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/ *
Face - API
homepage : < https : //github.com/vladmandic/face-api>
author : < https : //github.com/vladmandic>'
* /
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var faceapi = ( ( ) => { var PE = Object . create , Ed = Object . defineProperty , OE = Object . getPrototypeOf , LE = Object . prototype . hasOwnProperty , zE = Object . getOwnPropertyNames , BE = Object . getOwnPropertyDescriptor ; var Xw = e => Ed ( e , "__esModule" , { value : ! 0 } ) ; var WE = ( e , t ) => ( ) => ( t || ( t = { exports : { } } , e ( t . exports , t ) ) , t . exports ) , cc = ( e , t ) => { Xw ( e ) ; for ( var n in t ) Ed ( e , n , { get : t [ n ] , enumerable : ! 0 } ) } , VE = ( e , t , n ) => { if ( Xw ( e ) , t && typeof t == "object" || typeof t == "function" ) for ( let a of zE ( t ) ) ! LE . call ( e , a ) && a !== "default" && Ed ( e , a , { get : ( ) => t [ a ] , enumerable : ! ( n = BE ( t , a ) ) || n . enumerable } ) ; return e } , UE = e => e && e . _ _esModule ? e : VE ( Ed ( e != null ? PE ( OE ( e ) ) : { } , "default" , { value : e , enumerable : ! 0 } ) , e ) ; var hC = WE ( ( hse , dC ) => { cc ( hse , { isNodejs : ( ) => mse } ) ; function mse ( ) { return typeof global == "object" && ! 0 && typeof dC != "undefined" && typeof process != "undefined" && ! ! process . version } } ) ; var Rse = { } ; cc ( Rse , { AgeGenderNet : ( ) => jp , BoundingBox : ( ) => ao , Box : ( ) => lt , ComposableTask : ( ) => ia , ComputeAllFaceDescriptorsTask : ( ) => Or , ComputeFaceDescriptorsTaskBase : ( ) => ed , ComputeSingleFaceDescriptorTask : ( ) => Lr , DetectAllFaceLandmarksTask : ( ) => nd , DetectAllFacesTask : ( ) => Gu , DetectFaceLandmarksTaskBase : ( ) => td , DetectFacesTaskBase : ( ) => rd , DetectSingleFaceLandmarksTask : ( ) => ad , DetectSingleFaceTask : ( ) => sd , Dimensions : ( ) => un , FACE _EXPRESSION _LABELS : ( ) => Wf , FaceDetection : ( ) => bt , FaceDetectionNet : ( ) => Aw , FaceExpressionNet : ( ) => Gp , FaceExpressions : ( ) => Mr , FaceLandmark68Net : ( ) => po , FaceLandmark68TinyNet : ( ) => Kp , FaceLandmarkNet : ( ) => Sw , FaceLandmarks : ( ) => Gn , FaceLandmarks5 : ( ) => dw , FaceLandmarks68 : ( ) => so , FaceMatch : ( ) => Au , FaceMatcher : ( ) => od , FaceRecognitionNet : ( ) => ho , Gender : ( ) => dr , LabeledBox : ( ) => Fu , LabeledFaceDescriptors : ( ) => ur , NetInput : ( ) => pr , NeuralNetwork : ( ) => tn , ObjectDetection : ( ) => Dr , Point : ( ) => De , PredictedBox : ( ) => hw , Rect : ( ) => ro , SsdMobilenetv1 : ( ) => Ns , SsdMobilenetv1Options : ( ) => sa , TinyFaceDetector : ( ) => yo , TinyFaceDetectorOptions : ( ) => Qp , TinyYolov2 : ( ) => fo , TinyYolov2Options : ( ) => Ua , allFaces : ( ) => x _ , allFacesSsdMobilenetv1 : ( ) => Ow , allFacesTinyYolov2 : ( ) => b _ , awaitMediaLoaded : ( ) => Cf , bufferToImage : ( ) => _f , computeFaceDescriptor : ( ) => r _ , createCanvas : ( ) => io , createCanvasFromMedia : ( ) => Du , createFaceDetectionNet : ( ) => VC , createFaceRecognitionNet : ( ) => DC , createSsdMobilenetv1 : ( ) => Ew , createTinyFaceDetector : ( ) => v _ , createTinyYolov2 : ( ) => JC , detectAllFaces : ( ) => id , detectFaceLandmarks : ( ) => Dw , detectFaceLandmarksTiny : ( ) => a _ , detectLandmarks : ( ) => g _ , detectSingleFace : ( ) => y _ , draw : ( ) => Uf , env : ( ) => st , euclideanDistance : ( ) => qf , extendWithAge : ( ) => Jp , extendWithFaceDescriptor : ( ) => Yp , extendWithFaceDetection : ( ) => bs , extendWithFaceExpressions : ( ) => Hp , extendWithFaceLandmarks : ( ) => co , extendWithGender : ( ) => Zp , extractFaceTensors : ( ) => lo , extractFaces : ( ) => oo , fetchImage : ( ) => mC , fetchJson : ( ) => Ff , fetchNetWeights : ( ) => fC , fetchOrThrow : ( ) => ks , getContext2dOrThrow : ( ) => bn , getMediaDimensions : ( ) => ws , imageTensorToCanvas : ( ) => Ef , imageToSquare : ( ) => Af , inverseSigmoid : ( ) => pC , iou : ( ) => wf , isMediaElement : ( ) => zp , isMediaLoaded : ( ) => $u , isWithAge : ( ) => MC , isWithFaceDetection : ( ) => Wa , isWithFaceExpressions : ( ) => Vf , isWithFaceLandmarks : ( ) => Is , isWithGender : ( ) => RC , loadAgeGenderModel : ( ) => h _ , loadFaceDetectionModel : ( ) => m _ , loadFaceExpressionModel : ( ) => d _ , loadFaceLandmarkModel : ( ) => u _ , loadFaceLandmarkTinyModel : ( ) => c _ , loadFaceRecognitionModel : ( ) => p _ , loadSsdMobilenetv1Model : ( ) => Mw , loadTinyFaceDetectorModel : ( ) => o _ , loadTinyYolov2Model : ( ) => l _ , loadWeightMap : ( ) => Df , locateFaces : ( ) => f _ , matchDimensions : ( ) => gC , minBbox : ( ) => kf , nets : ( ) => et , nonMaxSuppression : ( ) => If , normalize : ( ) => ka , padToSquare : ( ) => Nf , predictAgeAndGender : ( ) => i _ , recognizeFaceExpressions : ( ) => s _ , resizeResults : ( ) => Lw , resolveInput : ( ) => xs , shuffleArray : ( ) => cC , sigmoid : ( ) => Eu , ssdMobilenetv1 : ( ) => $w , tf : ( ) => Ad , tinyFaceDetector : ( ) => t _ , tinyYolov2 : ( ) => n _ , toNetInput : ( ) => yt , utils : ( ) => bf , validateConfig : ( ) => jf , version : ( ) => w _ } ) ; var Ad = { } ; cc ( Ad , { Abs : ( ) => Lo , Acos : ( ) => zo , Acosh : ( ) => Bo , AdadeltaOptimizer : ( ) => nm , AdagradOptimizer : ( ) => am , AdamOptimizer : ( ) => rm , AdamaxOptimizer : ( ) => sm , Add : ( ) => Hr , AddN : ( ) => Ms , All : ( ) => Od , Any : ( ) => Ld , ArgMax : ( ) => Rs , ArgMin : ( ) => fc , Asin : ( ) => Wo , Asinh : ( ) => Vo , Atan : ( ) => Uo , Atan2 : ( ) => Ho , Atanh : ( ) => Go , AvgPool : ( ) => Ps , AvgPool3D : ( ) => gc , AvgPool3DGrad : ( ) => Bd , AvgPoolGrad : ( ) => zd , BackendWasm : ( ) => lC , BatchMatMul : ( ) => Os , BatchToSpaceND : ( ) => yc , Bincount : (
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` )),l.join( `
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` ;for(let f=2;f<l;f++)m+= `
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` ;return d[d.length-1]=" "+d[d.length-1]+"]"+(s?"":m),d}function Oc(e){let t=[];for(let n=0;n<e.length;n+=2)t.push([e[n],e[n+1]]);return t}var zt=class{constructor(e,t,n){if(this.dtype=t,this.shape=e.slice(),this.size=Lt(e),n!=null){let a=n.length;A(a===this.size,()=> ` Length of values '${a}' 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||e0(t,this.size),this.strides=Po(e)}set(e,...t){t.length===0&&(t=[0]),A(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 a of e){if(a<0||a>=this.shape[t]){let r= ` Requested out of range element at $ { e } . Buffer shape = $ { this . shape } ` ;throw new Error(r)}t++}let n=e[e.length-1];for(let a=0;a<e.length-1;++a)n+=this.strides[a]*e[a];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 ja().makeTensor(this.values,this.shape,this.dtype)}},ja=null,Bl=null,GA=null;function HA(e){ja=e}function jA(e){Bl=e}function qA(e){GA=e}var z=class{constructor(e,t,n,a){this.kept=!1,this.isDisposedInternal=!1,this.shape=e.slice(),this.dtype=t||"float32",this.size=Lt(e),this.strides=Po(e),this.dataId=n,this.id=a,this.rankType=this.rank<5?this.rank.toString():"higher"}get rank(){return this.shape.length}async buffer(){let e=await this.data();return Bl.buffer(this.shape,this.dtype,e)}bufferSync(){return Bl.buffer(this.shape,this.dtype,this.dataSync())}async array(){let e=await this.data();return Oo(this.shape,e)}arraySync(){return Oo(this.shape,this.dataSync())}async data(){this.throwIfDisposed();let e=ja().read(this.dataId);if(this.dtype==="string"){let t=await e;try{return t.map(n=>gh(n))}catch(n){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return e}dataSync(){this.throwIfDisposed();let e=ja().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>gh(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();let e=await ja().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(ja().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return Bl.print(this,e)}clone(){return this.throwIfDisposed(),Bl.clone(this)}toString(e=!1){let t=this.dataSync();return UA(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),Bl.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),ja().makeVariable(this,e,t,n)}};Object.defineProperty(z,Symbol.hasInstance,{value:e=>!!e&&e.data!=null&&e.dataSync!=null&&e.throwIfDisposed!=null});var Xr=class extends z{constructor(e,t,n,a){super(e.shape,e.dtype,e.dataId,a);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(!yr(e.shape,this.shape))throw new Error( ` shape of the new value ( $ { e . shape } ) and previous value ( $ { this . shape } ) must match ` );ja().disposeTensor(this),this.dataId=e.dataId,ja().incRef(this,null)}dispose(){ja().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(Xr,Symbol.hasInstance,{value:e=>e instanceof z&&e.assign!=null&&e.assign instanceof Function});var Sa={};Oe(Sa,{assertTypesMatch:()=>b0,getTensorsInCont
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Actual : $ { r } .
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Expected : $ { s } . ` )}}function u $ (e,t){e().then(()=>t.fail(),()=>t())}function c $ (e,t){let n=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return Ur(e)||Ur(e[0])||Ur(t)||Ur(t[0])?Ry(e,n,(a,r)=>a==r):Ry(e,t,(a,r)=>Py(a,r,0))}function p $ (e,t,n){if(n==null&&(n=My()),!Py(e,t,n))throw new Error( ` Numbers differ : actual === $ { e } , expected === $ { t } ` )}function Py(e,t,n){return!isFinite(e)&&!isFinite(t)?!0:!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function d $ (e,t,n){for(let a=0;a<e.length;a++)if(e[a]<t||e[a]>n)throw new Error( ` Value out of range : $ { e [ a ] } low : $ { t } , high : $ { n } ` )}function h $ (e,t){expect(new Float32Array(e)).toEqual(new Float32Array(t))}function r1(e){for(let t=0;t<e.length;t++){let n=e[t];Array.isArray(n)?r1(n):e[t]=Mc(n)}return e}var s1="2.8.5";function f $ (){te().set("PROD",!0)}function g $ (){te().set("DEBUG",!0)}function y $ (){te().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function Rt(e){te().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(e+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}qA(Rt);function b $ (){P.disposeVariables()}function ts(){return P}function Nh(){return P.memory()}function x $ (e){return P.profile(e)}function D(e,t){return P.tidy(e,t)}function Fe(e){hy(e).forEach(t=>t.dispose())}function Kt(e){return P.keep(e)}function v $ (e){return P.time(e)}function w $ (e){return P.setBackend(e)}function k $ (){return P.ready()}function I $ (){return P.backendName}function N $ (e){P.removeBackend(e)}function T $ (e){return P.findBackend(e)}function S $ (e){return P.findBackendFactory(e)}function Th(e,t,n=1){return P.registerBackend(e,t,n)}function i1(){return P.backend}function C $ (e,t){te().setPlatform(e,t)}function _ $ (e,t){let n=_(e,"a","add"),a=_(t,"b","add");[n,a]=Tt(n,a);let r={a:n,b:a};return P.runKernel(Hr,r)}var Z=R({add_:_ $ });function E $ (e,t){let n=_(e,"a","floorDiv"),a=_(t,"b","floorDiv");[n,a]=Tt(n,a);let r={a:n,b:a};return P.runKernel(qs,r)}var Sh=R({floorDiv_:E $ });function A $ (e,t){let n=_(e,"a","div"),a=_(t,"b","div");if([n,a]=Tt(n,a),n.dtype==="int32"&&a.dtype==="int32")return Sh(n,a);let r={a:n,b:a},s={};return P.runKernel(Gs,r,s)}var we=R({div_:A $ });function F $ (e,t){let n=_(e,"a","mul"),a=_(t,"b","mul");[n,a]=Tt(n,a);let r={a:n,b:a};return P.runKernel(ri,r)}var L=R({mul_:F $ });function $ $ (e){let t=_(e,"x","abs");if(t.dtype==="complex64"){let n={x:t};return P.runKernel(bc,n)}else{let n={x:t};return P.runKernel(Lo,n)}}var Bt=R({abs_: $ $ });function D $ (e){let t={x:_(e,"x","acos")};return P.runKernel(zo,t)}var Oy=R({acos_:D $ });function M $ (e){let t={x:_(e,"x","acosh")};return P.runKernel(Bo,t)}var Ly=R({acosh_:M $ });function R $ (e){A(Array.isArray(e),()=>"The argument passed to tf.addN() must be a list of tensors"),A(e.length>=1,()=> ` Must pass at least one tensor to tf . addN ( ) , but got $ { e . length } ` );let t=e.map((r,s)=>_(r, ` tensors$ { s } ` ,"addN")),n=t[0];t.forEach(r=>{if(r.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(r=>{if(!yr(r.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let a=t;return P.runKernel(Ms,a)}var o1=R({addN_:R $ });function P $ (e,t=null,n=!1){let a={x:_(e,"x","all","bool")},r={axis:t,keepDims:n};return P.runKernel(Od,a,r)}var Ch=R({all_:P $ });function O $ (e,t=null,n=!1){let a={x:_(e,"x","any","bool")},r={axis:t,keepDims:n};return P.runKernel(Ld,a,r)}var Wc=R({any_:O $ });function L $ (e,t=0){let n={x:_(e,"x","argMax")},a={axis:t};return P.runKernel(Rs,n,a)}var Vc=R({argMax_:L $ });function z $ (e,t=0){let n={x:_(e,"x","argMin")},a={axis:t};return P.runKernel(fc,n,a)}var zy=R({argMin_:z $ });function B $ (e){let t={x:_(e,"x","asin")};return P.runKernel(Wo,t)}var By=R({asin_:B $ });function W $ (e){let t={x:_(e,"x","asinh")};return P.runKernel(Vo,t)}var Wy=R({asinh_:W $ });function V $ (e){let t={x:_(e,"x","atan")};return P.runKernel(Uo,t)}var Vy=R({atan_:V $ });function U $ (e,t){let n=_(e,"a","atan2"),a=_(t,"b","atan2");[n,a]=Tt(n,a);let r={a:n,b:a};return P.runKernel(Ho,r)}var Uy=R({atan2_:U $ });function G $ (e){let t=
with dtype $ { s . dtype } . ` )}),n.length===1)return Qr(n[0]);let a=n,r={axis:t};return P.runKernel(qo,a,r)}var Qe=R({concat_:eD});function tD(e){let t={x:_(e,"x","sigmoid")};return P.runKernel(gi,t)}var ma=R({sigmoid_:tD});function nD(e,t,n){let a=_(e,"x","slice","string_or_numeric");if(a.rank===0)throw new Error("Slicing scalar is not possible");let r={x:a},s={begin:t,size:n};return P.runKernel(_l,r,s)}var We=R({slice_:nD});function aD(e){let t={x:_(e,"x","tanh")};return P.runKernel(ki,t)}var ql=R({tanh_:aD});function rD(e,t,n,a,r,s){let i=_(e,"forgetBias","basicLSTMCell"),o=_(t,"lstmKernel","basicLSTMCell"),l=_(n,"lstmBias","basicLSTMCell"),c=_(a,"data","basicLSTMCell"),u=_(r,"c","basicLSTMCell"),p=_(s,"h","basicLSTMCell"),d=Qe([c,p],1),h=ze(d,o),m=Z(h,l),f=m.shape[0],g=m.shape[1]/4,y=[f,g],b=We(m,[0,0],y),v=We(m,[0,g],y),x=We(m,[0,g*2],y),N=We(m,[0,g*3],y),T=Z(L(ma(b),ql(v)),L(u,ma(Z(i,x)))),C=L(ql(T),ma(N));return[T,C]}var sD=R({basicLSTMCell_:rD});function iD(e,t,n){let a=_(e,"x","batchToSpaceND"),r=t.reduce((o,l)=>o*l);A(a.rank>=1+t.length,()=> ` input rank is $ { a . rank } but should be > than blockShape . length $ { t . length } ` ),A(n.length===t.length,()=> ` crops . length is $ { n . length } but should be equal to blockShape . length $ { t . length } ` ),A(a.shape[0]%r==0,()=> ` input tensor batch is $ { a . shape [ 0 ] } but is not divisible by the product of the elements of blockShape $ { t . join ( " * " ) } === $ { r } ` );let s={x:a},i={blockShape:t,crops:n};return P.runKernel(yc,s,i)}var Gc=R({batchToSpaceND_:iD});function oD(e){let t;return e.rank===0||e.rank===1?t=q(e,[1,1,1,e.size]):e.rank===2?t=q(e,[1,1,e.shape[0],e.shape[1]]):e.rank===3?t=q(e,[1,e.shape[0],e.shape[1],e.shape[2]]):t=e,t}function lD(e,t,n,a,r,s){s==null&&(s=.001);let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),c;r!=null&&(c=_(r,"scale","batchNorm"));let u;a!=null&&(u=_(a,"offset","batchNorm")),A(o.rank===l.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),A(u==null||o.rank===u.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),A(c==null||o.rank===c.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let p={x:oD(i),scale:c,offset:u,mean:o,variance:l},d={varianceEpsilon:s},h=P.runKernel(Ks,p,d);return q(h,i.shape)}var xr=R({batchNorm_:lD});function uD(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),c;r!=null&&(c=_(r,"scale","batchNorm"));let u;return a!=null&&(u=_(a,"offset","batchNorm")),A(i.rank===2,()=> ` Error in batchNorm2D : x must be rank 2 but got rank $ { i . rank } . ` ),A(o.rank===2||o.rank===1,()=> ` Error in batchNorm2D : mean must be rank 2 or rank 1 but got rank $ { o . rank } . ` ),A(l.rank===2||l.rank===1,()=> ` Error in batchNorm2D : variance must be rank 2 or rank 1 but got rank $ { l . rank } . ` ),c!=null&&A(c.rank===2||c.rank===1,()=> ` Error in batchNorm2D : scale must be rank 2 or rank 1 but got rank $ { c . rank } . ` ),u!=null&&A(u.rank===2||u.rank===1,()=> ` Error in batchNorm2D : offset must be rank 2 or rank 1 but got rank $ { u . rank } . ` ),xr(i,o,l,u,c,s)}var p1=R({batchNorm2d_:uD});function cD(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),c;r!=null&&(c=_(r,"scale","batchNorm"));let u;return a!=null&&(u=_(a,"offset","batchNorm")),A(i.rank===3,()=> ` Error in batchNorm3D : x must be rank 3 but got rank $ { i . rank } . ` ),A(o.rank===3||o.rank===1,()=> ` Error in batchNorm3D : mean must be rank 3 or rank 1 but got rank $ { o . rank } . ` ),A(l.rank===3||l.rank===1,()=> ` Error in batchNorm3D : variance must be rank 3 or rank 1 but got rank $ { l . rank } . ` ),c!=null&&A(c.rank===3||c.rank===1,()=> ` Error in batchNorm3D : scale must be rank 3 or rank 1 but got rank $ { c . rank } . ` ),u!=null&&A(u.rank===3||u.rank===1,()=> ` Error in batchNorm3D : offset must be rank 3 or rank 1 but got rank $ { u . rank } . ` ),xr(i,o,l,u,c,s)}var d1=R({batchNorm3d_:cD});function pD(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),c;r!=null&&(c=_(r,"scale","batchNorm"));let u;return a!=nul
2021-01-12 16:01:34 +01:00
$ { r } and $ { t } for depthToSpace with input shape
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$ { a . shape } ` ),A(s*t>=0,()=> ` Negative dimension size caused by overflow when multiplying
2021-01-12 16:01:34 +01:00
$ { s } and $ { t } for depthToSpace with input shape
2021-01-20 14:15:38 +01:00
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rank $ { s . rank } . ` ),A(jt(t),()=> ` Error in localResponseNormalization : depthRadius must be an integer but got depthRadius $ { t } . ` );let i=s,o=!1;s.rank===3&&(o=!0,i=q(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let l={x:i},c={depthRadius:t,bias:n,alpha:a,beta:r},u=P.runKernel(Nc,l,c);return o?q(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var ab=R({localResponseNormalization_:oM});function lM(e){let t={x:_(e,"x","log")};return P.runKernel(Js,t)}var Dn=R({log_:lM});function uM(e){let t={x:_(e,"x","log1p")};return P.runKernel(dl,t)}var Mh=R({log1p_:uM});function cM(e){return A(Gr(e),()=>"The f passed in grad(f) must be a function"),(t,n)=>{let a=_(t,"x","tf.grad","string_or_numeric"),r=n!=null?_(n,"dy","tf.grad"):null;return P.tidy(()=>{let{value:s,grads:i}=P.gradients(()=>e(a),[a],r);return r!=null&&rt(s.shape,r.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),Rh(i),i[0]})}}function pM(e){return A(Gr(e),()=>"The f passed in grads(f) must be a function"),(t,n)=>{A(Array.isArray(t),()=>"The args passed in grads(f)(args) must be an array of ` Tensor ` s or ` TensorLike ` s");let a=zc(t,"args","tf.grads","string_or_numeric"),r=n!=null?_(n,"dy","tf.grads"):null;return P.tidy(()=>{let{value:s,grads:i}=P.gradients(()=>e(...a),a,r);return r!=null&&rt(s.shape,r.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Rh(i),i})}}function dM(e){return A(Gr(e),()=>"The f passed in valueAndGrad(f) must be a function"),(t,n)=>{A(t instanceof z,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),A(n==null||n instanceof z,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:a,value:r}=P.gradients(()=>e(t),[t],n);return Rh(a),{grad:a[0],value:r}}}function hM(e){return A(Gr(e),()=>"The f passed in valueAndGrads(f) must be a function"),(t,n)=>{A(Array.isArray(t)&&t.every(r=>r instanceof z),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),A(n==null||n instanceof z,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let a=P.gradients(()=>e(...t),t,n);return n!=null&&rt(a.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Rh(a.grads),a}}function S1(e,t){A(Gr(e),()=>"The f passed in variableGrads(f) must be a function"),A(t==null||Array.isArray(t)&&t.every(c=>c instanceof Xr),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let n=t!=null;if(!n){t=[];for(let c in P.registeredVariables)t.push(P.registeredVariables[c])}let a=n?t.filter(c=>!c.trainable):null,r=t.length;t=t.filter(c=>c.trainable),A(t.length>0,()=> ` variableGrads ( ) expects at least one of the input variables to be trainable , but none of the $ { r } variables is trainable . ` );let s=!0,{value:i,grads:o}=P.gradients(e,t,null,s);A(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()."),A(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])}),a!=null&&a.forEach(c=>l[c.name]=null),{value:i,grads:l}}function Ya(e){return P.customGrad(e)}function Rh(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
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$ { s } ) . ` );if(n<a)throw new Error( ` batchDims ( $ { a } ) must be less than or equal to axis ( $ { n } ) . ` );for(let p=0;p<a;++p)if(e.shape[p]!==t.shape[p])throw new Error( ` x . shape [ $ { p } ] : $ { e . shape [ p ] } should be equal to indices . shape [ $ { p } ] : $ { t . shape [ p ] } . ` );let i=e.shape[n],o=[],l=1,c=1,u=1;for(let p=0;p<a;++p)o.push(e.shape[p]),l*=e.shape[p];for(let p=a;p<n;p++)o.push(e.shape[p]),c*=e.shape[p];for(let p=a;p<r;p++)o.push(t.shape[p]);for(let p=n+1;p<s;p++)o.push(e.shape[p]),u*=e.shape[p];return{batchSize:l,sliceSize:u,outerSize:c,dimSize:i,outputShape:o}}function NL(e,t,n){if(t==="complex64"){if(e.dtype==="complex64")return e.clone();let a=xt(e.shape),r=pe(e,"float32"),s=n.complex(r,a);return a.dispose(),r.dispose(),s}if(!a0(e.dtype,t))return P.makeTensorFromDataId(e.dataId,e.shape,t);if(e.dtype==="complex64"){let a=n.real(e),r=pe(a,t);return a.dispose(),r}if(t==="int32")return n.int(e);if(t==="bool"){let a=he(0,e.dtype),r=n.notEqual(e,a);return a.dispose(),r}else throw new Error( ` Error in Cast : failed to cast $ { e . dtype } to $ { t } ` )}function TL(e,t){return P.makeTensorFromDataId(e.dataId,t,e.dtype)}function SL(e){try{return e.map(t=>gh(t))}catch(t){throw new Error( ` Failed to decode encoded string bytes into utf - 8 , error : $ { t } ` )}}function CL(e){return e.map(t=>Mc(t))}var er={};Oe(er,{nonMaxSuppressionV3Impl:()=>uk,nonMaxSuppressionV4Impl:()=>ck,nonMaxSuppressionV5Impl:()=>pk,whereImpl:()=>L1});var vk={kernelName:Lo,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>L(e,tu(pe(n,"float32"),-1))}}},FL={kernelName:zo,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=ct(pe(n,"float32")),r=an(ge(he(1),a));return St(we(e,r))}}}}, $ L={kernelName:Bo,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=an(ge(ct(pe(n,"float32")),1));return we(e,a)}}}},DL={kernelName:Hr,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=wt(n.shape,a.shape);return{a:()=>{let s=e,i=Wt(n.shape,r);return i.length>0&&(s=Ce(s,i)),q(s,n.shape)},b:()=>{let s=e,i=Wt(a.shape,r);return i.length>0&&(s=Ce(s,i)),q(s,a.shape)}}}},ML={kernelName:Ms,saveAllInputs:!0,gradFunc:(e,t)=>{let n={};return t.forEach((a,r)=>{n[r]=()=>e.clone()}),n}},RL={kernelName:Rs,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>Ge(n)}}},PL={kernelName:fc,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>Ge(n)}}},OL={kernelName:Wo,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>we(e,an(ge(he(1),ct(pe(n,"float32")))))}}},LL={kernelName:Vo,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=an(Z(he(1),ct(pe(n,"float32"))));return we(e,a)}}}},zL={kernelName:Ho,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=wt(n.shape,a.shape);return{a:()=>{let s=Z(ct(n),ct(a)),i=L(e,we(a,s)),o=Wt(n.shape,r);return o.length>0&&(i=Ce(i,o)),q(i,n.shape)},b:()=>{let s=Z(ct(n),ct(a)),i=St(L(e,we(n,s))),o=Wt(a.shape,r);return o.length>0&&(i=Ce(i,o)),q(i,a.shape)}}}},BL={kernelName:Uo,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>we(e,Z(ct(pe(n,"float32")),1))}}},WL={kernelName:Go,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>we(e,ge(he(1),ct(pe(n,"float32"))))}}};function VL(e,t,n,a,r=[1,1,1],s,i){let o=_(e,"dy","avgPool3dGrad"),l=_(t,"input","avgPool3dGrad"),c=o,u=l,p=!1;l.rank===4&&(p=!0,c=q(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]]),u=q(l,[1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]])),A(c.rank===5,()=> ` Error in avgPool3dGrad : dy must be rank 5 but got rank $ { c . rank } . ` ),A(u.rank===5,()=> ` Error in avgPool3dGrad : input must be rank 5 but got rank $ { u . rank } . ` ),A( $ n(a,r),()=> ` Error in avgPool3dGrad : Either strides or dilations must be 1. Got strides $ { a } and dilations '${r}' ` ),i!=null&&A(jt(s),()=> ` Error in avgPool3dGrad : pad must be an integer when using , dimRoundingMode $ { i } but got pad $ { s } . ` );let d={dy:c,input:u},h={filterSize:n,strides:a,dilations:r,pad:s,dimRoundingMode:i},m=P.runKernel(Bd,d,h);return p?q(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var UL=R({avgPool3dGrad_:VL}),GL={kernelName:gc,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{filterSize:r,strides:s,dilations:i,pad:o,dimRoundingMode:l}
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1. The $ { a } is defined in Python , in which case it needs to be ported to TensorFlow . js or your JavaScript code .
2. The custom $ { a } 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 B( ` $ { a } : Improper config format : $ { JSON . stringify ( s ) } .
2021-01-20 14:15:38 +01:00
'className' and 'config' must set . ` );let i=s.className,o,l;if(i in n?[o,l]=n[i]:i in ga?[o,l]=ga.className:i in t&&([o,l]=t[i]),o==null)throw new B( ` Unknown $ { a } : $ { i } . This may be due to one of the following reasons :
