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/ *
Human library
homepage : < https : //github.com/vladmandic/human>
author : < https : //github.com/vladmandic>'
* /
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var _3 = Object . defineProperty ; var tR = e => _3 ( e , "__esModule" , { value : ! 0 } ) ; var Qg = e => { if ( typeof require != "undefined" ) return require ( e ) ; throw new Error ( 'Dynamic require of "' + e + '" is not supported' ) } ; var R3 = ( e , t ) => { tR ( e ) ; for ( var n in t ) _3 ( e , n , { get : t [ n ] , enumerable : ! 0 } ) } ; var D3 = ( e , t , n ) => { if ( ! t . has ( e ) ) throw TypeError ( "Cannot " + n ) } ; var Fn = ( e , t , n ) => ( D3 ( e , t , "read from private field" ) , n ? n . call ( e ) : t . get ( e ) ) , Ir = ( e , t , n ) => { if ( t . has ( e ) ) throw TypeError ( "Cannot add the same private member more than once" ) ; t instanceof WeakSet ? t . add ( e ) : t . set ( e , n ) } , Qr = ( e , t , n , r ) => ( D3 ( e , t , "write to private field" ) , r ? r . call ( e , n ) : t . set ( e , n ) , n ) ; function $t ( e , t ) { let n = e . endsWith ( "/" ) ? "" : "/" , s = t . startsWith ( "." ) || t . startsWith ( "/" ) || t . startsWith ( "http:" ) || t . startsWith ( "https:" ) || t . startsWith ( "file:" ) ? ` ${ t } ` : ` ${ e } ${ n } ${ t } ` ; if ( ! s . toLocaleLowerCase ( ) . includes ( ".json" ) ) throw new Error ( ` Human: ModelPath Error: ${ s } Expecting JSON file ` ) ; return s } function me ( ... e ) { let t = new Date , n = ` ${ t . getHours ( ) . toString ( ) . padStart ( 2 , "0" ) } : ${ t . getMinutes ( ) . toString ( ) . padStart ( 2 , "0" ) } : ${ t . getSeconds ( ) . toString ( ) . padStart ( 2 , "0" ) } . ${ t . getMilliseconds ( ) . toString ( ) . padStart ( 3 , "0" ) } ` ; e && console . log ( n , "Human:" , ... e ) } var at = ( ) => typeof performance != "undefined" ? performance . now ( ) : parseInt ( ( Number ( process . hrtime . bigint ( ) ) / 1e3 / 1e3 ) . toString ( ) ) ; function lr ( ... e ) { let t = n => n && typeof n == "object" ; return e . reduce ( ( n , r ) => ( Object . keys ( r || { } ) . forEach ( s => { let a = n [ s ] , o = r [ s ] ; Array . isArray ( a ) && Array . isArray ( o ) ? n [ s ] = a . concat ( ... o ) : t ( a ) && t ( o ) ? n [ s ] = lr ( a , o ) : n [ s ] = o } ) , n ) , { } ) } var F3 = { backend : "webgl" , modelBasePath : "../models/" , wasmPath : "../node_modules/@tensorflow/tfjs-backend-wasm/dist/" , debug : ! 0 , async : ! 0 , warmup : "full" , cacheSensitivity : . 75 , skipFrame : ! 1 , filter : { enabled : ! 0 , width : 0 , height : 0 , flip : ! 1 , return : ! 0 , brightness : 0 , contrast : 0 , sharpness : 0 , blur : 0 , saturation : 0 , hue : 0 , negative : ! 1 , sepia : ! 1 , vintage : ! 1 , kodachrome : ! 1 , technicolor : ! 1 , polaroid : ! 1 , pixelate : 0 } , gesture : { enabled : ! 0 } , face : { enabled : ! 0 , detector : { modelPath : "blazeface.json" , rotation : ! 0 , maxDetected : 15 , skipFrames : 15 , minConfidence : . 2 , iouThreshold : . 1 , return : ! 1 } , mesh : { enabled : ! 0 , modelPath : "facemesh.json" } , iris : { enabled : ! 0 , modelPath : "iris.json" } , description : { enabled : ! 0 , modelPath : "faceres.json" , skipFrames : 11 , minConfidence : . 1 } , emotion : { enabled : ! 0 , minConfidence : . 1 , skipFrames : 17 , modelPath : "emotion.json" } } , body : { enabled : ! 0 , modelPath : "movenet-lightning.json" , maxDetected : 1 , minConfidence : . 2 , skipFrames : 1 } , hand : { enabled : ! 0 , rotation : ! 0 , skipFrames : 18 , minConfidence : . 1 , iouThreshold : . 1 , maxDetected : 2 , landmarks : ! 0 , detector : { modelPath : "handdetect.json" } , skeleton : { modelPath : "handskeleton.json" } } , object : { enabled : ! 1 , modelPath : "mb3-centernet.json" , minConfidence : . 2 , iouThreshold : . 4 , maxDetected : 10 , skipFrames : 19 } , segmentation : { enabled : ! 