIndicesAChannel ( $ { m . join ( ) } ) ,
getBestIndicesAChannel ( $ { A . join ( ) } ) ,
getBestIndicesAChannel ( $ { y . join ( ) } ) ,
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getBestIndicesAChannel ( $ { g . join ( ) } ) ) ) ; ` ,_= ` vec4 (
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getAChannel ( $ { m . join ( ) } ) ,
hasNextCol ? getAChannel ( $ { A . join ( ) } ) : 0. ,
hasNextRow ? getAChannel ( $ { y . join ( ) } ) : 0. ,
hasNextRow && hasNextCol ? getAChannel ( $ { g . join ( ) } ) : 0. ) ` ,x=r?"": `
float getBestIndicesAChannel ( $ { f . join ( ) } ) {
return getChannel ( getBestIndicesA ( $ { d . join ( ) } ) ,
vec2 ( $ { d . slice ( - 2 ) . join ( ) } ) ) ;
} ` ;this.userCode= `
float getAChannel ( $ { f . join ( ) } ) {
return getChannel ( getA ( $ { d . join ( ) } ) ,
vec2 ( $ { d . slice ( - 2 ) . join ( ) } ) ) ;
}
$ { x }
void main ( ) {
$ { l } coords = getOutputCoords ( ) ;
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bool hasNextCol = $ { c [ o - 1 ] } < $ { i [ o - 1 ] - 1 } ;
bool hasNextRow = $ { c [ o - 2 ] } < $ { i [ o - 2 ] - 1 } ;
$ { u }
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ivec4 srcIdx = ivec4 ( sourceLocR$ { p } , sourceLocG$ { p } ,
sourceLocB$ { p } , sourceLocA$ { p } ) * $ { t } ;
ivec4 inIdx = srcIdx ;
vec4 bestIndex = vec4 ( inIdx ) ;
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vec4 bestValue = $ { _ } ;
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for ( int i = 0 ; i < $ { t } ; i ++ ) {
inIdx = srcIdx ;
$ { b }
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vec4 candidate = $ { _ } ;
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bvec4 nan = isnan ( candidate ) ;
bvec4 replace = bvec4 (
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vec4 ( $ { w } ( candidate , bestValue ) ) * ( vec4 ( 1.0 ) - vec4 ( nan ) ) ) ;
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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 ++ ;
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}
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setOutput ( bestIndex ) ;
}
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` }};function e_(e,t,n,r=null){let a=t.shape[0],s=t.shape[1];r!=null&&(a=r.shape[0],s=r.shape[1]);let i=R.computeOptimalWindowSize(s),o={windowSize:i,inSize:s,batchSize:a,outSize:Math.ceil(s/i)},l=new ML(o,n,r==null),c=[t];r!=null&&c.push(r);let u=e.runWebGLProgram(l,c,"int32");if(u.shape[1]===1)return u;let h=e_(e,t,n,u);return e.disposeIntermediateTensorInfo(u),h}function t_(e,t,n,r=null){let a=r!=null?r.shape:t.shape,s=a[a.length-1],i=R.computeOptimalWindowSize(s),o=new FL(a,i,n,r==null),l=r==null?[t]:[t,r],c=e.runWebGLProgram(o,l,"int32");if(c.shape.length===t.shape.length){let u=t_(e,t,n,c);return e.disposeIntermediateTensorInfo(c),u}return c}function n_(e,t,n,r){let a=[n];if(R.assertAxesAreInnerMostDims("arg"+r.charAt(0).toUpperCase()+r.slice(1),a,t.shape.length),!J().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let s=[],[i,o]=R.computeOutAndReduceShapes(t.shape,a),l=v.sizeFromShape(o),c=ye({inputs:{x:t},backend:e,attrs:{shape:[-1,l]}});s.push(c);let u=e_(e,c,r);s.push(u);let h=ye({inputs:{x:u},backend:e,attrs:{shape:i}});return s.forEach(d=>e.disposeIntermediateTensorInfo(d)),h}return t_(e,t,r)}function $ L(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s}=r,i=v.parseAxisParam(s,a.shape),o=R.getAxesPermutation(i,a.shape.length),l=a,c=[];o!=null&&(l=In({inputs:{x:a},backend:n,attrs:{perm:o}}),c.push(l),i=R.getInnerMostAxes(i.length,l.shape.length)),R.assertAxesAreInnerMostDims("argMax",[i[0]],l.shape.length);let u=n_(n,l,i[0],"max");return c.forEach(h=>n.disposeIntermediateTensorInfo(h)),u}var DL={kernelName:ls,backendName:"webgl",kernelFunc: $ L};function OL(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s}=r,i=v.parseAxisParam(s,a.shape),o=R.getAxesPermutation(i,a.shape.length),l=a,c=[];o!=null&&(l=In({inputs:{x:a},backend:n,attrs:{perm:o}}),c.push(l),i=R.getInnerMostAxes(i.length,l.shape.length)),R.assertAxesAreInnerMostDims("argMin",[i[0]],l.shape.length);let u=n_(n,l,i[0],"min");return c.forEach(h=>n.disposeIntermediateTensorInfo(h)),u}var zL={kernelName:uu,backendName:"webgl",kernelFunc:OL},PL=xr+ `
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if ( abs ( x ) > 1. ) {
return NAN ;
}
return asin ( x ) ;
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` ,LL=Ze({opSnippet:PL}),WL={kernelName:Qi,backendName:"webgl",kernelFunc:LL},BL=xr+"return log(x + sqrt(x * x + 1.0));",VL=Ze({opSnippet:BL}),UL={kernelName:eo,backendName:"webgl",kernelFunc:VL},jL=xr+ `
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return atan ( x ) ;
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` ,HL=Ze({opSnippet:jL}),GL={kernelName:to,backendName:"webgl",kernelFunc:HL},qL=eL+ `
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return atan ( a , b ) ;
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` ,XL= `
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vec4 result = atan ( a , b ) ;
vec4 isNaN = min ( vec4 ( isnan ( a ) ) + vec4 ( isnan ( b ) ) , vec4 ( 1.0 ) ) ;
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` +tL+ `
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return result ;
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` ,KL=nn({opSnippet:qL,packedOpSnippet:XL}),ZL={kernelName:ro,backendName:"webgl",kernelFunc:KL},YL=xr+ `
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if ( ( x < - 1.0 ) || ( x > 1.0 ) ) return NAN ;
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return ( log ( 1.0 + x ) - log ( 1.0 - x ) ) / 2.0 ; ` ,JL=Ze({opSnippet:YL}),QL={kernelName:no,backendName:"webgl",kernelFunc:JL},dc=class{constructor(e,t,n,r=!1,a=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideHeight,o=e.strideWidth,l=e.dilationHeight,c=e.dilationWidth,u=e.effectiveFilterHeight,h=e.effectiveFilterWidth,d=e.padInfo.top,p=e.padInfo.left;this.outputShape=e.outShape;let f=t==="avg",m= ` ( ( batch * $ { e . inHeight } + xR ) * $ { e . inWidth } + xC ) * $ { e . inChannels } + d ` ,A= ` ( xR * $ { e . inWidth } + xC ) * $ { e . inChannels } + d ` ,y="0.0";if(f||(y="-1.0 / 1e-20"),n){let N=">=";this.userCode= `
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const ivec2 strides = ivec2 ( $ { i } , $ { o } ) ;
const ivec2 pads = ivec2 ( $ { d } , $ { p } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
float minMaxValue = 0.0 ;
float minMaxValueFound = 0.0 ;
int minMaxPosition = 0 ;
float avgValue = 0.0 ;
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for ( int wR = 0 ; wR < $ { u } ;
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wR += $ { l } ) {
int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
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}
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for ( int wC = 0 ; wC < $ { h } ;
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wC += $ { c } ) {
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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 ) ;
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if ( value $ { N } currMinMaxValue ) {
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minMaxValue = value ;
minMaxValueFound = 1.0 ;
minMaxPosition = $ { r ? a ? m : A : ` wR * ${ h } + wC ` } ;
}
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}
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}
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setOutput ( float ( minMaxPosition ) ) ;
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}
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` ;return}let g="max",w= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="avg"&&(w="avgValue / count");let b=Math.floor(s/4)*4,_=s%4,x= `
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if ( $ { f } ) {
avgValue += dot ( values , ones ) ;
} else {
minMaxValue = $ { g } ( values , minMaxValue ) ;
}
` ;this.userCode= `
const ivec2 strides = ivec2 ( $ { i } , $ { o } ) ;
const ivec2 pads = ivec2 ( $ { d } , $ { p } ) ;
const float initializationValue = $ { y } ;
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 ;
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}
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count += 1.0 ;
return getX ( batch , xR , xC , d ) ;
}
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
vec4 minMaxValue = vec4 ( $ { y } ) ;
float avgValue = 0.0 ;
count = 0.0 ;
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for ( int wR = 0 ; wR < $ { u } ;
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wR += $ { l } ) {
int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
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}
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for ( int wC = 0 ; wC < $ { b } ; wC += 4 ) {
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int xC = xCCorner + wC * $ { c } ;
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vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
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getValue ( batch , xR , xC + $ { c } , d ) ,
getValue ( batch , xR , xC + 2 * $ { c } , d ) ,
getValue ( batch , xR , xC + 3 * $ { c } , d )
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) ;
$ { x }
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}
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int xC = xCCorner + $ { b } ;
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if ( $ { _ === 1 } ) {
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vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
$ { x }
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} else if ( $ { _ === 2 } ) {
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vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
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getValue ( batch , xR , xC + $ { c } , d ) ,
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initializationValue ,
initializationValue
) ;
$ { x }
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} else if ( $ { _ === 3 } ) {
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vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
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getValue ( batch , xR , xC + $ { c } , d ) ,
getValue ( batch , xR , xC + 2 * $ { c } , d ) ,
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initializationValue
) ;
$ { x }
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}
}
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setOutput ( $ { w } ) ;
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}
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` }},nA=class{constructor(e,t,n,r=!1,a=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideDepth,o=e.strideHeight,l=e.strideWidth,c=e.dilationDepth,u=e.dilationHeight,h=e.dilationWidth,d=e.effectiveFilterDepth,p=e.effectiveFilterHeight,f=e.effectiveFilterWidth,m=e.padInfo.front,A=e.padInfo.top,y=e.padInfo.left;this.outputShape=e.outShape;let g=t==="avg",w="0.0";if(g||(w="-1.0 / 1e-20"),n){let C=">=";this.userCode= `
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const ivec3 strides =
ivec3 ( $ { i } , $ { o } , $ { l } ) ;
const ivec3 pads = ivec3 ( $ { m } , $ { A } , $ { y } ) ;
void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
ivec3 xCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xDCorner = xCorner . x ;
int xRCorner = xCorner . y ;
int xCCorner = xCorner . z ;
// max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).
// ? = to be determined
float minMaxValue = 0.0 ;
float minMaxValueFound = 0.0 ;
int minMaxPosition = 0 ;
for ( int wD = 0 ; wD < $ { d } ;
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wD += $ { c } ) {
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int xD = xDCorner + wD ;
if ( xD < 0 || xD >= $ { e . inDepth } ) {
continue ;
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}
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for ( int wR = 0 ; wR < $ { p } ;
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wR += $ { u } ) {
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int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
for ( int wC = 0 ; wC < $ { f } ;
wC += $ { h } ) {
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 ) ;
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if ( value $ { C } currMinMaxValue ) {
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minMaxValue = value ;
minMaxValueFound = 1.0 ;
minMaxPosition = $ { r ? a ? ` (((batch * ${ e . inDepth } + xD) * ${ e . inHeight } + xR) * ${ e . inWidth } + xC) * ${ e . inChannels } + ch ` : ` ((xD * ${ e . inHeight } + xR) * ${ e . inWidth } + xC) * ${ e . inChannels } + ch ` : ` wD * ${ p } * ${ f } +
wR * $ { f } + wC ` };
}
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}
}
}
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setOutput ( float ( minMaxPosition ) ) ;
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}
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` ;return}let b="max",_= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="avg"&&(_="avgValue / count");let x=Math.floor(s/4)*4,N=s%4,T= `
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if ( $ { g } ) {
avgValue += dot ( values , ones ) ;
} else {
minMaxValue = $ { b } ( values , minMaxValue ) ;
}
` ;this.userCode= `
const ivec3 strides =
ivec3 ( $ { i } , $ { o } , $ { l } ) ;
const ivec3 pads = ivec3 ( $ { m } , $ { A } , $ { y } ) ;
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const float initializationValue = $ { w } ;
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const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
float count = 0.0 ;
float getValue ( int batch , int xD , int xR , int xC , int ch ) {
if ( xC < 0 || xC >= $ { e . inWidth } ) {
return initializationValue ;
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}
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count += 1.0 ;
return getX ( batch , xD , xR , xC , ch ) ;
}
void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
ivec3 xCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xDCorner = xCorner . x ;
int xRCorner = xCorner . y ;
int xCCorner = xCorner . z ;
// max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).
// ? = to be determined
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vec4 minMaxValue = vec4 ( $ { w } ) ;
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float avgValue = 0.0 ;
count = 0.0 ;
for ( int wD = 0 ; wD < $ { d } ;
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wD += $ { c } ) {
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int xD = xDCorner + wD ;
if ( xD < 0 || xD >= $ { e . inDepth } ) {
continue ;
}
for ( int wR = 0 ; wR < $ { p } ;
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wR += $ { u } ) {
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int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
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continue ;
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}
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for ( int wC = 0 ; wC < $ { x } ; wC += 4 ) {
int xC = xCCorner + wC * $ { h } ;
vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
getValue ( batch , xD , xR , xC + $ { h } , ch ) ,
getValue ( batch , xD , xR , xC + 2 * $ { h } , ch ) ,
getValue ( batch , xD , xR , xC + 3 * $ { h } , ch )
) ;
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$ { T }
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}
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int xC = xCCorner + $ { x } ;
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if ( $ { N === 1 } ) {
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
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$ { T }
} else if ( $ { N === 2 } ) {
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
getValue ( batch , xD , xR , xC + $ { h } , ch ) ,
initializationValue ,
initializationValue
) ;
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$ { T }
} else if ( $ { N === 3 } ) {
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
getValue ( batch , xD , xR , xC + $ { h } , ch ) ,
getValue ( batch , xD , xR , xC + 2 * $ { h } , ch ) ,
initializationValue
) ;
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$ { T }
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}
}
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setOutput ( $ { _ } ) ;
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}
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}
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` }};function eW(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t;vl(a,"avgPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=r,c=1;v.assert(R.eitherStridesOrDilationsAreOne(i,c),()=> ` Error in avgPool : Either strides or dilations must be 1. Got strides $ { i } and dilations '${c}' ` );let u=R.computePool2DInfo(a.shape,s,i,c,o,l);if(u.filterWidth===1&&u.filterHeight===1&&v.arraysEqual(u.inShape,u.outShape))return On({inputs:{x:a},backend:n});let h=new dc(u,"avg",!1);return n.runWebGLProgram(h,[a],"float32")}var tW={kernelName:us,backendName:"webgl",kernelFunc:eW};function nW(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:c}=r,u=[1,1,1],h=R.computePool3DInfo(a.shape,s,i,u,o,l,c),d=new nA(h,"avg",!1);return n.runWebGLProgram(d,[a],"float32")}var rW={kernelName:cu,backendName:"webgl",kernelFunc:nW},aW=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterHeight,l=e.effectiveFilterWidth,c=o-1-e.padInfo.top,u=l-1-e.padInfo.left,h=1/(t*n);this.userCode= `
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const ivec2 pads = ivec2 ( $ { c } , $ { u } ) ;
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const float avgMultiplier = float ( $ { h } ) ;
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 < $ { o } ;
wR += $ { s } ) {
float dyR = float ( dyRCorner + wR ) / $ { r } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
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}
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int idyR = int ( dyR ) ;
for ( int wC = 0 ; wC < $ { l } ;
wC += $ { i } ) {
float dyC = float ( dyCCorner + wC ) / $ { a } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
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}
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int idyC = int ( dyC ) ;
float dyValue = getDy ( b , idyR , idyC , d ) ;
dotProd += dyValue * avgMultiplier ;
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}
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}
setOutput ( dotProd ) ;
}
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` }},sW=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,a=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,c=e.dilationWidth,u=e.effectiveFilterDepth,h=e.effectiveFilterHeight,d=e.effectiveFilterWidth,p=u-1-e.padInfo.front,f=h-1-e.padInfo.top,m=d-1-e.padInfo.left,A=1/(t*n*r);this.userCode= `
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const ivec3 pads = ivec3 ( $ { p } , $ { f } , $ { m } ) ;
const float avgMultiplier = float ( $ { A } ) ;
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 ;
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for ( int wD = 0 ; wD < $ { u } ;
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wD += $ { o } ) {
float dyD = float ( dyDCorner + wD ) / $ { a } . 0 ;
if ( dyD < 0.0 || dyD >= $ { e . outDepth } . 0 || fract ( dyD ) > 0.0 ) {
continue ;
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}
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int idyD = int ( dyD ) ;
for ( int wR = 0 ; wR < $ { h } ;
wR += $ { l } ) {
float dyR = float ( dyRCorner + wR ) / $ { s } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
continue ;
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}
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int idyR = int ( dyR ) ;
for ( int wC = 0 ; wC < $ { d } ;
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wC += $ { c } ) {
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float dyC = float ( dyCCorner + wC ) / $ { i } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
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}
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int idyC = int ( dyC ) ;
float dyValue = getDy ( batch , idyD , idyR , idyC , ch ) ;
dotProd += dyValue * avgMultiplier ;
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}
}
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}
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setOutput ( dotProd ) ;
}
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` }};function iW(e){let{inputs:t,backend:n,attrs:r}=e,{dy:a,input:s}=t,i=s,{filterSize:o,strides:l,pad:c,dimRoundingMode:u}=r,h=[1,1,1],d=R.computePool3DInfo(i.shape,o,l,h,c,u),p=new sW(d);return n.runWebGLProgram(p,[a],i.dtype)}var oW={kernelName:Sh,backendName:"webgl",kernelFunc:iW};function lW(e){let{inputs:t,backend:n,attrs:r}=e,{dy:a,input:s}=t,i=s;vl([a,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:c}=r,u=R.computePool2DInfo(i.shape,o,l,1,c),h=new aW(u);return n.runWebGLProgram(h,[a],i.dtype)}var uW={kernelName:Nh,backendName:"webgl",kernelFunc:lW};function cW(e){let{inputs:t,backend:n,attrs:r}=e,{a,b:s}=t,{transposeA:i,transposeB:o}=r;return mp({a,b:s,transposeA:i,transposeB:o,backend:n})}var hW={kernelName:cs,backendName:"webgl",kernelFunc:cW},dW=class{constructor(e,t,n,r,a,s){this.outputShape=[],this.variableNames=["x","mean","variance"],R.assertAndGetBroadcastShape(e,t),R.assertAndGetBroadcastShape(e,n);let i="0.0";r!=null&&(R.assertAndGetBroadcastShape(e,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="1.0";a!=null&&(R.assertAndGetBroadcastShape(e,a),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode= `
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void main ( ) {
float x = getXAtOutCoords ( ) ;
float mean = getMeanAtOutCoords ( ) ;
float variance = getVarianceAtOutCoords ( ) ;
float offset = $ { i } ;
float scale = $ { o } ;
float inv = scale * inversesqrt ( variance + float ( $ { s } ) ) ;
setOutput ( dot ( vec3 ( x , - mean , offset ) , vec3 ( inv , inv , 1 ) ) ) ;
}
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` }},pW=class{constructor(e,t,n,r,a,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],R.assertAndGetBroadcastShape(e,t),R.assertAndGetBroadcastShape(e,n);let i="vec4(0.0)";r!=null&&(R.assertAndGetBroadcastShape(e,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="vec4(1.0)";a!=null&&(R.assertAndGetBroadcastShape(e,a),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode= `
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void main ( ) {
vec4 offset = $ { i } ;
vec4 scale = $ { o } ;
vec4 x = getXAtOutCoords ( ) ;
vec4 mean = getMeanAtOutCoords ( ) ;
vec4 variance = getVarianceAtOutCoords ( ) ;
vec4 inv = scale * inversesqrt ( variance + vec4 ( $ { s } ) ) ;
setOutput ( ( x - mean ) * inv + offset ) ;
}
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` }},fW=({inputs:e,backend:t,attrs:n})=>{let{x:r,mean:a,variance:s,offset:i,scale:o}=e;v.assert(a.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),v.assert(i==null||a.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),v.assert(o==null||a.shape.length===o.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:l}=n;l==null&&(l=.001);let c=[r,a,s],u=null;i!=null&&(u=i.shape,c.push(i));let h=null;o!=null&&(h=o.shape,c.push(o));let d=J().getBool("WEBGL_PACK_NORMALIZATION")?new pW(r.shape,a.shape,s.shape,u,h,l):new dW(r.shape,a.shape,s.shape,u,h,l);return t.runWebGLProgram(d,c,c[0].dtype)},mW={kernelName:_s,backendName:"webgl",kernelFunc:fW},yW=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=ut(this.rank),n= ` uniform int start [ $ { this . rank } ] ; ` ,r=AW(this.rank),a,s=e.map((i,o)=> ` sourceLoc . $ { rA [ o ] } = start [ $ { o } ] + coords . $ { rA [ o ] } ; ` );a= `
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$ { t } sourceLoc ;
$ { t } coords = getOutputCoords ( ) ;
$ { s . join ( `
` )}
` ,this.userCode= `
$ { n }
void main ( ) {
$ { a }
setOutput ( getSource ( $ { r } ) ) ;
}
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` }getCustomSetupFunc(e){if(e.length!==this.rank)throw Error( ` The rank ( $ { this . rank } ) of the program must match the length of start ( $ { e . length } ) ` );return(t,n)=>{this.startLoc==null&&(this.startLoc=t.getUniformLocationNoThrow(n,"start"),this.startLoc==null)||t.gl.uniform1iv(this.startLoc,e)}}},rA=["x","y","z","w","u","v"];function AW(e){if(e===1)return"sourceLoc";if(e<=6)return rA.slice(0,e).map(t=>"sourceLoc."+t).join(",");throw Error( ` Slicing for rank $ { e } is not yet supported ` )}var gW=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length;let t=ut(this.rank),n=fn("coords",this.rank),r=fn("sourceLoc",this.rank),a=this.rank===1?"sourceLoc": ` vec2 ( $ { r . slice ( - 2 ) . join ( ) } ) ` ,s= ` getChannel ( getSource ( $ { r . join ( ) } ) , $ { a } ) ` ,i= `