2021-01-12 16:01:34 +01:00
1. The $ { a } is defined in Python , in which case it needs to be ported to TensorFlow . js or your JavaScript code .
2021-01-20 14:15:38 +01:00
2. The custom $ { a } is defined in JavaScript , but is not registered properly with tf . serialization . registerClass ( ) . ` );if(l!=null){let c={};for(let h of Object.keys(ga))c[h]=ga[h];for(let h of Object.keys(n))c[h]=n[h];let u=s.config;u.customObjects=c;let p=Object.assign({},ga);for(let h of Object.keys(n))ga[h]=n[h];Cb(s.config);let d=l(o,s.config,n,r);return ga=Object.assign({},p),d}else{let c=Object.assign({},ga);for(let p of Object.keys(n))ga[p]=n[p];let u=new o(s.config);return ga=Object.assign({},c),u}}}function Oz(e,t){return e<t?-1:e>t?1:0}function um(e,t){return-1*Oz(e,t)}function os(e){if(e==null)return e;let t=[];for(let n of e)t.indexOf(n)===-1&&t.push(n);return t}function Lz(e){if(e==null)throw new B( ` Invalid value in obj : $ { JSON . stringify ( e ) } ` );for(let t in e)if(e.hasOwnProperty(t))return!1;return!0}function Wi(e,t,n){if(n!=null&&e.indexOf(n)<0)throw new B( ` $ { n } is not a valid $ { t } . Valid values are $ { e } or null / undefined . ` )}function _b(e,t,n=0,a=Infinity){return tr(n>=0),tr(a>=n),Array.isArray(e)&&e.length>=n&&e.length<=a&&e.every(r=>typeof r===t)}function Yt(e,t){Array.isArray(e)?(k.assert(e.length>0,()=> ` $ { t } is unexpectedly an empty array . ` ),e.forEach((n,a)=>Yt(n, ` element $ { a + 1 } of $ { t } ` ))):k.assert(Number.isInteger(e)&&e>0,()=> ` Expected $ { t } to be a positive integer , but got $ { Fk ( e ) } . ` )}function Fk(e){return e===null?"null":Array.isArray(e)?"["+e.map(t=>Fk(t)).join(",")+"]":typeof e=="string"? ` "${e}" ` : ` $ { e } ` }function zz(e,t){let n=k.now(),a;return(...r)=>{let s=k.now();return s-n<t||(n=s,a=e(...r)),a}}function $ k(e){return e==="relu"?"relu":e==="linear"?"linear":e==="elu"?"elu":null}function Eb(e,t){return D(()=>an(Ce(L(e,e),t,!0)))}var sp=class extends re.Serializable{getConfig(){return{}}},Ab=class extends sp{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 D(()=>{let t=Eb(e,this.axis),n=Xt(t,0,this.maxValue);return L(e,we(n,Z(Vt(),t)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};Ab.className="MaxNorm";re.registerClass(Ab);var Fb=class extends sp{constructor(e){super();this.defaultAxis=0,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return D(()=>we(e,Z(Vt(),Eb(e,this.axis))))}getConfig(){return{axis:this.axis}}};Fb.className="UnitNorm";re.registerClass(Fb);var $ b=class extends sp{apply(e){return Ye(e)}}; $ b.className="NonNeg";re.registerClass( $ b);var Db=class extends sp{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 D(()=>{let t=Eb(e,this.axis),n=Z(L(this.rate,Xt(t,this.minValue,this.maxValue)),L(1-this.rate,t));return L(e,we(n,Z(Vt(),t)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};Db.className="MinMaxNorm";re.registerClass(Db);var Dk={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function Ut(e){return Sb(e)}function Mk(e,t={}){return rp(e,re.SerializationMap.getMap().classNameMap,t,"constraint")}function Gt(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in Dk?Dk[e]:e,config:{}};return Mk(t)}else return e instanceof sp?e:Mk(e)}function $ z(e){return new Ab(e)}function Dz(e){return new Fb(e)}function Mz(){return new $ b}function Rz(e){return new Db(e)}var Rk={};Oe(Rk,{constant:()=>Vz,glorotNormal:()=>Xz,glorotUniform:()=>Kz,heNormal:()=>Yz,heUniform:()=>Jz,identity:()=>jz,leCunNormal:()=>Zz,leCunUniform:()=>Qz,ones:()=>Wz,orthogonal:()=>eB,randomNormal:()=>Gz,randomUniform:()=>Uz,truncatedNormal:()=>Hz,varianceScaling:()=>qz,zeros:()=>Bz});var tB=["channelsFirst","channelsLast"],nB=["nearest","bilinear"],aB=["valid","same","causal"],rB=["max","avg"],sB=["sum","mul","concat","ave"],au=new Map;function Mt(e){Wi(tB,"DataFormat",e)}function iB(
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),xa(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,Kt(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,a)=>this.write(n,t[a]))}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 a=0;a<this.size();a++)e.push(a)}if(e.length===0)return Xn([],[0].concat(this.elementShape));let n=this.readMany(e);return xa(this.elementShape,n[0].shape,"TensorArray shape mismatch: "),Dt(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 Xn([],[0].concat(this.elementShape));let t=[];for(let a=0;a<this.size();a++)t.push(a);let n=this.readMany(t);return xa(this.elementShape,n[0].shape, ` TensorArray shape mismatch : tensor array shape ( $ { this . elementShape } ) vs first tensor shape ( $ { n [ 0 ] . shape } ) ` ),Qe(n,0)}scatter(e,t){if(t.dtype!==this.dtype)throw new Error( ` TensorArray dtype is $ { this . dtype } but tensor has dtype $ { t . dtype } ` );if(e.length!==t.shape[0])throw new Error( ` Expected len ( indices ) == tensor . shape [ 0 ] , but saw : $ { e . length } vs . $ { t . shape [ 0 ] } ` );let n=Math.max(...e);if(!this.dynamicSize&&n>=this.maxSize)throw new Error( ` Max index must be < array size ( $ { n } vs . $ { this . maxSize } ) ` );this.writeMany(e,ht(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,a=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 r=n===0?0:t.size/n,s=[];D(()=>{t=q(t,[1,n,r]);for(let o=0;o<e.length;++o){let l=o===0?0:a[o-1],c=[0,l,0],u=[1,e[o],r];s[o]=q(We(t,c,u),this.elementShape)}return s});let i=[];for(let o=0;o<e.length;o++)i[o]=o;this.writeMany(i,s)}},kp=class{constructor(e,t,n,a=-1){this.tensors=e,this.elementShape=t,this.elementDtype=n,e!=null&&e.forEach(r=>{if(n!==r.dtype)throw new Error( ` Invalid data types ; op elements $ { n } , but list elements $ { r . dtype } ` );xa(t,r.shape,"TensorList shape mismatch: "),Kt(r)}),this.idTensor=he(0),this.maxNumElements=a,Kt(this.idTensor)}get id(){return this.idTensor.id}copy(){return new kp([...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 . ` );return xa(e,this.elementShape,"TensorList shape mismatch: "),D(()=>{let a=this.tensors.map(r=>q(r,e));return Dt(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=this.tensors.pop();return xa(n.shape,e,"TensorList shape mismatch: "),q(n,e)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { e . dtype } , but list elements $ { this . elementDtype } ` );if(xa(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Kt(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 . ` );return xa(this.tensors[e].shape,t,"TensorList shape mismatch: "),this.tensors[e]}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 . ` );xa(this.elementShape,t.shape,"TensorList shape mismatch: "),Kt(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 } ` );return xa(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size()),e.length===0?Xn([],[0].concat(this.elementShape)):D(()=>{let a=e.map(r=>q(this.tensors[r],n));return Dt(a,0)})}concat(e,t){if(!!e&&e!==this.elementDtype)throw new Error( ` TensorList dtype is $ { this . elementDtype } but concat requested dtype $ { e } ` );return xa(this.elementShape,t,"TensorList shape mismatch: "),this.size()===0?Xn([],[0].concat(this.elementShape)):D(()=>{let n=this.tensors.map(a=>q(a,t));return Qe(n,0)})}};function WV(e,t,n){let a=e.dtype;if(e.shape.length<1)throw new Error( ` Tensor must be at least a vector , but saw shape : $ { e . shape } ` );if(e.dtype!==n)throw new Error( ` Invalid data types ; op elements $ { e . dtype } , but list elements $ { n } ` );let r=e.shape.slice(1);xa(r,t
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tensor . shape [ 0 ] , but sum of lengths is
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$ { a } , and tensor ' s shape is : $ { e . shape } ` );let s=a===0?0:e.size/a,i=D(()=>{let l=[];e=q(e,[1,a,s]);for(let c=0;c<t.length;++c){let u=c===0?0:r[c-1],p=[0,u,0],d=[1,t[c],s];l[c]=q(We(e,p,d),n)}return e.dispose(),l}),o=new kp([],n,e.dtype,t.length);for(let l=0;l<i.length;l++)o.setItem(l,i[l]);return o}var HV=async(e,t,n)=>{switch(e.op){case"If":case"StatelessIf":{let a=I("thenBranch",e,t,n),r=I("elseBranch",e,t,n),s=I("cond",e,t,n),i=I("args",e,t,n);return(await s.data())[0]?n.functionMap[a].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap):n.functionMap[r].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{let a=I("body",e,t,n),r=I("cond",e,t,n),s=I("args",e,t,n),i=await n.functionMap[r].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[a].executeFunctionAsync(c,n.tensorArrayMap,n.tensorListMap);let p=c.map(h=>h.id);u.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&p.indexOf(h.id)===-1&&h.dispose()});let d=await n.functionMap[r].executeFunctionAsync(c,n.tensorArrayMap,n.tensorListMap);l=await d[0].data(),d.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&p.indexOf(h.id)===-1&&h.dispose()})}return c}case"LoopCond":{let a=I("pred",e,t,n);return[Er(a)]}case"Switch":{let a=I("pred",e,t,n),r=I("data",e,t,n);return r.kept||(r=Er(r)),(await a.data())[0]?[void 0,r]:[r,void 0]}case"Merge":{let a=e.inputNames.find(r=>Sn(r,t,n)!==void 0);if(a){let r=Sn(a,t,n);return[Er(r)]}return}case"Enter":{let a=I("frameName",e,t,n),r=I("tensor",e,t,n);return n.enterFrame(a),[Er(r)]}case"Exit":{let a=I("tensor",e,t,n);return n.exitFrame(),[Er(a)]}case"NextIteration":{let a=I("tensor",e,t,n);return n.nextIteration(),[Er(a)]}case"TensorArrayV3":{let a=I("size",e,t,n),r=I("dtype",e,t,n),s=I("elementShape",e,t,n),i=I("dynamicSize",e,t,n),o=I("clearAfterRead",e,t,n),l=I("identicalElementShapes",e,t,n),c=I("name",e,t,n),u=new BV(c,r,a,s,l,i,o);return n.addTensorArray(u),[u.idTensor,he(1)]}case"TensorArrayWriteV3":{let a=I("tensorArrayId",e,t,n),r=I("index",e,t,n),s=I("tensor",e,t,n),i=n.getTensorArray(a.id);return i.write(r,s),[i.idTensor]}case"TensorArrayReadV3":{let a=I("tensorArrayId",e,t,n),r=I("index",e,t,n);return[n.getTensorArray(a.id).read(r)]}case"TensorArrayGatherV3":{let a=I("tensorArrayId",e,t,n),r=I("indices",e,t,n),s=I("dtype",e,t,n);return[n.getTensorArray(a.id).gather(r,s)]}case"TensorArrayScatterV3":{let a=I("tensorArrayId",e,t,n),r=I("indices",e,t,n),s=I("tensor",e,t,n),i=n.getTensorArray(a.id);return i.scatter(r,s),[i.idTensor]}case"TensorArrayConcatV3":{let a=I("tensorArrayId",e,t,n),r=n.getTensorArray(a.id),s=I("dtype",e,t,n);return[r.concat(s)]}case"TensorArraySplitV3":{let a=I("tensorArrayId",e,t,n),r=I("tensor",e,t,n),s=I("lengths",e,t,n),i=n.getTensorArray(a.id);return i.split(s,r),[i.idTensor]}case"TensorArraySizeV3":{let a=I("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return[he(r.size(),"int32")]}case"TensorArrayCloseV3":{let a=I("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return r.clearAndClose(),[r.idTensor]}case"TensorListSetItem":{let a=I("tensorListId",e,t,n),r=I("index",e,t,n),s=I("tensor",e,t,n),i=n.getTensorList(a.id);return i.setItem(r,s),[i.idTensor]}case"TensorListGetItem":{let a=I("tensorListId",e,t,n),r=I("index",e,t,n),s=I("elementShape",e,t,n),i=I("elementDType",e,t,n);return[n.getTensorList(a.id).getItem(r,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let a=I("indices",e,t,n),r=I("tensor",e,t,n),s=I("elementShape",e,t,n),i=I("numElements",e,t,n),o=UV(r,a,s,i);return n.addTensorList(o),[o.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let a=I("elementShape",e,t,n),r=I("elementDType",e,t,n),s;e.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=I(s,e,t,n),o=VV(a,r,i);return n.addTensorList(o),[o.idTensor]}case"TensorListGather":{let a=I("tensorListId",e,t,n),r=I("indices",e,t,n),s=I("elementShape",e,t,n),i=I("elementDType",e,t,n);return[n.getTensorList(a.id).gather(r,i,s)]}cas
$ { e } ` );let a;return this.size===Infinity||this.size==null?a=this.size:t?a=Math.ceil(this.size/e):a=Math.floor(this.size/e),zn(async()=>(await n.iterator()).columnMajorBatch(e,t,jU),a)}concatenate(e){let t=this,n;return this.size===Infinity||e.size===Infinity?n=Infinity:this.size!=null&&e.size!=null?n=this.size+e.size:n=null,zn(async()=>(await t.iterator()).concatenate(await e.iterator()),n)}filter(e){let t=this,n;return this.size===Infinity?n=Infinity:n=null,zn(async()=>(await t.iterator()).filter(a=>D(()=>e(a))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){let t=this;return zn(async()=>(await t.iterator()).map(n=>D(()=>e(n))),this.size)}mapAsync(e){let t=this;return zn(async()=>(await t.iterator()).mapAsync(e),this.size)}prefetch(e){if(e==null)throw new RangeError(" ` Dataset . prefetch ( ) ` requires bufferSize to be specified.");let t=this;return zn(async()=>(await t.iterator()).prefetch(e),this.size)}repeat(e){let t=this,n;return this.size!=null&&e>0?n=this.size*e:e===0?n=0:this.size!=null&&(e===void 0||e<0)?n=Infinity:n=null,zn(async()=>{let a=Nv(async()=>({value:await t.iterator(),done:!1}));return MU(a.take(e))},n)}skip(e){let t=this,n;return this.size!=null&&e>=0&&this.size>=e?n=this.size-e:this.size!=null&&(this.size<e||e===void 0||e<0)?n=0:n=null,zn(async()=>(await t.iterator()).skip(e),n)}shuffle(e,t,n=!0){if(e==null||e<0)throw this.size==null?new RangeError(" ` Dataset . shuffle ( ) ` requires bufferSize to be specified."):new RangeError( ` \ ` Dataset.shuffle() \` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \` tf.Tensor \` s), consider setting bufferSize to the dataset size ( ${ this . size } elements) ` ) ; let a = this , r = NU . alea ( t || k . now ( ) . toString ( ) ) ; return zn ( async ( ) => { let s = r . int32 ( ) ; return n && ( s += r . int32 ( ) ) , ( await a . iterator ( ) ) . shuffle ( e , s . toString ( ) ) } , this . size ) } take ( e ) { let t = this , n ; return this . size != null && this . size > e ? n = e : this . size != null && this . size <= e ? n = this . size : n = null , zn ( async ( ) => ( await t . iterator ( ) ) . take ( e ) , n ) } async toArray ( ) { if ( this . size === Infinity ) throw new Error ( "Can not convert infinite data stream to array." ) ; return ( await this . iterator ( ) ) . toArray ( ) } async toArrayForTest ( ) { if ( this . size === Infinity ) throw new Error ( "Can not convert infinite data stream to array." ) ; return ( await this . iterator ( ) ) . toArrayForTest ( ) } } ; cu . MAX _BUFFER _SIZE = 1e4 ; function zn ( e , t = null ) { return new class extends cu { constructor ( ) { super ( ... arguments ) ; this . size = t } async iterator ( ) { return e ( ) } } } function yU ( e ) { return zn ( async ( ) => JN ( e ) , e . length ) } function bU ( e ) { if ( ! pu ( e ) ) throw new Error ( "The argument to zip() must be an object or array." ) ; let t ; if ( Array . isArray ( e ) ) for ( let n = 0 ; n < e . length ; n ++ ) t = t == null ? e [ n ] . size : Math . min ( t , e [ n ] . size ) ; else if ( e instanceof Object ) for ( let n in e ) t = t == null ? e [ n ] . size : Math . min ( t , e [ n ] . size ) ; return zn ( async ( ) => { let n = await XN ( e , a => { if ( a instanceof cu ) return { value : a . iterator ( ) , recurse : ! 1 } ; if ( pu ( a ) ) return { value : null , recurse : ! 0 } ; throw new Error ( "Leaves of the structure passed to zip() must be Datasets, not primitives." ) } ) ; return PU ( n , ms . SHORTEST ) } , t ) } function jU ( e ) { if ( e === null ) return null ; let t = e [ 0 ] ; return EU ( t ) ? { value : qU ( e ) , recurse : ! 1 } : { value : null , recurse : ! 0 } } function qU ( e ) { if ( e . length === 0 ) throw new Error ( "Can't make a batch of zero elements." ) ; return e [ 0 ] instanceof z ? Dt ( e ) : Xn ( e ) } var VN = class extends cu { constructor ( e ) { super ( ) ; this . input = e } async iterator ( ) { return ( await this . input . iterator ( ) ) . decodeUTF8 ( ) . split ( `
` ).map(e=>(e.endsWith(" \r ")&&(e=e.slice(0,-1)),e))}},jm='"',Ip=Symbol("out"),tT=Symbol("field"),qm=Symbol("quote"),Sv=Symbol("quoteafterquote"),nT=Symbol("quoteinquote"),UN=class extends cu{constructor(e,t){super();this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new VN(e),t||(t={}),this.hasHeader=t.hasHeader!==!1,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(k.assert(t.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&k.assert(e.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=e);let t=this.fullColumnNames.reduce((a,r)=>(a[r]=a[r]+1||1,a),{}),n=Object.keys(t).filter(a=>t[a]>1);if(k.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let a of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(a)===-1)throw new Error('The key "'+a+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let t=e.value;return this.parseRow(t,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map(t=>this.makeDataElement(t))}makeDataElement(e){let t=this.parseRow(e),n={},a={};for(let r=0;r<this.fullColumnNames.length;r++){let s=this.fullColumnNames[r],i=this.columnConfigs?this.columnConfigs[s]:null;if(!(this.configuredColumnsOnly&&!i)){let o=t[r],l=null;if(o==="")if(i&&i.default!==void 0)l=i.default;else{if(i&&(i.required||i.isLabel))throw new Error( ` Required column $ { s } is empty in this line : $ { e } ` );l=void 0}else{let c=Number(o);if(isNaN(c))i&&i.dtype==="bool"?l=this.getBoolean(o):l=o;else if(!i||!i.dtype)l=c;else switch(i.dtype){case"float32":l=c;break;case"int32":l=Math.floor(c);break;case"bool":l=this.getBoolean(o);break;default:l=c}}i&&i.isLabel?a[s]=l:n[s]=l}}return Object.keys(a).length===0?n:{xs:n,ys:a}}getBoolean(e){return e==="1"||e.toLowerCase()==="true"?1:0}parseRow(e,t=!0){let n=[],a=0,r=e.length,s=Ip;for(let i=0;i<r;i++)switch(s){case Ip:switch(e.charAt(i)){case jm:a=i+1,s=qm;break;case this.delimiter:if(a=i+1,this.delimiter===" "&&this.delimWhitespace)break;n.push(""),s=Ip;break;default:s=tT,a=i;break}break;case tT:switch(e.charAt(i)){case this.delimiter:n.push(e.substring(a,i)),s=Ip,a=i+1;break;default:}break;case qm:switch(e.charAt(i)){case jm:s=Sv;break;default:}break;case Sv:switch(e.charAt(i)){case this.delimiter:n.push(e.substring(a,i-1)),s=Ip,a=i+1;break;case jm:s=qm;break;default:s=nT;break}break;case nT:switch(e.charAt(i)){case jm:s=qm;break;default:}break;default:}if(s===Sv?n.push(e.substring(a,r-1)):n.push(e.substring(a)),t&&n.length!==this.fullColumnNames.length)throw new Error( ` Invalid row in csv file . Should have $ { this . fullColumnNames . length } elements in a row , but got $ { n } ` );return n}},aT=class extends Zt{constructor(e){super();this.microphoneConfig=e,this.isClosed=!1,this.fftSize=e.fftSize||1024;let t=Math.log2(this.fftSize);if(this.fftSize<0||t<4||t>14||!Number.isInteger(t))throw new Error( ` Invalid fftSi
2020-10-11 18:41:17 +02:00
=== === === === === === === === === =
2020-11-25 14:30:53 +01:00
Hi there \ u { 1 F44B } . Looks like you are running TensorFlow . js in Node . js . To speed things up dramatically , install our node backend , which binds to TensorFlow C ++ , by running npm i @ tensorflow / tfjs - node , or npm i @ tensorflow / tfjs - node - gpu if you have CUDA . Then call require ( '@tensorflow/tfjs-node' ) ; ( - gpu suffix for CUDA ) at the start of your program . Visit https : //github.com/tensorflow/tfjs-node for more details.
2021-01-20 14:15:38 +01:00
=== === === === === === === === === = ` ));let a={};return this.data.set(a,{values:e,dtype:n,refCount:1}),a}makeTensorInfo(e,t,n){let a;if(t==="string"&&n!=null&&n.length>0&&k.isString(n[0])){let r=n.map(s=>k.encodeString(s));a=this.write(r,e,t)}else a=this.write(n,e,t);return{dataId:a,shape:e,dtype:t}}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,a){this.data.set(e,{values:t,dtype:a,refCount:1})}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 a=this.readSync(n.real.dataId),r=this.readSync(n.imag.dataId);return E.mergeRealAndImagArrays(a,r)}return this.data.get(e).values}bufferSync(e){let t=this.readSync(e.dataId),n=t;if(e.dtype==="string")try{n=t.map(a=>k.decodeString(a))}catch(a){throw new Error("Failed to decode encoded string bytes into utf-8")}return Le(e.shape,e.dtype,n)}makeOutput(e,t,n){let a=this.write(e,t,n);return ts().makeTensorFromDataId(a,t,n,this)}disposeData(e){if(this.data.has(e)){let{complexTensorInfos:t}=this.data.get(e);t!=null&&(this.disposeData(t.real.dataId),this.disposeData(t.imag.dataId)),this.data.delete(e)}}disposeIntermediateTensorInfo(e){let t=e.dataId;if(this.data.has(t)){let n=this.data.get(t);n.refCount--,n.refCount<1&&this.disposeData(t)}}async time(e){let t=k.now();return e(),{kernelMs:k.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){Ie([e],"where");let t=this.readSync(e.dataId);return tG(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}},uT={};Oe(uT,{addImpl:()=>pT,bincountImpl:()=>Cv,bincountReduceImpl:()=>dT,ceilImpl:()=>hT,concatImpl:()=>_v,expImpl:()=>mT,expm1Impl:()=>fT,floorImpl:()=>gT,gatherV2Impl:()=>yT,greaterImpl:()=>bT,lessImpl:()=>xT,linSpaceImpl:()=>vT,logImpl:()=>wT,maxImpl:()=>kT,maximumImpl:()=>IT,minimumImpl:()=>NT,multiplyImpl:()=>Ev,negImpl:()=>TT,notEqualImpl:()=>ST,prodImpl:()=>CT,rangeImpl:()=>Fv,rsqrtImpl:()=>_T,simpleAbsImpl:()=>cT,sliceImpl:()=>Km,squaredDifferenceImpl:()=>ET,stridedSliceImpl:()=>AT,subImpl:()=>FT,tileImpl:()=> $ T,topKImpl:()=>DT,transposeImpl:()=>Av,uniqueImpl:()=>MT});function cT(e){let t=new Float32Array(e.length);for(let n=0;n<e.length;++n)t[n]=Math.abs(e[n]);return t}var aG=e=>{let{x:t}=e.inputs,n=e.backend;Ie(t,"abs");let a=new Float32Array(k.sizeFromShape(t.shape)),r=n.data.get(t.dataId).values;return a=cT(r),n.makeOutput(a,t.shape,"float32")},rG={kernelName:Lo,backendName:"cpu",kernelFunc:aG};function Pt(e){return(t,n,a,r,s)=>{let i=E.assertAndGetBroadcastShape(t,n),o=i.length,l=k.computeStrides(i),c=k.sizeFromShape(i),u=k.getTypedArrayFromDType(s,c),p=t.length,d=n.length,h=k.computeStrides(t),m=k.computeStrides(n),f=E.getBroadcastDims(t,i),g=E.getBroadcastDims(n,i);if(f.length+g.length===0)for(let y=0;y<u.length;++y)u[y]=e(a[y%a.length],r[y%r.length]);else for(let y=0;y<u.length;++y){let b=k.indexToLoc(y,o,l),v=b.slice(-p);f.forEach(C=>v[C]=0);let x=k.locToIndex(v,p,h),N=b.slice(-d);g.forEach(C=>N[C]=0);let T=k.locToIndex(N,d,m);u[y]=e(a[x],r[T])}return[u,i]}}function Bn(e){let{inputs:t,backend:n}=e,{real:a,imag:r}=t,s=n.data.get(a.dataId).values,i=n.data.get(r.dataId).values,o=n.makeTensorInfo(a.shape,"complex64"),l=n.data.get(o.dataId);return l.complexTensorInfos={real:n.makeTensorInfo(a.shape,"float32",s),imag:n.makeTensorInfo(r.shape,"float32",i)},o}var sG={kernelName:Vd,backendName:"cpu",kernelFunc:Bn};function Xm(e,t,n="float32"){if(n==="complex64"){let r=Xm(e,t,"float32"),s=Xm(e,t,"float32");return Bn({inputs:{real:r,imag:s},backend:e})}let a=k.makeZerosTypedArray(k.sizeFromShape(t),n);return e.makeTensorInfo(t,n,a)}function ir(e){let{inputs:t,backend:n}=e,{x:a}=t;return n.incRef(a.dataId),{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}var iG={kernelName:il,backendName:"cpu",kernelFunc:ir};function Ki(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.data.get(a.dataId).complexTensorInfos.real
2021-01-12 16:01:34 +01:00
` ),s=r.length.toString().length+2,i=r.map((p,d)=>k.rightPad((d+1).toString(),s)+p),o=0;for(let p=0;p<i.length;p++)o=Math.max(i[p].length,o);let l=i.slice(0,a-1),c=i.slice(a-1,a),u=i.slice(a);console.log(l.join( `
` )),console.log(t.split( `
` )[0]),console.log( ` % c $ { k . rightPad ( c [ 0 ] , o ) } ` ,"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(u.join( `
2021-01-20 14:15:38 +01:00
` ))}function Kq(e){return Ar(e,()=>e.createProgram(),"Unable to create WebGLProgram.")}function Xq(e,t){if(Te(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 Uv(e,t){if(Te(e,()=>e.validateProgram(t)),e.getProgramParameter(t,e.VALIDATE_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function Yq(e,t){let n=Ar(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return Te(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),Te(e,()=>e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function Jq(e,t){let n=Ar(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return Te(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)),Te(e,()=>e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function Zq(e){return Ar(e,()=>e.createTexture(),"Unable to create WebGLTexture.")}function Qq(e,t){let n=te().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0){let a= ` [ $ { e } x$ { t } ] ` ;throw new Error("Requested texture size "+a+" is invalid.")}if(e>n||t>n){let a= ` [ $ { e } x$ { t } ] ` ,r= ` [ $ { n } x$ { n } ] ` ;throw new Error("Requested texture size "+a+" greater than WebGL maximum on this browser / GPU "+r+".")}}function e8(e){return Ar(e,()=>e.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function tS(e,t,n,a,r,s,i){let o=e.getAttribLocation(t,n);return o===-1?!1:(Te(e,()=>e.bindBuffer(e.ARRAY_BUFFER,a)),Te(e,()=>e.vertexAttribPointer(o,r,e.FLOAT,!1,s,i)),Te(e,()=>e.enableVertexAttribArray(o)),!0)}function n8(e,t,n){t8(e,n),Te(e,()=>e.activeTexture(e.TEXTURE0+n)),Te(e,()=>e.bindTexture(e.TEXTURE_2D,t))}function a8(e,t,n){return Ar(e,()=>e.getUniformLocation(t,n),'uniform "'+n+'" not present in program.')}function r8(e,t,n){return e.getUniformLocation(t,n)}function s8(e,t,n,a){Te(e,()=>n8(e,t,a)),Te(e,()=>e.uniform1i(n,a))}function Gv(e,t,n){Te(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,n)),Te(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0))}function nS(e,t){Te(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,t)),Te(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0))}function ef(e){let t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+i8(e,t))}function i8(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 Ar(e,t,n){let a=Te(e,()=>t());if(a==null)throw new Error(n);return a}function t8(e,t){let n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,a=t+e.TEXTURE0;if(a<e.TEXTURE0||a>n){let r= ` [ gl . TEXTURE0 , gl . TEXTURE$ { n } ] ` ;throw new Error( ` textureUnit must be in $ { r } . ` )}}function yu(e,t=2){return k.sizeFromShape(e.slice(0,e.length-t))}function bu(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 Hv(e){let t=[1,1,1];return e.length===0||e.length===1&&e[0]===1||(t=[yu(e),...bu(e)]),t}function o8(e,t=!1){let n=te().getNumber("WEBGL_MAX_TEXTURE_SIZE");t&&(n=n*2,e=e.map((r,s)=>s>=e.length-2?k.nearestLargerEven(e[s]):e[s]),e.length===1&&(e=[2,e[0]])),e.length!==2&&(e=k.squeezeShape(e).newShape);let a=k.sizeFromShape(e);if(e.length<=1&&a<=n)return[1,a];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]*e[2]<=n&&e[3]<=n)return[e[0]*e[1]*e[2],e[3]];if(e.length===4&&e[0]<=n&&e[1]*e[2]*e[3]<=n)return[e[0],e[1]*e[2]*e[3]];if(t){let r=yu(e),s=2,i=2;return e.length&&([s,i]=bu(e)),a=r*(s/2)*(i/2),k.sizeToSquarishShape(a).map(o=>o*2)}return k.sizeToSquarishShape(a)}function tf(e){return e%2==0}function nf(e,t){if(e=e.slice(-2),t=t.slice(-2),k.arr
2020-10-11 18:41:17 +02:00
bool isnan _custom ( float val ) {
return ( val > 0.0 || val < 0.0 ) ? false : val != 0.0 ;
}
bvec4 isnan _custom ( vec4 val ) {
return bvec4 ( isnan _custom ( val . x ) ,
isnan _custom ( val . y ) , isnan _custom ( val . z ) , isnan _custom ( val . w ) ) ;
}
# define isnan ( value ) isnan _custom ( value )
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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 ) ) ;
}
ivec4 newRound ( vec4 value ) {
return ivec4 ( floor ( value + vec4 ( 0.5 ) ) ) ;
}
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` ):(e="",t="attribute",n="varying",a="varying",r="texture2D",s="gl_FragColor",i="",o= `
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# define isnan ( value ) isnan _custom ( value )
bool isnan _custom ( float val ) {
return ( val > 0. || val < 1. || val == 0. ) ? false : true ;
}
bvec4 isnan _custom ( vec4 val ) {
return bvec4 ( isnan ( val . x ) , isnan ( val . y ) , isnan ( val . z ) , isnan ( val . w ) ) ;
}
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` ,l= `
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uniform float INFINITY ;
bool isinf ( float val ) {
return abs ( val ) == INFINITY ;
}
bvec4 isinf ( vec4 val ) {
return equal ( abs ( val ) , vec4 ( INFINITY ) ) ;
}
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` ,c= `
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int round ( float value ) {
return int ( floor ( value + 0.5 ) ) ;
}
ivec4 round ( vec4 value ) {
return ivec4 ( floor ( value + vec4 ( 0.5 ) ) ) ;
}
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` ),{version:e,attribute:t,varyingVs:n,varyingFs:a,texture2D:r,output:s,defineOutput:i,defineSpecialNaN:o,defineSpecialInf:l,defineRound:c}}function Ji(e,t,n="index"){let a=k.computeStrides(t);return a.map((r,s)=>{let i= ` int $ { e [ s ] } = $ { n } / $ { r } ` ,o=s===a.length-1? ` int $ { e [ s + 1 ] } = $ { n } - $ { e [ s ] } * $ { r } ` : ` index -= $ { e [ s ] } * $ { r } ` ;return ` $ { i } ; $ { o } ; ` }).join("")}function Xv(e){let t=k.computeStrides(e).map(n=>n.toString());return `
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int getFlatIndex ( ivec3 coords ) {
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return coords . x * $ { t [ 0 ] } + coords . y * $ { t [ 1 ] } + coords . z ;
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}
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` }var rS= `
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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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` ,f8=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Tp.DENSE;let t=Cp(e),n=fn();this.outputShape=e,this.userCode= `
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ivec3 outCoordsFromFlatIndex ( int index ) {
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$ { Ji ( [ "r" , "c" , "d" ] , e ) }
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return ivec3 ( r , c , d ) ;
}
void main ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
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vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = 4 * ( resTexRC . x * $ { t [ 1 ] } + resTexRC . y ) ;
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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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$ { n . output } = result ;
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}
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` }},g8=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Tp.DENSE;let t=Cp(e),n=fn();this.outputShape=e,this.userCode= `
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ivec3 outCoordsFromFlatIndex ( int index ) {
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$ { Ji ( [ "r" , "c" , "d" ] , e ) }
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return ivec3 ( r , c , d ) ;
}
void main ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
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vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = 4 * ( resTexRC . x * $ { t [ 1 ] } + resTexRC . y ) ;
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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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$ { n . output } = result ;
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}
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` }},y8=class{constructor(e){this.variableNames=["A"],this.outTexUsage=aa.DOWNLOAD;let t=fn();this.outputShape=e,this.userCode= `
$ { rS }
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void main ( ) {
float x = getAAtOutCoords ( ) ;
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$ { t . output } = encode _float ( x ) ;
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}
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` }},b8=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=aa.DOWNLOAD;let t=fn();this.outputShape=e,this.userCode= `
$ { rS }
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
float x = getChannel ( getAAtOutCoords ( ) , vec2 ( coords . y , coords . z ) ) ;
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$ { t . output } = encode _float ( x ) ;
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}
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` }},x8=class{constructor(e,t,n=!1){this.variableNames=["A"];let a=fn(),[r,s]=t;this.outputShape=e;let i="result";n&&(i="floor(result * 255. + 0.5)"),this.userCode= `
$ { Xv ( e ) }
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
int flatIndex = getFlatIndex ( coords ) ;
int offset = imod ( flatIndex , 4 ) ;
flatIndex = idiv ( flatIndex , 4 , 1. ) ;
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int r = flatIndex / $ { s } ;
int c = imod ( flatIndex , $ { s } ) ;
vec2 uv = ( vec2 ( c , r ) + halfCR ) / vec2 ( $ { s } . 0 , $ { r } . 0 ) ;
vec4 values = $ { a . texture2D } ( A , uv ) ;
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float result ;
if ( offset == 0 ) {
result = values [ 0 ] ;
} else if ( offset == 1 ) {
result = values [ 1 ] ;
} else if ( offset == 2 ) {
result = values [ 2 ] ;
} else {
result = values [ 3 ] ;
}
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$ { a . output } = vec4 ( $ { i } , 0. , 0. , 0. ) ;
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}
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` }},v8=class{constructor(e,t,n=!1){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let a=fn(),[r,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 } ;
if ( localCoords [ 1 ] + $ { l } < $ { e [ 1 ] } ) {
localCoords [ 1 ] += $ { l } ;
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flatIndex = getFlatIndex ( localCoords ) ;
offset = imod ( flatIndex , 4 ) ;
flatIndex = idiv ( flatIndex , 4 , 1. ) ;
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r = flatIndex / $ { s } ;
c = imod ( flatIndex , $ { s } ) ;
uv = ( vec2 ( c , r ) + halfCR ) / vec2 ( $ { s } . 0 , $ { r } . 0 ) ;
values = $ { a . texture2D } ( A , uv ) ;
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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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}
}
}
` }this.userCode= `
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$ { Xv ( 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 ;
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$ { i }
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$ { a . output } = $ { o } ;
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}
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` }};function w8(e){let t=fn(),n= ` $ { t . version }
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precision highp float ;
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$ { t . attribute } vec3 clipSpacePos ;
$ { t . attribute } vec2 uv ;
$ { t . varyingVs } vec2 resultUV ;
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void main ( ) {
gl _Position = vec4 ( clipSpacePos , 1 ) ;
resultUV = uv ;
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} ` ;return Gq(e,n)}function k8(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 Yq(e,t)}function I8(e){let t=new Uint16Array([0,1,2,2,1,3]);return Jq(e,t)}function Ep(e,t,n,a,r,s){Qq(t,n);let i=Zq(e),o=e.TEXTURE_2D;return Te(e,()=>e.bindTexture(o,i)),Te(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)),Te(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)),Te(e,()=>e.texParameteri(o,e.TEXTURE_MIN_FILTER,e.NEAREST)),Te(e,()=>e.texParameteri(o,e.TEXTURE_MAG_FILTER,e.NEAREST)),Te(e,()=>e.texImage2D(o,0,a,t,n,0,r,s,null)),Te(e,()=>e.bindTexture(e.TEXTURE_2D,null)),i}function sS(e){return e.internalFormatFloat}function N8(e,t,n,a){let[r,s]=Sp(t,n);return Ep(e,r,s,sS(a),a.textureFormatFloat,e.FLOAT)}function iS(e){return e.internalFormatHalfFloat}function T8(e,t,n,a){let[r,s]=Sp(t,n);return Ep(e,r,s,iS(a),a.textureFormatFloat,a.textureTypeHalfFloat)}function oS(e){return e.downloadTextureFormat}function S8(e,t,n,a){let[r,s]=Sp(t,n);return Ep(e,r,s,oS(a),e.RGBA,e.UNSIGNED_BYTE)}function lS(e){return e.internalFormatPackedFloat}function C8(e,t,n,a){let[r,s]=gu(t,n);return Ep(e,r,s,lS(a),e.RGBA,e.FLOAT)}function uS(e){return e.internalFormatPackedHalfFloat}function _8(e,t,n,a){let[r,s]=gu(t,n);return Ep(e,r,s,uS(a),e.RGBA,a.textureTypeHalfFloat)}function E8(e,t,n){let a=0,r=3*4,s=3*4+2*4;return Te(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),tS(e,t,"clipSpacePos",n,3,s,a)&&tS(e,t,"uv",n,2,s,r)}function A8(e,t,n,a,r,s){Te(e,()=>e.bindTexture(e.TEXTURE_2D,t));let i,o,l;r instanceof Uint8Array?(i=new Uint8Array(n*a*4),o=e.UNSIGNED_BYTE,l=e.RGBA):(i=new Float32Array(n*a*4),o=e.FLOAT,l=s.internalFormatPackedFloat),i.set(r),Te(e,()=>e.texImage2D(e.TEXTURE_2D,0,l,n,a,0,e.RGBA,o,i)),Te(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function F8(e,t,n){Te(e,()=>e.bindTexture(e.TEXTURE_2D,t)),n.data instanceof Uint8Array?Te(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)):Te(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)),Te(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function $ 8(e,t,n,a){let r=e.createBuffer();Te(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,r));let s=4*4*t*n;return Te(e,()=>e.bufferData(e.PIXEL_PACK_BUFFER,s,e.STREAM_READ)),Te(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)),Te(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null)),r}function D8(e,t,n){let a=e,r=new Float32Array(n);return a.bindBuffer(a.PIXEL_PACK_BUFFER,t),a.getBufferSubData(a.PIXEL_PACK_BUFFER,0,r),a.bindBuffer(a.PIXEL_PACK_BUFFER,null),r}function M8(e,t,n,a){let[r,s]=Sp(t,n),i=4,o=new Uint8Array(Oq(t*n,i));return Te(e,()=>e.readPixels(0,0,r,s,a.downloadTextureFormat,e.UNSIGNED_BYTE,o)),new Float32Array(o.buffer)}function R8(e,t,n,a,r,s,i,o){let l=e,c=new Float32Array(Lq(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 P8(e,t,n){let a=new Float32Array(t*n*4);return Te(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,a)),a}var L8=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let t=te().getNumber("WEBGL_VERSION");e!=null?(this.gl=e,Mq(t,e)):this.gl=or(t);let n="WEBGL_color_buffer_float",a="EXT_color_buffer_half_float";if(te().getNumber("WEBGL_VERSION")===1){let r="OES_texture_float",s="OES_texture_half_float";if(this.textureFloatExtension=Qm(this.gl,r),wa(this.gl,s))this.textureHalfFloatExtension=Qm(this.gl,s);else if(te().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),wa(this.gl,a))this.colorBufferHalfFloatExtension=Qm(this.gl,a);else if(te().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",wa(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(wa(this.gl,a))t
` ),i=e.map(h=>z8(h,t,a)).join( `
` ),o=t.texShape,l=fn(),c=V8(l),u,p,d=H8(l);return t.isPacked?(u=B8(t.logicalShape,o),p=G8(l)):(u=W8(t.logicalShape,o),p=U8(l)),a&&(d+=j8),[d,c,p,s,u,i,n].join( `
` )}function xu(e){let t=e.shapeInfo.logicalShape;switch(t.length){case 0:return K8(e);case 1:return X8(e);case 2:return Y8(e);case 3:return J8(e);case 4:return Z8(e);case 5:return Q8(e);case 6:return eK(e);default:throw new Error( ` $ { t . length } - D input sampling is not yet supported ` )}}function pS(e){switch(e.shapeInfo.logicalShape.length){case 0:return tK(e);case 1:return nK(e);case 2:return aK(e);case 3:return rK(e);default:return sK(e)}}function z8(e,t,n=!1){let a="";n?a+=pS(e):a+=xu(e);let r=e.shapeInfo.logicalShape,s=t.logicalShape;return r.length<=s.length&&(n?a+=iK(e,t):a+=oK(e,t)),a}function B8(e,t){switch(e.length){case 0:return dS();case 1:return lK(e,t);case 2:return pK(e,t);case 3:return uK(e,t);default:return cK(e,t)}}function W8(e,t){switch(e.length){case 0:return dS();case 1:return dK(e,t);case 2:return yK(e,t);case 3:return hK(e,t);case 4:return mK(e,t);case 5:return fK(e,t);case 6:return gK(e,t);default:throw new Error( ` $ { e . length } - D output sampling is not yet supported ` )}}function V8(e){return `
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float sampleTexture ( sampler2D textureSampler , vec2 uv ) {
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return $ { e . texture2D } ( textureSampler , uv ) . r ;
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}
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` }function U8(e){return `
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void setOutput ( float val ) {
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$ { e . output } = vec4 ( val , 0 , 0 , 0 ) ;
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}
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` }function G8(e){return `
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void setOutput ( vec4 val ) {
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$ { e . output } = val ;
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}
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` }function H8(e){return ` $ { e . version }
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precision highp float ;
precision highp int ;
precision highp sampler2D ;
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$ { e . varyingFs } vec2 resultUV ;
$ { e . defineOutput }
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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 ;
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$ { e . defineSpecialNaN }
$ { e . defineSpecialInf }
$ { e . defineRound }
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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 ;
}
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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$ { bK }
$ { xK }
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$ { vK }
` }var bK= `
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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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` ,xK= `
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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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` ,vK= `
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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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` ,j8= `
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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 dS(){return `
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int getOutputCoords ( ) {
return 0 ;
}
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` }function lK(e,t){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return n[0]===1? `
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int getOutputCoords ( ) {
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return 2 * int ( resultUV . x * $ { n [ 1 ] } . 0 ) ;
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}
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` :n[1]===1? `
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int getOutputCoords ( ) {
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return 2 * int ( resultUV . y * $ { n [ 0 ] } . 0 ) ;
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}
` : `
int getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
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vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
return 2 * ( resTexRC . x * $ { n [ 1 ] } + resTexRC . y ) ;
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}
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` }function dK(e,t){return t[0]===1? `
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int getOutputCoords ( ) {
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return int ( resultUV . x * $ { t [ 1 ] } . 0 ) ;
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}
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` :t[1]===1? `
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int getOutputCoords ( ) {
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return int ( resultUV . y * $ { t [ 0 ] } . 0 ) ;
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}
` : `
int getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
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vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
return resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
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}
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` }function uK(e,t){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],a=Math.ceil(e[2]/2),r=a*Math.ceil(e[1]/2);return `
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ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
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vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
int index = resTexRC . x * $ { n [ 1 ] } + resTexRC . y ;
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int b = index / $ { r } ;
index -= b * $ { r } ;
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int r = 2 * ( index / $ { a } ) ;
int c = imod ( index , $ { a } ) * 2 ;
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return ivec3 ( b , r , c ) ;
}
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` }function hK(e,t){let n=Ji(["r","c","d"],e);return `
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ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
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vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { n }
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return ivec3 ( r , c , d ) ;
}
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` }function cK(e,t){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],a=Math.ceil(e[e.length-1]/2),r=a*Math.ceil(e[e.length-2]/2),s=r,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 ( ) {
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ivec2 resTexRC = ivec2 ( resultUV . yx *
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vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
int index = resTexRC . x * $ { n [ 1 ] } + resTexRC . y ;
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$ { i }
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int b = index / $ { r } ;
index -= b * $ { r } ;
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int r = 2 * ( index / $ { a } ) ;
int c = imod ( index , $ { a } ) * 2 ;
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return ivec$ { e . length } ( $ { o } ) ;
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}
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` }function mK(e,t){let n=Ji(["r","c","d","d2"],e);return `
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ivec4 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
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vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { n }
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return ivec4 ( r , c , d , d2 ) ;
}
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` }function fK(e,t){let n=Ji(["r","c","d","d2","d3"],e);return `
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ivec5 getOutputCoords ( ) {
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ivec2 resTexRC = ivec2 ( resultUV . yx * vec2 ( $ { t [ 0 ] } ,
$ { t [ 1 ] } ) ) ;
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int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
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$ { n }
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ivec5 outShape = ivec5 ( r , c , d , d2 , d3 ) ;
return outShape ;
}
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` }function gK(e,t){let n=Ji(["r","c","d","d2","d3","d4"],e);return `