1 , modelPath : "selfie.json" } } ; function M3 ( ) { let e , t ; if ( typeof navigator != "undefined" ) { let n = navigator . userAgent . match ( /\(([^()]+)\)/g ) ; if ( n && n [ 0 ] ) { let r = n [ 0 ] . match ( /\(([^()]+)\)/g ) ; e = r ? r [ 0 ] . replace ( /\(|\)/g , "" ) : "" , t = navigator . userAgent . replace ( n [ 0 ] , "" ) , e [ 1 ] && ( t = t . replace ( n [ 1 ] , "" ) ) , t = t . replace ( / /g , " " ) } } else typeof process != "undefined" && ( e = ` ${ process . platform } ${ process . arch } ` , t = ` NodeJS ${ process . version } ` ) ; return { platform : e , agent : t } } var bh = { } ; R3 ( bh , { Abs : ( ) => tv , Acos : ( ) => nv , Acosh : ( ) => rv , AdadeltaOptimizer : ( ) => Fp , AdagradOptimizer : ( ) => Mp , AdamOptimizer : ( ) => Op , AdamaxOptimizer : ( ) => Pp , Add : ( ) => i2 , AddN : ( ) => sv , All : ( ) => av , Any : ( ) => ov , ArgMax : ( ) => iv , ArgMin : ( ) => lv , Asin : ( ) => uv , Asinh : ( ) => cv , Atan : ( ) => dv , Atan2 : ( ) => pv , Atanh : ( ) => hv , AvgPool : ( ) => fv , AvgPool3D : ( ) => mv , AvgPool3DGrad : ( ) => aD , AvgPoolGrad : ( ) => sD , BackendWasm : ( ) => d$ , BatchMatMul : ( ) => gv , BatchToSpaceND : ( ) => yv , Bincount : ( ) => Av , BroadcastTo : ( ) => oD , Callback : ( ) => B8 , CallbackList : ( ) => CS , Cast : ( ) => l2 , Ceil : ( ) => xv , ClipByValue : ( ) => bv , Complex : ( ) => vv , ComplexAbs : ( ) => wv , Concat : ( ) => kv , Conv2D : ( ) => Iv , Conv2DBackpropFilter : ( ) => Sv , Conv2DBackpropInput : ( ) => Tv , Conv3D : ( ) => Nv , Conv3DBackpropFilterV2 : ( ) => iD , Conv3DBackpropInputV2 : ( ) => Cv , Cos : ( ) => Ev , Cosh : ( ) => $v , CropAndResize : ( ) => Rv , Cumsum : ( ) => _v , CustomCallback : ( ) => $S , DataStorage : ( ) => PR , DenseBincount : ( ) => Dv , DepthToSpace : ( ) => Fv , DepthwiseConv2dNative : ( ) => Mv , DepthwiseConv2dNativeBackpropFilter : ( ) => Ov , DepthwiseConv2dNativeBackprop
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` )),l.join( `
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` ;for(let m=2;m<l;m++)f+= `
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Actual : $ { s } .
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Expected : $ { a } . ` )}}function dM(e,t){e().then(()=>t.fail(),()=>t())}function hM(e,t){let n=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return Ia(e)||Ia(e[0])||Ia(t)||Ia(t[0])?G2(e,n,(r,s)=>r==s):G2(e,t,(r,s)=>j2(r,s,0))}function pM(e,t,n){if(n==null&&(n=H2()),!j2(e,t,n))throw new Error( ` Numbers differ : actual === $ { e } , expected === $ { t } ` )}function j2(e,t,n){return!isFinite(e)&&!isFinite(t)?!0:!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function fM(e,t,n){for(let r=0;r<e.length;r++)if(e[r]<t||e[r]>n)throw new Error( ` Value out of range : $ { e [ r ] } low : $ { t } , high : $ { n } ` )}function mM(e,t){expect(new Float32Array(e)).toEqual(new Float32Array(t))}function Mk(e){for(let t=0;t<e.length;t++){let n=e[t];Array.isArray(n)?Mk(n):e[t]=Qu(n)}return e}var gM="3.7.0";function yM(){ct().set("PROD",!0)}function AM(){ct().set("DEBUG",!0)}function xM(){ct().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function Ok(e){ct().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(e+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}WD(Ok);function bM(){U.disposeVariables()}function vM(){return U}function wM(){return U.memory()}function kM(e){return U.profile(e)}function Ue(e,t){return U.tidy(e,t)}function Ve(e){I2(e).forEach(n=>n.dispose())}function Pk(e){return U.keep(e)}function IM(e){return U.time(e)}function SM(e){return U.setBackend(e)}function TM(){return U.ready()}function NM(){return U.backendName}function CM(e){U.removeBackend(e)}function q2(e){return U.findBackend(e)}function EM(e){return U.findBackendFactory(e)}function K2(e,t,n=1){return U.registerBackend(e,t,n)}function $ M(){return U.backend}function _M(e,t){ct().setPlatform(e,t)}function RM(e,t){let n=O(e,"a","add"),r=O(t,"b","add");[n,r]=Vt(n,r);let s={a:n,b:r};return U.runKernel(i2,s)}var Me=H({add_:RM});function DM(e,t){let n=O(e,"a","floorDiv"),r=O(t,"b","floorDiv");[n,r]=Vt(n,r);let s={a:n,b:r};return U.runKernel(Jv,s)}var zk=H({floorDiv_:DM});function FM(e,t){let n=O(e,"a","div"),r=O(t,"b","div");if([n,r]=Vt(n,r),n.dtype==="int32"&&r.dtype==="int32")return zk(n,r);let s={a:n,b:r},a={};return U.runKernel(Bv,s,a)}var Qe=H({div_:FM});function MM(e,t){let n=O(e,"a","mul"),r=O(t,"b","mul");[n,r]=Vt(n,r);let s={a:n,b:r};return U.runKernel( $ w,s)}var fe=H({mul_:MM});function OM(e){let t=O(e,"x","abs");if(t.dtype==="complex64"){let n={x:t};return U.runKernel(wv,n)}else{let n={x:t};return U.runKernel(tv,n)}}var Nr=H({abs_:OM});function PM(e){let n={x:O(e,"x","acos")};return U.runKernel(nv,n)}var zM=H({acos_:PM});function LM(e){let n={x:O(e,"x","acosh")};return U.runKernel(rv,n)}var BM=H({acosh_:LM});function WM(e){L(Array.isArray(e),()=>"The argument passed to tf.addN() must be a list of tensors"),L(e.length>=1,()=> ` Must pass at least one tensor to tf . addN ( ) , but got $ { e . length } ` );let t=e.map((s,a)=>O(s, ` tensors$ { a } ` ,"addN")),n=t[0];t.forEach(s=>{if(s.