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result . x = $ { s } ;
if ( ++ $ { n [ this . rank - 1 ] } < $ { e [ this . rank - 1 ] } ) {
++ $ { r [ this . rank - 1 ] } ;
result . y = $ { s } ;
-- $ { r [ this . rank - 1 ] } ;
}
` ,o=this.rank===1?"": `
-- $ { n [ this . rank - 1 ] } ;
if ( ++ $ { n [ this . rank - 2 ] } < $ { e [ this . rank - 2 ] } ) {
++ $ { r [ this . rank - 2 ] } ;
result . z = $ { s } ;
if ( ++ $ { n [ this . rank - 1 ] } < $ { e [ this . rank - 1 ] } ) {
++ $ { r [ this . rank - 1 ] } ;
result . w = $ { s } ;
}
}
` ,l=this.rank<=4? ` sourceLoc = coords +
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$ { t } ( $ { e . map ( ( c , u ) => ` start[ ${ u } ] ` ) . join ( ) } ) ; ` :e.map((c,u)=> ` $ { r [ u ] } = $ { n [ u ] } + start [ $ { u } ] ; ` ).join( `
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` );this.userCode= `
uniform int start [ $ { this . rank } ] ;
void main ( ) {
$ { t } coords = getOutputCoords ( ) ;
$ { t } sourceLoc ;
$ { l }
vec4 result = vec4 ( 0. ) ;
$ { i }
$ { o }
setOutput ( result ) ;
}
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` }getCustomSetupFunc(e){if(e.length!==this.rank)throw Error( ` The rank ( $ { this . rank } ) of the program must match the length of start ( $ { e . length } ) ` );return(t,n)=>{this.startLoc==null&&(this.startLoc=t.getUniformLocationNoThrow(n,"start"),this.startLoc==null)||t.gl.uniform1iv(this.startLoc,e)}}};function xW(e,t,n,r){let a=r.texData.get(e.dataId),s=r.makeTensorInfo(n,e.dtype),i=r.texData.get(s.dataId);Object.assign(i,a),i.refCount=1,i.shape=n,i.dtype=e.dtype;let o=un.computeFlatOffset(t,v.computeStrides(e.shape));a.slice&&(o+=a.slice.flatOffset),i.slice={flatOffset:o,origDataId:a.slice&&a.slice.origDataId||e.dataId};let l=r.dataRefCount.get(i.slice.origDataId)||1;return r.dataRefCount.set(i.slice.origDataId,l+1),s}function pc(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{begin:s,size:i}=r,[o,l]=un.parseSliceParams(a,s,i);if(un.assertParamsValid(a,o,l),v.sizeFromShape(l)===0)return n.makeTensorInfo(l,a.dtype,[]);if(n.shouldExecuteOnCPU([a])||a.dtype==="string"){let h=n.texData.get(a.dataId),d=pP(h.values,o,l,a.shape,a.dtype);return n.makeTensorInfo(l,a.dtype,d)}let{isPacked:c}=n.texData.get(a.dataId),u=un.isSliceContinous(a.shape,o,l);if(c||!u){let h=J().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new gW(l):new yW(l),d=h.getCustomSetupFunc(o);return n.runWebGLProgram(h,[a],a.dtype,d)}return n.uploadToGPU(a.dataId),xW(a,o,l,n)}var wW={kernelName:Lo,backendName:"webgl",kernelFunc:pc},bW=e=>{let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{blockShape:s,crops:i}=r;v.assert(a.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((g,w)=>g*w),l=R.getReshaped(a.shape,s,o),c=R.getPermuted(l.length,s.length),u=R.getReshapedPermuted(a.shape,s,o),h=R.getSliceBeginCoords(i,s.length),d=R.getSliceSize(u,i,s.length),p=[],f=ye({inputs:{x:a},backend:n,attrs:{shape:l}}),m=In({inputs:{x:f},backend:n,attrs:{perm:c}}),A=ye({inputs:{x:m},backend:n,attrs:{shape:u}}),y=pc({inputs:{x:A},backend:n,attrs:{begin:h,size:d}});return p.push(f),p.push(m),p.push(A),p.forEach(g=>n.disposeIntermediateTensorInfo(g)),y},_W={kernelName:hu,backendName:"webgl",kernelFunc:bW};function vW(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,weights:s}=t,{size:i}=r,o=n.readSync(a.dataId),l=n.readSync(s.dataId),c=Cb(o,l,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,c)}var kW={kernelName:Th,backendName:"webgl",kernelFunc:vW},IW="return float(a != b);",r_=nn({opSnippet:IW,dtype:"bool"}),NW={kernelName:So,backendName:"webgl",kernelFunc:r_};function fc(e){let{inputs:t,backend:n}=e,{input:r}=t,a=n.texData.get(r.dataId);return On({inputs:{x:a.complexTensorInfos.real},backend:n})}var SW={kernelName:Kh,backendName:"webgl",kernelFunc:fc},TW="return float(int(x));";function CW(e,t){let n=new Ba(e.shape,TW),r=t.runWebGLProgram(n,[e],"int32");return{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}function aA(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{dtype:s}=r;if(s==="complex64"){if(a.dtype==="complex64")return On({inputs:{x:a},backend:n});let i=Mt(a.shape),o=aA({inputs:{x:a},backend:n,attrs:{dtype:"float32"}}),l=Va({inputs:{real:o,imag:i},backend:n});return i.dispose(),n.disposeIntermediateTensorInfo(o),l}if(a.dtype==="complex64"){let i=fc({inputs:{input:a},backend:n}),o=aA({inputs:{x:i},backend:n,attrs:{dtype:s}});return n.disposeIntermediateTensorInfo(i),o}if(!v.hasEncodingLoss(a.dtype,s)){let i=On({inputs:{x:a},backend:n});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(s==="int32")return CW(a,n);if(s==="bool"){let i=n.makeTensorInfo([],"bool",v.getTypedArrayFromDType("bool",1)),o=r_({inputs:{a,b:i},backend:n});return n.disposeIntermediateTensorInfo(i),o}throw new Error( ` Error in Cast : failed to cast $ { a . dtype } to $ { s } ` )}var EW={kernelName:hs,backendName:"webgl",kernelFunc:aA},a_="return ceil(x);",RW=Ze({opSnippet:a_,packedOpSnippet:a_,cpuKernelImpl:Kz}),MW={kernelName:ds,backendName:"webgl",kernelFunc:RW},FW=class{constructor(e){this.variableNames=["A"],this.outputShape=e,this.userCode= `
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uniform float minVal ;
uniform float maxVal ;
void main ( ) {
float value = getAAtOutCoords ( ) ;
if ( isnan ( value ) ) {
setOutput ( value ) ;
return ;
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}
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setOutput ( clamp ( value , minVal , maxVal ) ) ;
}
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` }getCustomSetupFunc(e,t){return(n,r)=>{this.minLoc==null&&(this.minLoc=n.getUniformLocationNoThrow(r,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(r,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}}, $ W=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode= `
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uniform float minVal ;
uniform float maxVal ;
void main ( ) {
vec4 value = getAAtOutCoords ( ) ;
if ( any ( isnan ( value ) ) ) {
setOutput ( value ) ;
return ;
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}
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setOutput ( clamp ( value , vec4 ( minVal ) , vec4 ( maxVal ) ) ) ;
}
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` }getCustomSetupFunc(e,t){return(n,r)=>{this.minLoc==null&&(this.minLoc=n.getUniformLocationNoThrow(r,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(r,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}};function DW(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{clipValueMin:s,clipValueMax:i}=r,o;J().getBool("WEBGL_PACK_CLIP")?o=new $ W(a.shape):o=new FW(a.shape);let l=o.getCustomSetupFunc(s,i);return n.runWebGLProgram(o,[a],a.dtype,l)}var OW={kernelName:Na,backendName:"webgl",kernelFunc:DW},zW=class{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode= `
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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 ) )
) ;
}
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` }};function s_(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}function PW(e){let{inputs:t,backend:n}=e,{x:r}=t,a=n.texData.get(r.dataId),s=new zW(r.shape),i=[s_(r,a.complexTensorInfos.real),s_(r,a.complexTensorInfos.imag)];return n.runWebGLProgram(s,i,i[0].dtype)}var LW={kernelName:du,backendName:"webgl",kernelFunc:PW},WW=class{constructor(e){this.outputShape=[],this.outputShape=R.computeOutShape(e,1),this.variableNames=e.map((s,i)=> ` T$ { i } ` );let t=new Array(e.length-1);t[0]=e[0][1];for(let s=1;s<t.length;s++)t[s]=t[s-1]+e[s][1];let n=[ ` if ( yC < $ { t [ 0 ] } ) setOutput ( getT0 ( yR , yC ) ) ; ` ];for(let s=1;s<t.length;s++){let i=t[s-1];n.push( ` else if ( yC < $ { t [ s ] } ) setOutput ( getT$ { s } ( yR , yC - $ { i } ) ) ; ` )}let r=t.length,a=t[t.length-1];n.push( ` else setOutput ( getT$ { r } ( yR , yC - $ { a } ) ) ; ` ),this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int yR = coords . x ;
int yC = coords . y ;
$ { n . join ( `
` )}
}
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` }},BW=class{constructor(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=R.computeOutShape(e,t);let n=this.outputShape,r=n.length,a=ut(r),s=fn("coords",r),i=["x","y","z","w","u","v"].slice(0,r);this.variableNames=e.map((f,m)=> ` T$ { m } ` );let o=new Array(e.length-1);o[0]=e[0][t];for(let f=1;f<o.length;f++)o[f]=o[f-1]+e[f][t];let l=i[t],c=i.slice(-2),u=i.join(),h= ` if ( $ { l } < $ { o [ 0 ] } ) {
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return getChannel (
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getT0 ( $ { u } ) , vec2 ( $ { c . join ( ) } ) ) ;
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} ` ;for(let f=1;f<o.length;f++){let m=o[f-1];h+= `
if ( $ { l } < $ { o [ f ] } && $ { l } >= $ { o [ f - 1 ] } ) {
return getChannel (
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getT$ { f } ( $ { yp ( i , l , m ) } ) ,
vec2 ( $ { yp ( c , l , m ) } ) ) ;
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} ` }let d=o.length,p=o[o.length-1];h+= `
return getChannel (
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getT$ { d } ( $ { yp ( i , l , p ) } ) ,
vec2 ( $ { yp ( c , l , p ) } ) ) ; ` ,this.userCode= `
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float getValue ( $ { i . map ( f => "int " + f ) } ) {
$ { h }
}
void main ( ) {
$ { a } coords = getOutputCoords ( ) ;
vec4 result = vec4 ( getValue ( $ { s } ) , 0. , 0. , 0. ) ;
$ { s [ r - 1 ] } = $ { s [ r - 1 ] } + 1 ;
if ( $ { s [ r - 1 ] } < $ { n [ r - 1 ] } ) {
result . g = getValue ( $ { s } ) ;
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}
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$ { s [ r - 2 ] } = $ { s [ r - 2 ] } + 1 ;
if ( $ { s [ r - 2 ] } < $ { n [ r - 2 ] } ) {
result . a = getValue ( $ { s } ) ;
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}
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$ { s [ r - 1 ] } = $ { s [ r - 1 ] } - 1 ;
if ( $ { s [ r - 2 ] } < $ { n [ r - 2 ] } &&
$ { s [ r - 1 ] } < $ { n [ r - 1 ] } ) {
result . b = getValue ( $ { s } ) ;
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}
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setOutput ( result ) ;
}
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` }};function yp(e,t,n){let r=e.indexOf(t);return e.map((a,s)=>s===r? ` $ { a } - $ { n } ` :a).join()}function gp(e){let{inputs:t,backend:n}=e,{input:r}=t,a=n.texData.get(r.dataId);return On({inputs:{x:a.complexTensorInfos.imag},backend:n})}var VW={kernelName:Vh,backendName:"webgl",kernelFunc:gp};function Ml(e,t,n){let r=e[0].dtype;if(r==="complex64"){let c=e.map(f=>fc({inputs:{input:f},backend:n})),u=e.map(f=>gp({inputs:{input:f},backend:n})),h=Ml(c,t,n),d=Ml(u,t,n),p=Va({inputs:{real:h,imag:d},backend:n});return c.forEach(f=>n.disposeIntermediateTensorInfo(f)),u.forEach(f=>n.disposeIntermediateTensorInfo(f)),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(d),p}if(r==="string"){let{tensors2D:c,outShape:u}=i_(e,t,n),h=c.map(A=>({vals:n.readSync(A.dataId),shape:A.shape})),d=c[0].shape[0]===1,p=Zz(h,u,r,d),f=R.computeOutShape(e.map(A=>A.shape),t),m=n.makeTensorInfo(f,r,p);return c.forEach(A=>n.disposeIntermediateTensorInfo(A)),m}if(e.length>J().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){let c=Math.floor(e.length/2),u=Ml(e.slice(0,c),t,n),h=Ml(e.slice(c),t,n),d=Ml([u,h],t,n);return n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(h),d}if(J().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].shape.length>1){let c=new BW(e.map(u=>u.shape),t);return n.runWebGLProgram(c,e,r)}let{tensors2D:a,outShape:s}=i_(e,t,n),i=new WW(a.map(c=>c.shape)),o=n.runWebGLProgram(i,a,r);a.forEach(c=>n.disposeIntermediateTensorInfo(c));let l=ye({inputs:{x:o},attrs:{shape:s},backend:n});return n.disposeIntermediateTensorInfo(o),l}function i_(e,t,n){let r=R.computeOutShape(e.map(a=>a.shape),t);return{tensors2D:e.map(a=>ye({inputs:{x:a},attrs:{shape:[-1,v.sizeFromShape(a.shape.slice(t))]},backend:n})),outShape:r}}function o_(e){let{inputs:t,backend:n,attrs:r}=e,{axis:a}=r,s=v.parseAxisParam(a,t[0].shape)[0],i=R.computeOutShape(t.map(c=>c.shape),s);if(v.sizeFromShape(i)===0)return n.makeTensorInfo(i,t[0].dtype,[]);let o=t.filter(c=>v.sizeFromShape(c.shape)>0);if(o.length===1)return On({inputs:{x:o[0]},backend:n});let l=o.map(c=>c.shape);return R.assertParamsConsistent(l,s),Ml(o,s,n)}var UW={kernelName:ao,backendName:"webgl",kernelFunc:o_},l_=class{constructor(e,t=!1,n=null,r=!1,a=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let s=e.padInfo.top,i=e.padInfo.left,o=e.strideHeight,l=e.strideWidth,c=e.dilationHeight,u=e.dilationWidth,h=e.filterHeight,d=e.filterWidth,p=Math.floor(e.inChannels/4)*4,f=e.inChannels%4,m=e.dataFormat==="channelsLast",A=m?1:2,y=m?2:3,g=m?3:1,w="",b="";n&&(r?w= ` float activation ( float a ) {
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float b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
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} ` :a?w= ` float activation ( float a ) {
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float b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
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} ` :w= `
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float activation ( float x ) {
$ { n }
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}
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` ,b="result = activation(result);");let _=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
$ { w }
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const ivec2 strides = ivec2 ( $ { o } , $ { l } ) ;
const ivec2 pads = ivec2 ( $ { s } , $ { i } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d2 = coords [ $ { g } ] ;
ivec2 xRCCorner =
ivec2 ( coords [ $ { A } ] , coords [ $ { y } ] ) * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
// Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { h } ; wR ++ ) {
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int xR = xRCorner + wR * $ { c } ;
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if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
for ( int wC = 0 ; wC < $ { d } ; wC ++ ) {
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int xC = xCCorner + wC * $ { u } ;
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if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
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}
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for ( int d1 = 0 ; d1 < $ { p } ; d1 += 4 ) {
vec4 wValues = vec4 (
getW ( wR , wC , d1 , d2 ) ,
getW ( wR , wC , d1 + 1 , d2 ) ,
getW ( wR , wC , d1 + 2 , d2 ) ,
getW ( wR , wC , d1 + 3 , d2 )
) ;
if ( $ { m } ) {
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 ) ;
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}
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}
if ( $ { f === 1 } ) {
if ( $ { m } ) {
dotProd +=
getX ( batch , xR , xC , $ { p } ) *
getW ( wR , wC , $ { p } , d2 ) ;
} else {
dotProd +=
getX ( batch , $ { p } , xR , xC ) *
getW ( wR , wC , $ { p } , d2 ) ;
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}
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} else if ( $ { f === 2 } ) {
vec2 wValues = vec2 (
getW ( wR , wC , $ { p } , d2 ) ,
getW ( wR , wC , $ { p } + 1 , d2 )
) ;
if ( $ { m } ) {
vec2 xValues = vec2 (
getX ( batch , xR , xC , $ { p } ) ,
getX ( batch , xR , xC , $ { p } + 1 )
) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec2 xValues = vec2 (
getX ( batch , $ { p } , xR , xC ) ,
getX ( batch , $ { p } + 1 , xR , xC )
) ;
dotProd += dot ( xValues , wValues ) ;
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}
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} else if ( $ { f === 3 } ) {
vec3 wValues = vec3 (
getW ( wR , wC , $ { p } , d2 ) ,
getW ( wR , wC , $ { p } + 1 , d2 ) ,
getW ( wR , wC , $ { p } + 2 , d2 )
) ;
if ( $ { m } ) {
vec3 xValues = vec3 (
getX ( batch , xR , xC , $ { p } ) ,
getX ( batch , xR , xC , $ { p } + 1 ) ,
getX ( batch , xR , xC , $ { p } + 2 )
) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec3 xValues = vec3 (
getX ( batch , $ { p } , xR , xC ) ,
getX ( batch , $ { p } + 1 , xR , xC ) ,
getX ( batch , $ { p } + 2 , xR , xC )
) ;
dotProd += dot ( xValues , wValues ) ;
}
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}
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}
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}
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float result = dotProd ;
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$ { _ }
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$ { b }
setOutput ( result ) ;
}
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` }},jW=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,n=e.padInfo.top,r=e.padInfo.left,a=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,c=e.dilationWidth,u=e.filterDepth,h=e.filterHeight,d=e.filterWidth,p=Math.floor(e.inChannels/4)*4,f=e.inChannels%4;this.userCode= `
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const ivec3 strides = ivec3 ( $ { a } , $ { s } , $ { i } ) ;
const ivec3 pads = ivec3 ( $ { t } , $ { n } , $ { r } ) ;
void main ( ) {
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 ;
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for ( int wF = 0 ; wF < $ { u } ; wF ++ ) {
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int xF = xFCorner + wF * $ { o } ;
if ( xF < 0 || xF >= $ { e . inDepth } ) {
continue ;
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}
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for ( int wR = 0 ; wR < $ { h } ; wR ++ ) {
int xR = xRCorner + wR * $ { l } ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
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}
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for ( int wC = 0 ; wC < $ { d } ; wC ++ ) {
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int xC = xCCorner + wC * $ { c } ;
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if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
for ( int d1 = 0 ; d1 < $ { p } ; d1 += 4 ) {
vec4 xValues = vec4 (
getX ( batch , xF , xR , xC , d1 ) ,
getX ( batch , xF , xR , xC , d1 + 1 ) ,
getX ( batch , xF , xR , xC , d1 + 2 ) ,
getX ( batch , xF , xR , xC , d1 + 3 )
) ;
vec4 wValues = vec4 (
getW ( wF , wR , wC , d1 , d2 ) ,
getW ( wF , wR , wC , d1 + 1 , d2 ) ,
getW ( wF , wR , wC , d1 + 2 , d2 ) ,
getW ( wF , wR , wC , d1 + 3 , d2 )
) ;
dotProd += dot ( xValues , wValues ) ;
}
if ( $ { f === 1 } ) {
dotProd +=
getX ( batch , xF , xR , xC , $ { p } ) *
getW ( wF , wR , wC , $ { p } , d2 ) ;
} else if ( $ { f === 2 } ) {
vec2 xValues = vec2 (
getX ( batch , xF , xR , xC , $ { p } ) ,
getX ( batch , xF , xR , xC , $ { p } + 1 )
) ;
vec2 wValues = vec2 (
getW ( wF , wR , wC , $ { p } , d2 ) ,
getW ( wF , wR , wC , $ { p } + 1 , d2 )
) ;
dotProd += dot ( xValues , wValues ) ;
} else if ( $ { f === 3 } ) {
vec3 xValues = vec3 (
getX ( batch , xF , xR , xC , $ { p } ) ,
getX ( batch , xF , xR , xC , $ { p } + 1 ) ,
getX ( batch , xF , xR , xC , $ { p } + 2 )
) ;
vec3 wValues = vec3 (
getW ( wF , wR , wC , $ { p } , d2 ) ,
getW ( wF , wR , wC , $ { p } + 1 , d2 ) ,
getW ( wF , wR , wC , $ { p } + 2 , d2 )
) ;
dotProd += dot ( xValues , wValues ) ;
}
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}
}
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}
setOutput ( dotProd ) ;
}
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` }},HW=class{constructor(e,t,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let{filterWidth:r,inChannels:a,strideWidth:s,strideHeight:i,padInfo:o,outWidth:l,dilationWidth:c,dilationHeight:u,dataFormat:h}=n,{left:d,top:p}=o,f=a*r,m=pn(),A=h==="channelsLast",y=A?0:1,g=A?1:2,w="";for(let b=0;b<=1;b++)for(let _=0;_<=1;_++)w+= `
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blockIndex = rc . y + $ { _ } ;
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pos = rc . x + $ { b } ;
if ( blockIndex < $ { e [ 1 ] } && pos < $ { e [ 0 ] } ) {
offsetY = int ( blockIndex / ( $ { l } ) ) * $ { i } - $ { p } ;
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d0 = offsetY + $ { u } * ( pos / $ { f } ) ;
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if ( d0 < $ { t [ y ] } && d0 >= 0 ) {
offsetX = int ( mod ( float ( blockIndex ) , $ { l } . ) * $ { s } . - $ { d } . ) ;
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d1 = offsetX + $ { c } * ( int ( mod ( float ( pos ) , $ { f } . ) / $ { a } . ) ) ;
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if ( d1 < $ { t [ g ] } && d1 >= 0 ) {
ch = int ( mod ( float ( pos ) , $ { a } . ) ) ;
if ( $ { A } ) {
innerDims = vec2 ( d1 , ch ) ;
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result [ $ { b * 2 + _ } ] = getChannel (
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getA ( d0 , int ( innerDims . x ) ,
int ( innerDims . y ) ) , innerDims ) ;
} else {
innerDims = vec2 ( d0 , d1 ) ;
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result [ $ { b * 2 + _ } ] = getChannel (
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getA ( ch , int ( innerDims . x ) ,
int ( innerDims . y ) ) , innerDims ) ;
}
}
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}
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}
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` ;this.userCode= `
void main ( ) {
ivec2 rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0 ) ;
int blockIndex , pos , offsetY , d0 , offsetX , d1 , ch ;
vec2 innerDims ;
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$ { w }
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$ { m . output } = result ;
}
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` }};function u_({x:e,filter:t,convInfo:n,backend:r,bias:a=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let l=e.shape,c=r.texData.get(e.dataId),u=n.inChannels,h=l[0]*l[1]*l[2],d=n.outChannels,p=n.dataFormat==="channelsLast",f=!1,m=!1,A,y=[],g=(h===1||d===1)&&u>Yb,w=l[2]%2!=0&&!!c.isPacked;if(g||!J().getBool("WEBGL_LAZILY_UNPACK")||!J().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!w){let b=p?l[0]*l[1]*l[2]:l[0]*l[2]*l[3],_=ye({inputs:{x:e},backend:r,attrs:{shape:[1,b,n.inChannels]}}),x=ye({inputs:{x:t},backend:r,attrs:{shape:[1,n.inChannels,n.outChannels]}}),N=mp({a:_,b:x,transposeA:f,transposeB:m,backend:r,bias:a,activation:o,preluActivationWeights:s,leakyreluAlpha:i});A=ye({inputs:{x:N},backend:r,attrs:{shape:n.outShape}}),y.push(_),y.push(x),y.push(N)}else{let b=p?l[0]*l[1]*(l[2]+1):l[0]*l[2]*(l[3]+1),_={dataId:e.dataId,shape:[1,b,n.inChannels],dtype:e.dtype},x=c.shape;c.shape=c.shape.slice(),c.shape[c.shape.length-2]++,v.assert(ic(c.shape,_.shape),()=> ` packed reshape $ { c . shape } to $ { _ . shape } isn ' t free ` );let N=ye({inputs:{x:t},backend:r,attrs:{shape:[1,n.inChannels,n.outChannels]}});y.push(N);let T=mp({a:_,b:N,backend:r,transposeA:f,transposeB:m,bias:a,activation:o,preluActivationWeights:s,leakyreluAlpha:i}),C=r.texData.get(T.dataId);v.assert(C.isPacked,()=>"batchMatMul result is expected to be packed"),c.shape=x,C.shape=n.outShape,A=On({inputs:{x:T},backend:r}),A.shape=n.outShape,y.push(T)}for(let b of y)r.disposeIntermediateTensorInfo(b);return A}function c_({x:e,filter:t,convInfo:n,backend:r,bias:a=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let{filterWidth:l,filterHeight:c,inChannels:u,outWidth:h,outHeight:d,dataFormat:p}=n,f=p==="channelsLast",m=l*c*u,A=d*h,y=[m,A],g=!0,w=!1,b=[],_=ye({inputs:{x:e},backend:r,attrs:{shape:e.shape.slice(1)}}),x=ye({inputs:{x:t},backend:r,attrs:{shape:[1,m,v.sizeFromShape(t.shape)/m]}});b.push(_),b.push(x);let N=new HW(y,_.shape,n),T=r.runWebGLProgram(N,[_],"float32"),C=ye({inputs:{x:T},backend:r,attrs:{shape:[1,y[0],y[1]]}});b.push(T),b.push(C);let F=a!=null,z=s!=null,B=o==="leakyrelu",V=o?pp(o,!0):null,U=new Hb(C.shape,x.shape,[1,A,n.outChannels],g,w,F,V,z,B),j=[C,x];if(a&&j.push(a),z&&j.push(s),B){let Y=r.makeTensorInfo([],"float32",v.createScalarValue(i,"float32"));j.push(Y),b.push(Y)}let X=r.runWebGLProgram(U,j,"float32"),G=f?[1,d,h,n.outChannels]:[1,n.outChannels,d,h],ee=ye({inputs:{x:X},backend:r,attrs:{shape:G}});b.push(X);for(let Y of b)r.disposeIntermediateTensorInfo(Y);return ee}function GW(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:c,dimRoundingMode:u}=r,h=R.convertConv2DDataFormat(l),d=R.computeConv2DInfo(a.shape,s.shape,i,c,o,u,!1,h),p;if(d.filterHeight===1&&d.filterWidth===1&&d.dilationHeight===1&&d.dilationWidth===1&&d.strideHeight===1&&d.strideWidth===1&&(d.padInfo.type==="SAME"||d.padInfo.type==="VALID"))p=u_({x:a,filter:s,convInfo:d,backend:n});else if(J().getBool("WEBGL_CONV_IM2COL")&&a.shape[0]===1)p=c_({x:a,filter:s,convInfo:d,backend:n});else{let m=new l_(d);p=n.runWebGLProgram(m,[a,s],"float32")}let f=ye({inputs:{x:p},backend:n,attrs:{shape:d.outShape}});return n.disposeIntermediateTensorInfo(p),f}var qW={kernelName:ps,backendName:"webgl",kernelFunc:GW},XW=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,s=e.dataFormat==="channelsLast";this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int wR = coords . x ;