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ivec6 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
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vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
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$ { n }
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ivec6 result = ivec6 ( r , c , d , d2 , d3 , d4 ) ;
return result ;
}
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` }function pK(e,t){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(k.arraysEqual(e,t))return `
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ivec2 getOutputCoords ( ) {
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return 2 * ivec2 ( resultUV . yx * vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
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}
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` ;let a=Math.ceil(e[1]/2);return `
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ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
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vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
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int index = resTexRC . x * $ { n [ 1 ] } + resTexRC . y ;
int r = 2 * ( index / $ { a } ) ;
int c = imod ( index , $ { a } ) * 2 ;
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return ivec2 ( r , c ) ;
}
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` }function yK(e,t){return k.arraysEqual(e,t)? `
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ivec2 getOutputCoords ( ) {
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return ivec2 ( resultUV . yx * vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
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}
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` :e[1]===1? `
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ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
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vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
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return ivec2 ( index , 0 ) ;
}
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` :e[0]===1? `
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ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
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vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
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return ivec2 ( 0 , index ) ;
}
` : `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
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vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
int r = index / $ { e [ 1 ] } ;
int c = index - r * $ { e [ 1 ] } ;
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return ivec2 ( r , c ) ;
}
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` }function Zi(e){return ` offset$ { e } ` }function tK(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),a=fn();return `
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vec4 $ { n } ( ) {
return $ { a . texture2D } ( $ { t } , halfCR ) ;
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}
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` }function K8(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);if(e.shapeInfo.isUniform)return ` float $ { n } ( ) { return $ { t } ; } ` ;let[a,r]=e.shapeInfo.texShape;if(a===1&&r===1)return `
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float $ { n } ( ) {
return sampleTexture ( $ { t } , halfCR ) ;
}
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` ;let[s,i]=e.shapeInfo.texShape,o=Zi(t);return `
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float $ { n } ( ) {
vec2 uv = uvFromFlat ( $ { s } , $ { i } , $ { o } ) ;
return sampleTexture ( $ { t } , uv ) ;
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}
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` }function nK(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),a=e.shapeInfo.texShape,r=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],s=fn();return `
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vec4 $ { n } ( int index ) {
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vec2 uv = packedUVfrom1D (
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$ { r [ 0 ] } , $ { r [ 1 ] } , index ) ;
return $ { s . texture2D } ( $ { t } , uv ) ;
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}
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` }function X8(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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$ { vu ( e ) }
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}
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` ;let a=e.shapeInfo.texShape,r=a[0],s=a[1];if(s===1&&r===1)return `
float $ { n } ( int index ) {
return sampleTexture ( $ { t } , halfCR ) ;
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}
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` ;let i=Zi(t);return s===1? `
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float $ { n } ( int index ) {
vec2 uv = vec2 ( 0.5 , ( float ( index + $ { i } ) + 0.5 ) / $ { r } . 0 ) ;
return sampleTexture ( $ { t } , uv ) ;
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}
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` :r===1? `
float $ { n } ( int index ) {
vec2 uv = vec2 ( ( float ( index + $ { i } ) + 0.5 ) / $ { s } . 0 , 0.5 ) ;
return sampleTexture ( $ { t } , uv ) ;
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}
` : `
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float $ { n } ( int index ) {
vec2 uv = uvFromFlat ( $ { r } , $ { s } , index + $ { i } ) ;
return sampleTexture ( $ { t } , uv ) ;
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}
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` }function aK(e){let t=e.shapeInfo.logicalShape,n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=e.shapeInfo.texShape,s=r[0],i=r[1],o=fn();if(r!=null&&k.arraysEqual(t,r))return `
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vec4 $ { a } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { i } . 0 , $ { s } . 0 ) ;
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return $ { o . texture2D } ( $ { n } , uv ) ;
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}
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` ;let l=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],c=Math.ceil(t[1]/2);return `
vec4 $ { a } ( int row , int col ) {
vec2 uv = packedUVfrom2D ( $ { c } , $ { l [ 0 ] } , $ { l [ 1 ] } , row , col ) ;
return $ { o . texture2D } ( $ { n } , uv ) ;
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}
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` }function Y8(e){let t=e.shapeInfo.logicalShape,n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=e.shapeInfo.texShape;if(r!=null&&k.arraysEqual(t,r)){let p=r[0],d=r[1];return `
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float $ { a } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { d } . 0 , $ { p } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` }let{newShape:s,keptDims:i}=k.squeezeShape(t),o=s;if(o.length<t.length){let p=wu(e,o),d=["row","col"];return `
$ { xu ( p ) }
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float $ { a } ( int row , int col ) {
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return $ { a } ( $ { ku ( d , i ) } ) ;
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}
` }if(e.shapeInfo.isUniform)return `
float $ { a } ( int row , int col ) {
int index = round ( dot ( vec2 ( row , col ) , vec2 ( $ { t [ 1 ] } , 1 ) ) ) ;
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$ { vu ( e ) }
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}
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` ;let l=r[0],c=r[1],u=Zi(n);return c===1? `
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float $ { a } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { u } ) , vec3 ( $ { t [ 1 ] } , 1 , 1 ) ) ;
vec2 uv = vec2 ( 0.5 , ( index + 0.5 ) / $ { l } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` :l===1? `
float $ { a } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { u } ) , vec3 ( $ { t [ 1 ] } , 1 , 1 ) ) ;
vec2 uv = vec2 ( ( index + 0.5 ) / $ { c } . 0 , 0.5 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
` : `
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float $ { a } ( int row , int col ) {
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// 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 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` }function rK(e){let t=e.shapeInfo.logicalShape,n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=e.shapeInfo.texShape,s=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)];if(t[0]===1){let p=t.slice(1),d=[1,2],h=wu(e,p),m=["b","row","col"];return `
$ { pS ( h ) }
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vec4 $ { a } ( int b , int row , int col ) {
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return $ { a } ( $ { ku ( m , 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=fn();return `
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vec4 $ { a } ( int b , int row , int col ) {
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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 J8(e){let t=e.shapeInfo.logicalShape,n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=t[1]*t[2],s=t[2],{newShape:i,keptDims:o}=k.squeezeShape(t),l=i;if(l.length<t.length){let m=wu(e,l),f=["row","col","depth"];return `
$ { xu ( m ) }
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float $ { a } ( int row , int col , int depth ) {
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return $ { a } ( $ { ku ( f , o ) } ) ;
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}
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` }if(e.shapeInfo.isUniform)return `
float $ { a } ( int row , int col , int depth ) {
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int index = round ( dot ( vec3 ( row , col , depth ) ,
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vec3 ( $ { r } , $ { s } , 1 ) ) ) ;
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$ { vu ( e ) }
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}
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` ;let c=e.shapeInfo.texShape,u=c[0],p=c[1],d=e.shapeInfo.flatOffset;if(p===r&&d==null)return `
float $ { a } ( int row , int col , int depth ) {
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float texR = float ( row ) ;
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float texC = dot ( vec2 ( col , depth ) , vec2 ( $ { s } , 1 ) ) ;
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vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { p } . 0 , $ { u } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(p===s&&d==null)return `
float $ { a } ( int row , int col , int depth ) {
float texR = dot ( vec2 ( row , col ) , vec2 ( $ { t [ 1 ] } , 1 ) ) ;
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float texC = float ( depth ) ;
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vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { p } . 0 , $ { u } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;let h=Zi(n);return `
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float $ { a } ( int row , int col , int depth ) {
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// Explicitly use integer operations as dot() only works on floats.
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int index = row * $ { r } + col * $ { s } + depth + $ { h } ;
vec2 uv = uvFromFlat ( $ { u } , $ { p } , index ) ;
return sampleTexture ( $ { n } , uv ) ;
}
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` }function sK(e){let t=e.shapeInfo.logicalShape,n=t.length,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.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),p="int b, int row, int col",d= ` b * $ { u } + ( row / 2 ) * $ { c } + ( col / 2 ) ` ;for(let m=2;m<n-1;m++)p= ` int b$ { m } , ` +p,u*=t[n-m-1],d= ` b$ { m } * $ { u } + ` +d;let h=fn();return `
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vec4 $ { r } ( $ { p } ) {
int index = $ { d } ;
int texR = index / $ { l } ;
int texC = index - texR * $ { l } ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { l } , $ { o } ) ;
return $ { h . texture2D } ( $ { a } , uv ) ;
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}
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` }function Z8(e){let t=e.shapeInfo.logicalShape,n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=t[3],s=t[2]*r,i=t[1]*s,{newShape:o,keptDims:l}=k.squeezeShape(t);if(o.length<t.length){let m=wu(e,o),f=["row","col","depth","depth2"];return `
$ { xu ( m ) }
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float $ { a } ( int row , int col , int depth , int depth2 ) {
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return $ { a } ( $ { ku ( f , l ) } ) ;
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}
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` }if(e.shapeInfo.isUniform)return `
float $ { a } ( int row , int col , int depth , int depth2 ) {
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int index = round ( dot ( vec4 ( row , col , depth , depth2 ) ,
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vec4 ( $ { i } , $ { s } , $ { r } , 1 ) ) ) ;
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$ { vu ( e ) }
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}
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` ;let c=e.shapeInfo.flatOffset,u=e.shapeInfo.texShape,p=u[0],d=u[1];if(d===i&&c==null)return `
float $ { a } ( int row , int col , int depth , int depth2 ) {
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float texR = float ( row ) ;
float texC =
dot ( vec3 ( col , depth , depth2 ) ,
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vec3 ( $ { s } , $ { r } , 1 ) ) ;
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vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { d } . 0 , $ { p } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(d===r&&c==null)return `
float $ { a } ( int row , int col , int depth , int depth2 ) {
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float texR = dot ( vec3 ( row , col , depth ) ,
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vec3 ( $ { t [ 1 ] * t [ 2 ] } , $ { t [ 2 ] } , 1 ) ) ;
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float texC = float ( depth2 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { d } . 0 , $ { p } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;let h=Zi(n);return `
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float $ { a } ( int row , int col , int depth , int depth2 ) {
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// Explicitly use integer operations as dot() only works on floats.
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int index = row * $ { i } + col * $ { s } +
depth * $ { r } + depth2 ;
vec2 uv = uvFromFlat ( $ { p } , $ { d } , index + $ { h } ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` }function Q8(e){let t=e.shapeInfo.logicalShape,n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=t[4],s=t[3]*r,i=t[2]*s,o=t[1]*i,{newShape:l,keptDims:c}=k.squeezeShape(t);if(l.length<t.length){let f=wu(e,l),g=["row","col","depth","depth2","depth3"];return `
$ { xu ( f ) }
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float $ { a } ( int row , int col , int depth , int depth2 , int depth3 ) {
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return $ { a } ( $ { ku ( g , c ) } ) ;
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}
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` }if(e.shapeInfo.isUniform)return `
float $ { a } ( int row , int col , int depth , int depth2 , int depth3 ) {
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float index = dot (
vec4 ( row , col , depth , depth2 ) ,
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vec4 ( $ { o } , $ { i } , $ { s } , $ { r } ) ) +
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depth3 ;
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$ { vu ( e ) }
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}
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` ;let u=e.shapeInfo.flatOffset,p=e.shapeInfo.texShape,d=p[0],h=p[1];if(h===o&&u==null)return `
float $ { a } ( int row , int col , int depth , int depth2 , int depth3 ) {
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int texR = row ;
float texC = dot ( vec4 ( col , depth , depth2 , depth3 ) ,
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vec4 ( $ { i } , $ { s } , $ { r } , 1 ) ) ;
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vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { h } . 0 , $ { d } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(h===r&&u==null)return `
float $ { a } ( int row , int col , int depth , int depth2 , int depth3 ) {
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float texR = dot (
vec4 ( row , col , depth , depth2 ) ,
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vec4 ( $ { t [ 1 ] * t [ 2 ] * t [ 3 ] } ,
$ { t [ 2 ] * t [ 3 ] } , $ { t [ 3 ] } , 1 ) ) ;
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int texC = depth3 ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { h } . 0 , $ { d } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;let m=Zi(n);return `
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float $ { a } ( int row , int col , int depth , int depth2 , int depth3 ) {
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// Explicitly use integer operations as dot() only works on floats.
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int index = row * $ { o } + col * $ { i } + depth * $ { s } +
depth2 * $ { r } + depth3 + $ { m } ;
vec2 uv = uvFromFlat ( $ { d } , $ { h } , index ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` }function eK(e){let t=e.shapeInfo.logicalShape,n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),{newShape:r,keptDims:s}=k.squeezeShape(t);if(r.length<t.length){let g=wu(e,r),y=["row","col","depth","depth2","depth3","depth4"];return `
$ { xu ( g ) }
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float $ { a } ( int row , int col , int depth ,
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int depth2 , int depth3 , int depth4 ) {
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return $ { a } ( $ { ku ( 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 `
float $ { a } ( int row , int col , int depth ,
2020-10-11 18:41:17 +02:00
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 ) ,
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vec2 ( $ { i } , 1 ) ) ) ;
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$ { vu ( e ) }
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}
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` ;let p=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,h=d[0],m=d[1];if(m===u&&p==null)return `
float $ { a } ( int row , int col , int depth ,
2020-10-11 18:41:17 +02:00
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 ) /
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vec2 ( $ { m } . 0 , $ { h } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(m===i&&p==null)return `
float $ { a } ( int row , int col , int depth ,
2020-10-11 18:41:17 +02:00
int depth2 , int depth3 , int depth4 ) {
float texR = dot ( vec4 ( row , col , depth , depth2 ) ,
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vec4 ( $ { t [ 1 ] * t [ 2 ] * t [ 3 ] * t [ 4 ] } ,
$ { t [ 2 ] * t [ 3 ] * t [ 4 ] } ,
$ { t [ 3 ] * t [ 4 ] } ,
$ { t [ 4 ] } ) ) + float ( depth3 ) ;
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int texC = depth4 ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { m } . 0 , $ { h } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;let f=Zi(n);return `
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float $ { a } ( int row , int col , int depth ,
2020-10-11 18:41:17 +02:00
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 } +
depth2 * $ { o } + depth3 * $ { i } + depth4 + $ { f } ;
vec2 uv = uvFromFlat ( $ { h } , $ { m } , index ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` }function vu(e){let t=e.name,n=k.sizeFromShape(e.shapeInfo.logicalShape);return n<2? ` return $ { t } ; ` : `
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for ( int i = 0 ; i < $ { n } ; i ++ ) {
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if ( i == index ) {
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return $ { t } [ i ] ;
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}
}
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` }function iK(e,t){let n=e.name,a=n.charAt(0).toUpperCase()+n.slice(1),r="get"+a+"AtOutCoords",s=e.shapeInfo.logicalShape.length,i=t.logicalShape.length,o=cS(e.shapeInfo.logicalShape,t.logicalShape),l=gt(i),c=i-s,u,p=["x","y","z","w","u","v"];s===0?u="":i<2&&o.length>=1?u="coords = 0;":u=o.map(g=> ` coords . $ { p [ g + c ] } = 0 ; ` ).join( `
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` );let d="";i<2&&s>0?d="coords":d=e.shapeInfo.logicalShape.map((g,y)=> ` coords . $ { p [ y + c ] } ` ).join(", ");let h="return outputValue;",m=k.sizeFromShape(e.shapeInfo.logicalShape)===1,f=k.sizeFromShape(t.logicalShape)===1;if(s===1&&!m&&!f)h= `
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return vec4 ( outputValue . xy , outputValue . xy ) ;
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` ;else if(m&&!f)i===1?h= `
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return vec4 ( outputValue . x , outputValue . x , 0. , 0. ) ;
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` :h= `
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return vec4 ( outputValue . x ) ;
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` ;else if(o.length){let g=s-2,y=s-1;o.indexOf(g)>-1&&o.indexOf(y)>-1?h="return vec4(outputValue.x);":o.indexOf(g)>-1?h="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":o.indexOf(y)>-1&&(h="return vec4(outputValue.xx, outputValue.zz);")}return `
vec4 $ { r } ( ) {
$ { l } coords = getOutputCoords ( ) ;
$ { u }
vec4 outputValue = get$ { a } ( $ { d } ) ;
$ { h }
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}
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` }function oK(e,t){let n=e.name,a=n.charAt(0).toUpperCase()+n.slice(1),r="get"+a+"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&&k.arraysEqual(i,s))return `
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float $ { r } ( ) {
return sampleTexture ( $ { n } , resultUV ) ;
}
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` ;let c=gt(l),u=cS(e.shapeInfo.logicalShape,t.logicalShape),p=l-o,d,h=["x","y","z","w","u","v"];o===0?d="":l<2&&u.length>=1?d="coords = 0;":d=u.map(f=> ` coords . $ { h [ f + p ] } = 0 ; ` ).join( `
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` );let m="";return l<2&&o>0?m="coords":m=e.shapeInfo.logicalShape.map((f,g)=> ` coords . $ { h [ g + p ] } ` ).join(", "), `
float $ { r } ( ) {
$ { c } coords = getOutputCoords ( ) ;
$ { d }
return get$ { a } ( $ { m } ) ;
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}
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` }function gt(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 wu(e,t){let n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function ku(e,t){return t.map(n=>e[n]).join(", ")}function wK(e,t,n,a){let r=t.userCode,s=n.map((h,m)=>{let f={logicalShape:h.shape,texShape:h.isUniform?null:h.texData.texShape,isUniform:h.isUniform,isPacked:h.isUniform?!1:h.texData.isPacked,flatOffset:null};return h.texData!=null&&h.texData.slice!=null&&h.texData.slice.flatOffset>0&&(f.flatOffset=h.texData.slice.flatOffset),{name:t.variableNames[m],shapeInfo:f}}),i=s.map(h=>h.shapeInfo),o={logicalShape:a.shape,texShape:a.texData.texShape,isUniform:!1,isPacked:a.texData.isPacked,flatOffset:null},l=q8(s,o,r,t.packedInputs),c=e.createProgram(l),u=null,p=e.getUniformLocation(c,"NAN",!1);te().getNumber("WEBGL_VERSION")===1&&(u=e.getUniformLocation(c,"INFINITY",!1));let d={};for(let h=0;h<t.variableNames.length;h++){let m=t.variableNames[h],f=!1;d[m]=e.getUniformLocation(c,m,f),d[ ` offset$ { m } ` ]=e.getUniformLocation(c, ` offset$ { m } ` ,f)}return{program:t,source:l,webGLProgram:c,uniformLocations:d,inShapeInfos:i,outShapeInfo:o,infLoc:u,nanLoc:p}}function hS(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,a)=>{let r=n.logicalShape,s=t[a],i=s.shape;if(!k.arraysEqual(r,i))throw Error( ` Binary was compiled with different shapes than the current args . Shapes $ { r } and $ { i } must match ` );if(n.isUniform&&s.isUniform)return;let o=n.texShape,l=s.isUniform?null:s.texData.texShape;if(!k.arraysEqual(o,l))throw Error( ` Binary was compiled with different texture shapes than the current args . Shape $ { o } and $ { l } must match ` )})}function kK(e,t,n,a,r){hS(t.inShapeInfos,n),hS([t.outShapeInfo],[a]);let s=a.texData.texture,i=a.texData.texShape;a.texData.isPacked?e.setOutputPackedMatrixTexture(s,i[0],i[1]):e.setOutputMatrixTexture(s,i[0],i[1]),e.setProgram(t.webGLProgram),te().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],p=t.uniformLocations[ ` offset$ { c } ` ];if(u!=null){if(o.isUniform){if(k.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&&p!=null&&e.gl.uniform1i(p,o.texData.slice.flatOffset),e.setInputMatrixTexture(o.texData.texture,u,l)}}),r!=null&&r(e,t.webGLProgram),e.executeProgram()}function IK(e,t,n){let a="";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;a+= ` $ { i . shape } _$ { l } _$ { o } ` });let r=e.userCode,s=e.constructor.name;return s+="_"+a+"_"+r,s}var{addImpl:NK,bincountImpl:mS,bincountReduceImpl:TK,ceilImpl:SK,concatImpl:CK,expImpl:_K,expm1Impl:EK,floorImpl:AK,gatherV2Impl:FK,greaterImpl: $ K,lessImpl:DK,linSpaceImpl:MK,logImpl:RK,maxImpl:PK,maximumImpl:OK,minimumImpl:LK,multiplyImpl:zK,negImpl:BK,prodImpl:WK,rangeImpl:VK,rsqrtImpl:UK,simpleAbsImpl:fS,sliceImpl:GK,stridedSliceImpl:HK,subImpl:jK,tileImpl:qK,topKImpl:KK,transposeImpl:Yv,uniqueImpl:XK}=uT;function gS(e,t){return["x","y","z","w","u","v"].slice(0,t).map(n=> ` $ { e } . $ { n } ` )}function gn(e,t){return t===1?[e]:gS(e,t)}function YK(e,t){if(e===1)return"rc";let n="";for(let a=0;a<e;a++)n+=t[a],a<e-1&&(n+=",");return n}var eX=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=gn("rc",t),a=gt(t),r=JK(t,e,n),s=ZK(t,e[e.length-1],e[e.length-2],n),i=QK(e,n);this.userCode= `
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void main ( ) {
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$ { a } rc = getOutputCoords ( ) ;
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if ( $ { r } ) {
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setOutput ( vec4 ( 0 ) ) ;
} else {
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$ { s }
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setOutput ( vec4 ( $ { i } ) ) ;
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}
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}
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` }}};function tX(e,t){let n=[];for(let a=0;a<=1;a++)for(let r=0;r<=1;r++){let s= ` $ { a === 0 ? "r" : "rp1" } , $ { r === 0 ? "c" : "cp1" } ` ;for(let i=2;i<e;i++)s= ` $ { t [ t . length - 1 - i ] } , ` +s;n.push(s)}return n}function JK(e,t,n){if(e===1)return ` rc > $ { t [ 0 ] } ` ;let a="";for(let r=e-2;r<e;r++)a+= ` $ { n [ r ] } >= $ { t [ r ] } ` ,r<e-1&&(a+="||");return a}function ZK(e,t,n,a){if(e===1)return"";let r=a.slice(-2);return `
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int r = $ { r [ 0 ] } ;
int c = $ { r [ 1 ] } ;
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int rp1 = r + 1 ;
int cp1 = c + 1 ;
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bool cEdge = cp1 >= $ { t } ;
bool rEdge = rp1 >= $ { n } ;
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` }function QK(e,t){let n=e.length,a=tX(n,t);return n===1? ` getA ( rc ) ,
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rc + 1 >= $ { e [ 0 ] } ? 0. : getA ( rc + 1 ) ,
0 , 0 ` : ` getA ( $ { a [ 0 ] } ) ,
cEdge ? 0. : getA ( $ { a [ 1 ] } ) ,
rEdge ? 0. : getA ( $ { a [ 2 ] } ) ,
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rEdge || cEdge ? 0. : getA ( $ { a [ 3 ] } ) ` }var yS=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let n="";for(let a=0;a<4;a++){let r="thisRC = rc;";a%2==1&&(r+="thisRC.z += 1;"),a>1&&(r+="thisRC.y += 1;"),n+= `
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$ { r }
$ { a > 0 ? "if(thisRC.y < rows && thisRC.z < cols){" : "" }
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int flatIndex = getFlatIndex ( thisRC ) ;
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ivec3 inputRC = inputCoordsFromReshapedOutCoords ( flatIndex ) ;
vec2 inputRCInnerDims = vec2 ( float ( inputRC . y ) , float ( inputRC . z ) ) ;
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result [ $ { a } ] =
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getChannel ( getA ( inputRC . x , inputRC . y , inputRC . z ) , inputRCInnerDims ) ;
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$ { a > 0 ? "}" : "" }
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` }this.userCode= `
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$ { nX ( t ) }
$ { Xv ( e ) }
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void main ( ) {
ivec3 rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
ivec3 thisRC ;
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int rows = $ { e [ 1 ] } ;
int cols = $ { e [ 2 ] } ;
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$ { n }
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setOutput ( result ) ;
}
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` }};function nX(e){return `
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ivec3 inputCoordsFromReshapedOutCoords ( int index ) {
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$ { Ji ( [ "r" , "c" , "d" ] , e ) }
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return ivec3 ( r , c , d ) ;
}
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` }var aX=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 a=xS(t,n),r=vS(e,a,n);r in this.freeTextures||(this.freeTextures[r]=[]),r in this.usedTextures||(this.usedTextures[r]=[]);let s=bS(e,a,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[r].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=s,this.log();let o=this.freeTextures[r].shift();return this.usedTextures[r].push(o),o}let i;return a===rn.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):a===rn.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):a===rn.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):a===rn.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):a===rn.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[r].push(i),this.numUsedTextures++,this._numBytesAllocated+=s,this.log(),i}releaseTexture(e,t,n,a){if(this.freeTextures==null)return;let r=xS(n,a),s=vS(t,r,a);s in this.freeTextures||(this.freeTextures[s]=[]);let i=bS(t,r,this.gpgpu.gl,this.gpgpu.textureConfig,a),o=te().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 rX(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 bS(e,t,n,a,r){let s=sX(t,a),i;if(r){let[l,c]=gu(e[0],e[1]);i=l*c}else{let[l,c]=Sp(e[0],e[1]);i=l*c}let o=rX(n,s);return i*o}function sX(e,t){switch(e){case rn.PACKED_2X2_FLOAT32:return lS(t);case rn.PACKED_2X2_FLOAT16:return uS(t);case rn.UNPACKED_FLOAT32:return sS(t);case rn.UNPACKED_FLOAT16:return iS(t);case rn.PACKED_4X1_UNSIGNED_BYTE:return oS(t);default:throw new Error( ` Unknown physical texture type $ { e } ` )}}function iX(e){return te().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?rn.PACKED_2X2_FLOAT32:rn.UNPACKED_FLOAT32:e?rn.PACKED_2X2_FLOAT16:rn.UNPACKED_FLOAT16}function xS(e,t){if(e===aa.UPLOAD)return rn.PACKED_2X2_FLOAT32;if(e===aa.RENDER||e==null)return iX(t);if(e===aa.DOWNLOAD||e===aa.PIXELS)return rn.PACKED_4X1_UNSIGNED_BYTE;throw new Error( ` Unknown logical texture type $ { e } ` )}function vS(e,t,n){return ` $ { e [ 0 ] } _$ { e [ 1 ] } _$ { t } _$ { n } ` }var gs=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.userCode= `
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float unaryOperation ( float x ) {
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$ { t }
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}
void main ( ) {
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float x = getAAtOutCoords ( ) ;
float y = unaryOperation ( x ) ;
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setOutput ( y ) ;
}
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` }},La="if (isnan(x)) return x;",oX="return x;",wS="return abs(x);",lX="return (x >= 0.0) ? x : (exp(x) - 1.0);",uX=La+ `
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return ( x < 0.0 ) ? 0.0 : x ;
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` ,cX=La+ `
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return ( x < 0.0 ) ? 0.0 : min ( 6.0 , x ) ;
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` ,af="return x;",pX="return x;",dX= `
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vec4 result ;
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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 ) ;
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return result ;
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` ,hX= `
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vec4 result = x * vec4 ( greaterThanEqual ( x , vec4 ( 0.0 ) ) ) ;
bvec4 isNaN = isnan ( x ) ;
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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 ;
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return result ;
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` ,mX= `
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vec4 result = min ( x , vec4 ( 6. ) ) * vec4 ( greaterThanEqual ( x , vec4 ( 0.0 ) ) ) ;
bvec4 isNaN = isnan ( x ) ;
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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 ;
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return result ;
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` ,Iu=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 ) {
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$ { t }
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}
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void main ( ) {
vec4 x = getAAtOutCoords ( ) ;
vec4 y = unaryOperation ( x ) ;
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setOutput ( y ) ;
}
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` }},fX=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e;let t=e.length,n=gn("rc",t),a=gt(t),r=YK(t,n),s=n.slice(-2),i=t<=1?"rc": ` vec2 ( $ { s . join ( "," ) } ) ` ;this.userCode= `
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void main ( ) {
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$ { a } rc = getOutputCoords ( ) ;
vec4 packedInput = getA ( $ { r } ) ;
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setOutput ( getChannel ( packedInput , $ { i } ) ) ;
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}
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` }},gX=er.whereImpl,yX=1e-7,bX=1e-4,Jv={};function xX(e){return e in Jv||(Jv[e]={}),Jv[e]}var vX=128,wX=600;function kX(){return te().global.screen==null?1024:te().global.screen.height*te().global.screen.width*window.devicePixelRatio*wX/1024/1024}var NX=class extends dc{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.warnedAboutMemory=!1,this.warnedAboutCPUBackend=!1,this.pendingDeletes=0,this.disposed=!1,!te().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(e==null){let t=or(te().getNumber("WEBGL_VERSION"));this.binaryCache=xX(te().getNumber("WEBGL_VERSION")),this.gpgpu=new L8(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 aX(this.gpgpu),this.numMBBeforeWarning=kX(),this.texData=new Dd(this,ts())}numDataIds(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes}write(e,t,n){if((te().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||te().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 a={};return this.texData.set(a,{shape:t,dtype:n,values:e,usage:aa.UPLOAD,refCount:1,complexParentRefCount:0}),a}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--}}decComplexRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.complexParentRefCount>0&&t.refCount--}}move(e,t,n,a){if(te().getBool("DEBUG")&&this.checkNumericalProblems(t),a==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:a,values:t,usage:aa.UPLOAD,refCount:1,complexParentRefCount:0})}disposeIntermediateTensorInfo(e){let t=e.dataId;if(this.texData.has(t)){let n=this.texData.get(t);n.refCount--,n.refCount<1&&this.disposeData(t)}}readSync(e){let t=this.texData.get(e),{values:n,dtype:a,complexTensorInfos:r,slice:s,shape:i,isPacked:o}=t;if(s!=null){let p;o?p=new Iu(i,af):p=new gs(i,af);let d=this.runWebGLProgram(p,[{dataId:e,shape:i,dtype:a}],a),h=this.readSync(d.dataId);return this.disposeIntermediateTensorInfo(d),h}if(n!=null)return this.convertAndCacheOnCPU(e);if(a==="string")return n;let l=this.activeTimers!=null,c;l&&(c=k.now());let u;if(a==="complex64"){let p=this.readSync(r.real.dataId),d=this.readSync(r.imag.dataId);u=E.mergeRealAndImagArrays(p,d)}else u=this.getValuesFromTexture(e);return l&&(this.downloadWaitMs+=k.now()-c),this.convertAndCacheOnCPU(e,u)}async read(e){if(this.pendingRead.has(e)){let h=this.pendingRead.get(e);return new Promise(m=>h.push(m))}let t=this.texData.get(e),{values:n,shape:a,slice:r,dtype:s,complexTensorInfos:i,isPacked:o}=t;if(r!=null){let h;o?h=new Iu(a,af):h=new gs(a,af);let m=this.runWebGLProgram(h,[{dataId:e,shape:a,dtype:s}],s),f=this.read(m.dataId);return this.disposeIntermediateTensorInfo(m),f}if(n!=null)return this.convertAndCacheOnCPU(e);if(!te().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&te().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"&&te().get("WEBGL_BUFFER_SUPPORTED")){c=this.decode(e);let h=this.texData.get(c.dataId);l=this.gpgpu.createBufferFromTexture(h.texture,...Cp(a))}this.pendingRead.set(e,[]),s!=="complex64"&&await this.gpgpu.createAndWaitForFence();let u;if(s==="complex64"){let h=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]),m=h[0],f=h[1];u=E.mergeRealAndImagArrays(m,f)}else if(l==null)u=this.getValuesFromTexture(e);else{let h=k.sizeFromShape(a);u=this.gpgpu.downloadFloat32MatrixFromBuffer(l,h)}c!=null&&this.disposeIntermediateTensorInfo(c);let p=this.convertAndCacheOnCPU(e,u),d=this.pendingRead.get(e);return this.pendingRead.delete(e),d.forEach(h=>h(p)),this.pend
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if ( isnan ( a ) ) return a ;
if ( isnan ( b ) ) return b ;
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` ,Nu=class{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=E.assertAndGetBroadcastShape(t,n),this.userCode= `
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float binaryOperation ( float a , float b ) {
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$ { e }
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}
void main ( ) {
float a = getAAtOutCoords ( ) ;
float b = getBAtOutCoords ( ) ;
setOutput ( binaryOperation ( a , b ) ) ;
}
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` }},rf= `
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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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` ,Ap=class{constructor(e,t,n,a=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=E.assertAndGetBroadcastShape(t,n);let r=this.outputShape.length,s="";if(a)if(r===0||k.sizeFromShape(this.outputShape)===1)s= `
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result . y = 0. ;
result . z = 0. ;
result . w = 0. ;
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` ;else if(s= `
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$ { gt ( r ) } coords = getOutputCoords ( ) ;
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` ,r===1)s+= `
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result . y = ( coords + 1 ) >= $ { this . outputShape [ 0 ] } ? 0. : result . y ;
result . z = 0. ;
result . w = 0. ;
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` ;else{let i=gn("coords",r);s+= `
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bool nextRowOutOfBounds =
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( $ { i [ r - 2 ] } + 1 ) >= $ { this . outputShape [ r - 2 ] } ;
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bool nextColOutOfBounds =
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( $ { i [ r - 1 ] } + 1 ) >= $ { this . outputShape [ r - 1 ] } ;
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result . y = nextColOutOfBounds ? 0. : result . y ;
result . z = nextRowOutOfBounds ? 0. : result . z ;
result . w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result . w ;
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` }this.userCode= `
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vec4 binaryOperation ( vec4 a , vec4 b ) {
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$ { e }
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}
void main ( ) {
vec4 a = getAAtOutCoords ( ) ;
vec4 b = getBAtOutCoords ( ) ;
vec4 result = binaryOperation ( a , b ) ;
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$ { s }
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setOutput ( result ) ;
}
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` }};function Wn(e){let{inputs:t,backend:n}=e,{x:a}=t;return n.incRef(a.dataId),{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}var SX={kernelName:il,backendName:"webgl",kernelFunc:Wn};function ys(e){let{inputs:t,backend:n}=e,{real:a,imag:r}=t,s=n.makeTensorInfo(a.shape,"complex64"),i=n.texData.get(s.dataId),o=Wn({inputs:{x:a},backend:n}),l=n.texData.get(o.dataId);l.complexParentRefCount++;let c=Wn({inputs:{x:r},backend:n}),u=n.texData.get(c.dataId);return u.complexParentRefCount++,i.complexTensorInfos={real:o,imag:c},s}var CX={kernelName:Vd,backendName:"webgl",kernelFunc:ys},IS="return (a < 0.) ? b * a : a;",NS= `
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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 _X(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{alpha:s}=a,i=n.makeTensorInfo([],"float32",k.createScalarValue(s,"float32")),o=te().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ap(NS,r.shape,i.shape):new Nu(IS,r.shape,i.shape),l=n.runWebGLProgram(o,[r,i],r.dtype);return n.disposeIntermediateTensorInfo(i),l}var EX={kernelName:Ys,backendName:"webgl",kernelFunc:_X},TS="return (a < 0.) ? b * a : a;",SS= `
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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 AX(e){let{inputs:t,backend:n}=e,{x:a,alpha:r}=t,s=te().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ap(SS,a.shape,r.shape):new Nu(TS,a.shape,r.shape);return n.runWebGLProgram(s,[a,r],a.dtype)}var FX={kernelName:li,backendName:"webgl",kernelFunc:AX},CS="if (isnan(x)) return x;", $ X= `
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if ( isnan ( a ) ) return a ;
if ( isnan ( b ) ) return b ;
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` ,DX= `
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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 Je({opSnippet:e,packedOpSnippet:t,cpuKernelImpl:n,dtype:a}){return({inputs:r,backend:s})=>{let{x:i}=r,o=s,l=a||i.dtype;if(o.shouldExecuteOnCPU([i])&&n!=null){let p=o.texData.get(i.dataId),d=n(p.values,l);return o.makeTensorInfo(i.shape,l,d)}let c=te().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,u;return c?u=new Iu(i.shape,t):u=new gs(i.shape,e),o.runWebGLProgram(u,[i],l)}}function sn({opSnippet:e,packedOpSnippet:t,checkOutOfBounds:n=!1,supportsComplex:a=!1,cpuKernelImpl:r,dtype:s}){return({inputs:i,backend:o})=>{let{a:l,b:c}=i,u=o;if(a&&l.dtype==="complex64"){let m=u.texData.get(l.dataId),f=u.texData.get(c.dataId),[g,y]=[[m.complexTensorInfos.real,f.complexTensorInfos.real],[m.complexTensorInfos.imag,f.complexTensorInfos.imag]].map(v=>{let[x,N]=v,T={dataId:x.dataId,dtype:x.dtype,shape:l.shape},C={dataId:N.dataId,dtype:N.dtype,shape:c.shape}, $ =new Nu(e,l.shape,c.shape);return u.runWebGLProgram( $ ,[T,C],ha(x.dtype,N.dtype))}),b=ys({inputs:{real:g,imag:y},backend:u});return u.disposeIntermediateTensorInfo(g),u.disposeIntermediateTensorInfo(y),b}let p=s||ha(l.dtype,c.dtype);if(u.shouldExecuteOnCPU([l,c])&&r!=null){let m=u.texData.get(l.dataId),f=u.texData.get(c.dataId),[g,y]=r(l.shape,c.shape,m.values,f.values,p),b=u.makeTensorInfo(y,p),v=u.texData.get(b.dataId);return v.values=g,b}let d=te().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,h;return d?h=new Ap(t,l.shape,c.shape,n):h=new Nu(e,l.shape,c.shape),u.runWebGLProgram(h,[l,c],p)}}function sf(e,t=!1){if(e==="linear")return t?pX:oX;if(e==="relu")return t?hX:uX;if(e==="elu")return t?dX:lX;if(e==="relu6")return t?mX:cX;if(e==="prelu")return t?SS:TS;if(e==="leakyrelu")return t?NS:IS;throw new Error( ` Activation $ { e } has not been implemented for the WebGL backend . ` )}var _S=class{constructor(e,t,n,a=!1,r=!1,s=!1,i=null,o=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n;let c=a?e[1]:e[2],u=Math.ceil(c/2),p=a?"i * 2, rc.y":"rc.y, i * 2",d=r?"rc.z, i * 2":"i * 2, rc.z",h=a?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],m=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],f="",g="";i&&(o?f= ` vec4 activation ( vec4 a ) {
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vec4 b = getPreluActivationWeightsAtOutCoords ( ) ;
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$ { i }
} ` :l?f= ` vec4 activation ( vec4 a ) {
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vec4 b = getLeakyreluAlphaAtOutCoords ( ) ;
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$ { i }
} ` :f= ` vec4 activation ( vec4 x ) {
$ { i }
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} ` ,g="result = activation(result);");let y=s?"result += getBiasAtOutCoords();":"";s&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),l&&this.variableNames.push("leakyreluAlpha");let b="rc.x",v="rc.x";e[0]<t[0]?b= ` int ( min ( float ( rc . x ) , $ { e [ 0 ] - 1 } . ) ) ` :t[0]<e[0]&&(v= ` int ( min ( float ( rc . x ) , $ { t [ 0 ] - 1 } . ) ) ` ),this.userCode= `
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$ { f }
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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 ++ ) {
int batchA = $ { b } ;
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int batchB = $ { v } ;
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vec4 a = getMatrixA ( batchA , $ { p } ) ;
vec4 b = getMatrixB ( batchB , $ { d } ) ;
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// These swizzled products need to be separately added.