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(s=>{if(!Xs(s.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let r=t;return U.runKernel(sv,r)}var X2=H({addN_:WM});function VM(e,t=null,n=!1){let s={x:O(e,"x","all","bool")},a={axis:t,keepDims:n};return U.runKernel(av,s,a)}var UM=H({all_:VM});function HM(e,t=null,n=!1){let s={x:O(e,"x","any","bool")},a={axis:t,keepDims:n};return U.runKernel(ov,s,a)}var GM=H({any_:HM});function jM(e,t=0){let r={x:O(e,"x","argMax")},s={axis:t};return U.runKernel(iv,r,s)}var Z2=H({argMax_:jM});function qM(e,t=0){let r={x:O(e,"x","argMin")},s={axis:t};return U.runKernel(lv,r,s)}var KM=H({argMin_:qM});function XM(e){let n={x:O(e,"x","asin")};return U.runKernel(uv,n)}var ZM=H({asin_:XM});function YM(e){let n={x:O(e,"x","asinh")};return U.runKernel(cv,n)}var JM=H({asinh_:YM});function QM(e){let n={x:O(e,"x","atan")};return U.runKernel(dv,n)}var eO=H({atan_:QM});function tO(e,t){let n=O(e,"a","atan2"),r=O(t,"b","atan2");[n,r]=Vt(n,r);let s={a:n,b:r};return U.runKernel(pv,s)}var nO=H({atan2_:tO});function rO(e){let
with dtype $ { a . dtype } . ` )}),n.length===1)return Js(n[0]);let r=n,s={axis:t};return U.runKernel(kv,r,s)}var an=H({concat_:mO});function gO(e){let n={x:O(e,"x","sigmoid")};return U.runKernel(i7,n)}var Ts=H({sigmoid_:gO});function yO(e,t,n){let r=O(e,"x","slice","string_or_numeric");if(r.rank===0)throw new Error("Slicing scalar is not possible");let s={x:r},a={begin:t,size:n};return U.runKernel(r7,s,a)}var Ze=H({slice_:yO});function AO(e){let n={x:O(e,"x","tanh")};return U.runKernel(T7,n)}var Q2=H({tanh_:AO});function xO(e,t,n,r,s,a){let o=O(e,"forgetBias","basicLSTMCell"),i=O(t,"lstmKernel","basicLSTMCell"),l=O(n,"lstmBias","basicLSTMCell"),u=O(r,"data","basicLSTMCell"),c=O(s,"c","basicLSTMCell"),d=O(a,"h","basicLSTMCell"),h=an([u,d],1),p=yt(h,i),f=Me(p,l),m=f.shape[0],g=f.shape[1]/4,y=[m,g],A=Ze(f,[0,0],y),x=Ze(f,[0,g],y),b=Ze(f,[0,g*2],y),v=Ze(f,[0,g*3],y),w=Me(fe(Ts(A),Q2(x)),fe(c,Ts(Me(o,b)))),S=fe(Q2(w),Ts(v));return[w,S]}var bO=H({basicLSTMCell_:xO});function vO(e,t,n){let r=O(e,"x","batchToSpaceND"),s=t.reduce((i,l)=>i*l);L(r.rank>=1+t.length,()=> ` input rank is $ { r . rank } but should be > than blockShape . length $ { t . length } ` ),L(n.length===t.length,()=> ` crops . length is $ { n . length } but should be equal to blockShape . length $ { t . length } ` ),L(r.shape[0]%s==0,()=> ` input tensor batch is $ { r . shape [ 0 ] } but is not divisible by the product of the elements of blockShape $ { t . join ( " * " ) } === $ { s } ` );let a={x:r},o={blockShape:t,crops:n};return U.runKernel(yv,a,o)}var Uk=H({batchToSpaceND_:vO});function wO(e){let t;return e.rank===0||e.rank===1?t=ue(e,[1,1,1,e.size]):e.rank===2?t=ue(e,[1,1,e.shape[0],e.shape[1]]):e.rank===3?t=ue(e,[1,e.shape[0],e.shape[1],e.shape[2]]):t=e,t}function kO(e,t,n,r,s,a){a==null&&(a=.001);let o=O(e,"x","batchNorm"),i=O(t,"mean","batchNorm"),l=O(n,"variance","batchNorm"),u;s!=null&&(u=O(s,"scale","batchNorm"));let c;r!=null&&(c=O(r,"offset","batchNorm")),L(i.rank===l.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),L(c==null||i.rank===c.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),L(u==null||i.rank===u.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let h={x:wO(o),scale:u,offset:c,mean:i,variance:l},p={varianceEpsilon:a},f=U.runKernel(Qv,h,p);return ue(f,o.shape)}var Ap=H({batchNorm_:kO});function IO(e,t,n,r,s,a){let o=O(e,"x","batchNorm"),i=O(t,"mean","batchNorm"),l=O(n,"variance","batchNorm"),u;s!=null&&(u=O(s,"scale","batchNorm"));let c;return r!=null&&(c=O(r,"offset","batchNorm")),L(o.rank===2,()=> ` Error in batchNorm2D : x must be rank 2 but got rank $ { o . rank } . ` ),L(i.rank===2||i.rank===1,()=> ` Error in batchNorm2D : mean must be rank 2 or rank 1 but got rank $ { i . rank } . ` ),L(l.rank===2||l.rank===1,()=> ` Error in batchNorm2D : variance must be rank 2 or rank 1 but got rank $ { l . rank } . ` ),u!