int wC = coords . y ;
int d1 = coords . z ;
int d2 = coords . w ;
// Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int b = 0 ; b < $ { e . batchSize } ; b ++ ) {
for ( int yR = 0 ; yR < $ { e . outHeight } ; yR ++ ) {
int xR = wR + yR * $ { t } - $ { r } ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
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}
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for ( int yC = 0 ; yC < $ { e . outWidth } ; yC ++ ) {
int xC = wC + yC * $ { n } - $ { a } ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
if ( $ { s } ) {
float dyValue = getDy ( b , yR , yC , d2 ) ;
float xValue = getX ( b , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
} else {
float dyValue = getDy ( b , d2 , yR , yC ) ;
float xValue = getX ( b , d1 , xR , xC ) ;
dotProd += ( xValue * dyValue ) ;
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}
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}
}
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}
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setOutput ( dotProd ) ;
}
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` }},KW=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,s=e.dataFormat==="channelsLast",i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,l=s?1:2,c=s?2:3,u=s?3:1;this.userCode= `
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const ivec2 pads = ivec2 ( $ { i } , $ { o } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
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int d1 = coords [ $ { u } ] ;
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ivec2 dyCorner = ivec2 ( coords [ $ { l } ] , coords [ $ { c } ] ) - pads ;
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int dyRCorner = dyCorner . x ;
int dyCCorner = dyCorner . y ;
// Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { t } ; wR ++ ) {
float dyR = float ( dyRCorner + wR ) / $ { r } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
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}
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int idyR = int ( dyR ) ;
int wRPerm = $ { t } - 1 - wR ;
for ( int wC = 0 ; wC < $ { n } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { a } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
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}
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int idyC = int ( dyC ) ;
int wCPerm = $ { n } - 1 - wC ;
for ( int d2 = 0 ; d2 < $ { e . outChannels } ; d2 ++ ) {
if ( $ { s } ) {
float xValue = getDy ( batch , idyR , idyC , d2 ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
} else {
float xValue = getDy ( batch , d2 , idyR , idyC ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
}
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}
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}
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}
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setOutput ( dotProd ) ;
}
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` }},ZW=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,a=e.padInfo.front,s=e.padInfo.top,i=e.padInfo.left;this.userCode= `
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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 } - $ { a } ;
if ( xF < 0 || xF >= $ { e . inDepth } ) {
continue ;
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}
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for ( int yR = 0 ; yR < $ { e . outHeight } ; yR ++ ) {
int xR = wR + yR * $ { n } - $ { s } ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
for ( int yC = 0 ; yC < $ { e . outWidth } ; yC ++ ) {
int xC = wC + yC * $ { r } - $ { i } ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
float dyValue = getDy ( b , yF , yR , yC , d2 ) ;
float xValue = getX ( b , xF , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
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}
}
}
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}
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setOutput ( dotProd ) ;
}
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` }},YW=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,a=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=t-1-e.padInfo.front,l=n-1-e.padInfo.top,c=r-1-e.padInfo.left;this.userCode= `
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const ivec3 pads = ivec3 ( $ { o } , $ { l } , $ { c } ) ;
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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 ) / $ { a } . 0 ;
if ( dyF < 0.0 || dyF >= $ { e . outDepth } . 0 || fract ( dyF ) > 0.0 ) {
continue ;
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}
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int idyF = int ( dyF ) ;
int wFPerm = $ { t } - 1 - wF ;
for ( int wR = 0 ; wR < $ { n } ; wR ++ ) {
float dyR = float ( dyRCorner + wR ) / $ { s } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
continue ;
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}
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int idyR = int ( dyR ) ;
int wRPerm = $ { n } - 1 - wR ;
for ( int wC = 0 ; wC < $ { r } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { i } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
int wCPerm = $ { r } - 1 - wC ;
for ( int d2 = 0 ; d2 < $ { e . outChannels } ; d2 ++ ) {
float xValue = getDy ( batch , idyF , idyR , idyC , d2 ) ;
float wValue = getW ( wFPerm , wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
}
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}
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}
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}
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setOutput ( dotProd ) ;
}
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` }};function JW(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,dy:s}=t,{strides:i,pad:o,dataFormat:l,dimRoundingMode:c,filterShape:u}=r,h=R.convertConv2DDataFormat(l),d=R.computeConv2DInfo(a.shape,u,i,1,o,c,!1,h),p=new XW(d);return n.runWebGLProgram(p,[a,s],"float32")}var QW={kernelName:Eh,backendName:"webgl",kernelFunc:JW};function eB(e){let{inputs:t,backend:n,attrs:r}=e,{dy:a,filter:s}=t,{inputShape:i,strides:o,pad:l,dataFormat:c,dimRoundingMode:u}=r,h=R.convertConv2DDataFormat(c),d=R.computeConv2DInfo(i,s.shape,o,1,l,u,!1,h),p=new KW(d);return n.runWebGLProgram(p,[a,s],"float32")}var tB={kernelName:fs,backendName:"webgl",kernelFunc:eB};function nB(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s}=t,{strides:i,pad:o,dilations:l}=r,c=R.computeConv3DInfo(a.shape,s.shape,i,l,o),u=new jW(c);return n.runWebGLProgram(u,[a,s],"float32")}var rB={kernelName:pu,backendName:"webgl",kernelFunc:nB};function aB(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,dy:s}=t,{strides:i,pad:o,filterShape:l}=r,c=R.computeConv3DInfo(a.shape,l,i,1,o),u=new ZW(c);return n.runWebGLProgram(u,[a,s],"float32")}var sB={kernelName:Rh,backendName:"webgl",kernelFunc:aB};function iB(e){let{inputs:t,backend:n,attrs:r}=e,{dy:a,filter:s}=t,{pad:i,strides:o,inputShape:l}=r,c=R.computeConv3DInfo(l,s.shape,o,1,i),u=new YW(c);return n.runWebGLProgram(u,[a,s],"float32")}var oB={kernelName:Mh,backendName:"webgl",kernelFunc:iB},lB=jb+ `
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return cos ( x ) ;
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` ,uB=Ze({opSnippet:lB}),cB={kernelName:ms,backendName:"webgl",kernelFunc:uB},hB= `
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float e2x = exp ( - x ) ;
return ( e2x + 1.0 / e2x ) / 2.0 ;
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` ,dB=Ze({opSnippet:hB}),pB={kernelName:so,backendName:"webgl",kernelFunc:dB},fB=class{constructor(e,t,n,r,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[s,i,o,l]=e,[c]=t,[u,h]=n;this.outputShape=[c,u,h,l];let d=r==="bilinear"?1:0,[p,f]=[ ` $ { i - 1 } . 0 ` , ` $ { o - 1 } . 0 ` ],[m,A,y]=u>1?[ ` $ { ( i - 1 ) / ( u - 1 ) } ` ,"(y2-y1) * height_ratio", ` y1 * $ { p } + float ( y ) * ( height _scale ) ` ]:["0.0","0.0", ` 0.5 * ( y1 + y2 ) * $ { p } ` ],[g,w,b]=h>1?[ ` $ { ( o - 1 ) / ( h - 1 ) } ` ,"(x2-x1) * width_ratio", ` x1 * $ { f } + float ( x ) * ( width _scale ) ` ]:["0.0","0.0", ` 0.5 * ( x1 + x2 ) * $ { f } ` ];this.userCode= `
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const float height _ratio = float ( $ { m } ) ;
const float width _ratio = float ( $ { g } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int y = coords [ 1 ] ;
int x = coords [ 2 ] ;
int d = coords [ 3 ] ;
// get box vals
float y1 = getBoxes ( b , 0 ) ;
float x1 = getBoxes ( b , 1 ) ;
float y2 = getBoxes ( b , 2 ) ;
float x2 = getBoxes ( b , 3 ) ;
// get image in batch index
int bInd = round ( getBoxInd ( b ) ) ;
if ( bInd < 0 || bInd >= $ { s } ) {
return ;
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}
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float height _scale = $ { A } ;
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float width _scale = $ { w } ;
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float in _y = $ { y } ;
if ( in _y < 0.0 || in _y > $ { p } ) {
setOutput ( float ( $ { a } ) ) ;
return ;
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}
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float in _x = $ { b } ;
if ( in _x < 0.0 || in _x > $ { f } ) {
setOutput ( float ( $ { a } ) ) ;
return ;
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}
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vec2 sourceFracIndexCR = vec2 ( in _x , in _y ) ;
if ( $ { d } == 1 ) {
// Compute the four integer indices.
ivec2 sourceFloorCR = ivec2 ( sourceFracIndexCR ) ;
ivec2 sourceCeilCR = ivec2 ( ceil ( sourceFracIndexCR ) ) ;
float topLeft = getImage ( b , sourceFloorCR . y , sourceFloorCR . x , d ) ;
float bottomLeft = getImage ( b , sourceCeilCR . y , sourceFloorCR . x , d ) ;
float topRight = getImage ( b , sourceFloorCR . y , sourceCeilCR . x , d ) ;
float bottomRight = getImage ( b , sourceCeilCR . y , sourceCeilCR . x , d ) ;
vec2 fracCR = sourceFracIndexCR - vec2 ( sourceFloorCR ) ;
float top = topLeft + ( topRight - topLeft ) * fracCR . x ;
float bottom = bottomLeft + ( bottomRight - bottomLeft ) * fracCR . x ;
float newValue = top + ( bottom - top ) * fracCR . y ;
setOutput ( newValue ) ;
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} else {
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// 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 ) ;
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}
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}
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` }},mB=e=>{let{inputs:t,backend:n,attrs:r}=e,{image:a,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:c}=r,u=new fB(a.shape,s.shape,o,l,c);return n.runWebGLProgram(u,[a,s,i],"float32")},AB={kernelName:io,backendName:"webgl",kernelFunc:mB},p_=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=e;let r=e.length,a=t?"0.0": ` getX ( $ { h _ ( r , "coords" ) } ) ` ,s=e[e.length-1],i="",o="";t?(i=n? ` end != $ { s - 1 } ` :"end != 0",o=n?"end + 1":"end - 1"):(i=n? ` end + pow2 < $ { s } ` :"end >= pow2",o=n?"end + pow2":"end - pow2"),this.userCode= `
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uniform float index ;
void main ( ) {
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$ { ut ( r ) } coords = getOutputCoords ( ) ;
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int end = $ { d _ ( r , "coords" ) } ;
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float val = $ { a } ;
int pow2 = int ( pow ( 2.0 , index ) ) ;
if ( $ { i } ) {
int idx = $ { o } ;
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$ { d _ ( r , "coords" ) } = idx ;
val += getX ( $ { h _ ( r , "coords" ) } ) ;
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}
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setOutput ( val ) ;
}
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` }getCustomSetupFunc(e){return(t,n)=>{this.index==null&&(this.index=t.getUniformLocation(n,"index")),t.gl.uniform1f(this.index,e)}}};function h_(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 d_(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 yB(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,exclusive:i,reverse:o}=r,l=a.shape.length,c=R.getAxesPermutation([s],l),u=a;c!=null&&(u=In({inputs:{x:a},backend:n,attrs:{perm:c}}));let h=R.getInnerMostAxes(1,l)[0];if(h!==l-1)throw new Error( ` WebGL cumsum shader expects an inner - most axis = $ { a . shape . length - 1 } but got axis = $ { s } ` );let d=u.shape[h],p=On({inputs:{x:u},backend:n});for(let f=0;f<=Math.ceil(Math.log2(d))-1;f++){let m=new p_(u.shape,!1,o),A=m.getCustomSetupFunc(f),y=p;p=n.runWebGLProgram(m,[p],p.dtype,A),n.disposeIntermediateTensorInfo(y)}if(i){let f=new p_(u.shape,i,o),m=p;p=n.runWebGLProgram(f,[p],p.dtype),n.disposeIntermediateTensorInfo(m)}if(c!=null){let f=R.getUndoAxesPermutation(c),m=In({inputs:{x:p},backend:n,attrs:{perm:f}});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(u),m}return p}var gB={kernelName:As,backendName:"webgl",kernelFunc:yB};function xB(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,weights:s}=t,{size:i,binaryOutput:o}=r;if(a.shape.length===1){let l=n.readSync(a.dataId),c=n.readSync(s.dataId),u=Cb(l,c,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,u)}else if(a.shape.length===2){let l=n.bufferSync(a),c=n.bufferSync(s),u=Xz(l,c,i,o);return n.makeTensorInfo(u.shape,s.dtype,u.values)}throw new Error( ` Error in denseBincount : input must be at most rank 2 , but got rank$ { a . shape . length } . ` )}var wB={kernelName:Fh,backendName:"webgl",kernelFunc:xB},bB=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode= `
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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 ) ;
}
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` }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 _B(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{blockSize:s,dataFormat:i}=r;v.assert(s>1,()=> ` blockSize should be > 1 for depthToSpace , but was : $ { s } ` );let o=a.shape[0],l=i==="NHWC"?a.shape[1]:a.shape[2],c=i==="NHWC"?a.shape[2]:a.shape[3],u=i==="NHWC"?a.shape[3]:a.shape[1],h=l*s,d=c*s,p=u/(s*s),f=i==="NHWC"?[o,h,d,p]:[o,p,h,d],m=new bB(f,s,i);return n.runWebGLProgram(m,[a],a.dtype)}var vB={kernelName:oo,backendName:"webgl",kernelFunc:_B},f_=class{constructor(e,t=!1,n=null,r=!1,a=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let s=e.inHeight,i=e.inWidth,o=e.padInfo.top,l=e.padInfo.left,c=e.strideHeight,u=e.strideWidth,h=e.dilationHeight,d=e.dilationWidth,p=e.filterHeight,f=e.filterWidth,m=e.outChannels/e.inChannels,A="",y="";n&&(r?A= ` float activation ( float a ) {
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float b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
} ` :a?A= ` float activation ( float a ) {
float b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
} ` :A= `
float activation ( float x ) {
$ { n }
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}
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` ,y="result = activation(result);");let g=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
$ { A }
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const ivec2 strides = ivec2 ( $ { c } , $ { u } ) ;
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const ivec2 pads = ivec2 ( $ { o } , $ { l } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords . x ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int d2 = coords . w ;
int d1 = d2 / $ { m } ;
int q = d2 - d1 * $ { m } ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
// Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
// TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.
for ( int wR = 0 ; wR < $ { p } ; wR ++ ) {
int xR = xRCorner + wR * $ { h } ;
if ( xR < 0 || xR >= $ { s } ) {
continue ;
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}
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for ( int wC = 0 ; wC < $ { f } ; wC ++ ) {
int xC = xCCorner + wC * $ { d } ;
if ( xC < 0 || xC >= $ { i } ) {
continue ;
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}
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float xVal = getX ( batch , xR , xC , d1 ) ;
float wVal = getW ( wR , wC , d1 , q ) ;
dotProd += xVal * wVal ;
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}
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}
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float result = dotProd ;
$ { g }
$ { y }
setOutput ( result ) ;
}
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` }},m_=class{constructor(e,t=!1,n=null,r=!1,a=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.outShape;let s=e.inHeight,i=e.inWidth,o=e.padInfo.top,l=e.padInfo.left,c=e.strideHeight,u=e.strideWidth,h=e.dilationHeight,d=e.dilationWidth,p=e.filterHeight,f=e.filterWidth,m=f,A="int xR; int xC; int xCOffset;";for(let b=0;b<p;b++)for(let _=0;_<f;_++)A+= `
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vec4 xTexelR$ { b } C$ { _ * 2 } = vec4 ( 0. ) ;
vec4 wR$ { b } C$ { _ } = vec4 ( 0. ) ;
vec4 xR$ { b } C$ { _ } = vec4 ( 0. ) ; ` ;for(let b=0;b<p;b++)for(let _=0;_<m;_++){let x=_*2;if(A+= `
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xR = xRCorner + $ { b * h } ;
xC = xCCorner + $ { x * d } ;
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` ,u===1){if(x<f&&(l%2==1?A+= `
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xCOffset = xC + 1 ;
if ( xR >= 0 && xR < $ { s } && xCOffset >= 0 && xCOffset < $ { i } ) {
xTexelR$ { b } C$ { x } = getX ( batch , xR , xCOffset , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= $ { i } ) {
xTexelR$ { b } C$ { x } . zw = vec2 ( 0. ) ;
}
} else {
xTexelR$ { b } C$ { x } = vec4 ( 0. ) ;
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}
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xCOffset = xC + 1 - 2 ;
if ( xR >= 0 && xR < $ { s } && xCOffset >= 0 && xCOffset < $ { i } ) {
vec4 previous = getX ( batch , xR , xCOffset , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= $ { i } ) {
previous . zw = vec2 ( 0. ) ;
}
xR$ { b } C$ { x } = vec4 ( previous . zw , xTexelR$ { b } C$ { x } . xy ) ;
} else {
xR$ { b } C$ { x } = vec4 ( 0 , 0 , xTexelR$ { b } C$ { x } . xy ) ;
}
` :A+= `
if ( xR >= 0 && xR < $ { s } && xC >= 0 && xC < $ { i } ) {
xTexelR$ { b } C$ { x } = getX ( batch , xR , xC , d1 ) ;
} else {
xTexelR$ { b } C$ { x } = vec4 ( 0. ) ;
}
xR$ { b } C$ { x } = xTexelR$ { b } C$ { x } ;
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` ,x+1<f)){let N=l%2==0?v.nearestLargerEven(d):d;d%2==0&&l%2==1||d%2!=0&&l%2!=1?(A+= `
xCOffset = xC + $ { l % 2 } + $ { N } ;
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if ( xR >= 0 && xR < $ { s } &&
xCOffset >= 0 && xCOffset < $ { i } ) {
xTexelR$ { b } C$ { x + 2 } = getX ( batch , xR , xCOffset , d1 ) ;
}
` ,d>1&&(A+= `
xCOffset -= 2 ;
if ( xR >= 0 && xR < $ { s } &&
xCOffset >= 0 && xCOffset < $ { i } ) {
xTexelR$ { b } C$ { x } = getX ( batch , xR , xCOffset , d1 ) ;
} else {
xTexelR$ { b } C$ { x } = vec4 ( 0. ) ;
}
` ),A+= `
xR$ { b } C$ { x + 1 } = vec4 (
xTexelR$ { b } C$ { x } . zw , xTexelR$ { b } C$ { x + 2 } . xy ) ;
` ):A+= `
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xCOffset = xC + $ { N } ;
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if ( xR >= 0 && xR < $ { s } &&
xCOffset >= 0 && xCOffset < $ { i } ) {
xTexelR$ { b } C$ { x + 2 } = getX ( batch , xR , xCOffset , d1 ) ;
}
xR$ { b } C$ { x + 1 } = xTexelR$ { b } C$ { x + 2 } ;
` }}else x<f&&(A+= `
if ( xR >= 0 && xR < $ { s } ) {
` ,l%2==1?(A+= `
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xCOffset = xC + 1 - $ { u } ;
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if ( xCOffset >= 0 && xCOffset < $ { i } ) {
xTexelR$ { b } C$ { x } = getX ( batch , xR , xCOffset , d1 ) ;
} else {
xTexelR$ { b } C$ { x } = vec4 ( 0. ) ;
}
if ( xC + 1 >= 0 && xC + 1 < $ { i } ) {
xTexelR$ { b } C$ { x + 2 } = getX ( batch , xR , xC + 1 , d1 ) ;
} else {
xTexelR$ { b } C$ { x + 2 } = vec4 ( 0. ) ;
}
xR$ { b } C$ { x } = vec4 (
xTexelR$ { b } C$ { x } . zw , xTexelR$ { b } C$ { x + 2 } . zw ) ;
` ,x+1<f&&(A+= `
vec4 final = vec4 ( 0. ) ;
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xCOffset = xC + 1 + $ { u } ;
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if ( xCOffset >= 0 && xCOffset < $ { i } ) {
final = getX ( batch , xR , xCOffset , d1 ) ;
}
xR$ { b } C$ { x + 1 } = vec4 ( xTexelR$ { b } C$ { x + 2 } . xy , final . xy ) ;
` )):(A+= `
if ( xC >= 0 && xC < $ { i } ) {
xTexelR$ { b } C$ { x } = getX ( batch , xR , xC , d1 ) ;
} else {
xTexelR$ { b } C$ { x } = vec4 ( 0. ) ;
}
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xCOffset = xC + $ { u } ;
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if ( xCOffset >= 0 && xCOffset < $ { i } ) {
xTexelR$ { b } C$ { x + 2 } = getX ( batch , xR , xCOffset , d1 ) ;
} else {
xTexelR$ { b } C$ { x + 2 } = vec4 ( 0. ) ;
}
xR$ { b } C$ { x } = vec4 (
xTexelR$ { b } C$ { x } . xy , xTexelR$ { b } C$ { x + 2 } . xy ) ;
` ,x+1<f&&(A+= `
xR$ { b } C$ { x + 1 } = vec4 (
xTexelR$ { b } C$ { x } . zw , xTexelR$ { b } C$ { x + 2 } . zw ) ;
` )),A+="}");x<f&&(A+= `
vec4 wTexelR$ { b } C$ { x } = getW ( $ { b } , $ { x } , d1 , q ) ;
wR$ { b } C$ { x } = vec4 ( wTexelR$ { b } C$ { x } . xz , wTexelR$ { b } C$ { x } . xz ) ;
` ,x+1<f&&(A+= `
vec4 wTexelR$ { b } C$ { x + 1 } = getW ( $ { b } , $ { x + 1 } , d1 , q ) ;
wR$ { b } C$ { x + 1 } =
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vec4 ( wTexelR$ { b } C$ { x + 1 } . xz , wTexelR$ { b } C$ { x + 1 } . xz ) ; ` ))}for(let b=0;b<p;b++)for(let _=0;_<f;_++)A+= ` dotProd += xR$ { b } C$ { _ } * wR$ { b } C$ { _ } ; ` ;let y="",g="";n&&(r?y= ` vec4 activation ( vec4 a ) {
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vec4 b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
} ` :a?y= ` vec4 activation ( vec4 a ) {
vec4 b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
} ` :y= ` vec4 activation ( vec4 x ) {
$ { n }
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} ` ,g="result = activation(result);");let w=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
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$ { y }
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const ivec2 strides = ivec2 ( $ { c } , $ { u } ) ;
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const ivec2 pads = ivec2 ( $ { o } , $ { l } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords . x ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int d2 = coords . w ;
int d1 = d2 ;
int q = 0 ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
vec4 dotProd = vec4 ( 0. ) ;
$ { A }
vec4 result = dotProd ;
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$ { w }
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$ { g }
setOutput ( result ) ;
}
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` }};function kB(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s}=t,{strides:i,pad:o,dilations:l,dimRoundingMode:c}=r,u=l;u==null&&(u=[1,1]),v.assert(R.eitherStridesOrDilationsAreOne(i,u),()=> ` Error in depthwiseConv2d : Either strides or dilations must be 1. Got strides $ { i } and dilations '${u}' ` );let h=R.computeConv2DInfo(a.shape,s.shape,i,u,o,c,!0),d;return J().getBool("WEBGL_PACK_DEPTHWISECONV")&&h.strideWidth<=2&&h.outChannels/h.inChannels==1?d=new m_(h):d=new f_(h),n.runWebGLProgram(d,[a,s],"float32")}var IB={kernelName:ys,backendName:"webgl",kernelFunc:kB},NB=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int wR = coords . x ;
int wC = coords . y ;
int d1 = coords . z ;
int dm = coords . w ;
int d2 = d1 * $ { s } + dm ;
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 ++ ) {
int xR = wR + yR * $ { t } - $ { r } ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
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continue ;
}
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for ( int yC = 0 ; yC < $ { e . outWidth } ; yC ++ ) {
int xC = wC + yC * $ { n } - $ { a } ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
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}