// See: https://github.com/tensorflow/tfjs/issues/1735
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result += ( $ { h [ 0 ] } * $ { m [ 0 ] } ) ;
result += ( $ { h [ 1 ] } * $ { m [ 1 ] } ) ;
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}
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return result ;
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}
void main ( ) {
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ivec3 rc = getOutputCoords ( ) ;
vec4 result = dot2x2ARowBCol ( rc ) ;
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$ { y }
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$ { g }
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setOutput ( result ) ;
}
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` }},ES={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},AS=class{constructor(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=E.assertAndGetBroadcastShape(t,n),this.userCode= `
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float binaryOpComplex (
float areal , float aimag , float breal , float bimag ) {
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$ { e }
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}
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void main ( ) {
float areal = getARealAtOutCoords ( ) ;
float aimag = getAImagAtOutCoords ( ) ;
float breal = getBRealAtOutCoords ( ) ;
float bimag = getBImagAtOutCoords ( ) ;
setOutput ( binaryOpComplex ( areal , aimag , breal , bimag ) ) ;
}
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` }},FS="return a * b;";function $ S(e){let{inputs:t,backend:n}=e,{a,b:r}=t,s=E.upcastType(a.dtype,r.dtype);if(a.dtype==="complex64"){let o=n.texData.get(a.dataId),l=n.texData.get(r.dataId),c=new AS(ES.REAL,a.shape,r.shape),u=new AS(ES.IMAG,a.shape,r.shape),p=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:a.shape},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:a.shape},{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:r.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:r.shape}],d=n.runWebGLProgram(c,p,"float32"),h=n.runWebGLProgram(u,p,"float32"),m=ys({inputs:{real:d,imag:h},backend:n});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(h),m}if(n.shouldExecuteOnCPU([a,r])){let o=n.texData.get(a.dataId),l=n.texData.get(r.dataId),[c,u]=zK(a.shape,r.shape,o.values,l.values,s),p=n.makeTensorInfo(u,s),d=n.texData.get(p.dataId);return d.values=c,p}let i;return te().getBool("WEBGL_PACK_BINARY_OPERATIONS")?i=new Ap(FS,a.shape,r.shape):i=new Nu(FS,a.shape,r.shape),n.runWebGLProgram(i,[a,r],s)}var MX={kernelName:ri,backendName:"webgl",kernelFunc: $ S};function RX(e,t,n){let a=[yu(e.shape),...bu(e.shape)],r={dtype:e.dtype,shape:a,dataId:e.dataId},s=[yu(t),...bu(t)],i=new yS(s,a),o=!0,l=n.runWebGLProgram(i,[r],e.dtype,null,o);return{dataId:l.dataId,shape:t,dtype:l.dtype}}function ve(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{shape:s}=a,i=n,o=k.sizeFromShape(r.shape),l=k.inferFromImplicitShape(s,o),c=k.sizeFromShape(l);k.assert(o===c,()=> ` The new shape ( $ { l } ) has $ { c } elements and the old shape ( $ { r . shape } ) has $ { o } elements . The new shape and old shape must have the same number of elements . ` );let u=i.texData.get(r.dataId);return u.isPacked&&!nf(r.shape,l)&&!(u.texture!==null&&nf(u.shape,l))?RX(r,l,i):(i.incRef(r.dataId),{dataId:r.dataId,shape:l,dtype:r.dtype})}var PX={kernelName:Nl,backendName:"webgl",kernelFunc:ve},DS=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:a,inSize:r,outSize:s}=e;this.outputShape=[a,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 * $ { k . isInt ( u ) ? u . toPrecision ( 2 ) : u } , ones ) ; ` }let c="";r%n>0&&(c= `
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if ( inIdx < 0 || inIdx >= $ { r } ) {
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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 ) ;
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}
void main ( ) {
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ivec2 coords = getOutputCoords ( ) ;
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int batch = coords [ 0 ] ;
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int outIdx = coords [ 1 ] ;
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int inOffset = outIdx * $ { n } ;
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float sumValue = 0.0 ;
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for ( int i = 0 ; i < $ { i } ; 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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$ { l }
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}
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int inIdx = inOffset + $ { i } ;
if ( $ { o === 1 } ) {
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vec4 values = vec4 ( getValue ( batch , inIdx ) , 0.0 , 0.0 , 0.0 ) ;
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$ { l }
} else if ( $ { o === 2 } ) {
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vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) , 0.0 , 0.0 ) ;
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$ { l }
} else if ( $ { o === 3 } ) {
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vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) , 0.0 ) ;
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$ { l }
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}
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setOutput ( sumValue ) ;
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}
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` }},OX=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:a,inSize:r,outSize:s}=e;this.outputShape=[a,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,p= `
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if ( $ { t === "sum" } ) {
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sumValue += dot ( values , ones ) ;
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} else if ( $ { t === "prod" } ) {
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vec2 tmp = vec2 ( values [ 0 ] , values [ 1 ] ) * vec2 ( values [ 2 ] , values [ 3 ] ) ;
prodValue *= tmp [ 0 ] * tmp [ 1 ] ;
} else {
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minMaxValue = $ { o } ( values , minMaxValue ) ;
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}
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` ,d="vec4";t==="all"?(i="1.0",p= `
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bool reducedAllValue = all ( values ) ;
float floatedReducedAllValue = float ( reducedAllValue ) ;
allValue = float ( allValue >= 1.0 && floatedReducedAllValue >= 1.0 ) ;
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` ,d="bvec4"):t==="any"&&(i="0.0",p= `
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bool reducedAnyValue = any ( values ) ;
float floatedReducedAnyValue = float ( reducedAnyValue ) ;
anyValue = float ( anyValue >= 1.0 || floatedReducedAnyValue >= 1.0 ) ;
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` ,d="bvec4");let h="";r%n>0&&(h= `
if ( inIdx < 0 || inIdx >= $ { r } ) {
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return initializationValue ;
}
` ),this.userCode= `
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const float initializationValue = $ { i } ;
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const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
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float getValue ( int batch , int inIdx ) {
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$ { h }
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return getX ( batch , inIdx ) ;
}
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
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int inOffset = outIdx * $ { n } ;
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vec4 minMaxValue = vec4 ( $ { i } ) ;
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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 ;
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$ { d } values = $ { d } (
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getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
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$ { p }
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}
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int inIdx = inOffset + $ { c } ;
if ( $ { u === 1 } ) {
$ { d } values = $ { d } (
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getValue ( batch , inIdx ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
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$ { p }
} else if ( $ { u === 2 } ) {
$ { d } values = $ { d } (
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getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
initializationValue ,
initializationValue
) ;
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$ { p }
} else if ( $ { u === 3 } ) {
$ { d } values = $ { d } (
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getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
initializationValue
) ;
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$ { p }
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}
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setOutput ( $ { l } ) ;
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}
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` }};function LX(e){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let n=t.length?t[t.length-1].outSize:e[1],a=E.computeOptimalWindowSize(n);t.push({inSize:n,windowSize:a,outSize:Math.ceil(n/a)})}return t}function Qi(e,t,n,a){let r=LX(e.shape),s=e;for(let i=0;i<r.length;i++){let{inSize:o,windowSize:l,outSize:c}=r[i],u,p;n==="mean"?u=i===0?new DS({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:c},o):new DS({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:c}):u=new OX({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:c},n),p=s,s=a.runWebGLProgram(u,[s],t),p.dataId!==e.dataId&&a.disposeIntermediateTensorInfo(p)}return s}var BX=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 a=gt(this.rank),r=zX(t);this.userCode= `
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void main ( ) {
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$ { a } resRC = getOutputCoords ( ) ;
setOutput ( getA ( $ { r } ) ) ;
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}
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` }};function zX(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"],a=new Array(t);for(let r=0;r<e.length;r++)a[e[r]]=n[r];return a.join()}var WX=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 a=gt(this.rank),r=gS("rc",this.rank),s=new Array(this.rank);for(let c=0;c<t.length;c++)s[t[c]]=r[c];let i= ` vec2 ( $ { s . slice ( - 2 ) . join ( ) } ) ` ,o= ` ++ $ { r [ this . rank - 1 ] } < $ { n [ this . rank - 1 ] } ` ,l= ` getChannel ( getA ( $ { s . join ( ) } ) , $ { i } ) ` ;this.userCode= `
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void main ( ) {
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$ { a } rc = getOutputCoords ( ) ;
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vec4 result = vec4 ( 0. ) ;
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result [ 0 ] = $ { l } ;
if ( $ { o } ) {
result [ 1 ] = $ { l } ;
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}
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-- $ { r [ this . rank - 1 ] } ;
if ( ++ $ { r [ this . rank - 2 ] } < $ { n [ this . rank - 2 ] } ) {
result [ 2 ] = $ { l } ;
if ( $ { o } ) {
result [ 3 ] = $ { l } ;
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}
}
setOutput ( result ) ;
}
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` }};function of(e,t,n){let a=te().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new WX(e.shape,t):new BX(e.shape,t);return n.runWebGLProgram(a,[e],e.dtype)}function VX(e,t,n,a){let r=t,s=e.shape.length,i=k.parseAxisParam(r,e.shape),o=i,l=E.getAxesPermutation(o,s),c=l!=null,u=e;c&&(u=of(e,l,a),o=E.getInnerMostAxes(o.length,s)),E.assertAxesAreInnerMostDims("sum",o,s);let[p,d]=E.computeOutAndReduceShapes(u.shape,o),h=p;n&&(h=E.expandShapeToKeepDim(p,i));let m=k.sizeFromShape(d),f=k.sizeFromShape(e.shape)/m,g=ve({inputs:{x:u},attrs:{shape:[f,m]},backend:a}),y=bh(e.dtype),b=Qi(g,y,"sum",a),v=ve({inputs:{x:b},attrs:{shape:h},backend:a});return a.disposeIntermediateTensorInfo(g),a.disposeIntermediateTensorInfo(b),c&&a.disposeIntermediateTensorInfo(u),v}function Zv(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a;return VX(r,s,i,n)}var UX={kernelName:bi,backendName:"webgl",kernelFunc:Zv};function Cn(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{perm:s}=a,i=n,o=r.shape.length,l=new Array(o);for(let u=0;u<l.length;u++)l[u]=r.shape[s[u]];let c;if(i.shouldExecuteOnCPU([r])){let u=i.texData.get(r.dataId).values,p=Yv(u,r.shape,r.dtype,s,l);c=i.makeTensorInfo(l,r.dtype);let d=i.texData.get(c.dataId);d.values=p}else c=of(r,s,i);return c}var GX={kernelName:Ii,backendName:"webgl",kernelFunc:Cn},MS=1e3;function lf({a:e,b:t,transposeA:n,transposeB:a,backend:r,bias:s=null,preluActivationWeights:i=null,leakyreluAlpha:o=0,activation:l=null}){let c=e.shape.length,u=t.shape.length,p=n?e.shape[c-2]:e.shape[c-1],d=a?t.shape[u-1]:t.shape[u-2],h=n?e.shape[c-1]:e.shape[c-2],m=a?t.shape[u-2]:t.shape[u-1],f=e.shape.slice(0,-2),g=t.shape.slice(0,-2),y=k.sizeFromShape(f),b=k.sizeFromShape(g),v=y===b||y===1||b===1;k.assert(c>=2&&u>=2&&v,()=> ` 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 ( $ { f } ) and ( $ { g } ) . ` );let x=(y>b?e.shape.slice(0,-2):t.shape.slice(0,-2)).concat([h,m]);k.assert(p===d,()=> ` Error in matMul : inner shapes ( $ { p } ) and ( $ { d } ) of Tensors with shapes $ { e . shape } and $ { t . shape } and transposeA = $ { n } and transposeB = $ { a } must match . ` );let N=n?[y,p,h]:[y,h,p],T=a?[b,m,d]:[b,d,m],C=ve({inputs:{x:e},backend:r,attrs:{shape:N}}), $ =ve({inputs:{x:t},backend:r,attrs:{shape:T}}),F=[C, $ ],O=Math.max(y,b),W=n?C.shape[1]:C.shape[2],V=s!=null,H=i!=null,K=l==="leakyrelu",j=l!=null?sf(l,!0):null,Y=V||H||K||j!=null,J;if((h===1||m===1)&&W>MS&&Y===!1){let Q=C,ie= $ ;n&&(Q=Cn({inputs:{x:C},backend:r,attrs:{perm:[0,2,1]}}),F.push(Q)),a&&(ie=Cn({inputs:{x: $ },backend:r,attrs:{perm:[0,2,1]}}),F.push(ie));let ee=m!==1,le=m===1,se=Q;ee&&(se=ve({inputs:{x:Q},backend:r,attrs:{shape:[O,W,1]}}),F.push(se));let ce=m===1?2:1,de=ie;le&&(de=ve({inputs:{x:ie},backend:r,attrs:{shape:[O,1,W]}}),F.push(de));let fe= $ S({inputs:{a:se,b:de},backend:r});J=Zv({inputs:{x:fe},backend:r,attrs:{axis:ce,keepDims:!0}}),F.push(fe)}else{let Q=ha(e.dtype,t.dtype),ie=new _S(N,T,[O,h,m],n,a,V,j,H,K),ee=[C, $ ];if(s!=null&&ee.push(s),H&&ee.push(i),K){let le=r.makeTensorInfo([],"float32",k.createScalarValue(o,"float32"));ee.push(le),F.push(le)}J=r.runWebGLProgram(ie,ee,Q)}let ne=ve({inputs:{x:J},backend:r,attrs:{shape:x}});F.push(J);for(let Q of F)r.disposeIntermediateTensorInfo(Q);return ne}function HX(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t,{transposeA:l,transposeB:c,activation:u,leakyreluAlpha:p}=a;return lf({a:r,b:s,transposeA:l,transposeB:c,backend:n,bias:i,preluActivationWeights:o,leakyreluAlpha:p,activation:u})}var jX={kernelName:Ni,backendName:"webgl",kernelFunc:HX},RS="return abs(x);";function qX(e){let{inputs:t,backend:n}=e,{x:a}=t;if(n.shouldExecuteOnCPU([a])&&a.dtype!=="complex64"){let s=n.texData.get(a.dataId),i=fS(s.values);return n.makeTensorInfo(a.shape,a.dtype,i)}let r;return te().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new Iu(a.shape,RS):r=new gs(a.shape,RS),n.runWebGLProgram(r,[a],a.dtype)}var KX={kernelName:Lo,backendName:"webgl",kernelFunc:qX},XX=La+ `
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if ( abs ( x ) > 1. ) {
return NAN ;
}
return acos ( x ) ;
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` ,YX=Je({opSnippet:XX}),JX={kernelName:zo,backendName:"webgl",kernelFunc:YX},ZX=La+ `
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if ( x < 1.0 ) return NAN ;
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return log ( x + sqrt ( x * x - 1.0 ) ) ; ` ,QX=Je({opSnippet:ZX}),eY={kernelName:Bo,backendName:"webgl",kernelFunc:QX},PS="return a + b;",tY=sn({opSnippet:PS,packedOpSnippet:PS,supportsComplex:!0,cpuKernelImpl:NK}),nY={kernelName:Hr,backendName:"webgl",kernelFunc:tY},aY=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((r,s)=> ` T$ { s } ` );let n=[];this.variableNames.forEach(r=>{n.push( ` float v$ { r } = get$ { r } AtOutCoords ( ) ; ` )});let a=this.variableNames.map(r=> ` v$ { r } ` ).join(" + ");this.userCode= `
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void main ( ) {
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$ { n . join ( `
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` )}
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float result = $ { a } ;
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setOutput ( result ) ;
}
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` }},rY=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((r,s)=> ` T$ { s } ` );let n=[];this.variableNames.forEach(r=>{n.push( ` vec4 v$ { r } = get$ { r } AtOutCoords ( ) ; ` )});let a=this.variableNames.map(r=> ` v$ { r } ` ).join(" + ");this.userCode= `
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void main ( ) {
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$ { n . join ( `
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` )}
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vec4 result = $ { a } ;
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setOutput ( result ) ;
}
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` }};function uf(e){let{inputs:t,backend:n}=e,a=t;if(a.length===1)return Wn({inputs:{x:a[0]},backend:n});if(a.length>te().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let o=Math.floor(a.length/2),l=uf({inputs:a.slice(0,o),backend:n}),c=uf({inputs:a.slice(o),backend:n});return uf({inputs:[l,c],backend:n})}let r=a.map(o=>o.dtype).reduce((o,l)=>ha(o,l)),s=a.map(o=>o.shape),i=te().getBool("WEBGL_PACK")?new rY(a[0].shape,s):new aY(a[0].shape,s);return n.runWebGLProgram(i,a,r)}var sY={kernelName:Ms,backendName:"webgl",kernelFunc:uf};function iY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=k.parseAxisParam(s,r.shape),c=l,u=E.getAxesPermutation(c,o),p=r;u!=null&&(p=Cn({inputs:{x:r},backend:n,attrs:{perm:u}}),c=E.getInnerMostAxes(c.length,o)),E.assertAxesAreInnerMostDims("all",c,o);let[d,h]=E.computeOutAndReduceShapes(p.shape,c),m=k.sizeFromShape(h),f=ve({inputs:{x:p},backend:n,attrs:{shape:[-1,m]}}),g=Qi(f,f.dtype,"all",n),y;if(i){let b=E.expandShapeToKeepDim(d,l);y=ve({inputs:{x:g},backend:n,attrs:{shape:b}})}else y=ve({inputs:{x:g},backend:n,attrs:{shape:d}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),u!=null&&n.disposeIntermediateTensorInfo(p),y}var oY={kernelName:Od,backendName:"webgl",kernelFunc:iY};function lY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=k.parseAxisParam(s,r.shape),c=l,u=E.getAxesPermutation(c,o),p=r;u!=null&&(p=Cn({inputs:{x:r},backend:n,attrs:{perm:u}}),c=E.getInnerMostAxes(c.length,o)),E.assertAxesAreInnerMostDims("any",c,o);let[d,h]=E.computeOutAndReduceShapes(p.shape,c),m=k.sizeFromShape(h),f=ve({inputs:{x:p},backend:n,attrs:{shape:[-1,m]}}),g=Qi(f,f.dtype,"any",n),y;if(i){let b=E.expandShapeToKeepDim(d,l);y=ve({inputs:{x:g},backend:n,attrs:{shape:b}})}else y=ve({inputs:{x:g},backend:n,attrs:{shape:d}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),u!=null&&n.disposeIntermediateTensorInfo(p),y}var uY={kernelName:Ld,backendName:"webgl",kernelFunc:lY},cY=class{constructor(e,t,n){this.variableNames=["A"];let{windowSize:a,batchSize:r,outSize:s}=e;n||this.variableNames.push("bestIndicesA"),this.outputShape=[r,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 ] ;
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int inOffset = outIdx * $ { a } ;
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int bestIndex = inOffset ;
float bestValue = getA ( batch , bestIndex ) ;
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for ( int i = 0 ; i < $ { a } ; i ++ ) {
int inIdx = $ { o } ;
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float candidate = getA ( batch , inIdx ) ;
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if ( candidate $ { i } bestValue ) {
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bestValue = candidate ;
bestIndex = inIdx ;
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}
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}
setOutput ( float ( bestIndex ) ) ;
}
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` }},pY=class{constructor(e,t,n,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,k.assert(e.length>2,()=> ` Packed arg$ { n . charAt ( 0 ) . toUpperCase ( ) + n . slice ( 1 ) } supports only inputs with rank above 2. ` );let r=e[e.length-1],s=Math.ceil(r/t);this.outputShape=e.slice(0,-1),s>1&&this.outputShape.push(s),a||this.variableNames.push("bestIndicesA");let i=this.outputShape,o=i.length,l=gt(o),c=gn("coords",o),u,p;if(s===1){p=o+1;let C=gt(p);u= `
$ { C } sourceLocR = $ { C } ( $ { c . join ( ) } , 0 ) ;
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++ $ { c [ o - 1 ] } ;
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$ { C } sourceLocG = $ { C } ( $ { c . join ( ) } , 0 ) ;
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++ $ { c [ o - 2 ] } ;
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$ { C } sourceLocA = $ { C } ( $ { c . join ( ) } , 0 ) ;
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-- $ { c [ o - 1 ] } ;
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$ { C } sourceLocB = $ { C } ( $ { c . join ( ) } , 0 ) ;
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-- $ { c [ o - 2 ] } ; ` }else p=o,u= `
$ { l } sourceLocR = coords ;
++ $ { c [ o - 1 ] } ;
$ { l } sourceLocG = coords ;
++ $ { c [ o - 2 ] } ;
$ { l } sourceLocA = coords ;
-- $ { c [ o - 1 ] } ;
$ { l } sourceLocB = coords ;
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-- $ { c [ o - 2 ] } ; ` ;let d=["x","y","z","w","u","v"].slice(0,p),h="."+d[p-1],m=d.map(C=>"int "+C),f=gn("sourceLocR",p-1).concat("inIdx.r"),g=gn("sourceLocG",p-1).concat("inIdx.g"),y=gn("sourceLocB",p-1).concat("inIdx.b"),b=gn("sourceLocA",p-1).concat("inIdx.a"),v=n==="max"?"greaterThan":"lessThan",x=a?"": `
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inIdx = round ( vec4 ( getBestIndicesAChannel ( $ { f . join ( ) } ) ,
getBestIndicesAChannel ( $ { g . join ( ) } ) ,
getBestIndicesAChannel ( $ { y . join ( ) } ) ,
getBestIndicesAChannel ( $ { b . join ( ) } ) ) ) ; ` ,N= ` vec4 (
getAChannel ( $ { f . join ( ) } ) ,
hasNextCol ? getAChannel ( $ { g . join ( ) } ) : 0. ,
hasNextRow ? getAChannel ( $ { y . join ( ) } ) : 0. ,
hasNextRow && hasNextCol ? getAChannel ( $ { b . join ( ) } ) : 0. ) ` ,T=a?"": `
float getBestIndicesAChannel ( $ { m . join ( ) } ) {
return getChannel ( getBestIndicesA ( $ { d . join ( ) } ) ,
vec2 ( $ { d . slice ( - 2 ) . join ( ) } ) ) ;
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} ` ;this.userCode= `
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float getAChannel ( $ { m . join ( ) } ) {
return getChannel ( getA ( $ { d . join ( ) } ) ,
vec2 ( $ { d . slice ( - 2 ) . join ( ) } ) ) ;
}
$ { T }
void main ( ) {
$ { l } coords = getOutputCoords ( ) ;
bool hasNextCol = $ { c [ o - 1 ] } < $ { i [ o - 1 ] - 1 } ;
bool hasNextRow = $ { c [ o - 2 ] } < $ { i [ o - 2 ] - 1 } ;
$ { u }
ivec4 srcIdx = ivec4 ( sourceLocR$ { h } , sourceLocG$ { h } ,
sourceLocB$ { h } , sourceLocA$ { h } ) * $ { t } ;
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ivec4 inIdx = srcIdx ;
vec4 bestIndex = vec4 ( inIdx ) ;
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vec4 bestValue = $ { N } ;
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for ( int i = 0 ; i < $ { t } ; i ++ ) {
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inIdx = srcIdx ;
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$ { x }
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vec4 candidate = $ { N } ;
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bvec4 nan = isnan ( candidate ) ;
bvec4 replace = bvec4 (
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vec4 ( $ { v } ( 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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}
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` }};function OS(e,t,n,a=null){let r=t.shape[0],s=t.shape[1];a!=null&&(r=a.shape[0],s=a.shape[1]);let i=E.computeOptimalWindowSize(s),o={windowSize:i,inSize:s,batchSize:r,outSize:Math.ceil(s/i)},l=new cY(o,n,a==null),c=[t];a!=null&&c.push(a);let u=e.runWebGLProgram(l,c,"int32");if(u.shape[1]===1)return u;let p=OS(e,t,n,u);return e.disposeIntermediateTensorInfo(u),p}function LS(e,t,n,a=null){let r=a!=null?a.shape:t.shape,s=r[r.length-1],i=E.computeOptimalWindowSize(s),o=new pY(r,i,n,a==null),l=a==null?[t]:[t,a],c=e.runWebGLProgram(o,l,"int32");if(c.shape.length===t.shape.length){let u=LS(e,t,n,c);return e.disposeIntermediateTensorInfo(c),u}return c}function zS(e,t,n,a){let r=[n];if(E.assertAxesAreInnerMostDims("arg"+a.charAt(0).toUpperCase()+a.slice(1),r,t.shape.length),!te().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let s=[],[i,o]=E.computeOutAndReduceShapes(t.shape,r),l=k.sizeFromShape(o),c=ve({inputs:{x:t},backend:e,attrs:{shape:[-1,l]}});s.push(c);let u=OS(e,c,a);s.push(u);let p=ve({inputs:{x:u},backend:e,attrs:{shape:i}});return s.forEach(d=>e.disposeIntermediateTensorInfo(d)),p}return LS(e,t,a)}function dY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a,i=k.parseAxisParam(s,r.shape),o=E.getAxesPermutation(i,r.shape.length),l=r,c=[];o!=null&&(l=Cn({inputs:{x:r},backend:n,attrs:{perm:o}}),c.push(l),i=E.getInnerMostAxes(i.length,l.shape.length)),E.assertAxesAreInnerMostDims("argMax",[i[0]],l.shape.length);let u=zS(n,l,i[0],"max");return c.forEach(p=>n.disposeIntermediateTensorInfo(p)),u}var hY={kernelName:Rs,backendName:"webgl",kernelFunc:dY};function mY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a,i=k.parseAxisParam(s,r.shape),o=E.getAxesPermutation(i,r.shape.length),l=r,c=[];o!=null&&(l=Cn({inputs:{x:r},backend:n,attrs:{perm:o}}),c.push(l),i=E.getInnerMostAxes(i.length,l.shape.length)),E.assertAxesAreInnerMostDims("argMin",[i[0]],l.shape.length);let u=zS(n,l,i[0],"min");return c.forEach(p=>n.disposeIntermediateTensorInfo(p)),u}var fY={kernelName:fc,backendName:"webgl",kernelFunc:mY},gY=La+ `
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if ( abs ( x ) > 1. ) {
return NAN ;
}
return asin ( x ) ;
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` ,yY=Je({opSnippet:gY}),bY={kernelName:Wo,backendName:"webgl",kernelFunc:yY},xY=La+"return log(x + sqrt(x * x + 1.0));",vY=Je({opSnippet:xY}),wY={kernelName:Vo,backendName:"webgl",kernelFunc:vY},kY=La+ `
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return atan ( x ) ;
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` ,IY=Je({opSnippet:kY}),NY={kernelName:Uo,backendName:"webgl",kernelFunc:IY},TY= $ X+ `
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return atan ( a , b ) ;
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` ,SY= `
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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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` +DX+ `
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return result ;
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` ,CY=sn({opSnippet:TY,packedOpSnippet:SY}),_Y={kernelName:Ho,backendName:"webgl",kernelFunc:CY},EY=La+ `
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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 ; ` ,AY=Je({opSnippet:EY}),FY={kernelName:Go,backendName:"webgl",kernelFunc:AY},Fp=class{constructor(e,t,n,a=!1,r=!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,p=e.effectiveFilterWidth,d=e.padInfo.top,h=e.padInfo.left;this.outputShape=e.outShape;let m=t==="avg",f= ` ( ( batch * $ { e . inHeight } + xR ) * $ { e . inWidth } + xC ) * $ { e . inChannels } + d ` ,g= ` ( xR * $ { e . inWidth } + xC ) * $ { e . inChannels } + d ` ,y="0.0";if(m||(y="-1.0 / 1e-20"),n){let C=">=";this.userCode= `
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const ivec2 strides = ivec2 ( $ { i } , $ { o } ) ;
const ivec2 pads = ivec2 ( $ { d } , $ { h } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d = coords [ 3 ] ;
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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 } ;
wR += $ { l } ) {
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int xR = xRCorner + wR ;
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if ( xR < 0 || xR >= $ { e . inHeight } ) {
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continue ;
}
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for ( int wC = 0 ; wC < $ { p } ;
wC += $ { c } ) {
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int xC = xCCorner + wC ;
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if ( xC < 0 || xC >= $ { e . inWidth } ) {
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continue ;
}
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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 $ { C } currMinMaxValue ) {
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minMaxValue = value ;
minMaxValueFound = 1.0 ;
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minMaxPosition = $ { a ? r ? f : g : ` wR * ${ p } + 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 b="max",v= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="avg"&&(v="avgValue / count");let x=Math.floor(s/4)*4,N=s%4,T= `
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if ( $ { m } ) {
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avgValue += dot ( values , ones ) ;
} else {
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minMaxValue = $ { b } ( values , minMaxValue ) ;
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}
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` ;this.userCode= `
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const ivec2 strides = ivec2 ( $ { i } , $ { o } ) ;
const ivec2 pads = ivec2 ( $ { d } , $ { h } ) ;
const float initializationValue = $ { y } ;
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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 xR , int xC , int d ) {
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if ( xC < 0 || xC >= $ { e . inWidth } ) {
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return initializationValue ;
}
count += 1.0 ;
return getX ( batch , xR , xC , d ) ;
}
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
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int d = coords [ 3 ] ;
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ivec2 xRCCorner = coords . yz * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
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// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
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vec4 minMaxValue = vec4 ( $ { y } ) ;
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float avgValue = 0.0 ;
count = 0.0 ;
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for ( int wR = 0 ; wR < $ { u } ;
wR += $ { l } ) {
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int xR = xRCorner + wR ;
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if ( xR < 0 || xR >= $ { e . inHeight } ) {
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continue ;
}
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for ( int wC = 0 ; wC < $ { x } ; 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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) ;
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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 , xR , xC , d ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
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$ { T }
} else if ( $ { N === 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
) ;
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$ { T }
} else if ( $ { N === 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
) ;
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$ { T }
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}
}
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setOutput ( $ { v } ) ;
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}
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` }},Qv=class{constructor(e,t,n,a=!1,r=!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,p=e.dilationWidth,d=e.effectiveFilterDepth,h=e.effectiveFilterHeight,m=e.effectiveFilterWidth,f=e.padInfo.front,g=e.padInfo.top,y=e.padInfo.left;this.outputShape=e.outShape;let b=t==="avg",v="0.0";if(b||(v="-1.0 / 1e-20"),n){let F=">=";this.userCode= `
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const ivec3 strides =
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ivec3 ( $ { i } , $ { o } , $ { l } ) ;
const ivec3 pads = ivec3 ( $ { f } , $ { g } , $ { y } ) ;
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
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ivec3 xCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xDCorner = xCorner . x ;
int xRCorner = xCorner . y ;
int xCCorner = xCorner . z ;
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// 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 ;
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for ( int wD = 0 ; wD < $ { d } ;
wD += $ { c } ) {
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int xD = xDCorner + wD ;
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if ( xD < 0 || xD >= $ { e . inDepth } ) {
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continue ;
}
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for ( int wR = 0 ; wR < $ { h } ;
wR += $ { u } ) {
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int xR = xRCorner + wR ;
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if ( xR < 0 || xR >= $ { e . inHeight } ) {
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continue ;
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}
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for ( int wC = 0 ; wC < $ { m } ;
wC += $ { p } ) {
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int xC = xCCorner + wC ;
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if ( xC < 0 || xC >= $ { e . inWidth } ) {
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continue ;
}
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float value = getX ( batch , xD , xR , xC , ch ) ;
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// 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 $ { F } currMinMaxValue ) {
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minMaxValue = value ;
minMaxValueFound = 1.0 ;
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minMaxPosition = $ { a ? r ? ` (((batch * ${ e . inDepth } + xD) * ${ e . inHeight } + xR) * ${ e . inWidth } + xC) * ${ e . inChannels } + ch ` : ` ((xD * ${ e . inHeight } + xR) * ${ e . inWidth } + xC) * ${ e . inChannels } + ch ` : ` wD * ${ h } * ${ m } +
wR * $ { m } + 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 x="max",N= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="avg"&&(N="avgValue / count");let T=Math.floor(s/4)*4,C=s%4, $ = `
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if ( $ { b } ) {
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avgValue += dot ( values , ones ) ;
} else {
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minMaxValue = $ { x } ( values , minMaxValue ) ;
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}
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` ;this.userCode= `
const ivec3 strides =
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ivec3 ( $ { i } , $ { o } , $ { l } ) ;
const ivec3 pads = ivec3 ( $ { f } , $ { g } , $ { y } ) ;
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const float initializationValue = $ { v } ;
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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 ) {
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if ( xC < 0 || xC >= $ { e . inWidth } ) {
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return initializationValue ;
}
count += 1.0 ;
return getX ( batch , xD , xR , xC , ch ) ;
}
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
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int ch = coords . u ;
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ivec3 xCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xDCorner = xCorner . x ;
int xRCorner = xCorner . y ;
int xCCorner = xCorner . z ;
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// max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).