=null&&L(u.rank===2||u.rank===1,()=> ` Error in batchNorm2D : scale must be rank 2 or rank 1 but got rank $ { u . rank } . ` ),c!=null&&L(c.rank===2||c.rank===1,()=> ` Error in batchNorm2D : offset must be rank 2 or rank 1 but got rank $ { c . rank } . ` ),Ap(o,i,l,c,u,a)}var SO=H({batchNorm2d_:IO});function TO(e,t,n,r,s,a){let o=O(e,"x","batchNorm"),i=O(t,"mean","batchNorm"),l=O(n,"variance","batchNorm"),u;s!=null&&(u=O(s,"scale","batchNorm"));let c;return r!=null&&(c=O(r,"offset","batchNorm")),L(o.rank===3,()=> ` Error in batchNorm3D : x must be rank 3 but got rank $ { o . rank } . ` ),L(i.rank===3||i.rank===1,()=> ` Error in batchNorm3D : mean must be rank 3 or rank 1 but got rank $ { i . rank } . ` ),L(l.rank===3||l.rank===1,()=> ` Error in batchNorm3D : variance must be rank 3 or rank 1 but got rank $ { l . rank } . ` ),u!=null&&L(u.rank===3||u.rank===1,()=> ` Error in batchNorm3D : scale must be rank 3 or rank 1 but got rank $ { u . rank } . ` ),c!=null&&L(c.rank===3||c.rank===1,()=> ` Error in batchNorm3D : offset must be rank 3 or rank 1 but got rank $ { c . rank } . ` ),Ap(o,i,l,c,u,a)}var NO=H({batchNorm3d_:TO});function CO(e,t,n,r,s,a){let o=O(e,"x","batchNorm"),i=O(t,"mean","batchNorm"),l=O(n,"variance","batchNorm"),u;s!=null&&(u=O(s,"scale","batchNorm"));let c;ret
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$ { s } and $ { t } for depthToSpace with input shape
$ { r . shape } ` ),L(a*t>=0,()=> ` Negative dimension size caused by overflow when multiplying
$ { a } and $ { t } for depthToSpace with input shape
2021-06-14 16:23:06 +02:00
$ { r . shape } ` ),L(o%(t*t)==0,()=> ` Dimension size must be evenly divisible by $ { t * t } but is $ { o } for depthToSpace with input shape $ { r . shape } ` );let i={x:r},l={blockSize:t,dataFormat:n};return U.runKernel(Fv,i,l)}var cP=H({depthToSpace_:uP});function dP(e,t,n,r,s="NHWC",a=[1,1],o){let i=O(e,"x","depthwiseConv2d"),l=O(t,"filter","depthwiseConv2d"),u=i,c=!1;i.rank===3&&(c=!0,u=ue(i,[1,i.shape[0],i.shape[1],i.shape[2]])),L(u.rank===4,()=> ` Error in depthwiseConv2d : input must be rank 4 , but got rank $ { u . rank } . ` ),L(l.rank===4,()=> ` Error in depthwiseConv2d : filter must be rank 4 , but got rank $ { l . rank } . ` ),L(u.shape[3]===l.shape[2],()=> ` Error in depthwiseConv2d : number of input channels ( $ { u . shape [ 3 ] } ) must match the inChannels dimension in filter $ { l . shape [ 2 ] } . ` ),o!=null&&L(Xn(r),()=> ` Error in depthwiseConv2d : pad must be an integer when using , dimRoundingMode $ { o } but got pad $ { r } . ` );let d={x:u,filter:l},h={strides:n,pad:r,dataFormat:s,dilations:a,dimRoundingMode:o},p=U.runKernel(Mv,d,h);return c?ue(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var ey=H({depthwiseConv2d_:dP});function hP(e){let n={x:O(e,"x","diag")};return U.runKernel(zv,n)}var pP=H({diag_:hP});function fP(e,t,n,r,s=[1,1],a="NHWC"){let o=O(e,"x","dilation2d"),i=O(t,"filter","dilation2d");L(o.rank===3||o.rank===4,()=> ` Error in dilation2d : input must be rank 3 or 4 , but got rank $ { o . rank } . ` ),L(i.rank===3,()=> ` Error in dilation2d : filter must be rank 3 , but got rank $ { i . rank } . ` ),L(a==="NHWC",()=> ` Error in dilation2d : Only NHWC is currently supported , but got dataFormat of $ { a } ` );let l=o,u=!1;o.rank===3&&(l=ue(o,[1,o.shape[0],o.shape[1],o.shape[2]]),u=!0);let c={x:l,filter:i},d={strides:n,pad:r,dilations:s},h=U.runKernel(Lv,c,d);return u?ue(h,[h.shape[1],h.shape[2],h.shape[3]]):h}var mP=H({dilation2d_:fP});function gP(e,t){let n=e.length,r=[];for(let s=0;s<n;s++){let a=n-1-s,o=e[a]||1;(t[t.length-1-s]||1)>1&&o===1&&r.unshift(a)}return r}function jk(e,t){let n=[];for(let r=0;r<t.length;r++){let s=e[e.length-r-1],a=t.length-r-1,o=t[a];(s==null||s===1&&o>1)&&n.unshift(a)}return n}function In(e,t){let n=[],r=Math.max(e.length,t.length);for(let s=0;s<r;s++){let a=e[e.length-s-1];a==null&&(a=1);let o=t[t.length-s-1];if(o==null&&(o=1),a===1)n.unshift(o);else if(o===1)n.unshift(a);else if(a!