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float dyValue = getDy ( b , yR , yC , d2 ) ;
float xValue = getX ( b , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
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}
}
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}
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setOutput ( dotProd ) ;
}
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` }},SB=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,s=t-1-e.padInfo.top,i=n-1-e.padInfo.left,o=e.outChannels/e.inChannels;this.userCode= `
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const ivec2 pads = ivec2 ( $ { s } , $ { i } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d1 = coords [ 3 ] ;
ivec2 dyCorner = coords . yz - pads ;
int dyRCorner = dyCorner . x ;
int dyCCorner = dyCorner . y ;
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { t } ; wR ++ ) {
float dyR = float ( dyRCorner + wR ) / $ { r } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
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}
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int idyR = int ( dyR ) ;
int wRPerm = $ { t } - 1 - wR ;
for ( int wC = 0 ; wC < $ { n } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { a } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
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}
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int idyC = int ( dyC ) ;
int wCPerm = $ { n } - 1 - wC ;
// TO DO: Vec4 over the channelMul
for ( int dm = 0 ; dm < $ { o } ; dm ++ ) {
int d2 = d1 * $ { o } + dm ;
float xValue = getDy ( batch , idyR , idyC , d2 ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , dm ) ;
dotProd += xValue * wValue ;
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}
}
}
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setOutput ( dotProd ) ;
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}
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` }};function TB(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,dy:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:c,filterShape:u}=r,h=R.computeConv2DInfo(a.shape,u,i,o,l,c,!0),d=new NB(h);return n.runWebGLProgram(d,[a,s],"float32")}var CB={kernelName: $ h,backendName:"webgl",kernelFunc:TB};function EB(e){let{inputs:t,backend:n,attrs:r}=e,{dy:a,filter:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:c,inputShape:u}=r,h=R.computeConv2DInfo(u,s.shape,i,o,l,c,!0),d=new SB(h);return n.runWebGLProgram(d,[a,s],"float32")}var RB={kernelName:Dh,backendName:"webgl",kernelFunc:EB},MB=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
float val = coords [ 0 ] == coords [ 1 ] ? getX ( coords [ 0 ] ) : 0.0 ;
setOutput ( val ) ;
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}
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` }};function FB(e){let{inputs:t,backend:n}=e,{x:r}=t,a=[...r.shape,...r.shape],s=v.sizeFromShape(r.shape),i=ye({inputs:{x:r},backend:n,attrs:{shape:[s]}}),o=new MB(s),l=n.runWebGLProgram(o,[i],i.dtype),c=ye({inputs:{x:l},backend:n,attrs:{shape:a}});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(l),c}var $ B={kernelName:Oh,backendName:"webgl",kernelFunc:FB},DB=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:n,padInfo:r,strideHeight:a,strideWidth:s,filterHeight:i,filterWidth:o,dilationHeight:l,dilationWidth:c}=e,{top:u,left:h}=r;this.userCode= `
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const ivec2 strides = ivec2 ( $ { a } , $ { s } ) ;
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const ivec2 pads = ivec2 ( $ { u } , $ { h } ) ;
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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 ;
for ( int h = 0 ; h < $ { i } ; h ++ ) {
int hIn = hBeg + h * $ { l } ;
if ( hIn >= 0 && hIn < $ { t } ) {
for ( int w = 0 ; w < $ { o } ; w ++ ) {
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int wIn = wBeg + w * $ { c } ;
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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 ;
}
}
}
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}
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}
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float result = curVal ;
setOutput ( result ) ;
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}
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` }};function OB(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s}=t,{strides:i,pad:o,dilations:l}=r,c=R.computeDilation2DInfo(a.shape,s.shape,i,o,"NHWC",l),u,h=new DB(c);u=n.runWebGLProgram(h,[a,s],"float32");let d=ye({inputs:{x:u},backend:n,attrs:{shape:c.outShape}});return n.disposeIntermediateTensorInfo(u),d}var zB={kernelName:fu,backendName:"webgl",kernelFunc:OB},PB="return (x >= 0.0) ? x : (exp(x) - 1.0);",LB= `
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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 ;
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` ,WB=Ze({opSnippet:PB,packedOpSnippet:LB}),BB={kernelName:lo,backendName:"webgl",kernelFunc:WB},VB="return (b >= 1.0) ? a : a * (b + 1.0);",UB= `
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vec4 bGTEZero = vec4 ( greaterThanEqual ( b , vec4 ( 0. ) ) ) ;
return ( bGTEZero * a ) + ( ( vec4 ( 1.0 ) - bGTEZero ) * ( a * ( b + vec4 ( 1.0 ) ) ) ) ;
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` ,jB=e=>{let{inputs:t,backend:n}=e,{dy:r,y:a}=t,s=J().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new hc(UB,r.shape,a.shape):new Rl(VB,r.shape,a.shape);return n.runWebGLProgram(s,[r,a],r.dtype)},HB={kernelName:Lh,backendName:"webgl",kernelFunc:jB},GB= `
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return vec4 ( equal ( a , b ) ) ;
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` ,qB="return float(a == b);",XB=nn({opSnippet:qB,packedOpSnippet:GB,dtype:"bool"}),KB={kernelName:co,backendName:"webgl",kernelFunc:XB},ZB= `
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// Error function is calculated approximately with elementary function.
// See "Handbook of Mathematical Functions with Formulas,
// Graphs, and Mathematical Tables", Abramowitz and Stegun.
float p = $ { R . ERF _P } ;
float a1 = $ { R . ERF _A1 } ;
float a2 = $ { R . ERF _A2 } ;
float a3 = $ { R . ERF _A3 } ;
float a4 = $ { R . ERF _A4 } ;
float a5 = $ { R . ERF _A5 } ;
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 ) ) ;
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` ,YB=Ze({opSnippet:ZB}),JB={kernelName:uo,backendName:"webgl",kernelFunc:YB},A_="return exp(x);",y_=Ze({opSnippet:A_,packedOpSnippet:A_,cpuKernelImpl:Yz}),QB={kernelName:xs,backendName:"webgl",kernelFunc:y_};function sA(e){let{inputs:t,attrs:n,backend:r}=e,{dim:a}=n,{input:s}=t,i=s.shape.length,o=s.shape.slice(),l=a;return a<0&&(v.assert(-(i+1)<=a,()=> ` Axis must be in the interval [ $ { - ( i + 1 ) } , $ { i } ] ` ),l=i+a+1),o.splice(l,0,1),ye({inputs:{x:s},backend:r,attrs:{shape:o}})}var eV={kernelName:ho,backendName:"webgl",kernelFunc:sA},g_="return exp(x) - 1.0;",tV=Ze({opSnippet:g_,packedOpSnippet:g_,cpuKernelImpl:Jz}),nV={kernelName:po,backendName:"webgl",kernelFunc:tV},x_=class{constructor(e,t,n){this.variableNames=["real","imag"];let r=t[1];this.outputShape=t;let a=n? ` 2.0 * $ { Math . PI } ` : ` - 2.0 * $ { Math . PI } ` ,s=n? ` $ { r } . 0 ` :"1.0",i;if(e==="real")i="return real * expR - imag * expI;";else if(e==="imag")i="return real * expI + imag * expR;";else throw new Error( ` FFT component must be either "real" or "imag" , got $ { e } . ` );this.userCode= `
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const float exponentMultiplier = $ { a } ;
float unaryOpComplex ( float real , float expR , float imag , float expI ) {
$ { i }
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}
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float mulMatDFT ( int batch , int index ) {
float indexRatio = float ( index ) / float ( $ { r } ) ;
float exponentMultiplierTimesIndexRatio =
exponentMultiplier * indexRatio ;
float result = 0.0 ;
for ( int i = 0 ; i < $ { r } ; i ++ ) {
// x = (-2|2 * PI / N) * index * i;
float x = exponentMultiplierTimesIndexRatio * float ( i ) ;
float expR = cos ( x ) ;
float expI = sin ( x ) ;
float real = getReal ( batch , i ) ;
float imag = getImag ( batch , i ) ;
result +=
unaryOpComplex ( real , expR , imag , expI ) / $ { s } ;
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}
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return result ;
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}
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
setOutput ( mulMatDFT ( coords [ 0 ] , coords [ 1 ] ) ) ;
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}
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` }};function w_(e,t,n){let r=n.texData.get(e.dataId),a=v.sizeFromShape(e.shape),s=e.shape[e.shape.length-1],i=a/s,o=ye({inputs:{x:e},backend:n,attrs:{shape:[i,s]}}),l=o.shape,c=new x_("real",l,t),u=new x_("imag",l,t),h=[{dataId:r.complexTensorInfos.real.dataId,dtype:r.complexTensorInfos.real.dtype,shape:l},{dataId:r.complexTensorInfos.imag.dataId,dtype:r.complexTensorInfos.imag.dtype,shape:l}],d=n.runWebGLProgram(c,h,"float32"),p=n.runWebGLProgram(u,h,"float32"),f=Va({inputs:{real:d,imag:p},backend:n});n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(p);let m=ye({inputs:{x:f},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(f),m}function rV(e){let{inputs:t,backend:n}=e,{input:r}=t;return w_(r,!1,n)}var aV={kernelName:Wh,backendName:"webgl",kernelFunc:rV},sV=class{constructor(e,t){this.outputShape=[],this.variableNames=["x"],this.outputShape=e,this.userCode= `
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uniform float value ;
void main ( ) {
// Input can be obtained from uniform value.
setOutput ( value ) ;
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}
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` }getCustomSetupFunc(e){return(t,n)=>{this.valueLoc==null&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}};function iA(e){let{backend:t,attrs:n}=e,{shape:r,value:a}=n,{dtype:s}=n;if(s=s||v.inferDtype(a),s==="string"){let i=v.getArrayFromDType(s,v.sizeFromShape(r));return i.fill(a),t.makeTensorInfo(r,s,i)}else{let i=new sV(r,a),o=i.getCustomSetupFunc(a);return t.runWebGLProgram(i,[],s,o)}}var iV={kernelName:mu,backendName:"webgl",kernelFunc:iA},oV=class{constructor(e){this.variableNames=["Image"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int x = coords [ 2 ] ;
int coordX = $ { t } - x ;
float outputValue ;
if ( coordX >= 0 && coordX < $ { t } ) {
outputValue = getImage ( coords [ 0 ] , coords [ 1 ] , coordX , coords [ 3 ] ) ;
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} else {
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outputValue = getImage ( coords [ 0 ] , coords [ 1 ] , coords [ 2 ] , coords [ 3 ] ) ;
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}
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setOutput ( outputValue ) ;
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}
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` }},lV={kernelName:fo,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{let{image:n}=e,r=t,a=new oV(n.shape);return r.runWebGLProgram(a,[n],n.dtype)}},b_="return floor(x);",uV=Ze({opSnippet:b_,packedOpSnippet:b_,cpuKernelImpl:Qz}),cV={kernelName:ws,backendName:"webgl",kernelFunc:uV},hV= `
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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 ;
}
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` ,dV= `
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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 ] ) ;
}
if ( cond [ 1 ] ) {
result [ 1 ] = idiv ( ia [ 1 ] , ib [ 1 ] , s [ 1 ] ) ;
}
if ( cond [ 2 ] ) {
result [ 2 ] = idiv ( ia [ 2 ] , ib [ 2 ] , s [ 2 ] ) ;
}
if ( cond [ 3 ] ) {
result [ 3 ] = idiv ( ia [ 3 ] , ib [ 3 ] , s [ 3 ] ) ;
}
return vec4 ( result ) ;
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` ,pV=nn({opSnippet:hV,packedOpSnippet:dV,dtype:"int32"}),fV={kernelName:bs,backendName:"webgl",kernelFunc:pV},mV=class{constructor(e){this.variableNames=["A"];let t=pn(),[n,r]=e;this.outputShape=e,this.userCode= `
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
int texR = coords [ 0 ] ;
int texC = coords [ 1 ] ;
int depth = coords [ 2 ] ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { r } . 0 , $ { n } . 0 ) ;
vec4 values = $ { t . texture2D } ( A , uv ) ;
float value ;
if ( depth == 0 ) {
value = values . r ;
} else if ( depth == 1 ) {
value = values . g ;
} else if ( depth == 2 ) {
value = values . b ;
} else if ( depth == 3 ) {
value = values . a ;
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}
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setOutput ( floor ( value * 255.0 + 0.5 ) ) ;
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}
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` }},AV=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=pn(),[n,r]=e;this.outputShape=e,this.userCode= `
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
int texR = coords [ 0 ] ;
int texC = coords [ 1 ] ;
int depth = coords [ 2 ] ;
vec4 result = vec4 ( 0. ) ;
for ( int row = 0 ; row <= 1 ; row ++ ) {
for ( int col = 0 ; col <= 1 ; col ++ ) {
texC = coords [ 1 ] + row ;
depth = coords [ 2 ] + col ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { r } . 0 , $ { n } . 0 ) ;
vec4 values = $ { t . texture2D } ( A , uv ) ;
float value ;
if ( depth == 0 ) {
value = values . r ;
} else if ( depth == 1 ) {
value = values . g ;
} else if ( depth == 2 ) {
value = values . b ;
} else if ( depth == 3 ) {
value = values . a ;
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}
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result [ row * 2 + col ] = floor ( value * 255.0 + 0.5 ) ;
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}
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}
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$ { t . output } = result ;
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}
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` }},gV={kernelName:td,backendName:"webgl",kernelFunc:yV},Fl;function yV(e){let{inputs:t,backend:n,attrs:r}=e,{pixels:a}=t,{numChannels:s}=r,i=typeof HTMLVideoElement!="undefined"&&a instanceof HTMLVideoElement,o=typeof HTMLImageElement!="undefined"&&a instanceof HTMLImageElement,[l,c]=i?[a.videoWidth,a.videoHeight]:[a.width,a.height],u=[c,l],h=[c,l,s];(o||i)&&(Fl==null&&(Fl=document.createElement("canvas").getContext("2d")),Fl.canvas.width=l,Fl.canvas.height=c,Fl.drawImage(a,0,0,l,c),a=Fl.canvas);let d=n.makeTensorInfo(u,"int32");n.texData.get(d.dataId).usage=Zn.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(d.dataId),a);let p=J().getBool("WEBGL_PACK")?new AV(h):new mV(h),f=n.runWebGLProgram(p,[d],"int32");return n.disposeData(d.dataId),f}function xV(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:c,dataFormat:u,dilations:h,dimRoundingMode:d,activation:p,leakyreluAlpha:f}=r,m=R.convertConv2DDataFormat(u),A=R.computeConv2DInfo(a.shape,s.shape,l,h,c,d,!1,m),y,g=[];if(A.filterHeight===1&&A.filterWidth===1&&A.dilationHeight===1&&A.dilationWidth===1&&A.strideHeight===1&&A.strideWidth===1&&(A.padInfo.type==="SAME"||A.padInfo.type==="VALID"))y=u_({x:a,filter:s,convInfo:A,backend:n,bias:i,activation:p,preluActivationWeights:o,leakyreluAlpha:f});else if(J().getBool("WEBGL_CONV_IM2COL")&&a.shape[0]===1)y=c_({x:a,filter:s,convInfo:A,backend:n,bias:i,activation:p,preluActivationWeights:o,leakyreluAlpha:f});else{let b=i!=null,_=o!=null,x=p==="leakyrelu",N=p?pp(p,!1):null,T=new l_(A,b,N,_,x),C=[a,s];if(i&&C.push(i),o&&C.push(o),x){let F=n.makeTensorInfo([],"float32",v.createScalarValue(f,"float32"));C.push(F),g.push(F)}y=n.runWebGLProgram(T,C,"float32")}let w=ye({inputs:{x:y},backend:n,attrs:{shape:A.outShape}});return g.push(y),g.forEach(b=>n.disposeIntermediateTensorInfo(b)),w}var wV={kernelName:ei,backendName:"webgl",kernelFunc:xV};function bV(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:c,dilations:u,dimRoundingMode:h,activation:d,leakyreluAlpha:p}=r,f=[],m=u;m==null&&(m=[1,1]),v.assert(R.eitherStridesOrDilationsAreOne(l,m),()=> ` Error in depthwiseConv2d : Either strides or dilations must be 1. Got strides $ { l } and dilations '${m}' ` );let A=R.computeConv2DInfo(a.shape,s.shape,l,m,c,h,!0),y=J().getBool("WEBGL_PACK_DEPTHWISECONV")&&A.strideWidth<=2&&A.outChannels/A.inChannels==1,g=d?pp(d,y):null,w=[a,s],b=i!=null,_=o!=null,x=d==="leakyrelu";if(b&&w.push(i),_&&w.push(o),x){let C=n.makeTensorInfo([],"float32",v.createScalarValue(p,"float32"));w.push(C),f.push(C)}let N;y?N=new m_(A,b,g,_,x):N=new f_(A,b,g,_,x);let T=n.runWebGLProgram(N,w,"float32");return f.forEach(C=>n.disposeIntermediateTensorInfo(C)),T}var _V={kernelName:ti,backendName:"webgl",kernelFunc:bV},vV=class{constructor(e,t,n){this.sliceDim=e,this.strides=t,this.variableNames=["x","indices"],this.outputShape=n;let r=ut(t.length),a=ut(n.length),s=this.sliceDim>1?"strides[j]":"strides";this.userCode= `
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$ { r } strides = $ { r } ( $ { this . strides } ) ;
void main ( ) {
$ { a } coords = getOutputCoords ( ) ;
int flattenIndex = 0 ;
for ( int j = 0 ; j < $ { this . sliceDim } ; j ++ ) {
int index = round ( getIndices ( coords [ 0 ] , j ) ) ;
flattenIndex += index * $ { s } ;
}
setOutput ( getX ( flattenIndex , coords [ 1 ] ) ) ;
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}
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` }};function kV(e){let{inputs:t,backend:n}=e,{params:r,indices:a}=t,s=a.shape,i=s[s.length-1],[o,l,c,u]=R.prepareAndValidate(r,a),h=ye({inputs:{x:a},backend:n,attrs:{shape:[l,i]}}),d=ye({inputs:{x:r},backend:n,attrs:{shape:[v.sizeFromShape(r.shape)/c,c]}}),p=new vV(i,u,[l,c]),f=n.runWebGLProgram(p,[d,h],d.dtype),m=ye({inputs:{x:f},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(f),m}var IV={kernelName:Ao,backendName:"webgl",kernelFunc:kV},SV=class{constructor(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;let n=ut(this.rank),r=NV(e,2);this.userCode= `
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void main ( ) {
$ { n } resRC = getOutputCoords ( ) ;
setOutput ( getA ( $ { r } ) ) ;
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}
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` }};function NV(e,t){let n=["resRC.x","resRC.y","resRC.z","resRC.w"],r=[];for(let a=0;a<e.length;a++)a===2?r.push("int(getIndices(resRC.x, resRC.z))"):r.push( ` $ { n [ a ] } ` );return r.join()}function TV(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,indices:s}=t,{axis:i,batchDims:o}=r,l=v.parseAxisParam(i,a.shape)[0],c=R.segment_util.collectGatherOpShapeInfo(a,s,l,o),u=v.sizeFromShape(s.shape),h=[],d=ye({inputs:{x:a},backend:n,attrs:{shape:[c.batchSize,c.outerSize,c.dimSize,c.sliceSize]}}),p=ye({inputs:{x:s},backend:n,attrs:{shape:[c.batchSize,u/c.batchSize]}});h.push(d),h.push(p);let f=[c.batchSize,c.outerSize,u/c.batchSize,c.sliceSize];if(n.shouldExecuteOnCPU([a,s])||a.dtype==="string"){let g=n.bufferSync(p),w=n.bufferSync(d),b=eP(w,g,f);return h.forEach(_=>n.disposeIntermediateTensorInfo(_)),n.makeTensorInfo(c.outputShape,b.dtype,b.values)}let m=new SV(d.shape,f),A=n.runWebGLProgram(m,[d,p],d.dtype);h.push(A);let y=ye({inputs:{x:A},backend:n,attrs:{shape:c.outputShape}});return h.forEach(g=>n.disposeIntermediateTensorInfo(g)),y}var CV={kernelName:mo,backendName:"webgl",kernelFunc:TV},EV="return float(a > b);",RV= `
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return vec4 ( greaterThan ( a , b ) ) ;
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` ,MV=nn({opSnippet:EV,packedOpSnippet:RV,cpuKernelImpl:tP,dtype:"bool"}),FV={kernelName:yo,backendName:"webgl",kernelFunc:MV}, $ V="return float(a >= b);",DV= `
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return vec4 ( greaterThanEqual ( a , b ) ) ;
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` ,OV=nn({opSnippet: $ V,packedOpSnippet:DV,dtype:"bool"}),zV={kernelName:vs,backendName:"webgl",kernelFunc:OV};function PV(e){let{inputs:t,backend:n}=e,{input:r}=t;return w_(r,!0,n)}var LV={kernelName:Bh,backendName:"webgl",kernelFunc:PV},WV="return float(!isnan(x) && !isinf(x));",BV=Ze({opSnippet:WV,dtype:"bool"}),VV={kernelName:go,backendName:"webgl",kernelFunc:BV},UV="return float(isinf(x));",jV=Ze({opSnippet:UV,dtype:"bool"}),HV={kernelName:xo,backendName:"webgl",kernelFunc:jV},GV="return float(isnan(x));",qV=Ze({opSnippet:GV,dtype:"bool"}),XV={kernelName:wo,backendName:"webgl",kernelFunc:qV},KV="return float(a < b);",ZV= `
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return vec4 ( lessThan ( a , b ) ) ;
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` ,YV=nn({opSnippet:KV,packedOpSnippet:ZV,cpuKernelImpl:nP,dtype:"bool"}),JV={kernelName:bo,backendName:"webgl",kernelFunc:YV},QV="return float(a <= b);",eU= `
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return vec4 ( lessThanEqual ( a , b ) ) ;
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` ,tU=nn({opSnippet:QV,packedOpSnippet:eU,dtype:"bool"}),nU={kernelName:_o,backendName:"webgl",kernelFunc:tU};function rU(e){let{backend:t,attrs:n}=e,{start:r,stop:a,num:s}=n,i=rP(r,a,s);return t.makeTensorInfo([i.length],"float32",i)}var aU={kernelName:Uh,backendName:"webgl",kernelFunc:rU},sU= ` if ( x < 0.0 ) return NAN ;
return log ( x ) ; ` ,iU= `
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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 ;
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` ,oU=Ze({opSnippet:sU,packedOpSnippet:iU,cpuKernelImpl:aP}),lU={kernelName:Ns,backendName:"webgl",kernelFunc:oU},uU="return log(1.0 + x);",cU=Ze({opSnippet:uU}),hU={kernelName:vo,backendName:"webgl",kernelFunc:cU},dU="return float(a >= 1.0 && b >= 1.0);",pU= `
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return vec4 (
vec4 ( greaterThanEqual ( a , vec4 ( 1.0 ) ) ) *
vec4 ( greaterThanEqual ( b , vec4 ( 1.0 ) ) ) ) ;
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` ,fU=nn({opSnippet:dU,packedOpSnippet:pU,dtype:"bool"}),mU={kernelName:ko,backendName:"webgl",kernelFunc:fU},AU="return float(!(x >= 1.0));",yU=Ze({opSnippet:AU}),gU={kernelName:Au,backendName:"webgl",kernelFunc:yU},xU="return float(a >= 1.0 || b >= 1.0);",wU= `
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return min (
vec4 ( greaterThanEqual ( a , vec4 ( 1.0 ) ) ) +
vec4 ( greaterThanEqual ( b , vec4 ( 1.0 ) ) ) ,
vec4 ( 1.0 ) ) ;
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` ,bU=nn({opSnippet:xU,packedOpSnippet:wU,dtype:"bool"}),_U={kernelName:yu,backendName:"webgl",kernelFunc:bU},vU=class{constructor(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[];let s=t,i=e[3]-1;this.outputShape=e;let o,l= ` float ( $ { n } ) + float ( $ { r } ) * sum ` ;a===.5?o= ` inversesqrt ( $ { l } ) ` :a===1?o= ` 1.0 / ( $ { l } ) ` :o= ` exp ( log ( $ { l } ) * float ( - $ { a } ) ) ; ` ,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
int d = coords [ 3 ] ;
float x = getX ( b , r , c , d ) ;
float sum = 0.0 ;
for ( int j = - $ { s } ; j <= $ { s } ; j ++ ) {
int idx = d + j ;
if ( idx >= 0 && idx <= $ { i } ) {
float z = getX ( b , r , c , idx ) ;
sum += z * z ;
}
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}
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float val = x * $ { o } ;
setOutput ( val ) ;
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}
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` }},kU=class{constructor(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let s=t,i=e[3]-1;this.outputShape=e;let o,l= ` float ( $ { n } ) + float ( $ { r } ) * sum ` ;a===.5?o= ` inversesqrt ( $ { l } ) ` :a===1?o= ` 1.0 / ( $ { l } ) ` :o= ` exp ( log ( $ { l } ) * float ( - $ { a } ) ) ; ` ,this.userCode= `
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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
) ;
int firstChannel = d - $ { s } ;
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 ) ) ;
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}
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}
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ivec2 depth = ivec2 ( d , d + 1 ) ;
for ( int j = - $ { s } ; j <= $ { s } ; j ++ ) {
ivec2 idx = depth + j ;
bvec2 aboveLowerBound = greaterThanEqual ( idx , ivec2 ( 0 ) ) ;
bvec2 belowUpperBound = lessThanEqual ( idx , ivec2 ( $ { i } ) ) ;
bool depthInRange = aboveLowerBound . x && belowUpperBound . x ;
bool depthPlusOneInRange = aboveLowerBound . y && belowUpperBound . y ;
if ( depthInRange || depthPlusOneInRange ) {
vec4 z = vec4 ( 0. ) ;
vec4 xFragAtCurrentDepth ;
z . xz = cache . xy ;
if ( depthPlusOneInRange && hasNextCol ) {
xFragAtCurrentDepth = idx . y != d ?