// ? = to be determined
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vec4 minMaxValue = vec4 ( $ { v } ) ;
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float avgValue = 0.0 ;
count = 0.0 ;
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for ( int wD = 0 ; wD < $ { d } ;
wD += $ { c } ) {
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int xD = xDCorner + wD ;
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if ( xD < 0 || xD >= $ { e . inDepth } ) {
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continue ;
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}
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for ( int wR = 0 ; wR < $ { h } ;
wR += $ { u } ) {
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int xR = xRCorner + wR ;
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if ( xR < 0 || xR >= $ { e . inHeight } ) {
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continue ;
}
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for ( int wC = 0 ; wC < $ { T } ; wC += 4 ) {
int xC = xCCorner + wC * $ { p } ;
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
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getValue ( batch , xD , xR , xC + $ { p } , ch ) ,
getValue ( batch , xD , xR , xC + 2 * $ { p } , ch ) ,
getValue ( batch , xD , xR , xC + 3 * $ { p } , ch )
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) ;
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$ { $ }
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}
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int xC = xCCorner + $ { T } ;
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if ( $ { C === 1 } ) {
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
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$ { $ }
} else if ( $ { C === 2 } ) {
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
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getValue ( batch , xD , xR , xC + $ { p } , ch ) ,
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initializationValue ,
initializationValue
) ;
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$ { $ }
} else if ( $ { C === 3 } ) {
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
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getValue ( batch , xD , xR , xC + $ { p } , ch ) ,
getValue ( batch , xD , xR , xC + 2 * $ { p } , ch ) ,
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initializationValue
) ;
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$ { $ }
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}
}
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setOutput ( $ { N } ) ;
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}
}
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` }};function $ Y(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;_p(r,"avgPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,c=1;k.assert(E.eitherStridesOrDilationsAreOne(i,c),()=> ` Error in avgPool : Either strides or dilations must be 1. Got strides $ { i } and dilations '${c}' ` );let u=E.computePool2DInfo(r.shape,s,i,c,o,l);if(u.filterWidth===1&&u.filterHeight===1&&k.arraysEqual(u.inShape,u.outShape))return Wn({inputs:{x:r},backend:n});let p=new Fp(u,"avg",!1);return n.runWebGLProgram(p,[r],"float32")}var DY={kernelName:Ps,backendName:"webgl",kernelFunc: $ Y};function MY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:c}=a,u=[1,1,1],p=E.computePool3DInfo(r.shape,s,i,u,o,l,c),d=new Qv(p,"avg",!1);return n.runWebGLProgram(d,[r],"float32")}var RY={kernelName:gc,backendName:"webgl",kernelFunc:MY},PY=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=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,p=1/(t*n);this.userCode= `
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const ivec2 pads = ivec2 ( $ { c } , $ { u } ) ;
const float avgMultiplier = float ( $ { p } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
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int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
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ivec2 dyRCCorner = coords . yz - pads ;
int dyRCorner = dyRCCorner . x ;
int dyCCorner = dyRCCorner . y ;
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// Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
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// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
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for ( int wR = 0 ; wR < $ { o } ;
wR += $ { s } ) {
float dyR = float ( dyRCorner + wR ) / $ { a } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
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continue ;
}
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int idyR = int ( dyR ) ;
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for ( int wC = 0 ; wC < $ { l } ;
wC += $ { i } ) {
float dyC = float ( dyCCorner + wC ) / $ { r } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
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fract ( dyC ) > 0.0 ) {
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continue ;
}
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int idyC = int ( dyC ) ;
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float dyValue = getDy ( b , idyR , idyC , d ) ;
dotProd += dyValue * avgMultiplier ;
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}
}
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setOutput ( dotProd ) ;
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}
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` }},OY=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,a=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,c=e.dilationWidth,u=e.effectiveFilterDepth,p=e.effectiveFilterHeight,d=e.effectiveFilterWidth,h=u-1-e.padInfo.front,m=p-1-e.padInfo.top,f=d-1-e.padInfo.left,g=1/(t*n*a);this.userCode= `
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const ivec3 pads = ivec3 ( $ { h } , $ { m } , $ { f } ) ;
const float avgMultiplier = float ( $ { g } ) ;
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
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ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
int dyDCorner = dyCorner . x ;
int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
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// 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 } ;
wD += $ { o } ) {
float dyD = float ( dyDCorner + wD ) / $ { r } . 0 ;
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if ( dyD < 0.0 || dyD >= $ { e . outDepth } . 0 || fract ( dyD ) > 0.0 ) {
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continue ;
}
int idyD = int ( dyD ) ;
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for ( int wR = 0 ; wR < $ { p } ;
wR += $ { l } ) {
float dyR = float ( dyRCorner + wR ) / $ { s } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 ||
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fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
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for ( int wC = 0 ; wC < $ { d } ;
wC += $ { c } ) {
float dyC = float ( dyCCorner + wC ) / $ { i } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
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fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
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float dyValue = getDy ( batch , idyD , idyR , idyC , ch ) ;
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dotProd += dyValue * avgMultiplier ;
}
}
}
setOutput ( dotProd ) ;
}
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` }};function LY(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s,{filterSize:o,strides:l,pad:c,dimRoundingMode:u}=a,p=[1,1,1],d=E.computePool3DInfo(i.shape,o,l,p,c,u),h=new OY(d);return n.runWebGLProgram(h,[r],i.dtype)}var zY={kernelName:Bd,backendName:"webgl",kernelFunc:LY};function BY(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s;_p([r,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:c}=a,u=E.computePool2DInfo(i.shape,o,l,1,c),p=new PY(u);return n.runWebGLProgram(p,[r],i.dtype)}var WY={kernelName:zd,backendName:"webgl",kernelFunc:BY};function VY(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=a;return lf({a:r,b:s,transposeA:i,transposeB:o,backend:n})}var UY={kernelName:Os,backendName:"webgl",kernelFunc:VY},GY=class{constructor(e,t,n,a,r,s){this.outputShape=[],this.variableNames=["x","mean","variance"],E.assertAndGetBroadcastShape(e,t),E.assertAndGetBroadcastShape(e,n);let i="0.0";a!=null&&(E.assertAndGetBroadcastShape(e,a),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="1.0";r!=null&&(E.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode= `
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void main ( ) {
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float x = getXAtOutCoords ( ) ;
float mean = getMeanAtOutCoords ( ) ;
float variance = getVarianceAtOutCoords ( ) ;
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float offset = $ { i } ;
float scale = $ { o } ;
float inv = scale * inversesqrt ( variance + float ( $ { s } ) ) ;
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setOutput ( dot ( vec3 ( x , - mean , offset ) , vec3 ( inv , inv , 1 ) ) ) ;
}
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` }},HY=class{constructor(e,t,n,a,r,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],E.assertAndGetBroadcastShape(e,t),E.assertAndGetBroadcastShape(e,n);let i="vec4(0.0)";a!=null&&(E.assertAndGetBroadcastShape(e,a),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="vec4(1.0)";r!=null&&(E.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode= `
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void main ( ) {
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vec4 offset = $ { i } ;
vec4 scale = $ { o } ;
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vec4 x = getXAtOutCoords ( ) ;
vec4 mean = getMeanAtOutCoords ( ) ;
vec4 variance = getVarianceAtOutCoords ( ) ;
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vec4 inv = scale * inversesqrt ( variance + vec4 ( $ { s } ) ) ;
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setOutput ( ( x - mean ) * inv + offset ) ;
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}
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` }},jY=({inputs:e,backend:t,attrs:n})=>{let{x:a,mean:r,variance:s,offset:i,scale:o}=e;k.assert(r.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),k.assert(i==null||r.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),k.assert(o==null||r.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=[a,r,s],u=null;i!=null&&(u=i.shape,c.push(i));let p=null;o!=null&&(p=o.shape,c.push(o));let d=te().getBool("WEBGL_PACK_NORMALIZATION")?new HY(a.shape,r.shape,s.shape,u,p,l):new GY(a.shape,r.shape,s.shape,u,p,l);return t.runWebGLProgram(d,c,c[0].dtype)},qY={kernelName:Ks,backendName:"webgl",kernelFunc:jY},XY=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=gt(this.rank),n= ` uniform int start [ $ { this . rank } ] ; ` ,a=KY(this.rank),r,s=e.map((i,o)=> ` sourceLoc . $ { ew [ o ] } = start [ $ { o } ] + coords . $ { ew [ o ] } ; ` );r= `
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$ { t } sourceLoc ;
$ { t } coords = getOutputCoords ( ) ;
$ { s . join ( `
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` )}
` ,this.userCode= `
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$ { n }
void main ( ) {
$ { r }
setOutput ( getSource ( $ { a } ) ) ;
}
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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)}}},ew=["x","y","z","w","u","v"];function KY(e){if(e===1)return"sourceLoc";if(e<=6)return ew.slice(0,e).map(t=>"sourceLoc."+t).join(",");throw Error( ` Slicing for rank $ { e } is not yet supported ` )}var YY=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length;let t=gt(this.rank),n=gn("coords",this.rank),a=gn("sourceLoc",this.rank),r=this.rank===1?"sourceLoc": ` vec2 ( $ { a . slice ( - 2 ) . join ( ) } ) ` ,s= ` getChannel ( getSource ( $ { a . join ( ) } ) , $ { r } ) ` ,i= `
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result . x = $ { s } ;
if ( ++ $ { n [ this . rank - 1 ] } < $ { e [ this . rank - 1 ] } ) {
++ $ { a [ this . rank - 1 ] } ;
result . y = $ { s } ;
-- $ { a [ this . rank - 1 ] } ;
}
` ,o=this.rank===1?"": `
-- $ { n [ this . rank - 1 ] } ;
if ( ++ $ { n [ this . rank - 2 ] } < $ { e [ this . rank - 2 ] } ) {
++ $ { a [ this . rank - 2 ] } ;
result . z = $ { s } ;
if ( ++ $ { n [ this . rank - 1 ] } < $ { e [ this . rank - 1 ] } ) {
++ $ { a [ this . rank - 1 ] } ;
result . w = $ { s } ;
}
}
` ,l=this.rank<=4? ` sourceLoc = coords +
$ { t } ( $ { e . map ( ( c , u ) => ` start[ ${ u } ] ` ) . join ( ) } ) ; ` :e.map((c,u)=> ` $ { a [ u ] } = $ { n [ u ] } + start [ $ { u } ] ; ` ).join( `
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` );this.userCode= `
uniform int start [ $ { this . rank } ] ;
void main ( ) {
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$ { t } coords = getOutputCoords ( ) ;
$ { t } sourceLoc ;
$ { l }
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vec4 result = vec4 ( 0. ) ;
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$ { i }
$ { o }
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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 JY(e,t,n,a){let r=a.texData.get(e.dataId),s=a.makeTensorInfo(n,e.dtype),i=a.texData.get(s.dataId);Object.assign(i,r),i.complexParentRefCount=0,i.refCount=1,i.shape=n,i.dtype=e.dtype;let o=dn.computeFlatOffset(t,k.computeStrides(e.shape));r.slice&&(o+=r.slice.flatOffset),i.slice={flatOffset:o,origDataId:r.slice&&r.slice.origDataId||e.dataId};let l=a.dataRefCount.get(i.slice.origDataId)||1;return a.dataRefCount.set(i.slice.origDataId,l+1),s}function $ p(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,size:i}=a,[o,l]=dn.parseSliceParams(r,s,i);if(dn.assertParamsValid(r,o,l),k.sizeFromShape(l)===0)return n.makeTensorInfo(l,r.dtype,[]);if(n.shouldExecuteOnCPU([r])||r.dtype==="string"){let p=n.texData.get(r.dataId),d=GK(p.values,o,l,r.shape,r.dtype);return n.makeTensorInfo(l,r.dtype,d)}let{isPacked:c}=n.texData.get(r.dataId),u=dn.isSliceContinous(r.shape,o,l);if(c||!u){let p=te().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new YY(l):new XY(l),d=p.getCustomSetupFunc(o);return n.runWebGLProgram(p,[r],r.dtype,d)}return n.uploadToGPU(r.dataId),JY(r,o,l,n)}var ZY={kernelName:_l,backendName:"webgl",kernelFunc: $ p},QY=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,crops:i}=a;k.assert(r.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((b,v)=>b*v),l=E.getReshaped(r.shape,s,o),c=E.getPermuted(l.length,s.length),u=E.getReshapedPermuted(r.shape,s,o),p=E.getSliceBeginCoords(i,s.length),d=E.getSliceSize(u,i,s.length),h=[],m=ve({inputs:{x:r},backend:n,attrs:{shape:l}}),f=Cn({inputs:{x:m},backend:n,attrs:{perm:c}}),g=ve({inputs:{x:f},backend:n,attrs:{shape:u}}),y= $ p({inputs:{x:g},backend:n,attrs:{begin:p,size:d}});return h.push(m),h.push(f),h.push(g),h.forEach(b=>n.disposeIntermediateTensorInfo(b)),y},e7={kernelName:yc,backendName:"webgl",kernelFunc:QY};function t7(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i}=a,o=n.readSync(r.dataId),l=n.readSync(s.dataId),c=mS(o,l,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,c)}var n7={kernelName:Wd,backendName:"webgl",kernelFunc:t7},a7="return float(a != b);",BS=sn({opSnippet:a7,dtype:"bool"}),r7={kernelName:gl,backendName:"webgl",kernelFunc:BS};function Dp(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.texData.get(a.dataId);return Wn({inputs:{x:r.complexTensorInfos.real},backend:n})}var s7={kernelName:lh,backendName:"webgl",kernelFunc:Dp},i7="return float(int(x));";function o7(e,t){let n=new gs(e.shape,i7),a=t.runWebGLProgram(n,[e],"int32");return{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}function tw(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dtype:s}=a;if(s==="complex64"){if(r.dtype==="complex64")return Wn({inputs:{x:r},backend:n});let i=xt(r.shape),o=tw({inputs:{x:r},backend:n,attrs:{dtype:"float32"}}),l=ys({inputs:{real:o,imag:i},backend:n});return i.dispose(),n.disposeIntermediateTensorInfo(o),l}if(r.dtype==="complex64"){let i=Dp({inputs:{input:r},backend:n}),o=tw({inputs:{x:i},backend:n,attrs:{dtype:s}});return n.disposeIntermediateTensorInfo(i),o}if(!k.hasEncodingLoss(r.dtype,s)){let i=Wn({inputs:{x:r},backend:n});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(s==="int32")return o7(r,n);if(s==="bool"){let i=n.makeTensorInfo([],"bool",k.getTypedArrayFromDType("bool",1)),o=BS({inputs:{a:r,b:i},backend:n});return n.disposeIntermediateTensorInfo(i),o}throw new Error( ` Error in Cast : failed to cast $ { r . dtype } to $ { s } ` )}var l7={kernelName:Ls,backendName:"webgl",kernelFunc:tw},WS="return ceil(x);",u7=Je({opSnippet:WS,packedOpSnippet:WS,cpuKernelImpl:SK}),c7={kernelName:jo,backendName:"webgl",kernelFunc:u7},p7=class{constructor(e){this.variableNames=["A"],this.outputShape=e,this.userCode= `
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uniform float minVal ;
uniform float maxVal ;
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void main ( ) {
float value = getAAtOutCoords ( ) ;
if ( isnan ( value ) ) {
setOutput ( value ) ;
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return ;
}
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setOutput ( clamp ( value , minVal , maxVal ) ) ;
}
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` }getCustomSetupFunc(e,t){return(n,a)=>{this.minLoc==null&&(this.minLoc=n.getUniformLocationNoThrow(a,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(a,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}},d7=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 ;
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void main ( ) {
vec4 value = getAAtOutCoords ( ) ;
if ( any ( isnan ( value ) ) ) {
setOutput ( value ) ;
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return ;
}
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setOutput ( clamp ( value , vec4 ( minVal ) , vec4 ( maxVal ) ) ) ;
}
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` }getCustomSetupFunc(e,t){return(n,a)=>{this.minLoc==null&&(this.minLoc=n.getUniformLocationNoThrow(a,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(a,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}};function h7(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=a,o;te().getBool("WEBGL_PACK_CLIP")?o=new d7(r.shape):o=new p7(r.shape);let l=o.getCustomSetupFunc(s,i);return n.runWebGLProgram(o,[r],r.dtype,l)}var m7={kernelName:jr,backendName:"webgl",kernelFunc:h7},f7=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 ) ;
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// 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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}
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` }};function VS(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}function g7(e){let{inputs:t,backend:n}=e,{x:a}=t,r=n.texData.get(a.dataId),s=new f7(a.shape),i=[VS(a,r.complexTensorInfos.real),VS(a,r.complexTensorInfos.imag)];return n.runWebGLProgram(s,i,i[0].dtype)}var y7={kernelName:bc,backendName:"webgl",kernelFunc:g7},b7=class{constructor(e){this.outputShape=[],this.outputShape=E.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 a=t.length,r=t[t.length-1];n.push( ` else setOutput ( getT$ { a } ( yR , yC - $ { r } ) ) ; ` ),this.userCode= `
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void main ( ) {
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ivec2 coords = getOutputCoords ( ) ;
int yR = coords . x ;
int yC = coords . y ;
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$ { n . join ( `
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` )}
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}
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` }},x7=class{constructor(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=E.computeOutShape(e,t);let n=this.outputShape,a=n.length,r=gt(a),s=gn("coords",a),i=["x","y","z","w","u","v"].slice(0,a);this.variableNames=e.map((m,f)=> ` T$ { f } ` );let o=new Array(e.length-1);o[0]=e[0][t];for(let m=1;m<o.length;m++)o[m]=o[m-1]+e[m][t];let l=i[t],c=i.slice(-2),u=i.join(),p= ` if ( $ { l } < $ { o [ 0 ] } ) {
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return getChannel (
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getT0 ( $ { u } ) , vec2 ( $ { c . join ( ) } ) ) ;
} ` ;for(let m=1;m<o.length;m++){let f=o[m-1];p+= `
if ( $ { l } < $ { o [ m ] } && $ { l } >= $ { o [ m - 1 ] } ) {
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return getChannel (
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getT$ { m } ( $ { cf ( i , l , f ) } ) ,
vec2 ( $ { cf ( c , l , f ) } ) ) ;
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} ` }let d=o.length,h=o[o.length-1];p+= `
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return getChannel (
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getT$ { d } ( $ { cf ( i , l , h ) } ) ,
vec2 ( $ { cf ( c , l , h ) } ) ) ; ` ,this.userCode= `
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float getValue ( $ { i . map ( m => "int " + m ) } ) {
$ { p }
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}
void main ( ) {
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$ { r } coords = getOutputCoords ( ) ;
vec4 result = vec4 ( getValue ( $ { s } ) , 0. , 0. , 0. ) ;
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$ { s [ a - 1 ] } = $ { s [ a - 1 ] } + 1 ;
if ( $ { s [ a - 1 ] } < $ { n [ a - 1 ] } ) {
result . g = getValue ( $ { s } ) ;
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}
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$ { s [ a - 2 ] } = $ { s [ a - 2 ] } + 1 ;
if ( $ { s [ a - 2 ] } < $ { n [ a - 2 ] } ) {
result . a = getValue ( $ { s } ) ;
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}
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$ { s [ a - 1 ] } = $ { s [ a - 1 ] } - 1 ;
if ( $ { s [ a - 2 ] } < $ { n [ a - 2 ] } &&
$ { s [ a - 1 ] } < $ { n [ a - 1 ] } ) {
result . b = getValue ( $ { s } ) ;
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}
setOutput ( result ) ;
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}
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` }};function cf(e,t,n){let a=e.indexOf(t);return e.map((r,s)=>s===a? ` $ { r } - $ { n } ` :r).join()}function pf(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.texData.get(a.dataId);return Wn({inputs:{x:r.complexTensorInfos.imag},backend:n})}var v7={kernelName:th,backendName:"webgl",kernelFunc:pf};function Tu(e,t,n){let a=e[0].dtype;if(a==="complex64"){let c=e.map(m=>Dp({inputs:{input:m},backend:n})),u=e.map(m=>pf({inputs:{input:m},backend:n})),p=Tu(c,t,n),d=Tu(u,t,n),h=ys({inputs:{real:p,imag:d},backend:n});return c.forEach(m=>n.disposeIntermediateTensorInfo(m)),u.forEach(m=>n.disposeIntermediateTensorInfo(m)),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(d),h}if(a==="string"){let{tensors2D:c,outShape:u}=US(e,t,n),p=c.map(g=>({vals:n.readSync(g.dataId),shape:g.shape})),d=c[0].shape[0]===1,h=CK(p,u,a,d),m=E.computeOutShape(e.map(g=>g.shape),t),f=n.makeTensorInfo(m,a,h);return c.forEach(g=>n.disposeIntermediateTensorInfo(g)),f}if(e.length>te().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){let c=Math.floor(e.length/2),u=Tu(e.slice(0,c),t,n),p=Tu(e.slice(c),t,n),d=Tu([u,p],t,n);return n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(p),d}if(te().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].shape.length>1){let c=new x7(e.map(u=>u.shape),t);return n.runWebGLProgram(c,e,a)}let{tensors2D:r,outShape:s}=US(e,t,n),i=new b7(r.map(c=>c.shape)),o=n.runWebGLProgram(i,r,a);r.forEach(c=>n.disposeIntermediateTensorInfo(c));let l=ve({inputs:{x:o},attrs:{shape:s},backend:n});return n.disposeIntermediateTensorInfo(o),l}function US(e,t,n){let a=E.computeOutShape(e.map(r=>r.shape),t);return{tensors2D:e.map(r=>ve({inputs:{x:r},attrs:{shape:[-1,k.sizeFromShape(r.shape.slice(t))]},backend:n})),outShape:a}}function GS(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a,s=k.parseAxisParam(r,t[0].shape)[0],i=E.computeOutShape(t.map(c=>c.shape),s);if(k.sizeFromShape(i)===0)return n.makeTensorInfo(i,t[0].dtype,[]);let o=t.filter(c=>k.sizeFromShape(c.shape)>0);if(o.length===1)return Wn({inputs:{x:o[0]},backend:n});let l=o.map(c=>c.shape);return E.assertParamsConsistent(l,s),Tu(o,s,n)}var w7={kernelName:qo,backendName:"webgl",kernelFunc:GS},HS=class{constructor(e,t=!1,n=null,a=!1,r=!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,p=e.filterHeight,d=e.filterWidth,h=Math.floor(e.inChannels/4)*4,m=e.inChannels%4,f=e.dataFormat==="channelsLast",g=f?1:2,y=f?2:3,b=f?3:1,v="",x="";n&&(a?v= ` float activation ( float a ) {
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float b = getPreluActivationWeightsAtOutCoords ( ) ;
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$ { n }
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} ` :r?v= ` float activation ( float a ) {
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float b = getLeakyreluAlphaAtOutCoords ( ) ;
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$ { n }
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} ` :v= `
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float activation ( float x ) {
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$ { n }
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}
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` ,x="result = activation(result);");let N=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
$ { v }
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const ivec2 strides = ivec2 ( $ { o } , $ { l } ) ;
const ivec2 pads = ivec2 ( $ { s } , $ { i } ) ;
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void main ( ) {
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ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
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int d2 = coords [ $ { b } ] ;
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ivec2 xRCCorner =
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ivec2 ( coords [ $ { g } ] , coords [ $ { y } ] ) * strides - pads ;
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int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
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// 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 ;
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for ( int wR = 0 ; wR < $ { p } ; wR ++ ) {
int xR = xRCorner + wR * $ { c } ;
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if ( xR < 0 || xR >= $ { e . inHeight } ) {
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continue ;
}
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for ( int wC = 0 ; wC < $ { d } ; wC ++ ) {
int xC = xCCorner + wC * $ { u } ;
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if ( xC < 0 || xC >= $ { e . inWidth } ) {
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continue ;
}
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for ( int d1 = 0 ; d1 < $ { h } ; d1 += 4 ) {
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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 )
) ;
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if ( $ { f } ) {
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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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if ( $ { m === 1 } ) {
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if ( $ { f } ) {
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dotProd +=
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getX ( batch , xR , xC , $ { h } ) *
getW ( wR , wC , $ { h } , d2 ) ;
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} else {
dotProd +=
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getX ( batch , $ { h } , xR , xC ) *
getW ( wR , wC , $ { h } , d2 ) ;
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}
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} else if ( $ { m === 2 } ) {
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vec2 wValues = vec2 (
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getW ( wR , wC , $ { h } , d2 ) ,
getW ( wR , wC , $ { h } + 1 , d2 )
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) ;
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if ( $ { f } ) {
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vec2 xValues = vec2 (
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getX ( batch , xR , xC , $ { h } ) ,
getX ( batch , xR , xC , $ { h } + 1 )
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) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec2 xValues = vec2 (
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getX ( batch , $ { h } , xR , xC ) ,
getX ( batch , $ { h } + 1 , xR , xC )
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) ;
dotProd += dot ( xValues , wValues ) ;
}
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} else if ( $ { m === 3 } ) {
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vec3 wValues = vec3 (
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getW ( wR , wC , $ { h } , d2 ) ,
getW ( wR , wC , $ { h } + 1 , d2 ) ,
getW ( wR , wC , $ { h } + 2 , d2 )
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) ;
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if ( $ { f } ) {
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vec3 xValues = vec3 (
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getX ( batch , xR , xC , $ { h } ) ,
getX ( batch , xR , xC , $ { h } + 1 ) ,
getX ( batch , xR , xC , $ { h } + 2 )
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) ;
dotProd += dot ( xValues , wValues ) ;
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} else {
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vec3 xValues = vec3 (
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getX ( batch , $ { h } , xR , xC ) ,
getX ( batch , $ { h } + 1 , xR , xC ) ,
getX ( batch , $ { h } + 2 , xR , xC )
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) ;
dotProd += dot ( xValues , wValues ) ;
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}
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}
}
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}
float result = dotProd ;
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$ { N }
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$ { x }
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setOutput ( result ) ;
}
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` }},k7=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,n=e.padInfo.top,a=e.padInfo.left,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,c=e.dilationWidth,u=e.filterDepth,p=e.filterHeight,d=e.filterWidth,h=Math.floor(e.inChannels/4)*4,m=e.inChannels%4;this.userCode= `
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const ivec3 strides = ivec3 ( $ { r } , $ { s } , $ { i } ) ;
const ivec3 pads = ivec3 ( $ { t } , $ { n } , $ { a } ) ;
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void main ( ) {
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ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int d2 = coords . u ;
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ivec3 xFRCCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xFCorner = xFRCCorner . x ;
int xRCorner = xFRCCorner . y ;
int xCCorner = xFRCCorner . z ;
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// 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 ++ ) {
int xF = xFCorner + wF * $ { o } ;
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if ( xF < 0 || xF >= $ { e . inDepth } ) {
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continue ;
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}
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for ( int wR = 0 ; wR < $ { p } ; wR ++ ) {
int xR = xRCorner + wR * $ { l } ;
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if ( xR < 0 || xR >= $ { e . inHeight } ) {
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continue ;
}
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for ( int wC = 0 ; wC < $ { d } ; wC ++ ) {
int xC = xCCorner + wC * $ { c } ;
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if ( xC < 0 || xC >= $ { e . inWidth } ) {
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continue ;
}
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for ( int d1 = 0 ; d1 < $ { h } ; d1 += 4 ) {
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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 ) ;
}
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if ( $ { m === 1 } ) {
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dotProd +=
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getX ( batch , xF , xR , xC , $ { h } ) *
getW ( wF , wR , wC , $ { h } , d2 ) ;
} else if ( $ { m === 2 } ) {
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vec2 xValues = vec2 (
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getX ( batch , xF , xR , xC , $ { h } ) ,
getX ( batch , xF , xR , xC , $ { h } + 1 )
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) ;
vec2 wValues = vec2 (
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getW ( wF , wR , wC , $ { h } , d2 ) ,
getW ( wF , wR , wC , $ { h } + 1 , d2 )
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) ;
dotProd += dot ( xValues , wValues ) ;
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} else if ( $ { m === 3 } ) {
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vec3 xValues = vec3 (
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getX ( batch , xF , xR , xC , $ { h } ) ,
getX ( batch , xF , xR , xC , $ { h } + 1 ) ,
getX ( batch , xF , xR , xC , $ { h } + 2 )
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) ;
vec3 wValues = vec3 (
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getW ( wF , wR , wC , $ { h } , d2 ) ,
getW ( wF , wR , wC , $ { h } + 1 , d2 ) ,
getW ( wF , wR , wC , $ { h } + 2 , d2 )
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) ;
dotProd += dot ( xValues , wValues ) ;
}
}
}
}
setOutput ( dotProd ) ;
}
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` }},I7=class{constructor(e,t,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let{filterWidth:a,inChannels:r,strideWidth:s,strideHeight:i,padInfo:o,outWidth:l,dilationWidth:c,dilationHeight:u,dataFormat:p}=n,{left:d,top:h}=o,m=r*a,f=fn(),g=p==="channelsLast",y=g?0:1,b=g?1:2,v="";for(let x=0;x<=1;x++)for(let N=0;N<=1;N++)v+= `
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blockIndex = rc . y + $ { N } ;
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pos = rc . x + $ { x } ;
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if ( blockIndex < $ { e [ 1 ] } && pos < $ { e [ 0 ] } ) {
offsetY = int ( blockIndex / ( $ { l } ) ) * $ { i } - $ { h } ;
d0 = offsetY + $ { u } * ( pos / $ { m } ) ;
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if ( d0 < $ { t [ y ] } && d0 >= 0 ) {
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offsetX = int ( mod ( float ( blockIndex ) , $ { l } . ) * $ { s } . - $ { d } . ) ;
d1 = offsetX + $ { c } * ( int ( mod ( float ( pos ) , $ { m } . ) / $ { r } . ) ) ;
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if ( d1 < $ { t [ b ] } && d1 >= 0 ) {
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ch = int ( mod ( float ( pos ) , $ { r } . ) ) ;
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if ( $ { g } ) {
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innerDims = vec2 ( d1 , ch ) ;
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result [ $ { x * 2 + N } ] = getChannel (
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getA ( d0 , int ( innerDims . x ) ,
int ( innerDims . y ) ) , innerDims ) ;
} else {
innerDims = vec2 ( d0 , d1 ) ;
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result [ $ { x * 2 + N } ] = getChannel (
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getA ( ch , int ( innerDims . x ) ,
int ( innerDims . y ) ) , innerDims ) ;
}
}
}
}
` ;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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$ { v }
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$ { f . output } = result ;
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}
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` }};function jS({x:e,filter:t,convInfo:n,backend:a,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let l=e.shape,c=a.texData.get(e.dataId),u=n.inChannels,p=l[0]*l[1]*l[2],d=n.outChannels,h=n.dataFormat==="channelsLast",m=!1,f=!1,g,y=[],b=(p===1||d===1)&&u>MS,v=l[2]%2!=0&&!!c.isPacked;if(b||!te().getBool("WEBGL_LAZILY_UNPACK")||!te().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!v){let x=h?l[0]*l[1]*l[2]:l[0]*l[2]*l[3],N=ve({inputs:{x:e},backend:a,attrs:{shape:[1,x,n.inChannels]}}),T=ve({inputs:{x:t},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}}),C=lf({a:N,b:T,transposeA:m,transposeB:f,backend:a,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i});g=ve({inputs:{x:C},backend:a,attrs:{shape:n.outShape}}),y.push(N),y.push(T),y.push(C)}else{let x=h?l[0]*l[1]*(l[2]+1):l[0]*l[2]*(l[3]+1),N={dataId:e.dataId,shape:[1,x,n.inChannels],dtype:e.dtype},T=c.shape;c.shape=c.shape.slice(),c.shape[c.shape.length-2]++,k.assert(nf(c.shape,N.shape),()=> ` packed reshape $ { c . shape } to $ { N . shape } isn ' t free ` );let C=ve({inputs:{x:t},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}});y.push(C);let $ =lf({a:N,b:C,backend:a,transposeA:m,transposeB:f,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i}),F=a.texData.get( $ .dataId);k.assert(F.isPacked,()=>"batchMatMul result is expected to be packed"),c.shape=T,F.shape=n.outShape,g=Wn({inputs:{x: $ },backend:a}),g.shape=n.outShape,y.push( $ )}for(let x of y)a.disposeIntermediateTensorInfo(x);return g}function qS({x:e,filter:t,convInfo:n,backend:a,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let{filterWidth:l,filterHeight:c,inChannels:u,outWidth:p,outHeight:d,dataFormat:h}=n,m=h==="channelsLast",f=l*c*u,g=d*p,y=[f,g],b=!0,v=!1,x=[],N=ve({inputs:{x:e},backend:a,attrs:{shape:e.shape.slice(1)}}),T=ve({inputs:{x:t},backend:a,attrs:{shape:[1,f,k.sizeFromShape(t.shape)/f]}});x.push(N),x.push(T);let C=new I7(y,N.shape,n), $ =a.runWebGLProgram(C,[N],"float32"),F=ve({inputs:{x: $ },backend:a,attrs:{shape:[1,y[0],y[1]]}});x.push( $ ),x.push(F);let O=r!=null,W=s!=null,V=o==="leakyrelu",H=o?sf(o,!0):null,K=new _S(F.shape,T.shape,[1,g,n.outChannels],b,v,O,H,W,V),j=[F,T];if(r&&j.push(r),W&&j.push(s),V){let Q=a.makeTensorInfo([],"float32",k.createScalarValue(i,"float32"));j.push(Q),x.push(Q)}let Y=a.runWebGLProgram(K,j,"float32"),J=m?[1,d,p,n.outChannels]:[1,n.outChannels,d,p],ne=ve({inputs:{x:Y},backend:a,attrs:{shape:J}});x.push(Y);for(let Q of x)a.disposeIntermediateTensorInfo(Q);return ne}function N7(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:c,dimRoundingMode:u}=a,p=E.convertConv2DDataFormat(l),d=E.computeConv2DInfo(r.shape,s.shape,i,c,o,u,!1,p),h;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"))h=jS({x:r,filter:s,convInfo:d,backend:n});else if(te().getBool("WEBGL_CONV_IM2COL")&&r.shape[0]===1)h=qS({x:r,filter:s,convInfo:d,backend:n});else{let f=new HS(d);h=n.runWebGLProgram(f,[r,s],"float32")}let m=ve({inputs:{x:h},backend:n,attrs:{shape:d.outShape}});return n.disposeIntermediateTensorInfo(h),m}var T7={kernelName:zs,backendName:"webgl",kernelFunc:N7},S7=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,a=e.padInfo.top,r=e.padInfo.left,s=e.dataFormat==="channelsLast";this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
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int wR = coords . x ;
int wC = coords . y ;
int d1 = coords . z ;
int d2 = coords . w ;
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// 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 ;
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for ( int b = 0 ; b < $ { e . batchSize } ; b ++ ) {
for ( int yR = 0 ; yR < $ { e . outHeight } ; yR ++ ) {
int xR = wR + yR * $ { t } - $ { a } ;
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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 } - $ { r } ;
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if ( xC < 0 || xC >= $ { e . inWidth } ) {
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continue ;
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}
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if ( $ { s } ) {
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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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setOutput ( dotProd ) ;
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}
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` }},C7=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=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 } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
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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 ;
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// Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).