==o){let i= ` Operands could not be broadcast together with shapes $ { e } and $ { t } . ` ;throw Error(i)}else n.unshift(a)}return n}function yP(e,t){let n=O(e,"a","equal","string_or_numeric"),r=O(t,"b","equal","string_or_numeric");[n,r]=Vt(n,r),In(n.shape,r.shape);let s={a:n,b:r};return U.runKernel(Hv,s)}var qk=H({equal_:yP});function AP(e,t,n){let r=O(t,"a","where"),s=O(n,"b","where"),a=O(e,"condition","where","bool"),o=In(In(a.shape,r.shape),s.shape),i=xp(a,o),l=xp(r,o),u=xp(s,o),c={condition:i,t:l,e:u};return U.runKernel(t7,c)}var Gi=H({where_:AP});function xP(e){let n={x:O(e,"x","zerosLike")};return U.runKernel(D7,n)}var Cr=H({zerosLike_:xP});function bP(e,t){let n=O(e,"a","div"),r=O(t,"b","div");[n,r]=Vt(n,r);let s=Qe(n,r),a=Cr(s),o=qk(r,a);return Gi(o,a,s)}var vP=H({divNoNan_:bP});function wP(e,t){let n=O(e,"t1","dot"),r=O(t,"t2","dot");L((n.rank===1||n.rank===2)&&(r.rank===1||r.rank===2),()=> ` Error in dot : inputs must all be rank 1 or 2 , but got ranks $ { n . rank } and $ { r . rank } . ` );let s=n.rank===1?n.size:n.shape[1],a=r.rank===1?r.size:r.shape[0];if(L(s===a,()=> ` Error in dot : inner dimensions of inputs must match , but got $ { s } and $ { a } . ` ),n.rank===1&&r.rank===1){let o=ue(n,[1,-1]),i=ue(r,[-1,1]),l=yt(o,i);return ue(l,[])}else if(n.rank===1&&r.rank===2){let o=ue(n,[1,-1]),i=ue(r,[r.shape[0],r.shape[1]]),l=yt(o,i);return ue(l,[l.size])}else if(n.rank===2&&r.rank===1){let o=ue(r,[-1,1]),i=yt(n,o);return ue(i,[i.size])}else{let o=ue(r,[r.shape[0],r.shape[1]]);return yt(n,o)}}var kP=H({dot_:wP});function IP(e,...t){let n=t.map((s,a)=>O(s, ` tensors$ { a } ` ,"einsum")),r={equation:e};return U.runKernel(Wv,n,r)}var SP=H({einsum_:IP});function TP(e){let n={x:O(e,"x","elu")};return U.runKernel(Vv,n)}var Kk=H({elu_:TP});function NP(e){let t=O(e,"x","erf");L(t.dtype==="int32"||t.dtype==="float32",()=>"Input d
rank $ { a . rank } . ` ),L(Xn(t),()=> ` Error in localResponseNormalization : depthRadius must be an integer but got depthRadius $ { t } . ` );let o=a,i=!1;a.rank===3&&(i=!0,o=ue(a,[1,a.shape[0],a.shape[1],a.shape[2]]));let l={x:o},u={depthRadius:t,bias:n,alpha:r,beta:s},c=U.runKernel(Aw,l,u);return i?ue(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var JP=H({localResponseNormalization_:YP});function QP(e){let n={x:O(e,"x","log")};return U.runKernel(pw,n)}var uc=H({log_:QP});function ez(e){let n={x:O(e,"x","log1p")};return U.runKernel(fw,n)}var e4=H({log1p_:ez});function tz(e){return L(Sa(e),()=>"The f passed in grad(f) must be a function"),(t,n)=>{let r=O(t,"x","tf.grad","string_or_numeric"),s=n!=null?O(n,"dy","tf.grad"):null;return U.tidy(()=>{let{value:a,grads:o}=U.gradients(()=>e(r),[r],s);return s!=null&&Mn(a.shape,s.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),Ip(o),o[0]})}}function nz(e){return L(Sa(e),()=>"The f passed in grads(f) must be a function"),(t,n)=>{L(Array.isArray(t),()=>"The args passed in grads(f)(args) must be an array of ` Tensor ` s or ` TensorLike ` s");let r=sc(t,"args","tf.grads","string_or_numeric"),s=n!=null?O(n,"dy","tf.grads"):null;return U.tidy(()=>{let{value:a,grads:o}=U.gradients(()=>e(...r),r,s);return s!=null&&Mn(a.shape,s.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Ip(o),o})}}function rz(e){return L(Sa(e),()=>"The f passed in valueAndGrad(f) must be a function"),(t,n)=>{L(t instanceof Tt,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),L(n==null||n instanceof Tt,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:r,value:s}=U.gradients(()=>e(t),[t],n);return Ip(r),{grad:r[0],value:s}}}function sz(e){return L(Sa(e),()=>"The f passed in valueAndGrads(f) must be a function"),(t,n)=>{L(Array.isArray(t)&&t.every(s=>s instanceof Tt),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),L(n==null||n instanceof Tt,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let r=U.gradients(()=>e(...t),t,n);return n!=null&&Mn(r.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Ip(r.grads),r}}function t4(e,t){L(Sa(e),()=>"The f passed in variableGrads(f) must be a function"),L(t==null||Array.isArray(t)&&t.every(u=>u instanceof rc),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let n=t!=null;if(!n){t=[];for(let u in U.registeredVariables)t.push(U.registeredVariables[u])}let r=n?t.filter(u=>!u.trainable):null,s=t.length;t=t.filter(u=>u.trainable),L(t.length>0,()=> ` variableGrads ( ) expects at least one of the input variables to be trainable , but none of the $ { s } variables is trainable . ` );let a=!0,{value:o,grads:i}=U.gradients(e,t,null,a);L(i.some(u=>u!=null),()=>"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."),L(o.rank===0,()=> ` The f passed in variableGrads ( f ) must return a scalar , but it returned a rank - $ { o . rank } tensor ` );let l={};return t.forEach((u,c)=>{i[c]!=null&&(l[u.name]=i[c])}),r!=null&&r.forEach(u=>l[u.name]=null),{value:o,grads:l}}function Ns(e){return U.customGrad(e)}function Ip(e){if(e.filter(n=>n==null).length>0)throw new Error( ` Cannot compute gradient of y = f ( x ) with respect to x . Make sure that