getX ( b , r , c , idx . y ) : xFragAtOutputCoords ;
z . y = getChannel ( xFragAtCurrentDepth , vec2 ( c , idx . y ) ) ;
if ( hasNextRow ) {
z . w = getChannel ( xFragAtCurrentDepth , vec2 ( c + 1 , idx . y ) ) ;
}
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}
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cache . xy = z . yw ;
sum += z * z ;
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}
}
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vec4 result = xAtOutputCoords * $ { o } ;
setOutput ( result ) ;
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}
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` }},IU=e=>{let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=r,c=J().getBool("WEBGL_PACK_NORMALIZATION")?new kU(a.shape,s,i,o,l):new vU(a.shape,s,i,o,l);return n.runWebGLProgram(c,[a],a.dtype)},NU={kernelName:gu,backendName:"webgl",kernelFunc:IU},SU=class{constructor(e,t,n,r,a){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=r,this.beta=a,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
float result = 0.0 ;
for ( int d = 0 ; d < $ { this . depth } ; ++ d ) {
int depthBegin = int ( max ( 0.0 , float ( d - $ { t } ) ) ) ;
int depthEnd = int ( min ( float ( $ { this . depth } ) ,
float ( d + $ { t } + 1 ) ) ) ;
const int MIN _DEPTH _BEGIN = 0 ;
const int MAX _DEPTH _END = $ { this . depth } ;
float norm = 0.0 ;
for ( int k = MIN _DEPTH _BEGIN ; k < MAX _DEPTH _END ; ++ k ) {
if ( k < depthBegin ) {
continue ;
}
else if ( k >= depthBegin && k < depthEnd ) {
norm += getInputImage ( b , r , c , k ) * getInputImage ( b , r , c , k ) ;
}
else {
break ;
}
}
norm = float ( $ { r } ) * norm + float ( $ { n } ) ;
for ( int k = MIN _DEPTH _BEGIN ; k < MAX _DEPTH _END ; ++ k ) {
if ( k < depthBegin ) {
continue ;
}
else if ( k >= depthBegin && k < depthEnd ) {
float dyi = - 2.0 * float ( $ { r } )
* float ( $ { a } )
* getInputImage ( b , r , c , k ) * getOutputImage ( b , r , c , d )
/ n o r m ;
if ( k == d ) {
dyi += pow ( norm , - 1.0 * $ { a } ) ;
}
if ( k == coords [ 3 ] ) {
dyi *= getDy ( b , r , c , d ) ;
result += dyi ;
}
}
else {
break ;
}
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}
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}
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setOutput ( result ) ;
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}
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` }},TU=e=>{let{inputs:t,backend:n,attrs:r}=e,{x:a,y:s,dy:i}=t,{depthRadius:o,bias:l,alpha:c,beta:u}=r,h=new SU(a.shape,o,l,c,u);return n.runWebGLProgram(h,[a,s,i],a.dtype)},CU={kernelName:jh,backendName:"webgl",kernelFunc:TU};function EU(e,t,n,r){let a=v.sizeFromShape(t),s=v.sizeFromShape(e.shape)/a,i=ye({inputs:{x:e},attrs:{shape:[s,a]},backend:r}),o=_i(i,e.dtype,"max",r),l=ye({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),l}function __(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{reductionIndices:s,keepDims:i}=r,o=a.shape.length,l=v.parseAxisParam(s,a.shape),c=l,u=R.getAxesPermutation(c,o),h=u!=null,d=n.shouldExecuteOnCPU([a]),p=a;if(h){if(d){let g=n.texData.get(p.dataId).values,w=new Array(o);for(let x=0;x<w.length;x++)w[x]=a.shape[u[x]];let b=Qm(g,a.shape,a.dtype,u,w);p=n.makeTensorInfo(w,a.dtype);let _=n.texData.get(p.dataId);_.values=b}else p=fp(a,u,n);c=R.getInnerMostAxes(c.length,o)}R.assertAxesAreInnerMostDims("max",c,o);let[f,m]=R.computeOutAndReduceShapes(p.shape,c),A=f;i&&(A=R.expandShapeToKeepDim(f,l));let y;if(d){let g=n.texData.get(p.dataId).values,w=sP(g,v.sizeFromShape(m),A,a.dtype);y=n.makeTensorInfo(A,a.dtype);let b=n.texData.get(y.dataId);b.values=w}else y=EU(p,m,A,n);return h&&n.disposeIntermediateTensorInfo(p),y}var RU={kernelName:Ss,backendName:"webgl",kernelFunc:__},MU=Lb+ `
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return max ( a , b ) ;
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` ,FU= `
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vec4 result = vec4 ( max ( a , b ) ) ;
vec4 isNaN = min ( vec4 ( isnan ( a ) ) + vec4 ( isnan ( b ) ) , vec4 ( 1.0 ) ) ;
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` +dp+ `
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return result ;
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` , $ U=nn({opSnippet:MU,packedOpSnippet:FU,cpuKernelImpl:iP}),DU={kernelName:Ts,backendName:"webgl",kernelFunc: $ U};function OU(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t;vl(a,"maxPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=r,c=1;v.assert(R.eitherStridesOrDilationsAreOne(i,c),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { i } and dilations '${c}' ` );let u=R.computePool2DInfo(a.shape,s,i,c,o,l);if(u.filterWidth===1&&u.filterHeight===1&&v.arraysEqual(u.inShape,u.outShape))return On({inputs:{x:a},backend:n});let h=new dc(u,"max",!1);return n.runWebGLProgram(h,[a],a.dtype)}var zU={kernelName:Cs,backendName:"webgl",kernelFunc:OU};function PU(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{filterSize:s,strides:i,pad:o,dataFormat:l,dimRoundingMode:c}=r,u=[1,1,1],h=R.computePool3DInfo(a.shape,s,i,u,o,c,l),d=new nA(h,"max",!1);return n.runWebGLProgram(d,[a],a.dtype)}var LU={kernelName:xu,backendName:"webgl",kernelFunc:PU},WU=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,n=e.strideWidth,r=e.dilationHeight,a=e.effectiveFilterHeight,s=e.effectiveFilterWidth,i=a-1-e.padInfo.top,o=s-1-e.padInfo.left,l=a*s-1;this.userCode= `
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const ivec2 pads = ivec2 ( $ { i } , $ { o } ) ;
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 < $ { a } ;
wR += $ { r } ) {
float dyR = float ( dyRCorner + wR ) / $ { t } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
for ( int wC = 0 ; wC < $ { s } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { n } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
float dyValue = getDy ( b , idyR , idyC , d ) ;
int maxPosValue = $ { l } - int ( getMaxPos ( b , idyR , idyC , d ) ) ;
// Get the current value, check it against the value from the
// position matrix.
int curPosValue = wR * $ { s } + wC ;
float mask = float ( maxPosValue == curPosValue ? 1.0 : 0.0 ) ;
dotProd += dyValue * mask ;
}
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}
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setOutput ( dotProd ) ;
}
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` }},BU=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,a=e.dilationDepth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterDepth,l=e.effectiveFilterHeight,c=e.effectiveFilterWidth,u=o-1-e.padInfo.front,h=l-1-e.padInfo.top,d=c-1-e.padInfo.left,p=o*l*c-1;this.userCode= `
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const ivec3 pads = ivec3 ( $ { u } , $ { h } , $ { d } ) ;
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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 ;
for ( int wD = 0 ; wD < $ { o } ;
wD += $ { a } ) {
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 } ;
wR += $ { s } ) {
float dyR = float ( dyRCorner + wR ) / $ { n } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
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for ( int wC = 0 ; wC < $ { c } ;
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wC += $ { i } ) {
float dyC = float ( dyCCorner + wC ) / $ { r } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
float dyValue = getDy ( batch , idyD , idyR , idyC , ch ) ;
int maxPosValue = $ { p } -
int ( getMaxPos ( batch , idyD , idyR , idyC , ch ) ) ;
// Get the current value, check it against the value from the
// position matrix.
int curPosValue =
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wD * $ { l } * $ { c } +
wR * $ { c } + wC ;
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float mask = float ( maxPosValue == curPosValue ? 1.0 : 0.0 ) ;
dotProd += dyValue * mask ;
}
}
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}
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setOutput ( dotProd ) ;
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}
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` }};function VU(e){let{inputs:t,backend:n,attrs:r}=e,{dy:a,input:s}=t,i=s,{filterSize:o,strides:l,pad:c,dimRoundingMode:u}=r,h=[1,1,1],d=R.computePool3DInfo(i.shape,o,l,h,c,u),p=new nA(d,"max",!0),f=n.runWebGLProgram(p,[i],i.dtype),m=new BU(d),A=n.runWebGLProgram(m,[a,f],i.dtype);return n.disposeIntermediateTensorInfo(f),A}var UU={kernelName:Gh,backendName:"webgl",kernelFunc:VU};function jU(e){let{inputs:t,backend:n,attrs:r}=e,{dy:a,input:s,output:i}=t,o=s;vl([s,i],"maxPoolGrad");let{filterSize:l,strides:c,pad:u,dimRoundingMode:h}=r,d=R.computePool2DInfo(o.shape,l,c,1,u,h),p=!0,f=new dc(d,"max",p),m=n.runWebGLProgram(f,[o],o.dtype),A=new WU(d),y=n.runWebGLProgram(A,[a,m],o.dtype);return n.disposeIntermediateTensorInfo(m),y}var HU={kernelName:Hh,backendName:"webgl",kernelFunc:jU};function GU(e,t,n,r){let a=new dc(n,"max",!1),s=r.runWebGLProgram(a,[e],"float32");a=new dc(n,"max",!0,!0,t);let i=r.runWebGLProgram(a,[e],"float32");return[s,i]}var qU={kernelName:qh,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:r}=e,{filterSize:a,strides:s,pad:i,includeBatchInIndex:o}=t,l=n;v.assert(r.shape.length===4,()=> ` Error in maxPool : input must be rank 4 but got rank $ { r . shape . length } . ` );let c=[1,1];v.assert(R.eitherStridesOrDilationsAreOne(s,c),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { s } and dilations '${c}' ` );let u=R.computePool2DInfo(r.shape,a,s,c,i),[h,d]=GU(r,o,u,l);return[h,d]}};function XU(e,t,n,r){let a=v.sizeFromShape(t),s=v.sizeFromShape(e.shape)/a,i=ye({inputs:{x:e},attrs:{shape:[s,a]},backend:r}),o=_i(i,"float32","mean",r),l=ye({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),l}var KU={kernelName:Es,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:r}=e,{keepDims:a,axis:s}=t,i=n,o=r.shape.length,l=v.parseAxisParam(s,r.shape),c=l,u=R.getAxesPermutation(c,o),h=u!=null,d=i.shouldExecuteOnCPU([r]),p=[],f=r;if(h){if(d){let w=i.texData.get(f.dataId).values,b=new Array(o);for(let N=0;N<b.length;N++)b[N]=r.shape[u[N]];let _=Qm(w,r.shape,r.dtype,u,b);f=i.makeTensorInfo(b,r.dtype);let x=i.texData.get(f.dataId);x.values=_}else f=fp(r,u,i);p.push(f),c=R.getInnerMostAxes(c.length,o)}R.assertAxesAreInnerMostDims("sum",c,o);let[m,A]=R.computeOutAndReduceShapes(f.shape,c),y=m;a&&(y=R.expandShapeToKeepDim(m,l));let g=XU(f,A,y,i);for(let w of p)i.disposeIntermediateTensorInfo(w);return g}};function ZU(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,keepDims:i}=r,o=a.shape.length,l=v.parseAxisParam(s,a.shape),c=l,u=R.getAxesPermutation(c,o),h=a;u!=null&&(h=In({inputs:{x:a},backend:n,attrs:{perm:u}}),c=R.getInnerMostAxes(c.length,a.shape.length)),R.assertAxesAreInnerMostDims("min",c,o);let[d,p]=R.computeOutAndReduceShapes(h.shape,c),f=v.sizeFromShape(p),m=ye({inputs:{x:h},backend:n,attrs:{shape:[-1,f]}}),A=_i(m,m.dtype,"min",n),y;if(i){let g=R.expandShapeToKeepDim(d,l);y=ye({inputs:{x:A},backend:n,attrs:{shape:g}})}else y=ye({inputs:{x:A},backend:n,attrs:{shape:d}});return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(A),u!=null&&n.disposeIntermediateTensorInfo(h),y}var YU={kernelName:Rs,backendName:"webgl",kernelFunc:ZU},JU=Lb+ `
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return min ( a , b ) ;
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` ,QU= `
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vec4 result = vec4 ( min ( a , b ) ) ;
vec4 isNaN = min ( vec4 ( isnan ( a ) ) + vec4 ( isnan ( b ) ) , vec4 ( 1.0 ) ) ;
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` +dp+ `
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return result ;
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` ,ej=nn({opSnippet:JU,packedOpSnippet:QU,cpuKernelImpl:oP}),tj={kernelName:Ms,backendName:"webgl",kernelFunc:ej},nj=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((c,u)=>c[0]+e[u]+c[1]);let r=e.length,a=ut(r),s=t.map(c=>c[0]).join(","),i=t.map((c,u)=>c[0]+e[u]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r),l=n==="reflect"?0:1;if(r===1){this.userCode= `
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int start = $ { s } ;
int end = $ { i } ;
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 ) ) ;
}
` ;return}this.userCode= `
$ { a } start = $ { a } ( $ { s } ) ;
$ { a } end = $ { a } ( $ { i } ) ;
void main ( ) {
$ { a } outC = getOutputCoords ( ) ;
for ( int i = 0 ; i < $ { r } ; i ++ ) {
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 } ;
}
}
$ { a } coords = outC - start ;
setOutput ( getX ( $ { o } ) ) ;
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}
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` }},rj=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((p,f)=>p[0]+e[f]+p[1]);let r=e.length,a=ut(r),s=t.map(p=>p[0]).join(","),i=t.map((p,f)=>p[0]+e[f]).join(","),o=fn("rc",r),l=fn("source",r),c= ` $ { o [ r - 1 ] } < $ { this . outputShape [ r - 1 ] } ` ,u=r===1?"source": ` vec2 ( $ { l . slice ( - 2 ) . join ( ) } ) ` ,h=n==="reflect"?0:1,d="";if(r===1){let p= `
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$ { a } source = rc ;
if ( source < start ) {
source = start * 2 - source - $ { h } ;
} else if ( source >= end ) {
source = ( end - 1 ) * 2 - source + $ { h } ;
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}
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source -= start ;
` ;d= `
$ { a } rc = outputLoc ;
$ { p }
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result [ 0 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { u } ) ;
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$ { o [ r - 1 ] } += 1 ;
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if ( $ { c } ) {
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$ { p }
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result [ 1 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { u } ) ;
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}
` }else{let p= `
$ { a } source = rc ;
$ { a } lt = $ { a } ( lessThan ( source , start ) ) ;
$ { a } gte = $ { a } ( greaterThanEqual ( source , end ) ) ;
$ { a } orig = 1 - ( lt + gte ) ;
source = orig * source +
lt * ( start * 2 - source - $ { h } ) +
gte * ( ( end - 1 ) * 2 - source + $ { h } ) ;
source -= start ;
` ;d= `
$ { a } rc = outputLoc ;
$ { p }
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result [ 0 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { u } ) ;
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$ { o [ r - 1 ] } += 1 ;
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if ( $ { c } ) {
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$ { p }
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result [ 1 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { u } ) ;
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}
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rc = outputLoc ;
$ { o [ r - 2 ] } += 1 ;
if ( $ { o [ r - 2 ] } < $ { this . outputShape [ r - 2 ] } ) {
$ { p }
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result [ 2 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { u } ) ;
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$ { o [ r - 1 ] } += 1 ;
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if ( $ { c } ) {
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$ { p }
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result [ 3 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { u } ) ;
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}
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}
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` }this.userCode= `
const $ { a } start = $ { a } ( $ { s } ) ;
const $ { a } end = $ { a } ( $ { i } ) ;
void main ( ) {
$ { a } outputLoc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
$ { d }
setOutput ( result ) ;
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}
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` }},aj=({inputs:e,backend:t,attrs:n})=>{let{x:r}=e,{paddings:a,mode:s}=n,i=J().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new rj(r.shape,a,s):new nj(r.shape,a,s);return t.runWebGLProgram(i,[r],r.dtype)},sj={kernelName:wu,backendName:"webgl",kernelFunc:aj},ij= ` if ( b == 0.0 ) return NAN ;
return mod ( a , b ) ; ` ,oj= `
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vec4 result = mod ( a , b ) ;
vec4 isNaN = vec4 ( equal ( b , vec4 ( 0.0 ) ) ) ;
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` +dp+ `
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return result ;
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` ,lj=nn({opSnippet:ij,packedOpSnippet:oj}),uj={kernelName:Io,backendName:"webgl",kernelFunc:lj},cj=class{constructor(e,t,n){this.variableNames=["probs"],this.outputShape=[e,n],this.userCode= `
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uniform float seed ;
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 } ) ) ;
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}
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` }getCustomSetupFunc(e){return(t,n)=>{this.seedLoc==null&&(this.seedLoc=t.getUniformLocation(n,"seed")),t.gl.uniform1f(this.seedLoc,e)}}},hj= `
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if ( a == b ) {
return 1.0 ;
} ;
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return a / b ; ` ,dj= `
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// 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. ;
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}
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if ( a . y == b . y ) {
result . y = 1. ;
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}
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if ( a . z == b . z ) {
result . z = 1. ;
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}
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if ( a . w == b . w ) {
result . w = 1. ;
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}
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return result ;
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` ,v_=nn({opSnippet:hj,packedOpSnippet:dj,checkOutOfBounds:!0}),pj={kernelName:gs,backendName:"webgl",kernelFunc:v_},k_="return a - b;",I_=nn({opSnippet:k_,packedOpSnippet:k_,supportsComplex:!0,cpuKernelImpl:mP}),fj={kernelName:Zs,backendName:"webgl",kernelFunc:I_};function N_(e){let{inputs:t,backend:n,attrs:r}=e,{logits:a}=t,{dim:s}=r,i=v.parseAxisParam([s],a.shape),o=__({inputs:{x:a},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),l=R.expandShapeToKeepDim(o.shape,i),c=ye({inputs:{x:o},backend:n,attrs:{shape:l}}),u=I_({inputs:{a,b:c},backend:n}),h=y_({inputs:{x:u},backend:n}),d=tA({inputs:{x:h},backend:n,attrs:{axis:i,keepDims:!1}}),p=ye({inputs:{x:d},backend:n,attrs:{shape:l}}),f=v_({inputs:{a:h,b:p},backend:n});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(p),f}var mj={kernelName:Xs,backendName:"webgl",kernelFunc:N_};function Aj(e){let{inputs:t,backend:n,attrs:r}=e,{logits:a}=t,{numSamples:s,seed:i,normalized:o}=r,l=o?a:N_({inputs:{logits:a},backend:n,attrs:{dim:a.shape.length-1}}),c=l.shape[0],u=l.shape[1],h=new cj(c,u,s),d=h.getCustomSetupFunc(i),p=n.runWebGLProgram(h,[l],"int32",d);return o||n.disposeIntermediateTensorInfo(l),p}var yj={kernelName:Xh,backendName:"webgl",kernelFunc:Aj},S_="return -x;";function gj(e){let{inputs:t,backend:n}=e,{x:r}=t;if(n.shouldExecuteOnCPU([r])){let s=n.texData.get(r.dataId),[i,o]=uP(s.values,r.shape,r.dtype);return n.makeTensorInfo(o,r.dtype,i)}let a;return J().getBool("WEBGL_PACK_UNARY_OPERATIONS")?a=new Cl(r.shape,S_):a=new Ba(r.shape,S_),n.runWebGLProgram(a,[r],r.dtype)}var xj={kernelName:No,backendName:"webgl",kernelFunc:gj},wj=Lr.nonMaxSuppressionV3Impl;function bj(e){R.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:r}=e,{boxes:a,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l}=r,c=n.readSync(a.dataId),u=n.readSync(s.dataId),{selectedIndices:h}=wj(c,u,i,o,l);return n.makeTensorInfo([h.length],"int32",new Int32Array(h))}var _j={kernelName:To,backendName:"webgl",kernelFunc:bj},vj=Lr.nonMaxSuppressionV4Impl;function kj(e){R.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:r}=e,{boxes:a,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,padToMaxOutputSize:c}=r,u=n.readSync(a.dataId),h=n.readSync(s.dataId),{selectedIndices:d,validOutputs:p}=vj(u,h,i,o,l,c);return[n.makeTensorInfo([d.length],"int32",new Int32Array(d)),n.makeTensorInfo([],"int32",new Int32Array([p]))]}var Ij={kernelName:Co,backendName:"webgl",kernelFunc:kj},Nj=Lr.nonMaxSuppressionV5Impl;function Sj(e){R.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:r}=e,{boxes:a,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,softNmsSigma:c}=r,u=n.readSync(a.dataId),h=n.readSync(s.dataId),d=i,p=o,f=l,m=c,{selectedIndices:A,selectedScores:y}=Nj(u,h,d,p,f,m);return[n.makeTensorInfo([A.length],"int32",new Int32Array(A)),n.makeTensorInfo([y.length],"float32",new Float32Array(y))]}var Tj={kernelName:Eo,backendName:"webgl",kernelFunc:Sj},Cj=class{constructor(e,t,n,r){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int index = round ( getIndices ( coords . x ) ) ;
setOutput ( mix ( float ( $ { r } ) , float ( $ { n } ) ,
float ( index == coords . y ) ) ) ;
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}