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// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
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for ( int wR = 0 ; wR < $ { t } ; wR ++ ) {
float dyR = float ( dyRCorner + wR ) / $ { a } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
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continue ;
}
int idyR = int ( dyR ) ;
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int wRPerm = $ { t } - 1 - wR ;
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for ( int wC = 0 ; wC < $ { n } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { r } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
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fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
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int wCPerm = $ { n } - 1 - wC ;
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for ( int d2 = 0 ; d2 < $ { e . outChannels } ; d2 ++ ) {
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if ( $ { s } ) {
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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 ;
}
}
}
}
setOutput ( dotProd ) ;
}
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` }},_7=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,n=e.strideHeight,a=e.strideWidth,r=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 ;
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for ( int b = 0 ; b < $ { e . batchSize } ; b ++ ) {
for ( int yF = 0 ; yF < $ { e . outDepth } ; yF ++ ) {
int xF = wF + yF * $ { t } - $ { r } ;
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if ( xF < 0 || xF >= $ { e . inDepth } ) {
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continue ;
}
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for ( int yR = 0 ; yR < $ { e . outHeight } ; yR ++ ) {
int xR = wR + yR * $ { n } - $ { s } ;
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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 * $ { a } - $ { i } ;
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if ( xC < 0 || xC >= $ { e . inWidth } ) {
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continue ;
}
float dyValue = getDy ( b , yF , yR , yC , d2 ) ;
float xValue = getX ( b , xF , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
}
}
}
}
setOutput ( dotProd ) ;
}
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` }},E7=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,a=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=t-1-e.padInfo.front,l=n-1-e.padInfo.top,c=a-1-e.padInfo.left;this.userCode= `
const ivec3 pads = ivec3 ( $ { o } , $ { l } , $ { c } ) ;
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int d1 = coords . u ;
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ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
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int dyFCorner = dyCorner . x ;
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int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
float dotProd = 0.0 ;
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for ( int wF = 0 ; wF < $ { t } ; wF ++ ) {
float dyF = float ( dyFCorner + wF ) / $ { r } . 0 ;
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if ( dyF < 0.0 || dyF >= $ { e . outDepth } . 0 || fract ( dyF ) > 0.0 ) {
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continue ;
}
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int idyF = int ( dyF ) ;
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int wFPerm = $ { t } - 1 - wF ;
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for ( int wR = 0 ; wR < $ { n } ; wR ++ ) {
float dyR = float ( dyRCorner + wR ) / $ { s } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 ||
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fract ( dyR ) > 0.0 ) {
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continue ;
}
int idyR = int ( dyR ) ;
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int wRPerm = $ { n } - 1 - wR ;
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for ( int wC = 0 ; wC < $ { a } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { i } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
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fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
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int wCPerm = $ { a } - 1 - wC ;
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for ( int d2 = 0 ; d2 < $ { e . outChannels } ; d2 ++ ) {
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float xValue = getDy ( batch , idyF , idyR , idyC , d2 ) ;
float wValue = getW ( wFPerm , wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
}
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}
}
}
setOutput ( dotProd ) ;
}
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` }};function A7(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,pad:o,dataFormat:l,dimRoundingMode:c,filterShape:u}=a,p=E.convertConv2DDataFormat(l),d=E.computeConv2DInfo(r.shape,u,i,1,o,c,!1,p),h=new S7(d);return n.runWebGLProgram(h,[r,s],"float32")}var F7={kernelName:Ud,backendName:"webgl",kernelFunc:A7};function $ 7(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{inputShape:i,strides:o,pad:l,dataFormat:c,dimRoundingMode:u}=a,p=E.convertConv2DDataFormat(c),d=E.computeConv2DInfo(i,s.shape,o,1,l,u,!1,p),h=new C7(d);return n.runWebGLProgram(h,[r,s],"float32")}var D7={kernelName:Bs,backendName:"webgl",kernelFunc: $ 7};function M7(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=a,c=E.computeConv3DInfo(r.shape,s.shape,i,l,o),u=new k7(c);return n.runWebGLProgram(u,[r,s],"float32")}var R7={kernelName:xc,backendName:"webgl",kernelFunc:M7};function P7(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,pad:o,filterShape:l}=a,c=E.computeConv3DInfo(r.shape,l,i,1,o),u=new _7(c);return n.runWebGLProgram(u,[r,s],"float32")}var O7={kernelName:Gd,backendName:"webgl",kernelFunc:P7};function L7(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{pad:i,strides:o,inputShape:l}=a,c=E.computeConv3DInfo(l,s.shape,o,1,i),u=new E7(c);return n.runWebGLProgram(u,[r,s],"float32")}var z7={kernelName:Hd,backendName:"webgl",kernelFunc:L7},B7=CS+ `
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return cos ( x ) ;
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` ,W7=Je({opSnippet:B7}),V7={kernelName:Ws,backendName:"webgl",kernelFunc:W7},U7= `
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float e2x = exp ( - x ) ;
return ( e2x + 1.0 / e2x ) / 2.0 ;
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` ,G7=Je({opSnippet:U7}),H7={kernelName:Ko,backendName:"webgl",kernelFunc:G7},j7=class{constructor(e,t,n,a,r){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[s,i,o,l]=e,[c]=t,[u,p]=n;this.outputShape=[c,u,p,l];let d=a==="bilinear"?1:0,[h,m]=[ ` $ { i - 1 } . 0 ` , ` $ { o - 1 } . 0 ` ],[f,g,y]=u>1?[ ` $ { ( i - 1 ) / ( u - 1 ) } ` ,"(y2-y1) * height_ratio", ` y1 * $ { h } + float ( y ) * ( height _scale ) ` ]:["0.0","0.0", ` 0.5 * ( y1 + y2 ) * $ { h } ` ],[b,v,x]=p>1?[ ` $ { ( o - 1 ) / ( p - 1 ) } ` ,"(x2-x1) * width_ratio", ` x1 * $ { m } + float ( x ) * ( width _scale ) ` ]:["0.0","0.0", ` 0.5 * ( x1 + x2 ) * $ { m } ` ];this.userCode= `
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const float height _ratio = float ( $ { f } ) ;
const float width _ratio = float ( $ { b } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int y = coords [ 1 ] ;
int x = coords [ 2 ] ;
int d = coords [ 3 ] ;
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// get box vals
float y1 = getBoxes ( b , 0 ) ;
float x1 = getBoxes ( b , 1 ) ;
float y2 = getBoxes ( b , 2 ) ;
float x2 = getBoxes ( b , 3 ) ;
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// get image in batch index
int bInd = round ( getBoxInd ( b ) ) ;
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if ( bInd < 0 || bInd >= $ { s } ) {
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return ;
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}
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float height _scale = $ { g } ;
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float width _scale = $ { v } ;
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float in _y = $ { y } ;
if ( in _y < 0.0 || in _y > $ { h } ) {
setOutput ( float ( $ { r } ) ) ;
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return ;
}
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float in _x = $ { x } ;
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if ( in _x < 0.0 || in _x > $ { m } ) {
setOutput ( float ( $ { r } ) ) ;
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return ;
}
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vec2 sourceFracIndexCR = vec2 ( in _x , in _y ) ;
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if ( $ { d } == 1 ) {
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// Compute the four integer indices.
ivec2 sourceFloorCR = ivec2 ( sourceFracIndexCR ) ;
ivec2 sourceCeilCR = ivec2 ( ceil ( sourceFracIndexCR ) ) ;
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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 ) ;
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vec2 fracCR = sourceFracIndexCR - vec2 ( sourceFloorCR ) ;
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float top = topLeft + ( topRight - topLeft ) * fracCR . x ;
float bottom = bottomLeft + ( bottomRight - bottomLeft ) * fracCR . x ;
float newValue = top + ( bottom - top ) * fracCR . y ;
setOutput ( newValue ) ;
} else {
// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestCR = ivec2 ( floor (
sourceFracIndexCR + vec2 ( 0.5 , 0.5 ) ) ) ;
float newValue = getImage ( b , sourceNearestCR . y , sourceNearestCR . x , d ) ;
setOutput ( newValue ) ;
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}
}
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` }},q7=e=>{let{inputs:t,backend:n,attrs:a}=e,{image:r,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:c}=a,u=new j7(r.shape,s.shape,o,l,c);return n.runWebGLProgram(u,[r,s,i],"float32")},K7={kernelName:Xo,backendName:"webgl",kernelFunc:q7},YS=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=e;let a=e.length,r=t?"0.0": ` getX ( $ { KS ( a , "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 ;
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void main ( ) {
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$ { gt ( a ) } coords = getOutputCoords ( ) ;
int end = $ { XS ( a , "coords" ) } ;
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float val = $ { r } ;
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int pow2 = int ( pow ( 2.0 , index ) ) ;
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if ( $ { i } ) {
int idx = $ { o } ;
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$ { XS ( a , "coords" ) } = idx ;
val += getX ( $ { KS ( a , "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 KS(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 XS(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 X7(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a,l=r.shape.length,c=E.getAxesPermutation([s],l),u=r;c!=null&&(u=Cn({inputs:{x:r},backend:n,attrs:{perm:c}}));let p=E.getInnerMostAxes(1,l)[0];if(p!==l-1)throw new Error( ` WebGL cumsum shader expects an inner - most axis = $ { r . shape . length - 1 } but got axis = $ { s } ` );let d=r.shape[p],h=Wn({inputs:{x:u},backend:n});for(let m=0;m<=Math.ceil(Math.log2(d))-1;m++){let f=new YS(u.shape,!1,o),g=f.getCustomSetupFunc(m),y=h;h=n.runWebGLProgram(f,[h],h.dtype,g),n.disposeIntermediateTensorInfo(y)}if(i){let m=new YS(u.shape,i,o),f=h;h=n.runWebGLProgram(m,[h],h.dtype),n.disposeIntermediateTensorInfo(f)}if(c!=null){let m=E.getUndoAxesPermutation(c),f=Cn({inputs:{x:h},backend:n,attrs:{perm:m}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(u),f}return h}var Y7={kernelName:Vs,backendName:"webgl",kernelFunc:X7};function J7(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i,binaryOutput:o}=a;if(r.shape.length===1){let l=n.readSync(r.dataId),c=n.readSync(s.dataId),u=mS(l,c,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,u)}else if(r.shape.length===2){let l=n.bufferSync(r),c=n.bufferSync(s),u=TK(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$ { r . shape . length } . ` )}var Z7={kernelName:jd,backendName:"webgl",kernelFunc:J7},Q7=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 ( ) } ;
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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 ) *
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$ { this . getOutputDepthSize ( ) } ;
int in _d = d + offset _d ;
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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 eJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockSize:s,dataFormat:i}=a;k.assert(s>1,()=> ` blockSize should be > 1 for depthToSpace , but was : $ { s } ` );let o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],c=i==="NHWC"?r.shape[2]:r.shape[3],u=i==="NHWC"?r.shape[3]:r.shape[1],p=l*s,d=c*s,h=u/(s*s),m=i==="NHWC"?[o,p,d,h]:[o,h,p,d],f=new Q7(m,s,i);return n.runWebGLProgram(f,[r],r.dtype)}var tJ={kernelName:Yo,backendName:"webgl",kernelFunc:eJ},JS=class{constructor(e,t=!1,n=null,a=!1,r=!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,p=e.dilationHeight,d=e.dilationWidth,h=e.filterHeight,m=e.filterWidth,f=e.outChannels/e.inChannels,g="",y="";n&&(a?g= ` float activation ( float a ) {
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float b = getPreluActivationWeightsAtOutCoords ( ) ;
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$ { n }
} ` :r?g= ` float activation ( float a ) {
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float b = getLeakyreluAlphaAtOutCoords ( ) ;
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$ { n }
} ` :g= `
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float activation ( float x ) {
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$ { n }
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}
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` ,y="result = activation(result);");let b=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
$ { g }
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const ivec2 strides = ivec2 ( $ { c } , $ { u } ) ;
const ivec2 pads = ivec2 ( $ { o } , $ { l } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
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int batch = coords . x ;
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ivec2 xRCCorner = coords . yz * strides - pads ;
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int d2 = coords . w ;
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int d1 = d2 / $ { f } ;
int q = d2 - d1 * $ { f } ;
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int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
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// 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.
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for ( int wR = 0 ; wR < $ { h } ; wR ++ ) {
int xR = xRCorner + wR * $ { p } ;
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if ( xR < 0 || xR >= $ { s } ) {
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continue ;
}
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for ( int wC = 0 ; wC < $ { m } ; wC ++ ) {
int xC = xCCorner + wC * $ { d } ;
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if ( xC < 0 || xC >= $ { i } ) {
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continue ;
}
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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 ;
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$ { b }
$ { y }
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setOutput ( result ) ;
}
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` }},ZS=class{constructor(e,t=!1,n=null,a=!1,r=!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,p=e.dilationHeight,d=e.dilationWidth,h=e.filterHeight,m=e.filterWidth,f=m,g="int xR; int xC; int xCOffset;";for(let x=0;x<h;x++)for(let N=0;N<m;N++)g+= `
vec4 xTexelR$ { x } C$ { N * 2 } = vec4 ( 0. ) ;
vec4 wR$ { x } C$ { N } = vec4 ( 0. ) ;
vec4 xR$ { x } C$ { N } = vec4 ( 0. ) ; ` ;for(let x=0;x<h;x++)for(let N=0;N<f;N++){let T=N*2;if(g+= `
xR = xRCorner + $ { x * p } ;
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xC = xCCorner + $ { T * d } ;
` ,u===1){if(T<m&&(l%2==1?g+= `
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xCOffset = xC + 1 ;
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if ( xR >= 0 && xR < $ { s } && xCOffset >= 0 && xCOffset < $ { i } ) {
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xTexelR$ { x } C$ { T } = getX ( batch , xR , xCOffset , d1 ) ;
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// Need to manually clear unused channels in case
// we're reading from recycled texture.
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if ( xCOffset + 1 >= $ { i } ) {
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xTexelR$ { x } C$ { T } . zw = vec2 ( 0. ) ;
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}
} else {
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xTexelR$ { x } C$ { T } = vec4 ( 0. ) ;
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}
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xCOffset = xC + 1 - 2 ;
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if ( xR >= 0 && xR < $ { s } && xCOffset >= 0 && xCOffset < $ { i } ) {
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vec4 previous = getX ( batch , xR , xCOffset , d1 ) ;
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// Need to manually clear unused channels in case
// we're reading from recycled texture.
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if ( xCOffset + 1 >= $ { i } ) {
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previous . zw = vec2 ( 0. ) ;
}
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xR$ { x } C$ { T } = vec4 ( previous . zw , xTexelR$ { x } C$ { T } . xy ) ;
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} else {
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xR$ { x } C$ { T } = vec4 ( 0 , 0 , xTexelR$ { x } C$ { T } . xy ) ;
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}
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` :g+= `
if ( xR >= 0 && xR < $ { s } && xC >= 0 && xC < $ { i } ) {
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xTexelR$ { x } C$ { T } = getX ( batch , xR , xC , d1 ) ;
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} else {
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xTexelR$ { x } C$ { T } = vec4 ( 0. ) ;
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}
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xR$ { x } C$ { T } = xTexelR$ { x } C$ { T } ;
` ,T+1<m)){let C=l%2==0?k.nearestLargerEven(d):d;d%2==0&&l%2==1||d%2!=0&&l%2!=1?(g+= `
xCOffset = xC + $ { l % 2 } + $ { C } ;
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if ( xR >= 0 && xR < $ { s } &&
xCOffset >= 0 && xCOffset < $ { i } ) {
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xTexelR$ { x } C$ { T + 2 } = getX ( batch , xR , xCOffset , d1 ) ;
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}
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` ,d>1&&(g+= `
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xCOffset -= 2 ;
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if ( xR >= 0 && xR < $ { s } &&
xCOffset >= 0 && xCOffset < $ { i } ) {
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xTexelR$ { x } C$ { T } = getX ( batch , xR , xCOffset , d1 ) ;
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} else {
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xTexelR$ { x } C$ { T } = vec4 ( 0. ) ;
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}
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` ),g+= `
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xR$ { x } C$ { T + 1 } = vec4 (
xTexelR$ { x } C$ { T } . zw , xTexelR$ { x } C$ { T + 2 } . xy ) ;
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` ):g+= `
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xCOffset = xC + $ { C } ;
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if ( xR >= 0 && xR < $ { s } &&
xCOffset >= 0 && xCOffset < $ { i } ) {
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xTexelR$ { x } C$ { T + 2 } = getX ( batch , xR , xCOffset , d1 ) ;
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}
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xR$ { x } C$ { T + 1 } = xTexelR$ { x } C$ { T + 2 } ;
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` }}else T<m&&(g+= `
if ( xR >= 0 && xR < $ { s } ) {
` ,l%2==1?(g+= `
xCOffset = xC + 1 - $ { u } ;
if ( xCOffset >= 0 && xCOffset < $ { i } ) {
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xTexelR$ { x } C$ { T } = getX ( batch , xR , xCOffset , d1 ) ;
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} else {
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xTexelR$ { x } C$ { T } = vec4 ( 0. ) ;
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}
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if ( xC + 1 >= 0 && xC + 1 < $ { i } ) {
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xTexelR$ { x } C$ { T + 2 } = getX ( batch , xR , xC + 1 , d1 ) ;
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} else {
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xTexelR$ { x } C$ { T + 2 } = vec4 ( 0. ) ;
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}
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xR$ { x } C$ { T } = vec4 (
xTexelR$ { x } C$ { T } . zw , xTexelR$ { x } C$ { T + 2 } . zw ) ;
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` ,T+1<m&&(g+= `
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vec4 final = vec4 ( 0. ) ;
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xCOffset = xC + 1 + $ { u } ;
if ( xCOffset >= 0 && xCOffset < $ { i } ) {
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final = getX ( batch , xR , xCOffset , d1 ) ;
}
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xR$ { x } C$ { T + 1 } = vec4 ( xTexelR$ { x } C$ { T + 2 } . xy , final . xy ) ;
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` )):(g+= `
if ( xC >= 0 && xC < $ { i } ) {
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xTexelR$ { x } C$ { T } = getX ( batch , xR , xC , d1 ) ;
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} else {
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xTexelR$ { x } C$ { T } = vec4 ( 0. ) ;
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}
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xCOffset = xC + $ { u } ;
if ( xCOffset >= 0 && xCOffset < $ { i } ) {
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xTexelR$ { x } C$ { T + 2 } = getX ( batch , xR , xCOffset , d1 ) ;
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} else {
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xTexelR$ { x } C$ { T + 2 } = vec4 ( 0. ) ;
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}
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xR$ { x } C$ { T } = vec4 (
xTexelR$ { x } C$ { T } . xy , xTexelR$ { x } C$ { T + 2 } . xy ) ;
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` ,T+1<m&&(g+= `
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xR$ { x } C$ { T + 1 } = vec4 (
xTexelR$ { x } C$ { T } . zw , xTexelR$ { x } C$ { T + 2 } . zw ) ;
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` )),g+="}");T<m&&(g+= `
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vec4 wTexelR$ { x } C$ { T } = getW ( $ { x } , $ { T } , d1 , q ) ;
wR$ { x } C$ { T } = vec4 ( wTexelR$ { x } C$ { T } . xz , wTexelR$ { x } C$ { T } . xz ) ;
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` ,T+1<m&&(g+= `
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vec4 wTexelR$ { x } C$ { T + 1 } = getW ( $ { x } , $ { T + 1 } , d1 , q ) ;
wR$ { x } C$ { T + 1 } =
vec4 ( wTexelR$ { x } C$ { T + 1 } . xz , wTexelR$ { x } C$ { T + 1 } . xz ) ; ` ))}for(let x=0;x<h;x++)for(let N=0;N<m;N++)g+= ` dotProd += xR$ { x } C$ { N } * wR$ { x } C$ { N } ; ` ;let y="",b="";n&&(a?y= ` vec4 activation ( vec4 a ) {
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vec4 b = getPreluActivationWeightsAtOutCoords ( ) ;
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$ { n }
} ` :r?y= ` vec4 activation ( vec4 a ) {
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vec4 b = getLeakyreluAlphaAtOutCoords ( ) ;
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$ { n }
} ` :y= ` vec4 activation ( vec4 x ) {
$ { n }
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} ` ,b="result = activation(result);");let v=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
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$ { y }
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const ivec2 strides = ivec2 ( $ { c } , $ { u } ) ;
const ivec2 pads = ivec2 ( $ { o } , $ { l } ) ;
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void main ( ) {
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ivec4 coords = getOutputCoords ( ) ;
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int batch = coords . x ;
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ivec2 xRCCorner = coords . yz * strides - pads ;
int d2 = coords . w ;
int d1 = d2 ;
int q = 0 ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
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vec4 dotProd = vec4 ( 0. ) ;
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$ { g }
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vec4 result = dotProd ;
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$ { v }
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$ { b }
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setOutput ( result ) ;
}
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` }};function nJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l,dimRoundingMode:c}=a,u=l;u==null&&(u=[1,1]),k.assert(E.eitherStridesOrDilationsAreOne(i,u),()=> ` Error in depthwiseConv2d : Either strides or dilations must be 1. Got strides $ { i } and dilations '${u}' ` );let p=E.computeConv2DInfo(r.shape,s.shape,i,u,o,c,!0),d;return te().getBool("WEBGL_PACK_DEPTHWISECONV")&&p.strideWidth<=2&&p.outChannels/p.inChannels==1?d=new ZS(p):d=new JS(p),n.runWebGLProgram(d,[r,s],"float32")}var aJ={kernelName:Us,backendName:"webgl",kernelFunc:nJ},rJ=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,a=e.padInfo.top,r=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 ;
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int d2 = d1 * $ { s } + dm ;
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float dotProd = 0.0 ;
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// TO DO: Vec4 over the batch size
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for ( int b = 0 ; b < $ { e . batchSize } ; b ++ ) {
for ( int yR = 0 ; yR < $ { e . outHeight } ; yR ++ ) {
int xR = wR + yR * $ { t } - $ { a } ;
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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 } - $ { r } ;
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if ( xC < 0 || xC >= $ { e . inWidth } ) {
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continue ;
}
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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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}
}
setOutput ( dotProd ) ;
}
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` }},sJ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=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 } ) ;
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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 ;
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float dotProd = 0.0 ;
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for ( int wR = 0 ; wR < $ { t } ; wR ++ ) {
float dyR = float ( dyRCorner + wR ) / $ { a } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
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continue ;
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}
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int idyR = int ( dyR ) ;
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int wRPerm = $ { t } - 1 - wR ;
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for ( int wC = 0 ; wC < $ { n } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { r } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
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fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
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int wCPerm = $ { n } - 1 - wC ;
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// TO DO: Vec4 over the channelMul
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for ( int dm = 0 ; dm < $ { o } ; dm ++ ) {
int d2 = d1 * $ { o } + dm ;
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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 iJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:c,filterShape:u}=a,p=E.computeConv2DInfo(r.shape,u,i,o,l,c,!0),d=new rJ(p);return n.runWebGLProgram(d,[r,s],"float32")}var oJ={kernelName:qd,backendName:"webgl",kernelFunc:iJ};function lJ(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:c,inputShape:u}=a,p=E.computeConv2DInfo(u,s.shape,i,o,l,c,!0),d=new sJ(p);return n.runWebGLProgram(d,[r,s],"float32")}var uJ={kernelName:Kd,backendName:"webgl",kernelFunc:lJ},cJ=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode= `
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void main ( ) {
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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 pJ(e){let{inputs:t,backend:n}=e,{x:a}=t,r=[...a.shape,...a.shape],s=k.sizeFromShape(a.shape),i=ve({inputs:{x:a},backend:n,attrs:{shape:[s]}}),o=new cJ(s),l=n.runWebGLProgram(o,[i],i.dtype),c=ve({inputs:{x:l},backend:n,attrs:{shape:r}});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(l),c}var dJ={kernelName:Xd,backendName:"webgl",kernelFunc:pJ},hJ=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:n,padInfo:a,strideHeight:r,strideWidth:s,filterHeight:i,filterWidth:o,dilationHeight:l,dilationWidth:c}=e,{top:u,left:p}=a;this.userCode= `
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const ivec2 strides = ivec2 ( $ { r } , $ { s } ) ;
const ivec2 pads = ivec2 ( $ { u } , $ { p } ) ;
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const float neg _infinity = - 3.4 e38 ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
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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 ;
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for ( int h = 0 ; h < $ { i } ; h ++ ) {
int hIn = hBeg + h * $ { l } ;
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if ( hIn >= 0 && hIn < $ { t } ) {
for ( int w = 0 ; w < $ { o } ; w ++ ) {
int wIn = wBeg + w * $ { c } ;
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if ( wIn >= 0 && wIn < $ { n } ) {
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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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` }};function mJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=a,c=E.computeDilation2DInfo(r.shape,s.shape,i,o,"NHWC",l),u,p=new hJ(c);u=n.runWebGLProgram(p,[r,s],"float32");let d=ve({inputs:{x:u},backend:n,attrs:{shape:c.outShape}});return n.disposeIntermediateTensorInfo(u),d}var fJ={kernelName:vc,backendName:"webgl",kernelFunc:mJ},gJ="return (x >= 0.0) ? x : (exp(x) - 1.0);",yJ= `
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vec4 result ;
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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 ) ;
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return result ;
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` ,bJ=Je({opSnippet:gJ,packedOpSnippet:yJ}),xJ={kernelName:Jo,backendName:"webgl",kernelFunc:bJ},vJ="return (b >= 1.0) ? a : a * (b + 1.0);",wJ= `
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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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` ,kJ=e=>{let{inputs:t,backend:n}=e,{dy:a,y:r}=t,s=te().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ap(wJ,a.shape,r.shape):new Nu(vJ,a.shape,r.shape);return n.runWebGLProgram(s,[a,r],a.dtype)},IJ={kernelName:Zd,backendName:"webgl",kernelFunc:kJ},NJ= `
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return vec4 ( equal ( a , b ) ) ;
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` ,TJ="return float(a == b);",SJ=sn({opSnippet:TJ,packedOpSnippet:NJ,dtype:"bool"}),CJ={kernelName:Qo,backendName:"webgl",kernelFunc:SJ},_J= `
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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.