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$ { s . shape } ` );if(a.rank!==1)throw new Error( ` Values should be Tensor1D but received shape $ { a . shape } ` );if(o.rank!==1)throw new Error( ` Dense shape should be Tensor1D but received shape $ { o . shape } ` );if(i.rank!==0)throw new Error( ` Default value should be a scalar but received shape $ { i . shape } ` );let l={indices:s,values:a,denseShape:o,defaultValue:i},u=U.runKernel(f7,l);return{outputIndices:u[0],outputValues:u[1],emptyRowIndicator:u[2],reverseIndexMap:u[3]}}var kV=H({sparseFillEmptyRows_:wV});function IV(e,t,n){let r=O(e,"inputIndices","sparseReshape"),s=O(t,"inputShape","sparseReshape"),a=O(n,"newShape","sparseReshape");if(r.rank!==2)throw new Error( ` Input indices should be Tensor2D but received shape
$ { r . shape } ` );if(s.rank!==1)throw new Error( ` Input shape should be Tensor1D but received shape $ { s . shape } ` );if(a.rank!==1)throw new Error( ` New shape should be Tensor1D but received shape $ { a . shape } ` );let o={inputIndices:r,inputShape:s,newShape:a},i=U.runKernel(m7,o);return{outputIndices:i[0],outputShape:i[1]}}var SV=H({sparseReshape_:IV});function TV(e,t,n){let r=O(e,"data","sparseSegmentMean"),s=O(t,"indices","sparseSegmentMean"),a=O(n,"segmentIds","sparseSegmentMean");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(s.rank!==1)throw new Error( ` Indices should be Tensor1D but received shape
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$ { s . shape } ` );if(a.rank!==1)throw new Error( ` Segment ids should be Tensor1D but received shape
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$ { a . shape } ` );let o={data:r,indices:s,segmentIds:a};return U.runKernel(g7,o)}var NV=H({sparseSegmentMean_:TV});function CV(e,t,n){let r=O(e,"data","sparseSegmentSum"),s=O(t,"indices","sparseSegmentSum"),a=O(n,"segmentIds","sparseSegmentSum");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(s.rank!==1)throw new Error( ` Indices should be Tensor1D but received shape
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$ { s . shape } ` );if(a.rank!==1)throw new Error( ` Segment ids should be Tensor1D but received shape
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$ { a . shape } ` );let o={data:r,indices:s,segmentIds:a};return U.runKernel(y7,o)}var EV=H({sparseSegmentSum_:CV});function $ V(e,t,n,r,s,a,o,i){let l=O(e,"data","stringNGrams","string");if(l.dtype!=="string")throw new Error("Data must be of datatype string");if(l.shape.length!==1)throw new Error( ` Data must be a vector , saw : $ { l . shape } ` );let u=O(t,"dataSplits","stringNGrams");if(u.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let c={separator:n,nGramWidths:r,leftPad:s,rightPad:a,padWidth:o,preserveShortSequences:i},d={data:l,dataSplits:u},h=U.runKernel(v7,d,c);return{nGrams:h[0],nGramsSplits:h[1]}}var _V=H({stringNGrams_: $ V});function RV(e,t,n=!0){let r=O(e,"input","stringSplit","string"),s=O(t,"delimiter","stringSplit","string");if(r.rank!==1)throw new Error( ` Input should be Tensor1D but received shape $ { r . shape } ` );if(s.rank!==0)throw new Error( ` Delimiter should be a scalar but received shape $ { s . shape } ` );let a={skipEmpty:n},o={input:r,delimiter:s},i=U.runKernel(w7,o,a);return{indices:i[0],values:i[1],shape:i[2]}}var DV=H({stringSplit_:RV});function FV(e,t){let n=O(e,"input","stringToHashBucketFast","string"),r={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let s={input:n};return U.runKernel(k7,s,r)}var MV=H({stringToHashBucketFast_:FV}),OV={fft:iy,ifft:Ep,rfft:ly,irfft:g4},PV={hammingWindow:pW,hannWindow:I4,frame:S4,stft:yW},Ye={flipLeftRight:vW,resizeNearestNeighbor:GW,resizeBilinear:UW,rotateWithOffset:kW,cropAndResize:xW,nonMaxSuppression:SW,nonMaxSuppressionAsync:DW,nonMaxSuppressionWithScore:MW,nonMaxSuppressionWithScoreAsync:PW,nonMaxSuppressionPadded:LW,nonMaxSuppressionPaddedAsync:WW,threshold:KW,transform:ZW},zV={bandPart:JW,gramSchmidt:eV,qr:nV},LV={absoluteDifference:aV,computeWeightedLoss:sa,cosineDistance:iV,hingeLoss:uV,huberLoss:dV,logLoss:pV,meanSquaredError:mV,sigmoidCrossEntropy:AV,softmaxCrossEntropy:vV},BV={sparseFillEmptyRows:kV,sparseReshape:SV,sparseSegmentMean:NV,sparseSegmentSum:EV},WV={stringNGrams:_V,stringSplit:DV,stringToHashBucketFast:MV},Ra=class extends Rk{minimize(e,t=!1,n){let{value:r,grads:s}=this.computeGradients(e,n);if(n!