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` }},Ej=e=>{let{inputs:t,backend:n,attrs:r}=e,{indices:a}=t,{depth:s,onValue:i,offValue:o}=r,l=v.sizeFromShape(a.shape),c=new Cj(l,s,i,o),u=ye({inputs:{x:a},backend:n,attrs:{shape:[l]}}),h=n.runWebGLProgram(c,[u],a.dtype);n.disposeIntermediateTensorInfo(u);let d=[...a.shape,s],p=ye({inputs:{x:h},backend:n,attrs:{shape:d}});return n.disposeIntermediateTensorInfo(h),p},Rj={kernelName: $ s,backendName:"webgl",kernelFunc:Ej};function xp(e){let{inputs:t,backend:n}=e,{x:r}=t;if(r.dtype==="complex64"){let a=fc({inputs:{input:r},backend:n}),s=xp({inputs:{x:a},backend:n}),i=gp({inputs:{input:r},backend:n}),o=xp({inputs:{x:i},backend:n}),l=Va({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return iA({attrs:{shape:r.shape,dtype:r.dtype,value:r.dtype==="string"?"":0},backend:n})}var Mj={kernelName:Xo,backendName:"webgl",kernelFunc:xp};function T_(e){let{inputs:t,backend:n}=e,{x:r}=t;if(r.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(r.dtype==="complex64"){let a=fc({inputs:{input:r},backend:n}),s=T_({inputs:{x:a},backend:n}),i=gp({inputs:{input:r},backend:n}),o=xp({inputs:{x:i},backend:n}),l=Va({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return iA({attrs:{shape:r.shape,dtype:r.dtype,value:1},backend:n})}var Fj={kernelName:Ro,backendName:"webgl",kernelFunc:T_};function $ j(e){let{inputs:t,backend:n,attrs:r}=e,{axis:a}=r;if(t.length===1)return sA({inputs:{input:t[0]},backend:n,attrs:{dim:a}});let s=t[0].shape,i=t[0].dtype;t.forEach(u=>{v.assertShapesMatch(s,u.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===u.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(u=>{let h=sA({inputs:{input:u},backend:n,attrs:{dim:a}});return o.push(h),h}),c=o_({inputs:l,backend:n,attrs:{axis:a}});return o.forEach(u=>n.disposeIntermediateTensorInfo(u)),c}var Dj={kernelName:Mo,backendName:"webgl",kernelFunc: $ j},Oj=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((l,c)=>l[0]+e[c]+l[1]);let r=e.length,a=ut(r),s=t.map(l=>l[0]).join(","),i=t.map((l,c)=>l[0]+e[c]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);if(r===1){this.userCode= `
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int start = $ { s } ;
int end = $ { i } ;
uniform float value ;
void main ( ) {
int outC = getOutputCoords ( ) ;
if ( outC < start || outC >= end ) {
setOutput ( value ) ;
} else {
setOutput ( getX ( outC - start ) ) ;
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}
}
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` ;return}this.userCode= `
$ { a } start = $ { a } ( $ { s } ) ;
$ { a } end = $ { a } ( $ { i } ) ;
uniform float value ;
void main ( ) {
$ { a } outC = getOutputCoords ( ) ;
if ( any ( lessThan ( outC , start ) ) || any ( greaterThanEqual ( outC , end ) ) ) {
setOutput ( value ) ;
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} else {
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$ { a } coords = outC - start ;
setOutput ( getX ( $ { o } ) ) ;
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}
}
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` }getCustomSetupFunc(e){return(t,n)=>{this.valueLoc==null&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}},zj=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((f,m)=>f[0]+e[m]+f[1]);let r=e.length,a=ut(r),s=t.map(f=>f[0]).join(","),i=t.map((f,m)=>f[0]+e[m]).join(","),o=fn("rc",r),l=fn("source",r),c= ` $ { o [ r - 1 ] } < $ { this . outputShape [ r - 1 ] } ` ,u=r===1?"source": ` vec2 ( $ { l . slice ( - 2 ) . join ( ) } ) ` ,h=[ ` $ { a } rc = outputLoc ; ` , ` $ { o [ r - 1 ] } += 1 ;
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if ( $ { c } ) {
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` ,r===1?"": ` }
rc = outputLoc ;
$ { o [ r - 2 ] } += 1 ;
if ( $ { o [ r - 2 ] } < $ { this . outputShape [ r - 2 ] } ) { ` ,r===1?"": ` $ { o [ r - 1 ] } += 1 ;
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if ( $ { c } ) { ` ],d=r===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",p="";for(let f=0,m=r===1?2:4;f<m;f++)p+= `
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$ { h [ f ] }
if ( $ { d } ) {
result [ $ { f } ] = float ( value ) ;
} else {
$ { a } source = rc - start ;
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result [ $ { f } ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { u } ) ;
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}
` ;p+=r===1?"} ":"}}",this.userCode= `
const $ { a } start = $ { a } ( $ { s } ) ;
const $ { a } end = $ { a } ( $ { i } ) ;
uniform float value ;
void main ( ) {
$ { a } outputLoc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
$ { p }
setOutput ( result ) ;
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}
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` }getCustomSetupFunc(e){return(t,n)=>{this.valueLoc==null&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}},C_=e=>{let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{paddings:s,constantValue:i}=r,o=J().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new zj(a.shape,s,i):new Oj(a.shape,s,i),l=o.getCustomSetupFunc(i);return n.runWebGLProgram(o,[a],a.dtype,l)},Pj={kernelName:Ds,backendName:"webgl",kernelFunc:C_},Lj= `
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if ( a < 0.0 && floor ( b ) < b ) {
return NAN ;
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}
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if ( b == 0.0 ) {
return 1.0 ;
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}
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return ( round ( mod ( b , 2.0 ) ) != 1 ) ?
pow ( abs ( a ) , b ) : sign ( a ) * pow ( abs ( a ) , b ) ;
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` ,Wj= `
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// 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 ) ) ;
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` +dp+ `
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return result ;
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` ,Bj=nn({opSnippet:Lj,packedOpSnippet:Wj}),Vj={kernelName:Os,backendName:"webgl",kernelFunc:Bj};function Uj(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,keepDims:i}=r,o=a.shape.length,l=[],c=v.parseAxisParam(s,a.shape),u=c,h=R.getAxesPermutation(u,o),d=a;h!=null&&(d=In({inputs:{x:a},backend:n,attrs:{perm:h}}),u=R.getInnerMostAxes(u.length,o),l.push(d)),R.assertAxesAreInnerMostDims("prod",u,o);let p;if(n.shouldExecuteOnCPU([d])){let f=n.texData.get(d.dataId).values,{outVals:m,outShape:A,outDtype:y}=cP(d.shape,d.dtype,f,u);p=n.makeTensorInfo(A,y,m)}else{let[f,m]=R.computeOutAndReduceShapes(d.shape,u),A=v.sizeFromShape(m),y=ye({inputs:{x:d},backend:n,attrs:{shape:[-1,A]}}),g=id(a.dtype),w=_i(y,g,"prod",n);p=ye({inputs:{x:w},backend:n,attrs:{shape:f}}),l.push(y),l.push(w)}if(i){l.push(p);let f=R.expandShapeToKeepDim(p.shape,c);p=ye({inputs:{x:p},backend:n,attrs:{shape:f}})}return l.forEach(f=>n.disposeIntermediateTensorInfo(f)),p}var jj={kernelName:Fo,backendName:"webgl",kernelFunc:Uj},E_=e=>{let{backend:t,attrs:n}=e,{start:r,stop:a,step:s,dtype:i}=n,o=hP(r,a,s,i);return t.makeTensorInfo([o.length],i,o)},Hj={kernelName:bu,backendName:"webgl",kernelFunc:E_},Gj="return 1.0 / x;",qj=Ze({opSnippet:Gj}),Xj={kernelName: $ o,backendName:"webgl",kernelFunc:qj},Kj=xr+ `
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return ( x < 0.0 ) ? 0.0 : x ;
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` ,Zj= `
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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 ;
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` ,Yj=Ze({opSnippet:Kj,packedOpSnippet:Zj}),Jj={kernelName:Ps,backendName:"webgl",kernelFunc:Yj},Qj=xr+ `
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return ( x < 0.0 ) ? 0.0 : min ( 6.0 , x ) ;
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` ,eH= `
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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 ;
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` ,tH=Ze({opSnippet:Qj,packedOpSnippet:eH}),nH={kernelName:Ws,backendName:"webgl",kernelFunc:tH},rH=class{constructor(e,t,n,r,a){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let c=[r&&t>1?i-1:i,r&&n>1?o-1:o],u=[r&&t>1?t-1:t,r&&n>1?n-1:n],h;a?h="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":h="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
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const vec2 effectiveInputOverOutputRatioRC = vec2 (
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$ { c [ 0 ] / u [ 0 ] } ,
$ { c [ 1 ] / u [ 1 ] } ) ;
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const vec2 inputShapeRC = vec2 ( $ { i } . 0 , $ { o } . 0 ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 yRC = coords . yz ;
// Fractional source index.
vec2 sourceFracIndexRC = $ { h } ;
// 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 ) ;
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}
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` }},aH=class{constructor(e,t,n,r,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let c=[r&&t>1?i-1:i,r&&n>1?o-1:o],u=[r&&t>1?t-1:t,r&&n>1?n-1:n],h;a?h="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":h="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
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const vec3 effectiveInputOverOutputRatioRC = vec3 (
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$ { c [ 0 ] / u [ 0 ] } ,
$ { c [ 1 ] / u [ 1 ] } ,
$ { c [ 1 ] / u [ 1 ] } ) ;
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const vec3 inputShapeRC = vec3 ( $ { i } . 0 , $ { o } . 0 ,
$ { o } . 0 ) ;
float getAValue ( int b , int r , int c , int d ) {
return getChannel ( getA ( b , r , c , d ) , vec2 ( c , d ) ) ;
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}
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
// Calculate values for next column in yRC.z.
ivec3 yRC = coords . yzz + ivec3 ( 0 , 0 , 1 ) ;
// Fractional source index.
vec3 sourceFracIndexRC = $ { h } ;
// 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 ) ;
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}
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` }};function sH(e){let{inputs:t,backend:n,attrs:r}=e,{images:a}=t,{alignCorners:s,halfPixelCenters:i,size:o}=r,[l,c]=o,u=J().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new aH(a.shape,l,c,s,i):new rH(a.shape,l,c,s,i);return n.runWebGLProgram(u,[a],"float32")}var iH={kernelName:Ls,backendName:"webgl",kernelFunc:sH},oH=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,r,a]=t,[,s,i]=e,o=[n&&s>1?r-1:r,n&&i>1?a-1:a],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],c=o[0]/l[0],u=o[1]/l[1],h=1/c,d=1/u,p=Math.ceil(h)*2+2,f=Math.ceil(d)*2+2;this.userCode= `
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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 ;
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const float heightScale = float ( $ { c } ) ;
const float widthScale = float ( $ { u } ) ;
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const float invHeightScale = float ( $ { h } ) ;
const float invWidthScale = float ( $ { d } ) ;
const int winHeight = int ( $ { p } ) ;
const int winWidth = int ( $ { f } ) ;
// Compute bounds for where in dy we will look
float startRLerp = floor ( float ( r ) * invHeightScale ) ;
int startDyR = int ( startRLerp - float ( winHeight / 2 ) ) ;
float startCLerp = floor ( float ( c ) * invWidthScale ) ;
int startDyC = int ( startCLerp - float ( winWidth / 2 ) ) ;
// Loop over dy
for ( int dyROffset = 0 ; dyROffset < winHeight ; dyROffset ++ ) {
int dyR = dyROffset + startDyR ;
// Guard against the window exceeding the bounds of dy
if ( dyR < 0 || dyR >= $ { s } ) {
continue ;
}
for ( int dyCOffset = 0 ; dyCOffset < winWidth ; dyCOffset ++ ) {
int dyC = dyCOffset + startDyC ;
// Guard against the window exceeding the bounds of dy
if ( dyC < 0 || dyC >= $ { i } ) {
continue ;
}
float dxR = float ( dyR ) * heightScale ;
int topDxRIndex = int ( floor ( dxR ) ) ;
int bottomDxRIndex = int ( min ( ceil ( dxR ) , $ { r - 1 } . 0 ) ) ;
float dxRLerp = dxR - float ( topDxRIndex ) ;
float inverseDxRLerp = 1.0 - dxRLerp ;
float dxC = float ( dyC ) * widthScale ;
int leftDxCIndex = int ( floor ( dxC ) ) ;
int rightDxCIndex = int ( min ( ceil ( dxC ) , $ { a - 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 ;
}
}
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}
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// End loop over dy
setOutput ( accumulator ) ;
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}
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` }};function lH(e){let{inputs:t,backend:n,attrs:r}=e,{images:a,dy:s}=t,{alignCorners:i}=r,o=new oH(s.shape,a.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var uH={kernelName:Yh,backendName:"webgl",kernelFunc:lH},cH=class{constructor(e,t,n,r,a){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let c=[r&&t>1?i-1:i,r&&n>1?o-1:o],u=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=r?"0.5":"0.0",d;a?d="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":d="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
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const vec2 effectiveInputOverOutputRatioRC = vec2 (
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$ { c [ 0 ] / u [ 0 ] } ,
$ { c [ 1 ] / u [ 1 ] } ) ;
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const vec2 inputShapeRC = vec2 ( $ { i } . 0 , $ { o } . 0 ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 yRC = coords . yz ;
// Fractional source index.
vec2 sourceFracIndexRC = $ { d } ;
// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestRC = ivec2 (
min ( inputShapeRC - 1.0 , floor ( sourceFracIndexRC + $ { h } ) ) ) ;
float newValue = getA ( b , sourceNearestRC . x , sourceNearestRC . y , d ) ;
setOutput ( newValue ) ;
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}
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` }};function hH(e){let{inputs:t,backend:n,attrs:r}=e,{images:a}=t,{alignCorners:s,halfPixelCenters:i,size:o}=r,[l,c]=o,u=new cH(a.shape,l,c,s,i);return n.runWebGLProgram(u,[a],a.dtype)}var dH={kernelName:_u,backendName:"webgl",kernelFunc:hH},pH=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,r,a]=t,[,s,i]=e,o=[n&&s>1?r-1:r,n&&i>1?a-1:a],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],c=o[0]/l[0],u=o[1]/l[1],h=1/c,d=1/u,p=Math.ceil(h)*2+2,f=Math.ceil(d)*2+2;this.userCode= `
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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 ;
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const float heightScale = float ( $ { c } ) ;
const float widthScale = float ( $ { u } ) ;
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const float invHeightScale = float ( $ { h } ) ;
const float invWidthScale = float ( $ { d } ) ;
const int winHeight = int ( $ { p } ) ;
const int winWidth = int ( $ { f } ) ;
// Compute bounds for where in dy we will look
float startRLerp = floor ( float ( r ) * invHeightScale ) ;
int startDyR = int ( floor ( startRLerp - float ( winHeight / 2 ) ) ) ;
float startCLerp = floor ( float ( c ) * invWidthScale ) ;
int startDyC = int ( floor ( startCLerp - float ( winWidth / 2 ) ) ) ;
// Loop over dy
for ( int dyROffset = 0 ; dyROffset < winHeight ; dyROffset ++ ) {
int dyR = dyROffset + startDyR ;
// Guard against the window exceeding the bounds of dy
if ( dyR < 0 || dyR >= $ { s } ) {
continue ;
}
for ( int dyCOffset = 0 ; dyCOffset < winWidth ; dyCOffset ++ ) {
int dyC = dyCOffset + startDyC ;
// Guard against the window exceeding the bounds of dy
if ( dyC < 0 || dyC >= $ { i } ) {
continue ;
}
float sourceFracRow =
float ( $ { o [ 0 ] } ) *
( float ( dyR ) / float ( $ { l [ 0 ] } ) ) ;
float sourceFracCol =
float ( $ { o [ 1 ] } ) *
( float ( dyC ) / float ( $ { l [ 1 ] } ) ) ;
int sourceNearestRow = int ( min (
float ( int ( $ { r } ) - 1 ) ,
$ { n } ? float ( round ( sourceFracRow ) ) :
float ( floor ( sourceFracRow ) ) ) ) ;
int sourceNearestCol = int ( min (
float ( int ( $ { a } ) - 1 ) ,
$ { n } ? float ( round ( sourceFracCol ) ) :
float ( floor ( sourceFracCol ) ) ) ) ;
if ( r == sourceNearestRow && c == sourceNearestCol ) {
accumulator += getDy ( b , dyR , dyC , d ) ;
}
}
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}
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// End loop over dy
setOutput ( accumulator ) ;
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}
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` }};function fH(e){let{inputs:t,backend:n,attrs:r}=e,{images:a,dy:s}=t,{alignCorners:i}=r,o=new pH(s.shape,a.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var mH={kernelName:Zh,backendName:"webgl",kernelFunc:fH},AH=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= `
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void main ( ) {
int coord = getOutputCoords ( ) ;
setOutput ( getX ( $ { e [ 0 ] } - coord - 1 ) ) ;
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}
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` ;return}let r=i=>t.indexOf(i)!==-1&&e[i]!==1? ` $ { e [ i ] } - coords [ $ { i } ] - 1 ` : ` coords [ $ { i } ] ` ,a=e.map((i,o)=>r(o)).join(","),s=ut(n);this.userCode= `
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void main ( ) {
$ { s } coords = getOutputCoords ( ) ;
setOutput ( getX ( $ { a } ) ) ;
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}
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` }},yH=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 r=fn("rc",n),a= ` $ { r [ n - 1 ] } + 1 < $ { this . outputShape [ n - 1 ] } ` ,s= ` $ { r [ n - 2 ] } + 1 < $ { this . outputShape [ n - 2 ] } ` ,i=ut(n);n===1?this.userCode= `
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void main ( ) {
int rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
result . r = getChannel ( getX ( $ { e [ 0 ] } - rc - 1 ) ,
$ { e [ 0 ] } - rc - 1 ) ;
if ( $ { a } ) {
result . g = getChannel ( getX ( $ { e [ 0 ] } - ( rc + 1 ) - 1 ) ,
$ { e [ 0 ] } - ( rc + 1 ) - 1 ) ;
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}
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setOutput ( result ) ;
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}
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` :this.userCode= `
void main ( ) {
$ { i } rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
result . r = $ { o ( r . slice ( ) ) } ;
if ( $ { a } ) {
result . g = $ { l ( r . slice ( ) ) } ;
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}
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if ( $ { s } ) {
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result . b = $ { c ( r . slice ( ) ) } ;
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if ( $ { a } ) {
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result . a = $ { u ( r . slice ( ) ) } ;
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}
}
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setOutput ( result ) ;
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}
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` ;function o(p){return h(p)}function l(p){return p[n-1]="("+p[n-1]+" + 1)",h(p)}function c(p){return p[n-2]="("+p[n-2]+" + 1)",h(p)}function u(p){return p[n-1]="("+p[n-1]+" + 1)",p[n-2]="("+p[n-2]+" + 1)",h(p)}function h(p){let f=e.map((y,g)=>d(g,p)),m=f.join(","),A=f.slice(-2).join(",");return ` getChannel ( getX ( $ { m } ) , vec2 ( $ { A } ) ) ` }function d(p,f){return t.indexOf(p)!==-1&&e[p]!==1? ` $ { e [ p ] } - $ { f [ p ] } - 1 ` : ` $ { f [ p ] } ` }}};function gH(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{dims:s}=r,i=a.shape.length,o=v.parseAxisParam(s,a.shape);if(i===0)return On({inputs:{x:a},backend:n});let l=J().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new yH(a.shape,o):new AH(a.shape,o);return n.runWebGLProgram(l,[a],a.dtype)}var xH={kernelName:Bs,backendName:"webgl",kernelFunc:gH},wH=class{constructor(e,t){this.variableNames=["Image"],this.outputShape=[];let n=e[1],r=e[2];this.outputShape=e;let a="";typeof t=="number"?a= ` float outputValue = $ { t . toFixed ( 2 ) } ; ` :a= `
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vec3 fill = vec3 ( $ { t . join ( "," ) } ) ;
float outputValue = fill [ coords [ 3 ] ] ; ` ,this.userCode= `
uniform vec4 params ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int x = coords [ 2 ] ;
int y = coords [ 1 ] ;
float coordXFloat = ( float ( x ) - params [ 0 ] ) * params [ 3 ] -
( float ( y ) - params [ 1 ] ) * params [ 2 ] ;
float coordYFloat = ( float ( x ) - params [ 0 ] ) * params [ 2 ] +
( float ( y ) - params [ 1 ] ) * params [ 3 ] ;
int coordX = int ( round ( coordXFloat + params [ 0 ] ) ) ;
int coordY = int ( round ( coordYFloat + params [ 1 ] ) ) ;
$ { a }
if ( coordX >= 0 && coordX < $ { r } && coordY >= 0 && coordY < $ { n } ) {
outputValue = getImage ( coords [ 0 ] , coordY , coordX , coords [ 3 ] ) ;
}
setOutput ( outputValue ) ;
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}
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` }getCustomSetupFunc(e,t,n,r){return(a,s)=>{this.paramsLoc==null&&(this.paramsLoc=a.getUniformLocationNoThrow(s,"params")),a.gl.uniform4f(this.paramsLoc,e,t,n,r)}}},bH={kernelName:Ko,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{image:r}=e,{radians:a,fillValue:s,center:i}=t,o=n,l=new wH(r.shape,s),[c,u]=R.getImageCenter(i,r.shape[1],r.shape[2]),h=l.getCustomSetupFunc(c,u,Math.sin(a),Math.cos(a));return o.runWebGLProgram(l,[r],r.dtype,h)}},_H= `
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// 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 ;