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float p = $ { E . ERF _P } ;
float a1 = $ { E . ERF _A1 } ;
float a2 = $ { E . ERF _A2 } ;
float a3 = $ { E . ERF _A3 } ;
float a4 = $ { E . ERF _A4 } ;
float a5 = $ { E . ERF _A5 } ;
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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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` ,EJ=Je({opSnippet:_J}),AJ={kernelName:Zo,backendName:"webgl",kernelFunc:EJ},QS="return exp(x);",e2=Je({opSnippet:QS,packedOpSnippet:QS,cpuKernelImpl:_K}),FJ={kernelName:Hs,backendName:"webgl",kernelFunc:e2};function nw(e){let{inputs:t,attrs:n,backend:a}=e,{dim:r}=n,{input:s}=t,i=s.shape.length,o=s.shape.slice(),l=r;return r<0&&(k.assert(-(i+1)<=r,()=> ` Axis must be in the interval [ $ { - ( i + 1 ) } , $ { i } ] ` ),l=i+r+1),o.splice(l,0,1),ve({inputs:{x:s},backend:a,attrs:{shape:o}})}var $ J={kernelName:el,backendName:"webgl",kernelFunc:nw},t2="return exp(x) - 1.0;",DJ=Je({opSnippet:t2,packedOpSnippet:t2,cpuKernelImpl:EK}),MJ={kernelName:tl,backendName:"webgl",kernelFunc:DJ},n2=class{constructor(e,t,n){this.variableNames=["real","imag"];let a=t[1];this.outputShape=t;let r=n? ` 2.0 * $ { Math . PI } ` : ` - 2.0 * $ { Math . PI } ` ,s=n? ` $ { a } . 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 = $ { r } ;
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float unaryOpComplex ( float real , float expR , float imag , float expI ) {
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$ { i }
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}
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float mulMatDFT ( int batch , int index ) {
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float indexRatio = float ( index ) / float ( $ { a } ) ;
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float exponentMultiplierTimesIndexRatio =
exponentMultiplier * indexRatio ;
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float result = 0.0 ;
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for ( int i = 0 ; i < $ { a } ; i ++ ) {
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// 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 +=
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unaryOpComplex ( real , expR , imag , expI ) / $ { s } ;
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}
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return result ;
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}
void main ( ) {
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ivec2 coords = getOutputCoords ( ) ;
setOutput ( mulMatDFT ( coords [ 0 ] , coords [ 1 ] ) ) ;
}
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` }};function a2(e,t,n){let a=n.texData.get(e.dataId),r=k.sizeFromShape(e.shape),s=e.shape[e.shape.length-1],i=r/s,o=ve({inputs:{x:e},backend:n,attrs:{shape:[i,s]}}),l=o.shape,c=new n2("real",l,t),u=new n2("imag",l,t),p=[{dataId:a.complexTensorInfos.real.dataId,dtype:a.complexTensorInfos.real.dtype,shape:l},{dataId:a.complexTensorInfos.imag.dataId,dtype:a.complexTensorInfos.imag.dtype,shape:l}],d=n.runWebGLProgram(c,p,"float32"),h=n.runWebGLProgram(u,p,"float32"),m=ys({inputs:{real:d,imag:h},backend:n});n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(h);let f=ve({inputs:{x:m},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(m),f}function RJ(e){let{inputs:t,backend:n}=e,{input:a}=t;return a2(a,!1,n)}var PJ={kernelName:Qd,backendName:"webgl",kernelFunc:RJ},OJ=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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` }getCustomSetupFunc(e){return(t,n)=>{this.valueLoc==null&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}};function aw(e){let{backend:t,attrs:n}=e,{shape:a,value:r}=n,{dtype:s}=n;if(s=s||k.inferDtype(r),s==="string"){let i=k.getArrayFromDType(s,k.sizeFromShape(a));return i.fill(r),t.makeTensorInfo(a,s,i)}else{let i=new OJ(a,r),o=i.getCustomSetupFunc(r);return t.runWebGLProgram(i,[],s,o)}}var LJ={kernelName:wc,backendName:"webgl",kernelFunc:aw},zJ=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 ] ;
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int coordX = $ { t } - x ;
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float outputValue ;
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if ( coordX >= 0 && coordX < $ { t } ) {
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outputValue = getImage ( coords [ 0 ] , coords [ 1 ] , coordX , coords [ 3 ] ) ;
} else {
outputValue = getImage ( coords [ 0 ] , coords [ 1 ] , coords [ 2 ] , coords [ 3 ] ) ;
}
setOutput ( outputValue ) ;
}
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` }},BJ={kernelName:nl,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{let{image:n}=e,a=t,r=new zJ(n.shape);return a.runWebGLProgram(r,[n],n.dtype)}},r2="return floor(x);",WJ=Je({opSnippet:r2,packedOpSnippet:r2,cpuKernelImpl:AK}),VJ={kernelName:js,backendName:"webgl",kernelFunc:WJ},UJ= `
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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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` ,GJ= `
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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 ) ;
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// 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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` ,HJ=sn({opSnippet:UJ,packedOpSnippet:GJ,dtype:"int32"}),jJ={kernelName:qs,backendName:"webgl",kernelFunc:HJ},qJ=class{constructor(e){this.variableNames=["A"];let t=fn(),[n,a]=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 ] ;
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vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { a } . 0 , $ { n } . 0 ) ;
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vec4 values = $ { t . texture2D } ( A , uv ) ;
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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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setOutput ( floor ( value * 255.0 + 0.5 ) ) ;
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}
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` }},KJ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=fn(),[n,a]=e;this.outputShape=e,this.userCode= `
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void main ( ) {
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ivec3 coords = getOutputCoords ( ) ;
int texR = coords [ 0 ] ;
int texC = coords [ 1 ] ;
int depth = coords [ 2 ] ;
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vec4 result = vec4 ( 0. ) ;
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for ( int row = 0 ; row <= 1 ; row ++ ) {
for ( int col = 0 ; col <= 1 ; col ++ ) {
texC = coords [ 1 ] + row ;
depth = coords [ 2 ] + col ;
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vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { a } . 0 , $ { n } . 0 ) ;
vec4 values = $ { t . texture2D } ( A , uv ) ;
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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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result [ row * 2 + col ] = floor ( value * 255.0 + 0.5 ) ;
}
}
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$ { t . output } = result ;
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}
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` }},YJ={kernelName:hh,backendName:"webgl",kernelFunc:XJ},Su;function XJ(e){let{inputs:t,backend:n,attrs:a}=e,{pixels:r}=t,{numChannels:s}=a,i=typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement,o=typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement,l=typeof ImageBitmap!="undefined"&&r instanceof ImageBitmap,[c,u]=i?[r.videoWidth,r.videoHeight]:[r.width,r.height],p=[u,c],d=[u,c,s];(o||i||l)&&(Su==null&&(Su=document.createElement("canvas").getContext("2d")),Su.canvas.width=c,Su.canvas.height=u,Su.drawImage(r,0,0,c,u),r=Su.canvas);let h=n.makeTensorInfo(p,"int32");n.texData.get(h.dataId).usage=aa.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(h.dataId),r);let m=te().getBool("WEBGL_PACK")?new KJ(d):new qJ(d),f=n.runWebGLProgram(m,[h],"int32");return n.disposeData(h.dataId),f}function JJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:c,dataFormat:u,dilations:p,dimRoundingMode:d,activation:h,leakyreluAlpha:m}=a,f=E.convertConv2DDataFormat(u),g=E.computeConv2DInfo(r.shape,s.shape,l,p,c,d,!1,f),y,b=[];if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))y=jS({x:r,filter:s,convInfo:g,backend:n,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:m});else if(te().getBool("WEBGL_CONV_IM2COL")&&r.shape[0]===1)y=qS({x:r,filter:s,convInfo:g,backend:n,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:m});else{let x=i!=null,N=o!=null,T=h==="leakyrelu",C=h?sf(h,!1):null, $ =new HS(g,x,C,N,T),F=[r,s];if(i&&F.push(i),o&&F.push(o),T){let O=n.makeTensorInfo([],"float32",k.createScalarValue(m,"float32"));F.push(O),b.push(O)}y=n.runWebGLProgram( $ ,F,"float32")}let v=ve({inputs:{x:y},backend:n,attrs:{shape:g.outShape}});return b.push(y),b.forEach(x=>n.disposeIntermediateTensorInfo(x)),v}var ZJ={kernelName:Ti,backendName:"webgl",kernelFunc:JJ};function QJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:c,dilations:u,dimRoundingMode:p,activation:d,leakyreluAlpha:h}=a,m=[],f=u;f==null&&(f=[1,1]),k.assert(E.eitherStridesOrDilationsAreOne(l,f),()=> ` Error in depthwiseConv2d : Either strides or dilations must be 1. Got strides $ { l } and dilations '${f}' ` );let g=E.computeConv2DInfo(r.shape,s.shape,l,f,c,p,!0),y=te().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels==1,b=d?sf(d,y):null,v=[r,s],x=i!=null,N=o!=null,T=d==="leakyrelu";if(x&&v.push(i),N&&v.push(o),T){let F=n.makeTensorInfo([],"float32",k.createScalarValue(h,"float32"));v.push(F),m.push(F)}let C;y?C=new ZS(g,x,b,N,T):C=new JS(g,x,b,N,T);let $ =n.runWebGLProgram(C,v,"float32");return m.forEach(F=>n.disposeIntermediateTensorInfo(F)), $ }var e9={kernelName:Si,backendName:"webgl",kernelFunc:QJ},t9=class{constructor(e,t,n){this.sliceDim=e,this.strides=t,this.variableNames=["x","indices"],this.outputShape=n;let a=gt(t.length),r=gt(n.length),s=this.sliceDim>1?"strides[j]":"strides";this.userCode= `
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$ { a } strides = $ { a } ( $ { this . strides } ) ;
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void main ( ) {
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$ { r } coords = getOutputCoords ( ) ;
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int flattenIndex = 0 ;
for ( int j = 0 ; j < $ { this . sliceDim } ; j ++ ) {
int index = round ( getIndices ( coords [ 0 ] , j ) ) ;
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flattenIndex += index * $ { s } ;
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}
setOutput ( getX ( flattenIndex , coords [ 1 ] ) ) ;
}
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` }};function n9(e){let{inputs:t,backend:n}=e,{params:a,indices:r}=t,s=r.shape,i=s[s.length-1],[o,l,c,u]=E.prepareAndValidate(a,r),p=ve({inputs:{x:r},backend:n,attrs:{shape:[l,i]}}),d=ve({inputs:{x:a},backend:n,attrs:{shape:[k.sizeFromShape(a.shape)/c,c]}}),h=new t9(i,u,[l,c]),m=n.runWebGLProgram(h,[d,p],d.dtype),f=ve({inputs:{x:m},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(m),f}var a9={kernelName:rl,backendName:"webgl",kernelFunc:n9},s9=class{constructor(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;let n=gt(this.rank),a=r9(e,2);this.userCode= `
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void main ( ) {
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$ { n } resRC = getOutputCoords ( ) ;
setOutput ( getA ( $ { a } ) ) ;
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}
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` }};function r9(e,t){let n=["resRC.x","resRC.y","resRC.z","resRC.w"],a=[];for(let r=0;r<e.length;r++)r===2?a.push("int(getIndices(resRC.x, resRC.z))"):a.push( ` $ { n [ r ] } ` );return a.join()}function i9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,indices:s}=t,{axis:i,batchDims:o}=a,l=k.parseAxisParam(i,r.shape)[0],c=E.segment_util.collectGatherOpShapeInfo(r,s,l,o),u=k.sizeFromShape(s.shape),p=[],d=ve({inputs:{x:r},backend:n,attrs:{shape:[c.batchSize,c.outerSize,c.dimSize,c.sliceSize]}}),h=ve({inputs:{x:s},backend:n,attrs:{shape:[c.batchSize,u/c.batchSize]}});p.push(d),p.push(h);let m=[c.batchSize,c.outerSize,u/c.batchSize,c.sliceSize];if(n.shouldExecuteOnCPU([r,s])||r.dtype==="string"){let b=n.bufferSync(h),v=n.bufferSync(d),x=FK(v,b,m);return p.forEach(N=>n.disposeIntermediateTensorInfo(N)),n.makeTensorInfo(c.outputShape,x.dtype,x.values)}let f=new s9(d.shape,m),g=n.runWebGLProgram(f,[d,h],d.dtype);p.push(g);let y=ve({inputs:{x:g},backend:n,attrs:{shape:c.outputShape}});return p.forEach(b=>n.disposeIntermediateTensorInfo(b)),y}var o9={kernelName:al,backendName:"webgl",kernelFunc:i9},l9="return float(a > b);",u9= `
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return vec4 ( greaterThan ( a , b ) ) ;
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` ,c9=sn({opSnippet:l9,packedOpSnippet:u9,cpuKernelImpl: $ K,dtype:"bool"}),p9={kernelName:sl,backendName:"webgl",kernelFunc:c9},d9="return float(a >= b);",h9= `
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return vec4 ( greaterThanEqual ( a , b ) ) ;
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` ,m9=sn({opSnippet:d9,packedOpSnippet:h9,dtype:"bool"}),f9={kernelName:Xs,backendName:"webgl",kernelFunc:m9};function g9(e){let{inputs:t,backend:n}=e,{input:a}=t;return a2(a,!0,n)}var y9={kernelName:eh,backendName:"webgl",kernelFunc:g9},b9="return float(!isnan(x) && !isinf(x));",x9=Je({opSnippet:b9,dtype:"bool"}),v9={kernelName:ol,backendName:"webgl",kernelFunc:x9},w9="return float(isinf(x));",k9=Je({opSnippet:w9,dtype:"bool"}),I9={kernelName:ll,backendName:"webgl",kernelFunc:k9},N9="return float(isnan(x));",T9=Je({opSnippet:N9,dtype:"bool"}),S9={kernelName:ul,backendName:"webgl",kernelFunc:T9},C9="return float(a < b);",_9= `
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return vec4 ( lessThan ( a , b ) ) ;
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` ,E9=sn({opSnippet:C9,packedOpSnippet:_9,cpuKernelImpl:DK,dtype:"bool"}),A9={kernelName:cl,backendName:"webgl",kernelFunc:E9},F9="return float(a <= b);", $ 9= `
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return vec4 ( lessThanEqual ( a , b ) ) ;
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` ,D9=sn({opSnippet:F9,packedOpSnippet: $ 9,dtype:"bool"}),M9={kernelName:pl,backendName:"webgl",kernelFunc:D9};function R9(e){let{backend:t,attrs:n}=e,{start:a,stop:r,num:s}=n,i=MK(a,r,s);return t.makeTensorInfo([i.length],"float32",i)}var P9={kernelName:nh,backendName:"webgl",kernelFunc:R9},O9= ` if ( x < 0.0 ) return NAN ;
return log ( x ) ; ` ,L9= `
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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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` ,z9=Je({opSnippet:O9,packedOpSnippet:L9,cpuKernelImpl:RK}),B9={kernelName:Js,backendName:"webgl",kernelFunc:z9},W9="return log(1.0 + x);",V9=Je({opSnippet:W9}),U9={kernelName:dl,backendName:"webgl",kernelFunc:V9},G9="return float(a >= 1.0 && b >= 1.0);",H9= `
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return vec4 (
vec4 ( greaterThanEqual ( a , vec4 ( 1.0 ) ) ) *
vec4 ( greaterThanEqual ( b , vec4 ( 1.0 ) ) ) ) ;
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` ,j9=sn({opSnippet:G9,packedOpSnippet:H9,dtype:"bool"}),q9={kernelName:hl,backendName:"webgl",kernelFunc:j9},K9="return float(!(x >= 1.0));",X9=Je({opSnippet:K9}),Y9={kernelName:kc,backendName:"webgl",kernelFunc:X9},J9="return float(a >= 1.0 || b >= 1.0);",Z9= `
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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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` ,Q9=sn({opSnippet:J9,packedOpSnippet:Z9,dtype:"bool"}),eZ={kernelName:Ic,backendName:"webgl",kernelFunc:Q9},tZ=class{constructor(e,t,n,a,r){this.variableNames=["x"],this.outputShape=[];let s=t,i=e[3]-1;this.outputShape=e;let o,l= ` float ( $ { n } ) + float ( $ { a } ) * sum ` ;r===.5?o= ` inversesqrt ( $ { l } ) ` :r===1?o= ` 1.0 / ( $ { l } ) ` :o= ` exp ( log ( $ { l } ) * float ( - $ { r } ) ) ; ` ,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
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int d = coords [ 3 ] ;
float x = getX ( b , r , c , d ) ;
float sum = 0.0 ;
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for ( int j = - $ { s } ; j <= $ { s } ; j ++ ) {
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int idx = d + j ;
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if ( idx >= 0 && idx <= $ { i } ) {
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float z = getX ( b , r , c , idx ) ;
sum += z * z ;
}
}
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float val = x * $ { o } ;
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setOutput ( val ) ;
}
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` }},nZ=class{constructor(e,t,n,a,r){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 ( $ { a } ) * sum ` ;r===.5?o= ` inversesqrt ( $ { l } ) ` :r===1?o= ` 1.0 / ( $ { l } ) ` :o= ` exp ( log ( $ { l } ) * float ( - $ { r } ) ) ; ` ,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 ;
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bool hasNextCol = d < $ { this . outputShape [ 3 ] } ;
bool hasNextRow = c < $ { this . outputShape [ 2 ] } ;
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vec4 sum = vec4 ( 0. ) ;
vec4 xFragAtOutputCoords = getX ( b , r , c , d ) ;
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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
) ;
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int firstChannel = d - $ { s } ;
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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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ivec2 depth = ivec2 ( d , d + 1 ) ;
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for ( int j = - $ { s } ; j <= $ { s } ; j ++ ) {
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ivec2 idx = depth + j ;
bvec2 aboveLowerBound = greaterThanEqual ( idx , ivec2 ( 0 ) ) ;
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bvec2 belowUpperBound = lessThanEqual ( idx , ivec2 ( $ { i } ) ) ;
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bool depthInRange = aboveLowerBound . x && belowUpperBound . x ;
bool depthPlusOneInRange = aboveLowerBound . y && belowUpperBound . y ;
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if ( depthInRange || depthPlusOneInRange ) {
vec4 z = vec4 ( 0. ) ;
vec4 xFragAtCurrentDepth ;
z . xz = cache . xy ;
if ( depthPlusOneInRange && hasNextCol ) {
xFragAtCurrentDepth = idx . y != d ?
getX ( b , r , c , idx . y ) : xFragAtOutputCoords ;
z . y = getChannel ( xFragAtCurrentDepth , vec2 ( c , idx . y ) ) ;
if ( hasNextRow ) {
z . w = getChannel ( xFragAtCurrentDepth , vec2 ( c + 1 , idx . y ) ) ;
}
}
cache . xy = z . yw ;
sum += z * z ;
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}
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}
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vec4 result = xAtOutputCoords * $ { o } ;
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setOutput ( result ) ;
}
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` }},aZ=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=a,c=te().getBool("WEBGL_PACK_NORMALIZATION")?new nZ(r.shape,s,i,o,l):new tZ(r.shape,s,i,o,l);return n.runWebGLProgram(c,[r],r.dtype)},rZ={kernelName:Nc,backendName:"webgl",kernelFunc:aZ},sZ=class{constructor(e,t,n,a,r){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=a,this.beta=r,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
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float result = 0.0 ;
for ( int d = 0 ; d < $ { this . depth } ; ++ d ) {
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int depthBegin = int ( max ( 0.0 , float ( d - $ { t } ) ) ) ;
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int depthEnd = int ( min ( float ( $ { this . depth } ) ,
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float ( d + $ { t } + 1 ) ) ) ;
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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 ) {
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continue ;
}
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else if ( k >= depthBegin && k < depthEnd ) {
norm += getInputImage ( b , r , c , k ) * getInputImage ( b , r , c , k ) ;
}
else {
break ;
}
}
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norm = float ( $ { a } ) * norm + float ( $ { n } ) ;
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for ( int k = MIN _DEPTH _BEGIN ; k < MAX _DEPTH _END ; ++ k ) {
if ( k < depthBegin ) {
continue ;
}
else if ( k >= depthBegin && k < depthEnd ) {
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float dyi = - 2.0 * float ( $ { a } )
* float ( $ { r } )
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* getInputImage ( b , r , c , k ) * getOutputImage ( b , r , c , d )
/ n o r m ;
if ( k == d ) {
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dyi += pow ( norm , - 1.0 * $ { r } ) ;
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}
if ( k == coords [ 3 ] ) {
dyi *= getDy ( b , r , c , d ) ;
result += dyi ;
}
}
else {
break ;
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}
}
}
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setOutput ( result ) ;
}
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` }},iZ=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r,y:s,dy:i}=t,{depthRadius:o,bias:l,alpha:c,beta:u}=a,p=new sZ(r.shape,o,l,c,u);return n.runWebGLProgram(p,[r,s,i],r.dtype)},oZ={kernelName:ah,backendName:"webgl",kernelFunc:iZ};function lZ(e,t,n,a){let r=k.sizeFromShape(t),s=k.sizeFromShape(e.shape)/r,i=ve({inputs:{x:e},attrs:{shape:[s,r]},backend:a}),o=Qi(i,e.dtype,"max",a),l=ve({inputs:{x:o},attrs:{shape:n},backend:a});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}function s2(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{reductionIndices:s,keepDims:i}=a,o=r.shape.length,l=k.parseAxisParam(s,r.shape),c=l,u=E.getAxesPermutation(c,o),p=u!=null,d=n.shouldExecuteOnCPU([r]),h=r;if(p){if(d){let b=n.texData.get(h.dataId).values,v=new Array(o);for(let T=0;T<v.length;T++)v[T]=r.shape[u[T]];let x=Yv(b,r.shape,r.dtype,u,v);h=n.makeTensorInfo(v,r.dtype);let N=n.texData.get(h.dataId);N.values=x}else h=of(r,u,n);c=E.getInnerMostAxes(c.length,o)}E.assertAxesAreInnerMostDims("max",c,o);let[m,f]=E.computeOutAndReduceShapes(h.shape,c),g=m;i&&(g=E.expandShapeToKeepDim(m,l));let y;if(d){let b=n.texData.get(h.dataId).values,v=PK(b,k.sizeFromShape(f),g,r.dtype);y=n.makeTensorInfo(g,r.dtype);let x=n.texData.get(y.dataId);x.values=v}else y=lZ(h,f,g,n);return p&&n.disposeIntermediateTensorInfo(h),y}var uZ={kernelName:Zs,backendName:"webgl",kernelFunc:s2},cZ=kS+ `
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return max ( a , b ) ;
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` ,pZ= `
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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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` +rf+ `
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return result ;
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` ,dZ=sn({opSnippet:cZ,packedOpSnippet:pZ,cpuKernelImpl:OK}),hZ={kernelName:Qs,backendName:"webgl",kernelFunc:dZ};function mZ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;_p(r,"maxPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,c=1;k.assert(E.eitherStridesOrDilationsAreOne(i,c),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { i } and dilations '${c}' ` );let u=E.computePool2DInfo(r.shape,s,i,c,o,l);if(u.filterWidth===1&&u.filterHeight===1&&k.arraysEqual(u.inShape,u.outShape))return Wn({inputs:{x:r},backend:n});let p=new Fp(u,"max",!1);return n.runWebGLProgram(p,[r],r.dtype)}var fZ={kernelName:ei,backendName:"webgl",kernelFunc:mZ};function gZ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dataFormat:l,dimRoundingMode:c}=a,u=[1,1,1],p=E.computePool3DInfo(r.shape,s,i,u,o,c,l),d=new Qv(p,"max",!1);return n.runWebGLProgram(d,[r],r.dtype)}var yZ={kernelName:Tc,backendName:"webgl",kernelFunc:gZ},bZ=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,n=e.strideWidth,a=e.dilationHeight,r=e.effectiveFilterHeight,s=e.effectiveFilterWidth,i=r-1-e.padInfo.top,o=s-1-e.padInfo.left,l=r*s-1;this.userCode= `
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const ivec2 pads = ivec2 ( $ { i } , $ { o } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
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ivec2 dyRCCorner = coords . yz - pads ;
int dyRCorner = dyRCCorner . x ;
int dyCCorner = dyRCCorner . y ;
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// 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 ;
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for ( int wR = 0 ; wR < $ { r } ;
wR += $ { a } ) {
float dyR = float ( dyRCorner + wR ) / $ { t } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
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continue ;
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}
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int idyR = int ( dyR ) ;
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for ( int wC = 0 ; wC < $ { s } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { n } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
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fract ( dyC ) > 0.0 ) {
continue ;
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}
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int idyC = int ( dyC ) ;
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float dyValue = getDy ( b , idyR , idyC , d ) ;
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int maxPosValue = $ { l } - int ( getMaxPos ( b , idyR , idyC , d ) ) ;
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// Get the current value, check it against the value from the
// position matrix.
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int curPosValue = wR * $ { s } + wC ;
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float mask = float ( maxPosValue == curPosValue ? 1.0 : 0.0 ) ;
dotProd += dyValue * mask ;
}
}
setOutput ( dotProd ) ;
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}
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` }},xZ=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,n=e.strideHeight,a=e.strideWidth,r=e.dilationDepth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterDepth,l=e.effectiveFilterHeight,c=e.effectiveFilterWidth,u=o-1-e.padInfo.front,p=l-1-e.padInfo.top,d=c-1-e.padInfo.left,h=o*l*c-1;this.userCode= `
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const ivec3 pads = ivec3 ( $ { u } , $ { p } , $ { d } ) ;
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void main ( ) {
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ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
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ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
int dyDCorner = dyCorner . x ;
int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
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// 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 ;
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for ( int wD = 0 ; wD < $ { o } ;
wD += $ { r } ) {
float dyD = float ( dyDCorner + wD ) / $ { t } . 0 ;
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if ( dyD < 0.0 || dyD >= $ { e . outDepth } . 0 || fract ( dyD ) > 0.0 ) {
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continue ;
}
int idyD = int ( dyD ) ;
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for ( int wR = 0 ; wR < $ { l } ;
wR += $ { s } ) {
float dyR = float ( dyRCorner + wR ) / $ { n } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 ||
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fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
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for ( int wC = 0 ; wC < $ { c } ;
wC += $ { i } ) {
float dyC = float ( dyCCorner + wC ) / $ { a } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
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fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
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float dyValue = getDy ( batch , idyD , idyR , idyC , ch ) ;
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int maxPosValue = $ { h } -
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int ( getMaxPos ( batch , idyD , idyR , idyC , ch ) ) ;
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// 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 ) ;
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dotProd += dyValue * mask ;
}
}
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}
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setOutput ( dotProd ) ;
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}
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` }};function vZ(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s,{filterSize:o,strides:l,pad:c,dimRoundingMode:u}=a,p=[1,1,1],d=E.computePool3DInfo(i.shape,o,l,p,c,u),h=new Qv(d,"max",!0),m=n.runWebGLProgram(h,[i],i.dtype),f=new xZ(d),g=n.runWebGLProgram(f,[r,m],i.dtype);return n.disposeIntermediateTensorInfo(m),g}var wZ={kernelName:sh,backendName:"webgl",kernelFunc:vZ};function kZ(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s,output:i}=t,o=s;_p([s,i],"maxPoolGrad");let{filterSize:l,strides:c,pad:u,dimRoundingMode:p}=a,d=E.computePool2DInfo(o.shape,l,c,1,u,p),h=!0,m=new Fp(d,"max",h),f=n.runWebGLProgram(m,[o],o.dtype),g=new bZ(d),y=n.runWebGLProgram(g,[r,f],o.dtype);return n.disposeIntermediateTensorInfo(f),y}var IZ={kernelName:rh,backendName:"webgl",kernelFunc:kZ};function NZ(e,t,n,a){let r=new Fp(n,"max",!1),s=a.runWebGLProgram(r,[e],"float32");r=new Fp(n,"max",!0,!0,t);let i=a.runWebGLProgram(r,[e],"float32");return[s,i]}var TZ={kernelName:ih,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:a}=e,{filterSize:r,strides:s,pad:i,includeBatchInIndex:o}=t,l=n;k.assert(a.shape.length===4,()=> ` Error in maxPool : input must be rank 4 but got rank $ { a . shape . length } . ` );let c=[1,1];k.assert(E.eitherStridesOrDilationsAreOne(s,c),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { s } and dilations '${c}' ` );let u=E.computePool2DInfo(a.shape,r,s,c,i),[p,d]=NZ(a,o,u,l);return[p,d]}};function SZ(e,t,n,a){let r=k.sizeFromShape(t),s=k.sizeFromShape(e.shape)/r,i=ve({inputs:{x:e},attrs:{shape:[s,r]},backend:a}),o=Qi(i,"float32","mean",a),l=ve({inputs:{x:o},attrs:{shape:n},backend:a});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}var CZ={kernelName:ti,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:a}=e,{keepDims:r,axis:s}=t,i=n,o=a.shape.length,l=k.parseAxisParam(s,a.shape),c=l,u=E.getAxesPermutation(c,o),p=u!=null,d=i.shouldExecuteOnCPU([a]),h=[],m=a;if(p){if(d){let v=i.texData.get(m.dataId).values,x=new Array(o);for(let C=0;C<x.length;C++)x[C]=a.shape[u[C]];let N=Yv(v,a.shape,a.dtype,u,x);m=i.makeTensorInfo(x,a.dtype);let T=i.texData.get(m.dataId);T.values=N}else m=of(a,u,i);h.push(m),c=E.getInnerMostAxes(c.length,o)}E.assertAxesAreInnerMostDims("sum",c,o);let[f,g]=E.computeOutAndReduceShapes(m.shape,c),y=f;r&&(y=E.expandShapeToKeepDim(f,l));let b=SZ(m,g,y,i);for(let v of h)i.disposeIntermediateTensorInfo(v);return b}};function _Z(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=k.parseAxisParam(s,r.shape),c=l,u=E.getAxesPermutation(c,o),p=r;u!=null&&(p=Cn({inputs:{x:r},backend:n,attrs:{perm:u}}),c=E.getInnerMostAxes(c.length,r.shape.length)),E.assertAxesAreInnerMostDims("min",c,o);let[d,h]=E.computeOutAndReduceShapes(p.shape,c),m=k.sizeFromShape(h),f=ve({inputs:{x:p},backend:n,attrs:{shape:[-1,m]}}),g=Qi(f,f.dtype,"min",n),y;if(i){let b=E.expandShapeToKeepDim(d,l);y=ve({inputs:{x:g},backend:n,attrs:{shape:b}})}else y=ve({inputs:{x:g},backend:n,attrs:{shape:d}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),u!=null&&n.disposeIntermediateTensorInfo(p),y}var EZ={kernelName:ni,backendName:"webgl",kernelFunc:_Z},AZ=kS+ `
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return min ( a , b ) ;
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` ,FZ= `
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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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` +rf+ `
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return result ;
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` , $ Z=sn({opSnippet:AZ,packedOpSnippet:FZ,cpuKernelImpl:LK}),DZ={kernelName:ai,backendName:"webgl",kernelFunc: $ Z},MZ=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((c,u)=>c[0]+e[u]+c[1]);let a=e.length,r=gt(a),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,a),l=n==="reflect"?0:1;if(a===1){this.userCode= `
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int start = $ { s } ;
int end = $ { i } ;
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void main ( ) {
int outC = getOutputCoords ( ) ;
if ( outC < start ) {
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outC = start * 2 - outC - $ { l } ;
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} else if ( outC >= end ) {
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outC = ( end - 1 ) * 2 - outC + $ { l } ;
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}
setOutput ( getX ( outC - start ) ) ;
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}
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` ;return}this.userCode= `
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$ { r } start = $ { r } ( $ { s } ) ;
$ { r } end = $ { r } ( $ { i } ) ;
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void main ( ) {
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$ { r } outC = getOutputCoords ( ) ;
for ( int i = 0 ; i < $ { a } ; i ++ ) {
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if ( outC [ i ] < start [ i ] ) {
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outC [ i ] = start [ i ] * 2 - outC [ i ] - $ { l } ;
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} else if ( outC [ i ] >= end [ i ] ) {
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outC [ i ] = ( end [ i ] - 1 ) * 2 - outC [ i ] + $ { l } ;
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}
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}
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$ { r } coords = outC - start ;
setOutput ( getX ( $ { o } ) ) ;
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}
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` }},RZ=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((h,m)=>h[0]+e[m]+h[1]);let a=e.length,r=gt(a),s=t.map(h=>h[0]).join(","),i=t.map((h,m)=>h[0]+e[m]).join(","),o=gn("rc",a),l=gn("source",a),c= ` $ { o [ a - 1 ] } < $ { this . outputShape [ a - 1 ] } ` ,u=a===1?"source": ` vec2 ( $ { l . slice ( - 2 ) . join ( ) } ) ` ,p=n==="reflect"?0:1,d="";if(a===1){let h= `
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$ { r } source = rc ;
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if ( source < start ) {
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source = start * 2 - source - $ { p } ;
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} else if ( source >= end ) {
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source = ( end - 1 ) * 2 - source + $ { p } ;
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}
source -= start ;
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` ;d= `
$ { r } rc = outputLoc ;
$ { h }
result [ 0 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { u } ) ;
$ { o [ a - 1 ] } += 1 ;
if ( $ { c } ) {
$ { h }
result [ 1 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { u } ) ;
}
` }else{let h= `
$ { r } source = rc ;
$ { r } lt = $ { r } ( lessThan ( source , start ) ) ;
$ { r } gte = $ { r } ( greaterThanEqual ( source , end ) ) ;
$ { r } orig = 1 - ( lt + gte ) ;
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source = orig * source +
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lt * ( start * 2 - source - $ { p } ) +
gte * ( ( end - 1 ) * 2 - source + $ { p } ) ;
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source -= start ;
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` ;d= `
$ { r } rc = outputLoc ;
$ { h }
result [ 0 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { u } ) ;
$ { o [ a - 1 ] } += 1 ;
if ( $ { c } ) {
$ { h }
result [ 1 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { u } ) ;
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}
rc = outputLoc ;
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$ { o [ a - 2 ] } += 1 ;
if ( $ { o [ a - 2 ] } < $ { this . outputShape [ a - 2 ] } ) {
$ { h }
result [ 2 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { u } ) ;
$ { o [ a - 1 ] } += 1 ;
if ( $ { c } ) {
$ { h }
result [ 3 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { u } ) ;
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}
}
` }this.userCode= `
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const $ { r } start = $ { r } ( $ { s } ) ;
const $ { r } end = $ { r } ( $ { i } ) ;
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void main ( ) {
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$ { r } outputLoc = getOutputCoords ( ) ;
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vec4 result = vec4 ( 0. ) ;
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$ { d }
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setOutput ( result ) ;
}
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` }},PZ=({inputs:e,backend:t,attrs:n})=>{let{x:a}=e,{paddings:r,mode:s}=n,i=te().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new RZ(a.shape,r,s):new MZ(a.shape,r,s);return t.runWebGLProgram(i,[a],a.dtype)},OZ={kernelName:Sc,backendName:"webgl",kernelFunc:PZ},LZ= ` if ( b == 0.0 ) return NAN ;
return mod ( a , b ) ; ` ,zZ= `
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vec4 result = mod ( a , b ) ;
vec4 isNaN = vec4 ( equal ( b , vec4 ( 0.0 ) ) ) ;
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` +rf+ `
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return result ;
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` ,BZ=sn({opSnippet:LZ,packedOpSnippet:zZ}),WZ={kernelName:ml,backendName:"webgl",kernelFunc:BZ},VZ=class{constructor(e,t,n){this.variableNames=["probs"],this.outputShape=[e,n],this.userCode= `
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uniform float seed ;
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void main ( ) {
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ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
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float r = random ( seed ) ;
float cdf = 0.0 ;
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for ( int i = 0 ; i < $ { t - 1 } ; i ++ ) {
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cdf += getProbs ( batch , i ) ;
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if ( r < cdf ) {
setOutput ( float ( i ) ) ;
return ;
}
}
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// If no other event happened, last event happened.
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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)}}},UZ= `
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if ( a == b ) {
return 1.0 ;
} ;
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return a / b ; ` ,GZ= `
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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. ;
}
if ( a . w == b . w ) {
result . w = 1. ;
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}
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return result ;
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` ,i2=sn({opSnippet:UZ,packedOpSnippet:GZ,checkOutOfBounds:!0}),HZ={kernelName:Gs,backendName:"webgl",kernelFunc:i2},o2="return a - b;",l2=sn({opSnippet:o2,packedOpSnippet:o2,supportsComplex:!0,cpuKernelImpl:jK}),jZ={kernelName:wi,backendName:"webgl",kernelFunc:l2};function u2(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{dim:s}=a,i=k.parseAxisParam([s],r.shape),o=s2({inputs:{x:r},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),l=E.expandShapeToKeepDim(o.shape,i),c=ve({inputs:{x:o},backend:n,attrs:{shape:l}}),u=l2({inputs:{a:r,b:c},backend:n}),p=e2({inputs:{x:u},backend:n}),d=Zv({inputs:{x:p},backend:n,attrs:{axis:i,keepDims:!1}}),h=ve({inputs:{x:d},backend:n,attrs:{shape:l}}),m=i2({inputs:{a:p,b:h},backend:n});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(h),m}var qZ={kernelName:xi,backendName:"webgl",kernelFunc:u2};function KZ(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{numSamples:s,seed:i,normalized:o}=a,l=o?r:u2({inputs:{logits:r},backend:n,attrs:{dim:r.shape.length-1}}),c=l.shape[0],u=l.shape[1],p=new VZ(c,u,s),d=p.getCustomSetupFunc(i),h=n.runWebGLProgram(p,[l],"int32",d);return o||n.disposeIntermediateTensorInfo(l),h}var XZ={kernelName:oh,backendName:"webgl",kernelFunc:KZ},c2="return -x;";function YZ(e){let{inputs:t,backend:n}=e,{x:a}=t;if(n.shouldExecuteOnCPU([a])){let s=n.texData.get(a.dataId),[i,o]=BK(s.values,a.shape,a.dtype);return n.makeTensorInfo(o,a.dtype,i)}let r;return te().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new Iu(a.shape,c2):r=new gs(a.shape,c2),n.runWebGLProgram(r,[a],a.dtype)}var JZ={kernelName:fl,backendName:"webgl",kernelFunc:YZ},ZZ=er.nonMaxSuppressionV3Impl;function QZ(e){E.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l}=a,c=n.readSync(r.dataId),u=n.readSync(s.dataId),{selectedIndices:p}=ZZ(c,u,i,o,l);return n.makeTensorInfo([p.length],"int32",new Int32Array(p))}var eQ={kernelName:yl,backendName:"webgl",kernelFunc:QZ},tQ=er.nonMaxSuppressionV4Impl;function nQ(e){E.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,padToMaxOutputSize:c}=a,u=n.readSync(r.dataId),p=n.readSync(s.dataId),{selectedIndices:d,validOutputs:h}=tQ(u,p,i,o,l,c);return[n.makeTensorInfo([d.length],"int32",new Int32Array(d)),n.makeTensorInfo([],"int32",new Int32Array([h]))]}var aQ={kernelName:bl,backendName:"webgl",kernelFunc:nQ},rQ=er.nonMaxSuppressionV5Impl;function sQ(e){E.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,softNmsSigma:c}=a,u=n.readSync(r.dataId),p=n.readSync(s.dataId),d=i,h=o,m=l,f=c,{selectedIndices:g,selectedScores:y}=rQ(u,p,d,h,m,f);return[n.makeTensorInfo([g.length],"int32",new Int32Array(g)),n.makeTensorInfo([y.length],"float32",new Float32Array(y))]}var iQ={kernelName:xl,backendName:"webgl",kernelFunc:sQ},oQ=class{constructor(e,t,n,a){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int index = round ( getIndices ( coords . x ) ) ;
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setOutput ( mix ( float ( $ { a } ) , float ( $ { n } ) ,
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float ( index == coords . y ) ) ) ;
}
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` }},lQ=e=>{let{inputs:t,backend:n,attrs:a}=e,{indices:r}=t,{depth:s,onValue:i,offValue:o}=a,l=k.sizeFromShape(r.shape),c=new oQ(l,s,i,o),u=ve({inputs:{x:r},backend:n,attrs:{shape:[l]}}),p=n.runWebGLProgram(c,[u],r.dtype);n.disposeIntermediateTensorInfo(u);let d=[...r.shape,s],h=ve({inputs:{x:p},backend:n,attrs:{shape:d}});return n.disposeIntermediateTensorInfo(p),h},uQ={kernelName:si,backendName:"webgl",kernelFunc:lQ};function df(e){let{inputs:t,backend:n}=e,{x:a}=t;if(a.dtype==="complex64"){let r=Dp({inputs:{input:a},backend:n}),s=df({inputs:{x:r},backend:n}),i=pf({inputs:{input:a},backend:n}),o=df({inputs:{x:i},backend:n}),l=ys({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return aw({attrs:{shape:a.shape,dtype:a.dtype,value:a.dtype==="string"?"":0},backend:n})}var cQ={kernelName:Ol,backendName:"webgl",kernelFunc:df};function p2(e){let{inputs:t,backend:n}=e,{x:a}=t;if(a.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(a.dtype==="complex64"){let r=Dp({inputs:{input:a},backend:n}),s=p2({inputs:{x:r},backend:n}),i=pf({inputs:{input:a},backend:n}),o=df({inputs:{x:i},backend:n}),l=ys({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return aw({attrs:{shape:a.shape,dtype:a.dtype,value:1},backend:n})}var pQ={kernelName:vl,backendName:"webgl",kernelFunc:p2};function dQ(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a;if(t.length===1)return nw({inputs:{input:t[0]},backend:n,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(u=>{k.assertShapesMatch(s,u.shape,"All tensors passed to stack must have matching shapes"),k.assert(i===u.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(u=>{let p=nw({inputs:{input:u},backend:n,attrs:{dim:r}});return o.push(p),p}),c=GS({inputs:l,backend:n,attrs:{axis:r}});return o.forEach(u=>n.disposeIntermediateTensorInfo(u)),c}var hQ={kernelName:wl,backendName:"webgl",kernelFunc:dQ},mQ=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((l,c)=>l[0]+e[c]+l[1]);let a=e.length,r=gt(a),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,a);if(a===1){this.userCode= `
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int start = $ { s } ;
int end = $ { i } ;
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void main ( ) {
int outC = getOutputCoords ( ) ;
if ( outC < start || outC >= end ) {
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setOutput ( float ( $ { n } ) ) ;
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} else {
setOutput ( getX ( outC - start ) ) ;
}
}
` ;return}this.userCode= `
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$ { r } start = $ { r } ( $ { s } ) ;
$ { r } end = $ { r } ( $ { i } ) ;
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void main ( ) {
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$ { r } outC = getOutputCoords ( ) ;
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if ( any ( lessThan ( outC , start ) ) || any ( greaterThanEqual ( outC , end ) ) ) {
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setOutput ( float ( $ { n } ) ) ;
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} else {
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$ { r } coords = outC - start ;
setOutput ( getX ( $ { o } ) ) ;
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}
}
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` }},fQ=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((m,f)=>m[0]+e[f]+m[1]);let a=e.length,r=gt(a),s=t.map(m=>m[0]).join(","),i=t.map((m,f)=>m[0]+e[f]).join(","),o=gn("rc",a),l=gn("source",a),c= ` $ { o [ a - 1 ] } < $ { this . outputShape [ a - 1 ] } ` ,u=a===1?"source": ` vec2 ( $ { l . slice ( - 2 ) . join ( ) } ) ` ,p=[ ` $ { r } rc = outputLoc ; ` , ` $ { o [ a - 1 ] } += 1 ;
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if ( $ { c } ) {
` ,a===1?"": ` }
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rc = outputLoc ;
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$ { o [ a - 2 ] } += 1 ;
if ( $ { o [ a - 2 ] } < $ { this . outputShape [ a - 2 ] } ) { ` ,a===1?"": ` $ { o [ a - 1 ] } += 1 ;
if ( $ { c } ) { ` ],d=a===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",h="";for(let m=0,f=a===1?2:4;m<f;m++)h+= `
$ { p [ m ] }
if ( $ { d } ) {
result [ $ { m } ] = float ( $ { n } ) ;
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} else {
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$ { r } source = rc - start ;
result [ $ { m } ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { u } ) ;
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}
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` ;h+=a===1?"} ":"}}",this.userCode= `
const $ { r } start = $ { r } ( $ { s } ) ;
const $ { r } end = $ { r } ( $ { i } ) ;
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void main ( ) {
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$ { r } outputLoc = getOutputCoords ( ) ;
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vec4 result = vec4 ( 0. ) ;
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$ { h }
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setOutput ( result ) ;
}
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` }},d2=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{paddings:s,constantValue:i}=a,o=te().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new fQ(r.shape,s,i):new mQ(r.shape,s,i);return n.runWebGLProgram(o,[r],r.dtype)},gQ={kernelName:ii,backendName:"webgl",kernelFunc:d2},yQ= `
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if ( a < 0.0 && floor ( b ) < b ) {
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return NAN ;
}
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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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` ,bQ= `
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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 ;
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vec4 isNaN = vec4 ( lessThan ( a , vec4 ( 0.0 ) ) ) * vec4 ( lessThan ( floor ( b ) , b ) ) ;
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` +rf+ `
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return result ;
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` ,xQ=sn({opSnippet:yQ,packedOpSnippet:bQ}),vQ={kernelName:oi,backendName:"webgl",kernelFunc:xQ};function wQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=[],c=k.parseAxisParam(s,r.shape),u=c,p=E.getAxesPermutation(u,o),d=r;p!=null&&(d=Cn({inputs:{x:r},backend:n,attrs:{perm:p}}),u=E.getInnerMostAxes(u.length,o),l.push(d)),E.assertAxesAreInnerMostDims("prod",u,o);let h;if(n.shouldExecuteOnCPU([d])){let m=n.texData.get(d.dataId).values,{outVals:f,outShape:g,outDtype:y}=WK(d.shape,d.dtype,m,u);h=n.makeTensorInfo(g,y,f)}else{let[m,f]=E.computeOutAndReduceShapes(d.shape,u),g=k.sizeFromShape(f),y=ve({inputs:{x:d},backend:n,attrs:{shape:[-1,g]}}),b=bh(r.dtype),v=Qi(y,b,"prod",n);h=ve({inputs:{x:v},backend:n,attrs:{shape:m}}),l.push(y),l.push(v)}if(i){l.push(h);let m=E.expandShapeToKeepDim(h.shape,c);h=ve({inputs:{x:h},backend:n,attrs:{shape:m}})}return l.forEach(m=>n.disposeIntermediateTensorInfo(m)),h}var kQ={kernelName:kl,backendName:"webgl",kernelFunc:wQ},h2=e=>{let{backend:t,attrs:n}=e,{start:a,stop:r,step:s,dtype:i}=n,o=VK(a,r,s,i);return t.makeTensorInfo([o.length],i,o)},IQ={kernelName:Cc,backendName:"webgl",kernelFunc:h2},NQ="return 1.0 / x;",TQ=Je({opSnippet:NQ}),SQ={kernelName:Il,backendName:"webgl",kernelFunc:TQ},CQ=La+ `
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return ( x < 0.0 ) ? 0.0 : x ;
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` ,_Q= `
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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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` ,EQ=Je({opSnippet:CQ,packedOpSnippet:_Q}),AQ={kernelName:ui,backendName:"webgl",kernelFunc:EQ},FQ=La+ `
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return ( x < 0.0 ) ? 0.0 : min ( 6.0 , x ) ;
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` , $ Q= `
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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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` ,DQ=Je({opSnippet:FQ,packedOpSnippet: $ Q}),MQ={kernelName:pi,backendName:"webgl",kernelFunc:DQ},RQ=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let c=[a&&t>1?i-1:i,a&&n>1?o-1:o],u=[a&&t>1?t-1:t,a&&n>1?n-1:n],p;r?p="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":p="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 ] } ) ;
const vec2 inputShapeRC = vec2 ( $ { i } . 0 , $ { o } . 0 ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 yRC = coords . yz ;
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// Fractional source index.