=null){let a=n.map(o=>({name:o.name,tensor:s[o.name]}));this.applyGradients(a)}else this.applyGradients(s);return Ve(s),t?r:(r.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return t4(e,t)}dispose(){this.iterations_!=null&&Ve(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:ut(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error( ` setWeights ( ) is not implemented for this optimizer class $ { this . getClassName ( ) } ` )}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(Ra,Symbol.hasInstance,{value:e=>e.minimize!=null&&e.computeGradients!=null&&e.applyGradients!=null});var Fp=class extends Ra{constructor(e,t,n=null){super();this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=U.backend.epsilon())}applyGradients(e){(Array.isArray(e)?e.map(n=>n.name):Object.keys(e)).forEach((n,r)=>{let s=U.registeredVariables[n],a=!1;this.accumulatedGrads[r]==null&&(this.accumulatedGrads[r]={originalName: ` $ { n } / accum _grad ` ,variable:Ue(()=>Cr(s).variable(a))}),this.accumulatedUpdates[r]==null&&(this.accumulatedUpdates[r]={originalName: ` $ { n } / accum _var ` ,variable:Ue(()=>Cr(s).variable(a))});let o=Array.isArray(e)?e[r].tensor:e[n];if(o==null)return;let i=this.accumulatedGrads[r].variable,l=this.accumulatedUpdates[r].variable;Ue(()=>{let u=Me(fe(i,this.rho),fe(ns(o),1-this.rho)),c=fe(Qe(na(Me(l,this.epsilon)),na(Me(i,this.epsilon))),o),d=Me(fe(l,this.rho),fe(ns(c),1-this.rho));i.assign(u),l.assign(d);let h=Me(fe(c,-this.learningRate),s);s.assign(h)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!
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with dtype $ { a . dtype } . ` )}),n.length===1)return qo(n[0]);let r=n,s={axis:t};return G.runKernel(Ec,r,s)}var en=V({concat_:yj});function Aj(e){let n={x:M(e,"x","sigmoid")};return G.runKernel(Rl,n)}var Rs=V({sigmoid_:Aj});function xj(e,t,n){let r=M(e,"x","slice","string_or_numeric");if(r.rank===0)throw new Error("Slicing scalar is not possible");let s={x:r},a={begin:t,size:n};return G.runKernel(rd,s,a)}var nt=V({slice_:xj});function bj(e){let n={x:M(e,"x","tanh")};return G.runKernel(Pl,n)}var Kl=V({tanh_:bj});function vj(e,t,n,r,s,a){let o=M(e,"forgetBias","basicLSTMCell"),i=M(t,"lstmKernel","basicLSTMCell"),l=M(n,"lstmBias","basicLSTMCell"),u=M(r,"data","basicLSTMCell"),c=M(s,"c","basicLSTMCell"),d=M(a,"h","basicLSTMCell"),h=en([u,d],1),p=ot(h,i),f=pe(p,l),m=f.shape[0],g=f.shape[1]/4,y=[m,g],A=nt(f,[0,0],y),x=nt(f,[0,g],y),b=nt(f,[0,g*2],y),v=nt(f,[0,g*3],y),w=pe(K(Rs(A),Kl(x)),K(c,Rs(pe(o,b)))),S=K(Kl(w),Rs(v));return[w,S]}var Awe=V({basicLSTMCell_:vj});function wj(e,t,n){let r=M(e,"x","batchToSpaceND"),s=t.reduce((i,l)=>i*l);z(r.rank>=1+t.length,()=> ` input rank is $ { r . rank } but should be > than blockShape . length $ { t . length } ` ),z(n.length===t.length,()=> ` crops . length is $ { n . length } but should be equal to blockShape . length $ { t . length } ` ),z(r.shape[0]%s==0,()=> ` input tensor batch is $ { r . shape [ 0 ] } but is not divisible by the product of the elements of blockShape $ { t . join ( " * " ) } === $ { s } ` );let a={x:r},o={blockShape:t,crops:n};return G.runKernel(Xp,a,o)}var Tf=V({batchToSpaceND_:wj});function kj(e){let t;return e.rank===0||e.rank===1?t=J(e,[1,1,1,e.size]):e.rank===2?t=J(e,[1,1,e.shape[0],e.shape[1]]):e.rank===3?t=J(e,[1,e.shape[0],e.shape[1],e.shape[2]]):t=e,t}function Ij(e,t,n,r,s,a){a==null&&(a=.001);let o=M(e,"x","batchNorm"),i=M(t,"mean","batchNorm"),l=M(n,"variance","batchNorm"),u;s!=null&&(u=M(s,"scale","batchNorm"));let c;r!=null&&(c=M(r,"offset","batchNorm")),z(i.rank===l.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),z(c==null||i.rank===c.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),z(u==null||i.rank===u.