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}
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}
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` ,vH=Ze({opSnippet:_H}),kH={kernelName:Vs,backendName:"webgl",kernelFunc:vH},IH="return inversesqrt(x);",NH=Ze({opSnippet:IH,cpuKernelImpl:dP}),SH={kernelName:Us,backendName:"webgl",kernelFunc:NH},R_=class{constructor(e,t,n,r,a,s,i=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;let o=ut(a.length),l=ut(s.length),c="";n===1?c="i":n===2&&(c="i, j");let u= ` getIndices ( $ { c } ) ` ,h="";r===1?h="i":r===2&&(h="i, coords[1]");let d= ` getUpdates ( $ { h } ) ` ,p=t>1?"strides[j]":"strides";this.userCode= `
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$ { o } strides = $ { o } ( $ { a } ) ;
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 ++ ) {
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int index = round ( $ { u } ) ;
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flattenedIndex += index * $ { p } ;
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}
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if ( flattenedIndex == coords [ 0 ] ) {
sum += $ { d } ;
found = true ;
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}
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}
setOutput ( mix ( getDefaultValue ( ) , sum , float ( found ) ) ) ;
}
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` }};function TH(e){let{inputs:t,backend:n,attrs:r}=e,{indices:a,updates:s}=t,{shape:i}=r,{sliceRank:o,numUpdates:l,sliceSize:c,strides:u,outputSize:h}=R.calculateShapes(s,a,i),d=[h/c,c];if(h===0)return n.makeTensorInfo(i,a.dtype);let p=ye({inputs:{x:a},backend:n,attrs:{shape:[l,o]}}),f=ye({inputs:{x:s},backend:n,attrs:{shape:[l,c]}}),m=n.makeTensorInfo([],"float32",new Float32Array([0])),A=new R_(l,o,p.shape.length,f.shape.length,u,d),y=n.runWebGLProgram(A,[f,p,m],f.dtype),g=ye({inputs:{x:y},backend:n,attrs:{shape:i}});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(m),g}var CH={kernelName:Oo,backendName:"webgl",kernelFunc:TH},EH=class{constructor(e,t,n){this.variableNames=["c","a","b"],this.outputShape=t;let r,a;if(n>4)throw Error( ` Where for rank $ { n } is not yet supported ` );if(n===1)a="resRC",r="resRC";else{let i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],l=[];for(let c=0;c<t.length;c++)l.push( ` $ { i [ c ] } ` ),c<e&&o.push( ` $ { i [ c ] } ` );r=o.join(),a=l.join()}let s=ut(n);this.userCode= `
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void main ( ) {
$ { s } resRC = getOutputCoords ( ) ;
float cVal = getC ( $ { r } ) ;
if ( cVal >= 1.0 ) {
setOutput ( getA ( $ { a } ) ) ;
} else {
setOutput ( getB ( $ { a } ) ) ;
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}
}
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` }};function RH(e){let{inputs:t,backend:n}=e,{condition:r,t:a,e:s}=t,i=new EH(r.shape.length,a.shape,a.shape.length);return n.runWebGLProgram(i,[r,a,s],rr(a.dtype,s.dtype))}var MH={kernelName:zo,backendName:"webgl",kernelFunc:RH},FH= `
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// Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
// see: https://arxiv.org/abs/1706.02515
float scaleAlpha = $ { R . SELU _SCALEALPHA } ;
float scale = $ { R . SELU _SCALE } ;
return ( x >= 0.0 ) ? scale * x : scaleAlpha * ( exp ( x ) - 1.0 ) ;
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` , $ H=Ze({opSnippet:FH}),DH={kernelName:Po,backendName:"webgl",kernelFunc: $ H},OH="return 1.0 / (1.0 + exp(-1.0 * x));",zH=Ze({opSnippet:OH}),PH={kernelName:Hs,backendName:"webgl",kernelFunc:zH},LH= `
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if ( isnan ( x ) ) { return 0.0 ; }
return sign ( x ) ;
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` ,WH=Ze({opSnippet:LH}),BH={kernelName:Bo,backendName:"webgl",kernelFunc:WH},VH=jb+ `
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return sin ( x ) ;
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` ,UH=Ze({opSnippet:VH}),jH={kernelName:js,backendName:"webgl",kernelFunc:UH},HH= `
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float e2x = exp ( x ) ;
return ( e2x - 1.0 / e2x ) / 2.0 ;
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` ,GH=Ze({opSnippet:HH}),qH={kernelName:Wo,backendName:"webgl",kernelFunc:GH},XH= `
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float epsilon = 1.1920928955078125 e - 7 ;
float threshold = log ( epsilon ) + 2.0 ;
bool too _large = x > - threshold ;
bool too _small = x < threshold ;
float result ;
float exp _x = exp ( x ) ;
if ( too _large ) {
result = x ;
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}
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else if ( too _small ) {
result = exp _x ;
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}
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else {
result = log ( exp _x + 1.0 ) ;
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}
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return result ;
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` ,KH=Ze({opSnippet:XH}),ZH={kernelName:Vo,backendName:"webgl",kernelFunc:KH},YH=e=>{let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{blockShape:s,paddings:i}=r;v.assert(a.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((y,g)=>y*g),l=[[0,0]];l.push(...i);for(let y=1+s.length;y<a.shape.length;++y)l.push([0,0]);let c=[],u=C_({inputs:{x:a},backend:n,attrs:{paddings:l,constantValue:0}}),h=R.getReshaped(u.shape,s,o,!1),d=R.getPermuted(h.length,s.length,!1),p=R.getReshapedPermuted(u.shape,s,o,!1),f=ye({inputs:{x:u},backend:n,attrs:{shape:h}}),m=In({inputs:{x:f},backend:n,attrs:{perm:d}}),A=ye({inputs:{x:m},backend:n,attrs:{shape:p}});return c.push(u),c.push(f),c.push(m),c.forEach(y=>n.disposeIntermediateTensorInfo(y)),A},JH={kernelName:vu,backendName:"webgl",kernelFunc:YH};function QH(e){let{inputs:t,backend:n,attrs:r}=e,{sparseIndices:a,sparseValues:s,defaultValue:i}=t,{outputShape:o}=r,{sliceRank:l,numUpdates:c,strides:u,outputSize:h}=R.calculateShapes(s,a,o),d=!1,p=new R_(c,l,a.shape.length,s.shape.length,u,[h,1],d),f=n.runWebGLProgram(p,[s,a,i],s.dtype),m=ye({inputs:{x:f},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(f),m}var eG={kernelName:Jh,backendName:"webgl",kernelFunc:QH};function tG(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{numOrSizeSplits:s,axis:i}=r,o=v.parseAxisParam(i,a.shape)[0],l=R.prepareSplitSize(a,s,o),c=a.shape.length,u=new Array(c).fill(0),h=a.shape.slice();return l.map(d=>{let p=[...h];p[o]=d;let f=pc({inputs:{x:a},backend:n,attrs:{begin:u,size:p}});return u[o]+=d,f})}var nG={kernelName:Uo,backendName:"webgl",kernelFunc:tG},rG="return sqrt(x);",aG=Ze({opSnippet:rG}),sG={kernelName:Gs,backendName:"webgl",kernelFunc:aG},iG="return x * x;",oG=Ze({opSnippet:iG}),lG={kernelName:ku,backendName:"webgl",kernelFunc:oG},M_="return (a - b) * (a - b);",uG=nn({opSnippet:M_,packedOpSnippet:M_}),cG={kernelName:Ks,backendName:"webgl",kernelFunc:uG};function hG({inputs:e,attrs:t,backend:n}){let{x:r}=e,a=xr+ `
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return x > 0.0 ? 1.0 : float ( $ { t . alpha } ) ;
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` ,s=new Ba(r.shape,a);return n.runWebGLProgram(s,[r],r.dtype)}var dG={kernelName:Ta,backendName:"webgl",kernelFunc:hG},pG=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=n;let r=n.length,a=ut(n.length),s=ut(n.length),i="";if(r===1)i="coords * strides + begin";else{let o=0;i=n.map((l,c)=>(o++,n.length===1? ` coords * strides [ $ { c } ] + begin [ $ { c } ] ` : ` coords [ $ { o - 1 } ] * strides [ $ { c } ] + begin [ $ { c } ] ` )).join(",")}this.userCode= `
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$ { a } begin = $ { a } ( $ { e } ) ;
$ { a } strides = $ { a } ( $ { t } ) ;
void main ( ) {
$ { s } coords = getOutputCoords ( ) ;
setOutput ( getX ( $ { i } ) ) ;
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}
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` }};function fG(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:c,ellipsisMask:u,newAxisMask:h,shrinkAxisMask:d}=r,{nonStrided:p, $ begin:f, $ strides:m,size:A,newShape:y,outShape:g}=un.sliceInfo(a.shape,s,i,o,l,c,u,h,d),w=ye({inputs:{x:a},backend:n,attrs:{shape:y}}),b;if(p){let x=pc({inputs:{x:w},backend:n,attrs:{begin:f,size:A}});b=ye({inputs:{x},backend:n,attrs:{shape:g}}),n.disposeIntermediateTensorInfo(x)}else if(g.some(x=>x===0))b=n.makeTensorInfo(g,a.dtype,[]);else if(n.shouldExecuteOnCPU([w])){let x=n.texData.get(w.dataId).values,N=We(w.shape,w.dtype,x),T=fP(g,N,m,f);b=n.makeTensorInfo(g,w.dtype,T.values)}else{let x=new pG(f,m,g);b=n.runWebGLProgram(x,[w],w.dtype)}let _=ye({inputs:{x:b},backend:n,attrs:{shape:g}});return n.disposeIntermediateTensorInfo(w),n.disposeIntermediateTensorInfo(b),_}var mG={kernelName:jo,backendName:"webgl",kernelFunc:fG},AG="return tan(x);",yG=Ze({opSnippet:AG}),gG={kernelName:Ho,backendName:"webgl",kernelFunc:yG},xG= `
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float e2x = exp ( - 2.0 * abs ( x ) ) ;
return sign ( x ) * ( 1.0 - e2x ) / ( 1.0 + e2x ) ;
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` ,wG=Ze({opSnippet:xG}),bG={kernelName:Ys,backendName:"webgl",kernelFunc:wG},vG=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let s=0;s<n.length;s++)n[s]=e[s]*t[s];this.outputShape=n,this.rank=n.length;let r=ut(this.rank),a=_G(e);this.userCode= `
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void main ( ) {
$ { r } resRC = getOutputCoords ( ) ;
setOutput ( getA ( $ { a } ) ) ;
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}
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` }};function _G(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"],r=[];for(let a=0;a<e.length;a++)r.push( ` imod ( $ { n [ a ] } , $ { e [ a ] } ) ` );return r.join()}function F_(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{reps:s}=r;if(a.dtype==="string"){let o=n.readSync(a.dataId).map(u=>v.decodeString(u)),l=We(a.shape,a.dtype,o),c=AP(l,s);return n.makeTensorInfo(c.shape,c.dtype,c.values)}let i=new vG(a.shape,s);return n.runWebGLProgram(i,[a],a.dtype)}var kG={kernelName:Sa,backendName:"webgl",kernelFunc:F_};function IG(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{k:s,sorted:i}=r,o=n.readSync(a.dataId),[l,c]=yP(o,a.shape,a.dtype,s,i);return[n.makeTensorInfo(l.shape,l.dtype,l.values),n.makeTensorInfo(c.shape,c.dtype,c.values)]}var NG={kernelName:Go,backendName:"webgl",kernelFunc:IG},SG=class{constructor(e,t,n,r,a,s){this.variableNames=["Image","Transforms"],this.outputShape=s;let i=n==="nearest"?1:2,o;switch(r){case"constant":o=1;break;case"reflect":o=2;break;case"wrap":o=3;break;case"nearest":o=4;break;default:o=1;break}this.userCode= `
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float mapCoord ( float outCoord , float len ) {
float inCoord = outCoord ;
if ( $ { o } == 2 ) {
if ( inCoord < 0.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz2 = 2.0 * len ;
if ( inCoord < sz2 ) {
inCoord = sz2 * float ( int ( float ( - inCoord / sz2 ) ) ) +
inCoord ;
}
inCoord = inCoord < - len ? inCoord + sz2 : - inCoord - 1.0 ;
}
} else if ( inCoord > len - 1.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz2 = 2.0 * len ;
inCoord -= sz2 * float ( int ( float ( inCoord / sz2 ) ) ) ;
if ( inCoord >= len ) {
inCoord = sz2 - inCoord - 1.0 ;
}
}
}
return clamp ( inCoord , 0.0 , len - 1.0 ) ;
} else if ( $ { o } == 3 ) {
if ( inCoord < 0.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz = len - 1.0 ;
inCoord += len * ( float ( int ( float ( - inCoord / sz ) ) ) + 1.0 ) ;
}
} else if ( inCoord > len - 1.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz = len - 1.0 ;
inCoord -= len * float ( int ( float ( inCoord / sz ) ) ) ;
}
}
return clamp ( inCoord , 0.0 , len - 1.0 ) ;
} else if ( $ { o } == 4 ) {
return clamp ( outCoord , 0.0 , len - 1.0 ) ;
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} else {
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return outCoord ;
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}
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}
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 ) ;
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} else {
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outputValue = float ( $ { a } ) ;
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}
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return outputValue ;
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}
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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 ( $ { a } ) ;
} else {
float inX = ( a1 * xf + a2 * yf + a3 ) / projection ;
float inY = ( b1 * xf + b2 * yf + b3 ) / projection ;
float mapX = mapCoord ( inX , float ( $ { t } ) ) ;
float mapY = mapCoord ( inY , float ( $ { e } ) ) ;
if ( $ { i } == 1 ) {
int coordY = int ( round ( mapY ) ) ;
int coordX = int ( round ( mapX ) ) ;
outputValue = readWithFillValue ( batch , coordY , coordX ,
channel ) ;
} else {
float yFloor = floor ( mapY ) ;
float xFloor = floor ( mapX ) ;
float yCeil = yFloor + 1.0 ;
float xCeil = xFloor + 1.0 ;
float valueYFloor = ( xCeil - mapX ) *
readWithFillValue ( batch , int ( yFloor ) , int ( xFloor ) , channel ) +
( mapX - xFloor ) *
readWithFillValue ( batch , int ( yFloor ) , int ( xCeil ) , channel ) ;
float valueYCeil = ( xCeil - mapX ) *
readWithFillValue ( batch , int ( yCeil ) , int ( xFloor ) , channel ) +
( mapX - xFloor ) *
readWithFillValue ( batch , int ( yCeil ) , int ( xCeil ) , channel ) ;
outputValue = ( yCeil - mapY ) * valueYFloor +
( mapY - yFloor ) * valueYCeil ;
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}
}
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setOutput ( outputValue ) ;
}
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` }};function TG(e){let{inputs:t,backend:n,attrs:r}=e,{image:a,transforms:s}=t,{interpolation:i,fillMode:o,fillValue:l,outputShape:c}=r,[u,h,d,p]=a.shape,[f,m]=c!=null?c:[h,d],A=[u,f,m,p],y=new SG(h,d,i,o,l,A);return n.runWebGLProgram(y,[a,s],"float32")}var CG={kernelName:Qh,backendName:"webgl",kernelFunc:TG};function EG(e){let{inputs:t,attrs:n,backend:r}=e,{axis:a}=n,{x:s}=t;vl(s,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let i=r.readSync(s.dataId),{outputValues:o,outputShape:l,indices:c}=gP(i,a,s.shape,s.dtype);return[r.makeTensorInfo(l,s.dtype,o),r.makeTensorInfo([c.length],"int32",c)]}var RG={kernelName:ed,backendName:"webgl",kernelFunc:EG};function MG(e){let{inputs:t,backend:n,attrs:r}=e,{value:a}=t,{axis:s}=r;s<0&&(s+=a.shape.length);let i=a,o=i.shape.length,l=a.shape[s],c=new Array(o-1),u=0;for(let m=0;m<o;m++)m!==s&&(c[u++]=i.shape[m]);let h=[],d=new Array(o).fill(0),p=i.shape.slice();p[s]=1;let f=new Array(l);for(let m=0;m<f.length;m++){d[s]=m;let A=pc({inputs:{x:i},backend:n,attrs:{begin:d,size:p}}),y=ye({inputs:{x:A},backend:n,attrs:{shape:c}});f[m]=y,h.push(A)}return h.forEach(m=>n.disposeIntermediateTensorInfo(m)),f}var FG={kernelName:qo,backendName:"webgl",kernelFunc:MG}, $ G=class{constructor(e,t){this.variableNames=["x","segmentIds"];let n=e.windowSize,r=e.batchSize,a=e.inSize,s=e.numSegments,i=s*Math.ceil(a/n);this.outputShape=[r,i];let o="0.0",l="sumValue",c=Math.floor(n/4)*4,u=n%4,h= `
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sumValue += dot ( values , segFilter ) ;
` ,d="";a%n>0&&(d= `
if ( inIdx < 0 || inIdx >= $ { a } ) {
return initializationValue ;
}
` );let p="";a%n>0&&(p= `
if ( inIdx < 0 || inIdx >= $ { a } ) {
return - 1.0 ;
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}
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` ),this.userCode= `
const float initializationValue = $ { o } ;
float getValue ( int batch , int inIdx ) {
$ { d }
return getX ( batch , inIdx ) ;
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}
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float getSegmentIdAtIndex ( int inIdx ) {
$ { p }
return getSegmentIds ( inIdx ) ;
}
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = int ( floor ( float ( outIdx ) / float (
$ { s } ) ) * float ( $ { n } ) ) ;
int currentSeg = int ( mod ( float ( outIdx ) , float ( $ { s } ) ) ) ;
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float sumValue = 0.0 ;
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for ( int i = 0 ; i < $ { c } ; i += 4 ) {
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int inIdx = inOffset + i ;
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
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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
) ;
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$ { h }
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}
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int inIdx = inOffset + $ { c } ;
if ( $ { u === 1 } ) {
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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
) ;
$ { h }
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} else if ( $ { u === 2 } ) {
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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
) ;
$ { h }
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} else if ( $ { u === 3 } ) {
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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
) ;
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$ { h }
}
setOutput ( $ { l } ) ;
}
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` }};function DG(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,segmentIds:s}=t,{numSegments:i}=r,o=a.shape.length,l=[],c=0,u=R.getAxesPermutation([c],o),h=a;u!=null&&(h=In({inputs:{x:a},backend:n,attrs:{perm:u}}),l.push(h),c=R.getInnerMostAxes(1,o)[0]);let d=R.segment_util.computeOutShape(h.shape,c,i),p=v.sizeFromShape([h.shape[c]]),f=ye({inputs:{x:h},backend:n,attrs:{shape:[-1,p]}});l.push(f);let m=id(a.dtype),A=(b,_,x,N,T)=>{let C=b.shape[0],F=b.shape[1],z=R.segment_util.segOpComputeOptimalWindowSize(F,T),B={windowSize:z,inSize:F,batchSize:C,numSegments:T},V=new $ G(B,_),U=n.compileAndRun(V,[b,x],N);if(l.push(U),U.shape[1]===T)return U;let j=E_({backend:n,attrs:{start:0,stop:T,step:1,dtype:"float32"}}),X=F_({inputs:{x:j},backend:n,attrs:{reps:[F/z]}});return l.push(j),l.push(X),A(U,_,X,N,T)},y=A(f,"unsortedSegmentSum",s,m,i),g=ye({inputs:{x:y},backend:n,attrs:{shape:d}}),w=g;if(u!=null){l.push(g);let b=R.getUndoAxesPermutation(u);w=In({inputs:{x:w},backend:n,attrs:{perm:b}})}return l.forEach(b=>n.disposeIntermediateTensorInfo(b)),w}var OG={kernelName:Iu,backendName:"webgl",kernelFunc:DG},zG=[NU,CU,fL,AL,xL,_L,kL,SL,CL,RL,DL,zL,WL,UL,ZL,GL,QL,rW,tW,oW,uW,hW,mW,_W,kW,EW,MW,OW,LW,KP,UW,QW,tB,qW,sB,oB,rB,cB,pB,AB,gB,wB,vB,CB,RB,IB, $ B,zB,BB,HB,KB,JB,QB,eV,nV,aV,iV,lV,cV,fV,gV,wV,_V,IV,CV,FV,zV,XP,LV,VW,VV,HV,XV,YP,JV,nU,aU,hU,lU,mU,gU,_U,RU,LU,zU,UU,HU,qU,DU,KU,YU,tj,sj,uj,yj,nL,xj,_j,Ij,Tj,NW,Rj,Fj,Dj,Pj,Vj,QP,jj,Hj,SW,pj,Xj,nH,Jj,aL,iH,uH,dH,mH,xH,bH,kH,SH,CH,MH,DH,PH,BH,jH,qH,wW,mj,ZH,JH,eG,nG,sG,lG,cG,dG,mG,fj,hL,gG,bG,kG,NG,CG,dL,RG,FG,OG,Mj];for(let e of zG)ni(e);var zn;(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"})(zn||(zn={}));var mc;(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"})(mc||(mc={}));var $ _;function PG(e){ $ _=e.wasm.cwrap(Qs,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function LG(e){let{inputs:t,backend:n,attrs:r}=e,{a,b:s,bias:i,preluActivationWeights:o}=t;if(a.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:l,transposeB:c,activation:u,leakyreluAlpha:h}=r,d=n.dataIdMap.get(a.dataId).id,p=n.dataIdMap.get(s.dataId).id,f=0;if(i!=null){let T=n.dataIdMap.get(i.dataId);if(T.shape.length!==1)throw new Error( ` _FusedMatMul only supports rank - 1 bias but got rank $ { T . shape . length } . ` );f=T.id}let m=o==null?0:n.dataIdMap.get(o.dataId).id,A=mc[u];if(A==null)throw new Error( ` $ { u } activation not yet supported for FusedConv2D in the wasm backend . ` );let y=l?a.shape[2]:a.shape[1],g=c?s.shape[1]:s.shape[2],w=a.shape[0],b=n.makeOutput([w,y,g],a.dtype),_=n.dataIdMap.get(b.dataId).id,x=new Uint8Array(new Int32Array(a.shape).buffer),N=new Uint8Array(new Int32Array(s.shape).buffer);return $ _(d,x,a.shape.length,p,N,s.shape.length,l,c,A,f,m,h||0,_),b}var WG={kernelName:Qs,backendName:"wasm",setupFunc:PG,kernelFunc:LG};function Nn(e){let t;function n(a){t=a.wasm.cwrap(e,null,["number","number"])}function r(a){let{backend:s,inputs:{x:i}}=a,o=s.dataIdMap.get(i.dataId).id,l=s.makeOutput(i.shape,i.dtype),c=s.dataIdMap.get(l.dataId).id;return v.sizeFromShape(l.shape)===0||t(o,c),l}return{kernelName:e,backendName:"wasm",setupFunc:n,kernelFunc:r}}var BG=Nn(Zi);function mn(e,t,n){let r;function a(i){r=i.wasm.cwrap(e,null,["number","array","number","number","array","number","number","number"])}function s(i){let{backend:o,inputs:l}=i,{a:c,b:u}=l,h=o.dataIdMap.get(c.dataId).id,d=o.dataIdMap.get(u.dataId).id,p=n!=null?n:c.dtype,f=R.assertAndGetBroadcastShape(c.shape,u.shape),m=o.makeOutput(f,p);if(v.sizeFromShape(f)===0)return m;let A=new Uint8Array(new Int32Array(c.shape).buffer),y=new Uint8Array(new Int32Array(u.shape).buffer),g=o.dataIdMap.get(m.dataId).id,w=()=>r(h,A,c.shape.length,d,y,u.shape.length,zn[c.dtype],g);if(t&&c.dtype==="float32")return w(),m;let b=R.getBroadcastDims(c.shape,f),_=R.getBroadcastDims(u.shape,f),
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1. The $ { r } is defined in Python , in which case it needs to be ported to TensorFlow . js or your JavaScript code .