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vec2 sourceFracIndexRC = $ { p } ;
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// 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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` }},PQ=class{constructor(e,t,n,a,r){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=[a&&t>1?i-1:i,a&&n>1?o-1:o],u=[a&&t>1?t-1:t,a&&n>1?n-1:n],p;r?p="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":p="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 ] } ) ;
const vec3 inputShapeRC = vec3 ( $ { i } . 0 , $ { o } . 0 ,
$ { o } . 0 ) ;
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float getAValue ( int b , int r , int c , int d ) {
return getChannel ( getA ( b , r , c , d ) , vec2 ( c , d ) ) ;
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}
void main ( ) {
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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 ) ;
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// Fractional source index.
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vec3 sourceFracIndexRC = $ { p } ;
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// 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.
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bool hasNextCol = d < $ { l - 1 } ;
bool hasNextRow = coords . z < $ { n - 1 } ;
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// 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 OQ(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,c]=o,u=te().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new PQ(r.shape,l,c,s,i):new RQ(r.shape,l,c,s,i);return n.runWebGLProgram(u,[r],"float32")}var LQ={kernelName:ci,backendName:"webgl",kernelFunc:OQ},zQ=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,a,r]=t,[,s,i]=e,o=[n&&s>1?a-1:a,n&&i>1?r-1:r],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],c=o[0]/l[0],u=o[1]/l[1],p=1/c,d=1/u,h=Math.ceil(p)*2+2,m=Math.ceil(d)*2+2;this.userCode= `
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void main ( ) {
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ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
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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 ( $ { p } ) ;
const float invWidthScale = float ( $ { d } ) ;
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const int winHeight = int ( $ { h } ) ;
const int winWidth = int ( $ { m } ) ;
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// 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
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if ( dyR < 0 || dyR >= $ { s } ) {
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continue ;
}
for ( int dyCOffset = 0 ; dyCOffset < winWidth ; dyCOffset ++ ) {
int dyC = dyCOffset + startDyC ;
// Guard against the window exceeding the bounds of dy
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if ( dyC < 0 || dyC >= $ { i } ) {
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continue ;
}
float dxR = float ( dyR ) * heightScale ;
int topDxRIndex = int ( floor ( dxR ) ) ;
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int bottomDxRIndex = int ( min ( ceil ( dxR ) , $ { a - 1 } . 0 ) ) ;
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float dxRLerp = dxR - float ( topDxRIndex ) ;
float inverseDxRLerp = 1.0 - dxRLerp ;
float dxC = float ( dyC ) * widthScale ;
int leftDxCIndex = int ( floor ( dxC ) ) ;
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int rightDxCIndex = int ( min ( ceil ( dxC ) , $ { r - 1 } . 0 ) ) ;
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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 ;
}
}
}
// End loop over dy
setOutput ( accumulator ) ;
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}
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` }};function BQ(e){let{inputs:t,backend:n,attrs:a}=e,{images:r,dy:s}=t,{alignCorners:i}=a,o=new zQ(s.shape,r.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var WQ={kernelName:ch,backendName:"webgl",kernelFunc:BQ},VQ=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let c=[a&&t>1?i-1:i,a&&n>1?o-1:o],u=[a&&t>1?t-1:t,a&&n>1?n-1:n],p=a?"0.5":"0.0",d;r?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 ] } ) ;
const vec2 inputShapeRC = vec2 ( $ { i } . 0 , $ { o } . 0 ) ;
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void main ( ) {
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ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 yRC = coords . yz ;
// Fractional source index.
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vec2 sourceFracIndexRC = $ { d } ;
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// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestRC = ivec2 (
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min ( inputShapeRC - 1.0 , floor ( sourceFracIndexRC + $ { p } ) ) ) ;
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float newValue = getA ( b , sourceNearestRC . x , sourceNearestRC . y , d ) ;
setOutput ( newValue ) ;
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}
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` }};function UQ(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,c]=o,u=new VQ(r.shape,l,c,s,i);return n.runWebGLProgram(u,[r],r.dtype)}var GQ={kernelName:_c,backendName:"webgl",kernelFunc:UQ},HQ=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,a,r]=t,[,s,i]=e,o=[n&&s>1?a-1:a,n&&i>1?r-1:r],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],c=o[0]/l[0],u=o[1]/l[1],p=1/c,d=1/u,h=Math.ceil(p)*2+2,m=Math.ceil(d)*2+2;this.userCode= `
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void main ( ) {
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ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
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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 ( $ { p } ) ;
const float invWidthScale = float ( $ { d } ) ;
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const int winHeight = int ( $ { h } ) ;
const int winWidth = int ( $ { m } ) ;
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// Compute bounds for where in dy we will look
float startRLerp = floor ( float ( r ) * invHeightScale ) ;
int startDyR = int ( floor ( startRLerp - float ( winHeight / 2 ) ) ) ;
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float startCLerp = floor ( float ( c ) * invWidthScale ) ;
int startDyC = int ( floor ( startCLerp - float ( winWidth / 2 ) ) ) ;
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// Loop over dy
for ( int dyROffset = 0 ; dyROffset < winHeight ; dyROffset ++ ) {
int dyR = dyROffset + startDyR ;
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// Guard against the window exceeding the bounds of dy
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if ( dyR < 0 || dyR >= $ { s } ) {
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continue ;
}
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for ( int dyCOffset = 0 ; dyCOffset < winWidth ; dyCOffset ++ ) {
int dyC = dyCOffset + startDyC ;
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// Guard against the window exceeding the bounds of dy
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if ( dyC < 0 || dyC >= $ { i } ) {
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continue ;
}
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float sourceFracRow =
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float ( $ { o [ 0 ] } ) *
( float ( dyR ) / float ( $ { l [ 0 ] } ) ) ;
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float sourceFracCol =
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float ( $ { o [ 1 ] } ) *
( float ( dyC ) / float ( $ { l [ 1 ] } ) ) ;
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int sourceNearestRow = int ( min (
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float ( int ( $ { a } ) - 1 ) ,
$ { n } ? float ( round ( sourceFracRow ) ) :
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float ( floor ( sourceFracRow ) ) ) ) ;
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int sourceNearestCol = int ( min (
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float ( int ( $ { r } ) - 1 ) ,
$ { n } ? float ( round ( sourceFracCol ) ) :
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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
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setOutput ( accumulator ) ;
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}
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` }};function jQ(e){let{inputs:t,backend:n,attrs:a}=e,{images:r,dy:s}=t,{alignCorners:i}=a,o=new HQ(s.shape,r.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var qQ={kernelName:uh,backendName:"webgl",kernelFunc:jQ},KQ=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 ( ) ;
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setOutput ( getX ( $ { e [ 0 ] } - coord - 1 ) ) ;
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}
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` ;return}let a=i=>t.indexOf(i)!==-1&&e[i]!==1? ` $ { e [ i ] } - coords [ $ { i } ] - 1 ` : ` coords [ $ { i } ] ` ,r=e.map((i,o)=>a(o)).join(","),s=gt(n);this.userCode= `
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void main ( ) {
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$ { s } coords = getOutputCoords ( ) ;
setOutput ( getX ( $ { r } ) ) ;
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}
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` }},XQ=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 a=gn("rc",n),r= ` $ { a [ n - 1 ] } + 1 < $ { this . outputShape [ n - 1 ] } ` ,s= ` $ { a [ n - 2 ] } + 1 < $ { this . outputShape [ n - 2 ] } ` ,i=gt(n);n===1?this.userCode= `
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void main ( ) {
int rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
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result . r = getChannel ( getX ( $ { e [ 0 ] } - rc - 1 ) ,
$ { e [ 0 ] } - rc - 1 ) ;
if ( $ { r } ) {
result . g = getChannel ( getX ( $ { e [ 0 ] } - ( rc + 1 ) - 1 ) ,
$ { e [ 0 ] } - ( rc + 1 ) - 1 ) ;
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}
setOutput ( result ) ;
}
` :this.userCode= `
void main ( ) {
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$ { i } rc = getOutputCoords ( ) ;
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vec4 result = vec4 ( 0. ) ;
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result . r = $ { o ( a . slice ( ) ) } ;
if ( $ { r } ) {
result . g = $ { l ( a . slice ( ) ) } ;
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}
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if ( $ { s } ) {
result . b = $ { c ( a . slice ( ) ) } ;
if ( $ { r } ) {
result . a = $ { u ( a . slice ( ) ) } ;
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}
}
setOutput ( result ) ;
}
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` ;function o(h){return p(h)}function l(h){return h[n-1]="("+h[n-1]+" + 1)",p(h)}function c(h){return h[n-2]="("+h[n-2]+" + 1)",p(h)}function u(h){return h[n-1]="("+h[n-1]+" + 1)",h[n-2]="("+h[n-2]+" + 1)",p(h)}function p(h){let m=e.map((y,b)=>d(b,h)),f=m.join(","),g=m.slice(-2).join(",");return ` getChannel ( getX ( $ { f } ) , vec2 ( $ { g } ) ) ` }function d(h,m){return t.indexOf(h)!==-1&&e[h]!==1? ` $ { e [ h ] } - $ { m [ h ] } - 1 ` : ` $ { m [ h ] } ` }}};function YQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dims:s}=a,i=r.shape.length,o=k.parseAxisParam(s,r.shape);if(i===0)return Wn({inputs:{x:r},backend:n});let l=te().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new XQ(r.shape,o):new KQ(r.shape,o);return n.runWebGLProgram(l,[r],r.dtype)}var JQ={kernelName:di,backendName:"webgl",kernelFunc:YQ},ZQ=class{constructor(e,t,n,a){this.variableNames=["Image"],this.outputShape=[];let r=e[1],s=e[2],i=Math.sin(t).toFixed(3),o=Math.cos(t).toFixed(3);this.outputShape=e;let[l,c]=E.getImageCenter(a,r,s),u=l.toFixed(3),p=c.toFixed(3),d="";typeof n=="number"?d= ` float outputValue = $ { n . toFixed ( 2 ) } ; ` :d= `
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vec3 fill = vec3 ( $ { n . join ( "," ) } ) ;
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float outputValue = fill [ coords [ 3 ] ] ; ` ,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int x = coords [ 2 ] ;
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int y = coords [ 1 ] ;
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float coordXFloat = ( float ( x ) - $ { u } ) * $ { o } - ( float ( y ) - $ { p } ) * $ { i } ;
float coordYFloat = ( float ( x ) - $ { u } ) * $ { i } + ( float ( y ) - $ { p } ) * $ { o } ;
int coordX = int ( round ( coordXFloat + $ { u } ) ) ;
int coordY = int ( round ( coordYFloat + $ { p } ) ) ;
$ { d }
if ( coordX >= 0 && coordX < $ { s } && coordY >= 0 && coordY < $ { r } ) {
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outputValue = getImage ( coords [ 0 ] , coordY , coordX , coords [ 3 ] ) ;
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}
setOutput ( outputValue ) ;
}
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` }},QQ={kernelName:Ll,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{image:a}=e,{radians:r,fillValue:s,center:i}=t,o=n,l=new ZQ(a.shape,r,s,i);return o.runWebGLProgram(l,[a],a.dtype)}},eee= `
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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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` ,tee=Je({opSnippet:eee}),nee={kernelName:hi,backendName:"webgl",kernelFunc:tee},aee="return inversesqrt(x);",ree=Je({opSnippet:aee,cpuKernelImpl:UK}),see={kernelName:mi,backendName:"webgl",kernelFunc:ree},m2=class{constructor(e,t,n,a,r,s,i=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;let o=gt(r.length),l=gt(s.length),c="";n===1?c="i":n===2&&(c="i, j");let u= ` getIndices ( $ { c } ) ` ,p="";a===1?p="i":a===2&&(p="i, coords[1]");let d= ` getUpdates ( $ { p } ) ` ,h=t>1?"strides[j]":"strides";this.userCode= `
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$ { o } strides = $ { o } ( $ { r } ) ;
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void main ( ) {
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$ { l } coords = getOutputCoords ( ) ;
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float sum = 0.0 ;
bool found = false ;
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for ( int i = 0 ; i < $ { e } ; i ++ ) {
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int flattenedIndex = 0 ;
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for ( int j = 0 ; j < $ { t } ; j ++ ) {
int index = round ( $ { u } ) ;
flattenedIndex += index * $ { h } ;
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}
if ( flattenedIndex == coords [ 0 ] ) {
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sum += $ { d } ;
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found = true ;
}
}
setOutput ( mix ( getDefaultValue ( ) , sum , float ( found ) ) ) ;
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}
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` }};function iee(e){let{inputs:t,backend:n,attrs:a}=e,{indices:r,updates:s}=t,{shape:i}=a,{sliceRank:o,numUpdates:l,sliceSize:c,strides:u,outputSize:p}=E.calculateShapes(s,r,i),d=[p/c,c];if(p===0)return n.makeTensorInfo(i,r.dtype);let h=ve({inputs:{x:r},backend:n,attrs:{shape:[l,o]}}),m=ve({inputs:{x:s},backend:n,attrs:{shape:[l,c]}}),f=n.makeTensorInfo([],"float32",new Float32Array([0])),g=new m2(l,o,h.shape.length,m.shape.length,u,d),y=n.runWebGLProgram(g,[m,h,f],m.dtype),b=ve({inputs:{x:y},backend:n,attrs:{shape:i}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(f),b}var oee={kernelName:Tl,backendName:"webgl",kernelFunc:iee},lee=class{constructor(e,t,n){this.variableNames=["c","a","b"],this.outputShape=t;let a,r;if(n>4)throw Error( ` Where for rank $ { n } is not yet supported ` );if(n===1)r="resRC",a="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 ] } ` );a=o.join(),r=l.join()}let s=gt(n);this.userCode= `
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void main ( ) {
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$ { s } resRC = getOutputCoords ( ) ;
float cVal = getC ( $ { a } ) ;
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if ( cVal >= 1.0 ) {
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setOutput ( getA ( $ { r } ) ) ;
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} else {
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setOutput ( getB ( $ { r } ) ) ;
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}
}
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` }};function uee(e){let{inputs:t,backend:n}=e,{condition:a,t:r,e:s}=t,i=new lee(a.shape.length,r.shape,r.shape.length);return n.runWebGLProgram(i,[a,r,s],ha(r.dtype,s.dtype))}var cee={kernelName:Sl,backendName:"webgl",kernelFunc:uee},pee= `
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// Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
// see: https://arxiv.org/abs/1706.02515
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float scaleAlpha = $ { E . SELU _SCALEALPHA } ;
float scale = $ { E . SELU _SCALE } ;
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return ( x >= 0.0 ) ? scale * x : scaleAlpha * ( exp ( x ) - 1.0 ) ;
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` ,dee=Je({opSnippet:pee}),hee={kernelName:Cl,backendName:"webgl",kernelFunc:dee},mee="return 1.0 / (1.0 + exp(-1.0 * x));",fee=Je({opSnippet:mee}),gee={kernelName:gi,backendName:"webgl",kernelFunc:fee},yee= `
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if ( isnan ( x ) ) { return 0.0 ; }
return sign ( x ) ;
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` ,bee=Je({opSnippet:yee}),xee={kernelName:Al,backendName:"webgl",kernelFunc:bee},vee=CS+ `
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return sin ( x ) ;
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` ,wee=Je({opSnippet:vee}),kee={kernelName:fi,backendName:"webgl",kernelFunc:wee},Iee= `
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float e2x = exp ( x ) ;
return ( e2x - 1.0 / e2x ) / 2.0 ;
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` ,Nee=Je({opSnippet:Iee}),Tee={kernelName:El,backendName:"webgl",kernelFunc:Nee},See= `
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float epsilon = 1.1920928955078125 e - 7 ;
float threshold = log ( epsilon ) + 2.0 ;
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bool too _large = x > - threshold ;
bool too _small = x < threshold ;
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float result ;
float exp _x = exp ( x ) ;
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if ( too _large ) {
result = x ;
}
else if ( too _small ) {
result = exp _x ;
}
else {
result = log ( exp _x + 1.0 ) ;
}
return result ;
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` ,Cee=Je({opSnippet:See}),_ee={kernelName:Fl,backendName:"webgl",kernelFunc:Cee},Eee=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,paddings:i}=a;k.assert(r.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((y,b)=>y*b),l=[[0,0]];l.push(...i);for(let y=1+s.length;y<r.shape.length;++y)l.push([0,0]);let c=[],u=d2({inputs:{x:r},backend:n,attrs:{paddings:l,constantValue:0}}),p=E.getReshaped(u.shape,s,o,!1),d=E.getPermuted(p.length,s.length,!1),h=E.getReshapedPermuted(u.shape,s,o,!1),m=ve({inputs:{x:u},backend:n,attrs:{shape:p}}),f=Cn({inputs:{x:m},backend:n,attrs:{perm:d}}),g=ve({inputs:{x:f},backend:n,attrs:{shape:h}});return c.push(u),c.push(m),c.push(f),c.forEach(y=>n.disposeIntermediateTensorInfo(y)),g},Aee={kernelName:Ec,backendName:"webgl",kernelFunc:Eee};function Fee(e){let{inputs:t,backend:n,attrs:a}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=a,{sliceRank:l,numUpdates:c,strides:u,outputSize:p}=E.calculateShapes(s,r,o),d=!1,h=new m2(c,l,r.shape.length,s.shape.length,u,[p,1],d),m=n.runWebGLProgram(h,[s,r,i],s.dtype),f=ve({inputs:{x:m},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(m),f}var $ ee={kernelName:ph,backendName:"webgl",kernelFunc:Fee};function Dee(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=a,o=k.parseAxisParam(i,r.shape)[0],l=E.prepareSplitSize(r,s,o),c=r.shape.length,u=new Array(c).fill(0),p=r.shape.slice();return l.map(d=>{let h=[...p];h[o]=d;let m= $ p({inputs:{x:r},backend:n,attrs:{begin:u,size:h}});return u[o]+=d,m})}var Mee={kernelName: $ l,backendName:"webgl",kernelFunc:Dee},Ree="return sqrt(x);",Pee=Je({opSnippet:Ree}),Oee={kernelName:yi,backendName:"webgl",kernelFunc:Pee},Lee="return x * x;",zee=Je({opSnippet:Lee}),Bee={kernelName:Ac,backendName:"webgl",kernelFunc:zee},f2="return (a - b) * (a - b);",Wee=sn({opSnippet:f2,packedOpSnippet:f2}),Vee={kernelName:vi,backendName:"webgl",kernelFunc:Wee};function Uee({inputs:e,attrs:t,backend:n}){let{x:a}=e,r=La+ `
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return x > 0.0 ? 1.0 : float ( $ { t . alpha } ) ;
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` ,s=new gs(a.shape,r);return n.runWebGLProgram(s,[a],a.dtype)}var Gee={kernelName:Kr,backendName:"webgl",kernelFunc:Uee},Hee=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=n;let a=n.length,r=gt(n.length),s=gt(n.length),i="";if(a===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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$ { r } begin = $ { r } ( $ { e } ) ;
$ { r } strides = $ { r } ( $ { t } ) ;
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void main ( ) {
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$ { s } coords = getOutputCoords ( ) ;
setOutput ( getX ( $ { i } ) ) ;
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}
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` }};function jee(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:c,ellipsisMask:u,newAxisMask:p,shrinkAxisMask:d}=a,{nonStrided:h, $ begin:m, $ strides:f,size:g,newShape:y,outShape:b}=dn.sliceInfo(r.shape,s,i,o,l,c,u,p,d),v=ve({inputs:{x:r},backend:n,attrs:{shape:y}}),x;if(h){let T= $ p({inputs:{x:v},backend:n,attrs:{begin:m,size:g}});x=ve({inputs:{x:T},backend:n,attrs:{shape:b}}),n.disposeIntermediateTensorInfo(T)}else if(b.some(T=>T===0))x=n.makeTensorInfo(b,r.dtype,[]);else if(n.shouldExecuteOnCPU([v])){let T=n.texData.get(v.dataId).values,C=Le(v.shape,v.dtype,T), $ =HK(b,C,f,m);x=n.makeTensorInfo(b,v.dtype, $ .values)}else{let T=new Hee(m,f,b);x=n.runWebGLProgram(T,[v],v.dtype)}let N=ve({inputs:{x},backend:n,attrs:{shape:b}});return n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(x),N}var qee={kernelName:Dl,backendName:"webgl",kernelFunc:jee},Kee="return tan(x);",Xee=Je({opSnippet:Kee}),Yee={kernelName:Ml,backendName:"webgl",kernelFunc:Xee},Jee= `
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float e2x = exp ( - 2.0 * abs ( x ) ) ;
return sign ( x ) * ( 1.0 - e2x ) / ( 1.0 + e2x ) ;
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` ,Zee=Je({opSnippet:Jee}),Qee={kernelName:ki,backendName:"webgl",kernelFunc:Zee},tte=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 a=gt(this.rank),r=ete(e);this.userCode= `
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void main ( ) {
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$ { a } resRC = getOutputCoords ( ) ;
setOutput ( getA ( $ { r } ) ) ;
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}
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` }};function ete(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"],a=[];for(let r=0;r<e.length;r++)a.push( ` imod ( $ { n [ r ] } , $ { e [ r ] } ) ` );return a.join()}function g2(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{reps:s}=a;if(r.dtype==="string"){let o=n.readSync(r.dataId).map(u=>k.decodeString(u)),l=Le(r.shape,r.dtype,o),c=qK(l,s);return n.makeTensorInfo(c.shape,c.dtype,c.values)}let i=new tte(r.shape,s);return n.runWebGLProgram(i,[r],r.dtype)}var nte={kernelName:qr,backendName:"webgl",kernelFunc:g2};function ate(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{k:s,sorted:i}=a,o=n.readSync(r.dataId),[l,c]=KK(o,r.shape,r.dtype,s,i);return[n.makeTensorInfo(l.shape,l.dtype,l.values),n.makeTensorInfo(c.shape,c.dtype,c.values)]}var rte={kernelName:Rl,backendName:"webgl",kernelFunc:ate};function ste(e){let{inputs:t,attrs:n,backend:a}=e,{axis:r}=n,{x:s}=t;_p(s,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let i=a.readSync(s.dataId),{outputValues:o,outputShape:l,indices:c}=XK(i,r,s.shape,s.dtype);return[a.makeTensorInfo(l,s.dtype,o),a.makeTensorInfo([c.length],"int32",c)]}var ite={kernelName:dh,backendName:"webgl",kernelFunc:ste};function ote(e){let{inputs:t,backend:n,attrs:a}=e,{value:r}=t,{axis:s}=a;s<0&&(s+=r.shape.length);let i=r,o=i.shape.length,l=r.shape[s],c=new Array(o-1),u=0;for(let f=0;f<o;f++)f!==s&&(c[u++]=i.shape[f]);let p=[],d=new Array(o).fill(0),h=i.shape.slice();h[s]=1;let m=new Array(l);for(let f=0;f<m.length;f++){d[s]=f;let g= $ p({inputs:{x:i},backend:n,attrs:{begin:d,size:h}}),y=ve({inputs:{x:g},backend:n,attrs:{shape:c}});m[f]=y,p.push(g)}return p.forEach(f=>n.disposeIntermediateTensorInfo(f)),m}var lte={kernelName:Pl,backendName:"webgl",kernelFunc:ote},ute=class{constructor(e,t){this.variableNames=["x","segmentIds"];let n=e.windowSize,a=e.batchSize,r=e.inSize,s=e.numSegments,i=s*Math.ceil(r/n);this.outputShape=[a,i];let o="0.0",l="sumValue",c=Math.floor(n/4)*4,u=n%4,p= `
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sumValue += dot ( values , segFilter ) ;
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` ,d="";r%n>0&&(d= `
if ( inIdx < 0 || inIdx >= $ { r } ) {
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return initializationValue ;
}
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` );let h="";r%n>0&&(h= `
if ( inIdx < 0 || inIdx >= $ { r } ) {
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return - 1.0 ;
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}
` ),this.userCode= `
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const float initializationValue = $ { o } ;
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float getValue ( int batch , int inIdx ) {
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$ { d }
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return getX ( batch , inIdx ) ;
}
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float getSegmentIdAtIndex ( int inIdx ) {
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$ { h }
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return getSegmentIds ( inIdx ) ;
}
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
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int inOffset = int ( floor ( float ( outIdx ) / float (
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$ { 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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$ { p }
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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
) ;
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$ { p }
} else if ( $ { u === 2 } ) {
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vec4 values = vec4 (
getValue ( batch , inIdx ) ,
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getValue ( batch , inIdx + 1 ) ,
initializationValue ,
initializationValue
) ;
vec4 segFilter = vec4 (
int ( getSegmentIdAtIndex ( inIdx ) ) == currentSeg ? 1 : 0 ,
int ( getSegmentIdAtIndex ( inIdx + 1 ) ) == currentSeg ? 1 : 0 ,
0 ,
0
) ;
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$ { p }
} else if ( $ { u === 3 } ) {
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vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
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getValue ( batch , inIdx + 2 ) ,
initializationValue
) ;
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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 ,
0
) ;
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$ { p }
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}
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setOutput ( $ { l } ) ;
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}
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` }};function cte(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,segmentIds:s}=t,{numSegments:i}=a,o=r.shape.length,l=[],c=0,u=E.getAxesPermutation([c],o),p=r;u!=null&&(p=Cn({inputs:{x:r},backend:n,attrs:{perm:u}}),l.push(p),c=E.getInnerMostAxes(1,o)[0]);let d=E.segment_util.computeOutShape(p.shape,c,i),h=k.sizeFromShape([p.shape[c]]),m=ve({inputs:{x:p},backend:n,attrs:{shape:[-1,h]}});l.push(m);let f=bh(r.dtype),g=(x,N,T,C, $ )=>{let F=x.shape[0],O=x.shape[1],W=E.segment_util.segOpComputeOptimalWindowSize(O, $ ),V={windowSize:W,inSize:O,batchSize:F,numSegments: $ },H=new ute(V,N),K=n.compileAndRun(H,[x,T],C);if(l.push(K),K.shape[1]=== $ )return K;let j=h2({backend:n,attrs:{start:0,stop: $ ,step:1,dtype:"float32"}}),Y=g2({inputs:{x:j},backend:n,attrs:{reps:[O/W]}});return l.push(j),l.push(Y),g(K,N,Y,C, $ )},y=g(m,"unsortedSegmentSum",s,f,i),b=ve({inputs:{x:y},backend:n,attrs:{shape:d}}),v=b;if(u!=null){l.push(b);let x=E.getUndoAxesPermutation(u);v=Cn({inputs:{x:v},backend:n,attrs:{perm:x}})}return l.forEach(x=>n.disposeIntermediateTensorInfo(x)),v}var pte={kernelName:Fc,backendName:"webgl",kernelFunc:cte},dte=[rZ,oZ,jX,KX,JX,eY,nY,sY,oY,uY,hY,fY,bY,wY,_Y,NY,FY,RY,DY,zY,WY,UY,qY,e7,n7,l7,c7,m7,y7,CX,w7,F7,D7,T7,O7,z7,R7,V7,H7,K7,Y7,Z7,tJ,oJ,uJ,aJ,dJ,fJ,xJ,IJ,CJ,AJ,FJ, $ J,MJ,PJ,LJ,BJ,VJ,jJ,YJ,ZJ,e9,a9,o9,p9,f9,SX,y9,v7,v9,I9,S9,EX,A9,M9,P9,U9,B9,q9,Y9,eZ,uZ,yZ,fZ,wZ,IZ,TZ,hZ,CZ,EZ,DZ,OZ,WZ,XZ,MX,JZ,eQ,aQ,iQ,r7,uQ,pQ,hQ,gQ,vQ,FX,kQ,IQ,s7,HZ,SQ,MQ,AQ,PX,LQ,WQ,GQ,qQ,JQ,QQ,nee,see,oee,cee,hee,gee,xee,kee,Tee,ZY,qZ,_ee,Aee, $ ee,Mee,Oee,Bee,Vee,Gee,qee,jZ,UX,Yee,Qee,nte,rte,GX,ite,lte,pte,cQ];for(let e of dte)Dc(e);var hte="2.8.5",mte={"tfjs-core":s1,"tfjs-backend-cpu":GG,"tfjs-backend-webgl":TX,"tfjs-data":jN,"tfjs-layers": $ m,"tfjs-converter":BN,tfjs:hte},Vn;(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"})(Vn||(Vn={}));var Mp;(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"})(Mp||(Mp={}));var y2;function fte(e){y2=e.wasm.cwrap(Ni,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function gte(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t;if(r.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:p}=a,d=n.dataIdMap.get(r.dataId).id,h=n.dataIdMap.get(s.dataId).id,m=0;if(i!=null){let $ =n.dataIdMap.get(i.dataId);if( $ .shape.length!==1)throw new Error( ` _FusedMatMul only supports rank - 1 bias but got rank $ { $ . shape . length } . ` );m= $ .id}let f=o==null?0:n.dataIdMap.get(o.dataId).id,g=Mp[u];if(g==null)throw new Error( ` $ { u } activation not yet supported for FusedConv2D in the wasm backend . ` );let y=l?r.shape[2]:r.shape[1],b=c?s.shape[1]:s.shape[2],v=r.shape[0],x=n.makeOutput([v,y,b],r.dtype),N=n.dataIdMap.get(x.dataId).id,T=new Uint8Array(new Int32Array(r.shape).buffer),C=new Uint8Array(new Int32Array(s.shape).buffer);return y2(d,T,r.shape.length,h,C,s.shape.length,l,c,g,m,f,p||0,N),x}var yte={kernelName:Ni,backendName:"wasm",setupFunc:fte,kernelFunc:gte};function Un(e){let t;function n(r){t=r.wasm.cwrap(e,null,["number","number"])}function a(r){let{backend:s,inputs:{x:i}}=r,o=s.dataIdMap.get(i.dataId).id,l=s.makeOutput(i.shape,i.dtype),c=s.dataIdMap.get(l.dataId).id;return k.sizeFromShape(l.shape)===0||t(o,c),l}return{kernelName:e,backendName:"wasm",setupFunc:n,kernelFunc:a}}var bte=Un(Lo);function yn(e,t,n){let a;function r(i){a=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,p=o.dataIdMap.get(c.dataId).id,d=o.dataIdMap.get(u.dataId).id,h=n!=null?n:c.dtype,m=E.assertAndGetBroadcastShape(c.shape,u.shape),f=o.makeOutput(m,h);if(k.sizeFromShape(m)===0)return f;let g=new Uint8Array(new Int32Array(c.shape).buffer),y=new Uint8Array(new Int32Array(u.shape).buffer),b=o.dataIdMap.get(f.dat
2020-10-11 18:41:17 +02:00
/ * *
* @ license
* Copyright 2017 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2018 Google LLC
*
* Use of this source code is governed by an MIT - style
* license that can be found in the LICENSE file or at
* https : //opensource.org/licenses/MIT.
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2018 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
*
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2018 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2019 Google LLC
*
* Use of this source code is governed by an MIT - style
* license that can be found in the LICENSE file or at
* https : //opensource.org/licenses/MIT.
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2019 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
*
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2019 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google Inc . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google LLC
*
* Use of this source code is governed by an MIT - style
* license that can be found in the LICENSE file or at
* https : //opensource.org/licenses/MIT.
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the License ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an AS IS BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
2021-01-10 16:35:51 +01:00
/ * *
* @ license
* Copyright 2021 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* 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 .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
2020-10-11 18:41:17 +02:00
/** @license See the LICENSE file. */
//# sourceMappingURL=face-api.js.map