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2. The custom $ { r } is defined in JavaScript , but is not registered properly with tf . serialization . registerClass ( ) . ` );return i}else{let s=e;if(s.className==null||s.config==null)throw new W( ` $ { r } : Improper config format : $ { JSON . stringify ( s ) } .
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'className' and 'config' must set . ` );let i=s.className,o,l;if(i in n?[o,l]=n[i]:i in lr?[o,l]=lr.className:i in t&&([o,l]=t[i]),o==null)throw new W( ` Unknown $ { r } : $ { i } . This may be due to one of the following reasons :
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1. The $ { r } is defined in Python , in which case it needs to be ported to TensorFlow . js or your JavaScript code .
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2. The custom $ { r } is defined in JavaScript , but is not registered properly with tf . serialization . registerClass ( ) . ` );if(l!=null){let c={};for(let p of Object.keys(lr))c[p]=lr[p];for(let p of Object.keys(n))c[p]=n[p];let u=s.config;u.customObjects=c;let h=Object.assign({},lr);for(let p of Object.keys(n))lr[p]=n[p];fA(s.config);let d=l(o,s.config,n,a);return lr=Object.assign({},h),d}else{let c=Object.assign({},lr);for(let h of Object.keys(n))lr[h]=n[h];let u=new o(s.config);return lr=Object.assign({},c),u}}}function zJ(e,t){return e<t?-1:e>t?1:0}function Ip(e,t){return-1*zJ(e,t)}function Ua(e){if(e==null)return e;let t=[];for(let n of e)t.indexOf(n)===-1&&t.push(n);return t}function PJ(e){if(e==null)throw new W( ` Invalid value in obj : $ { JSON . stringify ( e ) } ` );for(let t in e)if(e.hasOwnProperty(t))return!1;return!0}function Ii(e,t,n){if(n!=null&&e.indexOf(n)<0)throw new W( ` $ { n } is not a valid $ { t } . Valid values are $ { e } or null / undefined . ` )}function mA(e,t,n=0,r=Infinity){return Vr(n>=0),Vr(r>=n),Array.isArray(e)&&e.length>=n&&e.length<=r&&e.every(a=>typeof a===t)}function Xt(e,t){Array.isArray(e)?(v.assert(e.length>0,()=> ` $ { t } is unexpectedly an empty array . ` ),e.forEach((n,r)=>Xt(n, ` element $ { r + 1 } of $ { t } ` ))):v.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 LJ(e,t){let n=v.now(),r;return(...a)=>{let s=v.now();return s-n<t||(n=s,r=e(...a)),r}}function W3(e){return e==="relu"?"relu":e==="linear"?"linear":e==="elu"?"elu":null}function AA(e,t){return L(()=>en(Ce(O(e,e),t,!0)))}var wc=class extends re.Serializable{getConfig(){return{}}},yA=class extends wc{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 L(()=>{let t=AA(e,this.axis),n=_n(t,0,this.maxValue);return O(e,xe(n,se(Bt(),t)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};yA.className="MaxNorm";re.registerClass(yA);var gA=class extends wc{constructor(e){super();this.defaultAxis=0,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return L(()=>xe(e,se(Bt(),AA(e,this.axis))))}getConfig(){return{axis:this.axis}}};gA.className="UnitNorm";re.registerClass(gA);var xA=class extends wc{apply(e){return Pr(e)}};xA.className="NonNeg";re.registerClass(xA);var wA=class extends wc{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 L(()=>{let t=AA(e,this.axis),n=se(O(this.rate,_n(t,this.minValue,this.maxValue)),O(1-this.rate,t));return O(e,xe(n,se(Bt(),t)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};wA.className="MinMaxNorm";re.registerClass(wA);var B3={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function Vt(e){return pA(e)}function V3(e,t={}){return xc(e,re.SerializationMap.getMap().classNameMap,t,"constraint")}function Ut(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in B3?B3[e]:e,config:{}};return V3(t)}else return e instanceof wc?e:V3(e)}function FJ(e){return new yA(e)}function $ J(e){return new gA(e)}function DJ(){return new xA}function OJ(e){return new wA(e)}var U3={};ze(U3,{constant:()=>VJ,glorotNormal:()=>KJ,glorotUniform:()=>XJ,heNormal:()=>ZJ,heUniform:()=>YJ,identity:()=>GJ,leCunNormal:()=>JJ,leCunUniform:()=>QJ,ones:()=>BJ,orthogonal:()=>eQ,randomNormal:()=>jJ,randomUniform:()=>UJ,truncatedNormal:()=>HJ,varianceScaling:()=>qJ,zeros:()=>WJ});var tQ=["channelsFirst","channelsLast"],nQ=["nearest","bilinear"],rQ=["valid","same","causal"],aQ=["max","avg"],sQ=["sum","mul","concat","ave"],Dl=new Map;function Ct(e){Ii(tQ,"DataFormat",e)}function
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),hr(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,Gt(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,r)=>this.write(n,t[r]))}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 r=0;r<this.size();r++)e.push(r)}if(e.length===0)return gr([],[0].concat(this.elementShape));let n=this.readMany(e);return hr(this.elementShape,n[0].shape,"TensorArray shape mismatch: "),hn(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 gr([],[0].concat(this.elementShape));let t=[];for(let r=0;r<this.size();r++)t.push(r);let n=this.readMany(t);return hr(this.elementShape,n[0].shape, ` TensorArray shape mismatch : tensor array shape ( $ { this . elementShape } ) vs first tensor shape ( $ { n [ 0 ] . shape } ) ` ),at(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,ir(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,r=e.map(o=>(n+=o,n));if(n!==t.shape[0])throw new Error( ` Expected sum of lengths to be equal to
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tensor . shape [ 0 ] , but sum of lengths is
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$ { 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 a=n===0?0:t.size/n,s=[];L(()=>{t=H(t,[1,n,a]);for(let o=0;o<e.length;++o){let l=o===0?0:r[o-1],c=[0,l,0],u=[1,e[o],a];s[o]=H(Re(t,c,u),this.elementShape)}return s});let i=[];for(let o=0;o<e.length;o++)i[o]=o;this.writeMany(i,s)}},Pc=class{constructor(e,t,n,r=-1){this.tensors=e,this.elementShape=t,this.elementDtype=n,e!=null&&e.forEach(a=>{if(n!==a.dtype)throw new Error( ` Invalid data types ; op elements $ { n } , but list elements $ { a . dtype } ` );hr(t,a.shape,"TensorList shape mismatch: "),Gt(a)}),this.idTensor=ve(0),this.maxNumElements=r,Gt(this.idTensor)}get id(){return this.idTensor.id}copy(){return new Pc([...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 . ` );hr(e,this.elementShape,"TensorList shape mismatch: ");let r=zc(this.elementShape,this.tensors,e);return L(()=>{let a=this.tensors.map(s=>H(s,r));return hn(a,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=zc(this.elementShape,this.tensors,e),r=this.tensors.pop();return hr(r.shape,e,"TensorList shape mismatch: "),H(r,n)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { e . dtype } , but list elements $ { this . elementDtype } ` );if(hr(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Gt(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 . ` );hr(this.tensors[e].shape,t,"TensorList shape mismatch: ");let r=zc(this.elementShape,this.tensors,t);return H(this.tensors[e],r)}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 . ` );hr(this.elementShape,t.shape,"TensorList shape mismatch: "),Gt(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 } ` );hr(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());let r=zc(this.elementShape,this.tensors,n);return e.length===0?gr([],[0].concat(r)):L(()=>{let a=e.map(s=>H(this.tensors[s],r));return hn(a,0)})}concat(e,t){if(!!e&&e!==this.elementDtype)throw new Error( ` TensorList dtype is $ { this . elementDtype } but concat requested dtype $ { e } ` );hr(this.elementShape,t,"TensorList shape mismatch: ");let n=zc(this.elementShape,this.tensors,t);return this.size()===0?gr([],[0].concat(n)):L(()=>{let r=this.tensors.map(a=>H(a,n));return at(r,0)})}};function Wne(e,t,n){let r=e.dtype;if(e.shape.length<1)throw new Error( ` Tensor
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tensor . shape [ 0 ] , but sum of lengths is
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$ { r } , and tensor ' s shape is : $ { e . shape } ` );let s=e.shape.slice(1),i=u2(s,n),o=r===0?0:e.size/r,l=L(()=>{let u=[];e=H(e,[1,r,o]);for(let h=0;h<t.length;++h){let d=h===0?0:a[h-1],p=[0,d,0],f=[1,t[h],o];u[h]=H(Re(e,p,f),i)}return e.dispose(),u}),c=new Pc([],n,e.dtype,t.length);for(let u=0;u<l.length;u++)c.setItem(u,l[u]);return c}var jne=async(e,t,n)=>{switch(e.op){case"If":case"StatelessIf":{let r=k("thenBranch",e,t,n),a=k("elseBranch",e,t,n),s=k("cond",e,t,n),i=k("args",e,t,n);return(await s.data())[0]?n.functionMap[r].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap):n.functionMap[a].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{let r=k("body",e,t,n),a=k("cond",e,t,n),s=k("args",e,t,n),i=await n.functionMap[a].executeFunctionAsync(s,n.tensorArrayMap,n.tensorListMap),o=s.map(u=>u.id),l=await i[0].data();i.forEach(u=>{!u.kept&&o.indexOf(u.id)===-1&&u.dispose()});let c=s;for(;l[0];){let u=c;c=await n.functionMap[r].executeFunctionAsync(c,n.tensorArrayMap,n.tensorListMap);let h=c.map(p=>p.id);u.forEach(p=>{!p.kept&&o.indexOf(p.id)===-1&&h.indexOf(p.id)===-1&&p.dispose()});let d=await n.functionMap[a].executeFunctionAsync(c,n.tensorArrayMap,n.tensorListMap);l=await d[0].data(),d.forEach(p=>{!p.kept&&o.indexOf(p.id)===-1&&h.indexOf(p.id)===-1&&p.dispose()})}return c}case"LoopCond":{let r=k("pred",e,t,n);return[da(r)]}case"Switch":{let r=k("pred",e,t,n),a=k("data",e,t,n);return a.kept||(a=da(a)),(await r.data())[0]?[void 0,a]:[a,void 0]}case"Merge":{let r=e.inputNames.find(a=>Cn(a,t,n)!==void 0);if(r){let a=Cn(r,t,n);return[da(a)]}return}case"Enter":{let r=k("frameName",e,t,n),a=k("tensor",e,t,n);return n.enterFrame(r),[da(a)]}case"Exit":{let r=k("tensor",e,t,n);return n.exitFrame(),[da(r)]}case"NextIteration":{let r=k("tensor",e,t,n);return n.nextIteration(),[da(r)]}case"TensorArrayV3":{let r=k("size",e,t,n),a=k("dtype",e,t,n),s=k("elementShape",e,t,n),i=k("dynamicSize",e,t,n),o=k("clearAfterRead",e,t,n),l=k("identicalElementShapes",e,t,n),c=k("name",e,t,n),u=new Lne(c,a,r,s,l,i,o);return n.addTensorArray(u),[u.idTensor,ve(1)]}case"TensorArrayWriteV3":{let r=k("tensorArrayId",e,t,n),a=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(r.id);return i.write(a,s),[i.idTensor]}case"TensorArrayReadV3":{let r=k("tensorArrayId",e,t,n),a=k("index",e,t,n);return[n.getTensorArray(r.id).read(a)]}case"TensorArrayGatherV3":{let r=k("tensorArrayId",e,t,n),a=k("indices",e,t,n),s=k("dtype",e,t,n);return[n.getTensorArray(r.id).gather(a,s)]}case"TensorArrayScatterV3":{let r=k("tensorArrayId",e,t,n),a=k("indices",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(r.id);return i.scatter(a,s),[i.idTensor]}case"TensorArrayConcatV3":{let r=k("tensorArrayId",e,t,n),a=n.getTensorArray(r.id),s=k("dtype",e,t,n);return[a.concat(s)]}case"TensorArraySplitV3":{let r=k("tensorArrayId",e,t,n),a=k("tensor",e,t,n),s=k("lengths",e,t,n),i=n.getTensorArray(r.id);return i.split(s,a),[i.idTensor]}case"TensorArraySizeV3":{let r=k("tensorArrayId",e,t,n),a=n.getTensorArray(r.id);return[ve(a.size(),"int32")]}case"TensorArrayCloseV3":{let r=k("tensorArrayId",e,t,n),a=n.getTensorArray(r.id);return a.clearAndClose(),[a.idTensor]}case"TensorListSetItem":{let r=k("tensorListId",e,t,n),a=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorList(r.id);return i.setItem(a,s),[i.idTensor]}case"TensorListGetItem":{let r=k("tensorListId",e,t,n),a=k("index",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTensorList(r.id).getItem(a,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let r=k("indices",e,t,n),a=k("tensor",e,t,n),s=k("elementShape",e,t,n),i=k("numElements",e,t,n),o=Vne(a,r,s,i);return n.addTensorList(o),[o.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let r=k("elementShape",e,t,n),a=k("elementDType",e,t,n),s;e.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=k(s,e,t,n),o=Bne(r,a,i);return n.addTensorList(o),[o.idTensor]}case"TensorListGather":{let r=k("tensorListId",e,t,n),a=k("indices",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTe
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2021-03-15 13:56:36 +01:00
` ),x.FRAGMENT_IDENTITY=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","void main(void) {","gl_FragColor = texture2D(texture, vUv);","}"].join( `
2021-03-18 01:16:40 +01:00
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2021-03-15 13:56:36 +01:00
` ),h.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( `
2021-03-17 19:35:11 +01:00
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` ),h.pixelate=function(_){let x=_/o,N=_/l,T=b(h.pixelate.SHADER);m.uniform2f(T.uniform.size,x,N),w()},h.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( `
2021-03-18 01:16:40 +01:00
` )}var S0=2048,Et=null,rn=null, $ t=null;function yg(e,t){let n;if(e instanceof je)n=Mr(e);else{let a=e.naturalWidth||e.videoWidth||e.width||e.shape&&e.shape[1]>0,s=e.naturalHeight||e.videoHeight||e.height||e.shape&&e.shape[2]>0,i=a,o=s;if(i>S0&&(i=S0,o=i*s/a),o>S0&&(o=S0,i=o*a/s),t.filter.width>0?i=t.filter.width:t.filter.height>0&&(i=a*(t.filter.height/s)),t.filter.height>0?o=t.filter.height:t.filter.width>0&&(o=s*(t.filter.width/a)),!i||!o)return Ee("Human: invalid input",e),{tensor:null,canvas:null};(!Et||Et.width!==i||Et.height!==o)&&(Et=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(i,o):document.createElement("canvas"),Et.width!==i&&(Et.width=i),Et.height!==o&&(Et.height=o));let l=Et.getContext("2d");if(e instanceof ImageData?l.putImageData(e,0,0):l.drawImage(e,0,0,a,s,0,0,Et.width,Et.height),t.filter.enabled){if((! $ t||!rn||Et.width!==rn.width||Et.height!==rn.height)&&(rn=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(Et.width,Et.height):document.createElement("canvas"),rn.width!==Et.width&&(rn.width=Et.width),rn.height!==Et.height&&(rn.height=Et.height), $ t=mr.flags.IS_BROWSER?new i4({canvas:rn}):null),! $ t)return{tensor:null,canvas:Et}; $ t.reset(), $ t.addFilter("brightness",t.filter.brightness),t.filter.contrast!==0&& $ t.addFilter("contrast",t.filter.contrast),t.filter.sharpness!==0&& $ t.addFilter("sharpen",t.filter.sharpness),t.filter.blur!==0&& $ t.addFilter("blur",t.filter.blur),t.filter.saturation!==0&& $ t.addFilter("saturation",t.filter.saturation),t.filter.hue!==0&& $ t.addFilter("hue",t.filter.hue),t.filter.negative&& $ t.addFilter("negative"),t.filter.sepia&& $ t.addFilter("sepia"),t.filter.vintage&& $ t.addFilter("brownie"),t.filter.sepia&& $ t.addFilter("sepia"),t.filter.kodachrome&& $ t.addFilter("kodachrome"),t.filter.technicolor&& $ t.addFilter("technicolor"),t.filter.polaroid&& $ t.addFilter("polaroid"),t.filter.pixelate!==0&& $ t.addFilter("pixelate",t.filter.pixelate), $ t.apply(Et)}else rn=Et, $ t&&( $ t=null);let c;if(rn.data){let h=[rn.height,rn.width,3];c=ud(rn.data,h,"int32")}else if(t.backend==="webgl"||rn instanceof ImageData)c=rl.fromPixels(rn);else{let h=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(i,o):document.createElement("canvas");h.width=i,h.height=o;let d=h.getContext("2d");d==null||d.drawImage(rn,0,0);let p=d==null?void 0:d.getImageData(0,0,i,o);c=rl.fromPixels(p)}let u=c.toFloat();n=u.expandDims(0),c.dispose(),u.dispose()}let r=t.filter.return?rn:null;return{tensor:n,canvas:r}}var gg={};er(gg,{all:()=>Lae,body:()=>u4,canvas:()=>Pae,drawOptions:()=>ie,face:()=>l4,gesture:()=>o4,hand:()=>c4,object:()=>h4});var ft={backend:"webgl",wasmPath:"../assets/",debug:!0,async:!0,profile:!1,deallocate:!1,scoped:!1,videoOptimized:!0,warmup:"face",filter:{enabled:!0,width:0,height:0,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:"../models/blazeface-back.json",rotation:!1,maxFaces:10,skipFrames:21,skipInitial:!1,minConfidence:.2,iouThreshold:.1,scoreThreshold:.2,return:!1},mesh:{enabled:!0,modelPath:"../models/facemesh.json"},iris:{enabled:!0,modelPath:"../models/iris.json"},age:{enabled:!0,modelPath:"../models/age.json",skipFrames:31},gender:{enabled:!0,minConfidence:.1,modelPath:"../models/gender.json",skipFrames:32},emotion:{enabled:!0,minConfidence:.1,skipFrames:33,modelPath:"../models/emotion.json"},embedding:{enabled:!1,modelPath:"../models/mobileface.json"}},body:{enabled:!0,modelPath:"../models/posenet.json",maxDetections:10,scoreThreshold:.3,nmsRadius:20},hand:{enabled:!0,rotation:!1,skipFrames:12,skipInitial:!1,minConfidence:.1,iouThreshold:.1,scoreThreshold:.5,maxHands:1,landmarks:!0,detector:{modelPath:"../models/handdetect.json"},skeleton:{modelPath:"../models/handskeleton.json"}},object:{enabled:!1,modelPath:"../models/nanodet.json",minConfidence:.15,iouThreshold:.25,maxResults:10,skipFrames:13}};var ie={color:"rgba(173, 216, 230, 0.3)",labelColor:"rgba(173, 216, 230, 1)",shadowColor:"black",font:'small-caps 16px "Segoe
2021-03-10 00:32:35 +01:00
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2021-03-10 00:32:35 +01:00
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2021-03-18 01:16:40 +01:00
2 Q == ` ;var d4="1.1.9";var it=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Vc(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,r)=>(Object.keys(r||{}).forEach(a=>{let s=n[a],i=r[a];Array.isArray(s)&&Array.isArray(i)?n[a]=s.concat(...i):t(s)&&t(i)?n[a]=Vc(s,i):n[a]=i}),n),{})}var Ve,Kl,Uc,jc, $ i,Rt,M0,Hc,F0,Gc, $ 0,D0,O0,bg=class{constructor(t={}){Ve.set(this,void 0);Kl.set(this,void 0);Uc.set(this,void 0);jc.set(this,void 0); $ i.set(this,void 0);Rt.set(this,(...t)=>{if(!me(this,Uc))return;let n=this.tf.engine().state.numTensors,r=me(this,Kl);_a(this,Kl,n);let a=n-r;a!==0&&Ee(...t,a)});M0.set(this,t=>{if(!me(this,jc))return null;if(!t)return"input is not defined";if(this.tf.ENV.flags.IS_NODE&&!(t instanceof je))return"input must be a tensor";try{this.tf.getBackend()}catch(n){return"backend not loaded"}return null});Hc.set(this,async(t=!1)=>{if(this.config.backend&&this.config.backend!==""&&t||this.tf.getBackend()!==this.config.backend){let n=it();if(this.state="backend",this.config.backend&&this.config.backend!==""){if(this.config.debug&&Ee("setting backend:",this.config.backend),this.config.backend==="wasm"){this.config.debug&&Ee("wasm path:",this.config.wasmPath),this.tf.setWasmPaths(this.config.wasmPath);let r=await this.tf.env().getAsync("WASM_HAS_SIMD_SUPPORT"),a=await this.tf.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");this.config.debug&&Ee( ` wasm execution : $ { r ? "SIMD" : "no SIMD" } $ { a ? "multithreaded" : "singlethreaded" } ` ),r||Ee("warning: wasm simd support is not enabled")}this.config.backend==="humangl"&&A6();try{await this.tf.setBackend(this.config.backend)}catch(r){Ee("error: cannot set backend:",this.config.backend,r)}}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"){this.config.deallocate&&(Ee("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1));let r=await this.tf.backend().getGPGPUContext().gl;this.config.debug&&Ee( ` gl version : $ { r . getParameter ( r . VERSION ) } renderer : $ { r . getParameter ( r . RENDERER ) } ` )}await this.tf.ready(),me(this,Ve).backend=Math.trunc(it()-n)}});F0.set(this,t=>{if(!t||t.length<300)return{roll:null,yaw:null,pitch:null};let n=(s,i,o,l)=>Math.atan2(l-i,o-s),r=s=>Math.abs(s*180/Math.PI%360);return{roll:n(t[33][0],t[33][1],t[263][0],t[263][1]),yaw:n(t[33][0],t[33][2],t[263][0],t[263][2]),pitch:n(t[10][1],t[10][2],t[152][1],t[152][2])}});Gc.set(this,async t=>{var c,u,h,d,p,f,m;let n,r,a,s,i,o=[];this.state="run:face",n=it();let l=await((c=this.models.face)==null?void 0:c.estimateFaces(t,this.config));if(me(this,Ve).face=Math.trunc(it()-n),!l)return[];for(let A of l){if(me(this,Rt).call(this,"Get Face"),!A.image||A.image.isDisposedInternal){Ee("Face object is disposed:",A.image);continue}let y=me(this,F0).call(this,A.mesh);me(this,Rt).call(this,"Start Age:"),this.config.async?r=this.config.face.age.enabled?N2(A.image,this.config):{}:(this.state="run:age",n=it(),r=this.config.face.age.enabled?await N2(A.image,this.config):{},me(this,Ve).age=Math.trunc(it()-n)),me(this,Rt).call(this,"Start Gender:"),this.config.async?a=this.config.face.gender.enabled?M2(A.image,this.config):{}:(this.state="run:gender",n=it(),a=this.config.face.gender.enabled?await M2(A.image,this.config):{},me(this,Ve).gender=Math.trunc(it()-n)),me(this,Rt).call(this,"Start Emotion:"),this.config.async?s=this.config.face.emotion.enabled?z2(A.image,this.config):{}:(this.state="run:emotion",n=it(),s=this.config.face.emotion.enabled?await z2(A.image,this.config):{},me(this,Ve).emotion=Math.trunc(it()-n)),me(this,Rt).call(this,"End Emotion:"),me(this,Rt).call(this,"Start Embedding:"),this.config.async?i=this.config.face.embedding.enabled?B2(A,this.config):[]:(this.state="run:embedding",n=it(),i=this.config.face.embedding.enabled?await B2(A,this.config):[],me(this,Ve).embedding=Math.trunc(it()-n)),me(this,Rt).call(this,"End Emotion:"),this.config.async&&([r,a,s,i]=await Promise.all([r,a,s,i])),me(this,Rt).call(this,"Finish Face:"),!this.config.face.iris.e
2021-03-15 13:56:36 +01:00
/ * *
* @ 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 .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/** @license See the LICENSE file. */
2021-03-10 00:32:35 +01:00
//# sourceMappingURL=human.js.map