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let h={x:kj(o),scale:u,offset:c,mean:i,variance:l},p={varianceEpsilon:a},f=G.runKernel(cl,h,p);return J(f,o.shape)}var Xl=V({batchNorm_:Ij});function Sj(e,t,n,r,s,a){let o=M(e,"x","batchNorm"),i=M(t,"mean","batchNorm"),l=M(n,"variance","batchNorm"),u;s!=null&&(u=M(s,"scale","batchNorm"));let c;return r!=null&&(c=M(r,"offset","batchNorm")),z(o.rank===2,()=> ` Error in batchNorm2D : x must be rank 2 but got rank $ { o . rank } . ` ),z(i.rank===2||i.rank===1,()=> ` Error in batchNorm2D : mean must be rank 2 or rank 1 but got rank $ { i . rank } . ` ),z(l.rank===2||l.rank===1,()=> ` Error in batchNorm2D : variance must be rank 2 or rank 1 but got rank $ { l . rank } . ` ),u!=null&&z(u.rank===2||u.rank===1,()=> ` Error in batchNorm2D : scale must be rank 2 or rank 1 but got rank $ { u . rank } . ` ),c!=null&&z(c.rank===2||c.rank===1,()=> ` Error in batchNorm2D : offset must be rank 2 or rank 1 but got rank $ { c . rank } . ` ),Xl(o,i,l,c,u,a)}var Tj=V({batchNorm2d_:Sj});function Nj(e,t,n,r,s,a){let o=M(e,"x","batchNorm"),i=M(t,"mean","batchNorm"),l=M(n,"variance","batchNorm"),u;s!=null&&(u=M(s,"scale","batchNorm"));let c;return r!=null&&(c=M(r,"offset","batchNorm")),z(o.rank===3,()=> ` Error in batchNorm3D : x must be rank 3 but got rank $ { o . rank } . ` ),z(i.rank===3||i.rank===1,()=> ` Error in batchNorm3D : mean must be rank 3 or rank 1 but got rank $ { i . rank } . ` ),z(l.rank===3||l.rank===1,()=> ` Error in batchNorm3D : variance must be rank 3 or rank 1 but got rank $ { l . rank } . ` ),u!=null&&z(u.rank===3||u.rank===1,()=> ` Error in batchNorm3D : scale must be rank 3 or rank 1 but got rank $ { u . rank } . ` ),c!=null&&z(c.rank===3||c.rank===1,()=> ` Error in batchNorm3D : offset must be rank 3 or rank 1 but got rank $ { c . rank } . ` ),Xl(o,i,l,c,u,a)}var Cj=V({batchNorm3d_:Nj});function Ej(e,t,n,r,s,a){let o=M(e,"x","batchNorm"),i=M(t,"mean","batchNorm"),l=M(n,"variance","batchNorm"),u;s!=null&&(u=M(s,"scale","batchNorm"));let c;return r!
2021-06-07 02:47:59 +02:00
$ { s } and $ { t } for depthToSpace with input shape
$ { r . shape } ` ),z(a*t>=0,()=> ` Negative dimension size caused by overflow when multiplying
$ { a } and $ { t } for depthToSpace with input shape
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$ { r . shape } ` ),z(o%(t*t)==0,()=> ` Dimension size must be evenly divisible by $ { t * t } but is $ { o } for depthToSpace with input shape $ { r . shape } ` );let i={x:r},l={blockSize:t,dataFormat:n};return G.runKernel(Rc,i,l)}var oI=V({depthToSpace_:nq});function rq(e,t,n,r,s="NHWC",a=[1,1],o){let i=M(e,"x","depthwiseConv2d"),l=M(t,"filter","depthwiseConv2d"),u=i,c=!1;i.rank===3&&(c=!0,u=J(i,[1,i.shape[0],i.shape[1],i.shape[2]])),z(u.rank===4,()=> ` Error in depthwiseConv2d : input must be rank 4 , but got rank $ { u . rank } . ` ),z(l.rank===4,()=> ` Error in depthwiseConv2d : filter must be rank 4 , but got rank $ { l . rank } . ` ),z(u.shape[3]===l.shape[2],()=> ` Error in depthwiseConv2d : number of input channels ( $ { u . shape [ 3 ] } ) must match the inChannels dimension in filter $ { l . shape [ 2 ] } . ` ),o!=null&&z(mn(r),()=> ` Error in depthwiseConv2d : pad must be an integer when using , dimRoundingMode $ { o } but got pad $ { r } . ` );let d={x:u,filter:l},h={strides:n,pad:r,dataFormat:s,dilations:a,dimRoundingMode:o},p=G.runKernel(al,d,h);return c?J(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var Td=V({depthwiseConv2d_:rq});function sq(e){let n={x:M(e,"x","diag")};return G.runKernel(_y,n)}var xwe=V({diag_:sq});function aq(e,t,n,r,s=[1,1],a="NHWC"){let o=M(e,"x","dilation2d"),i=M(t,"filter","dilation2d");z(o.rank===3||o.rank===4,()=> ` Error in dilation2d : input must be rank 3 or 4 , but got rank $ { o . rank } . ` ),z(i.rank===3,()=> ` Error in dilation2d : filter must be rank 3 , but got rank $ { i . rank } . ` ),z(a==="NHWC",()=> ` Error in dilation2d : Only NHWC is currently supported , but got dataFormat of $ { a } ` );let l=o,u=!1;o.rank===3&&(l=J(o,[1,o.shape[0],o.shape[1],o.shape[2]]),u=!0);let c={x:l,filter:i},d={strides:n,pad:r,dilations:s},h=G.runKernel(Jp,c,d);return u?J(h,[h.shape[1],h.shape[2],h.shape[3]]):h}var iI=V({dilation2d_:aq});function oq(e,t){let n=e.length,r=[];for(let s=0;s<n;s++){let a=n-1-s,o=e[a]||1;(t[t.length-1-s]||1)>1&&o===1&&r.unshift(a)}return r}function ln(e,t){let n=[];for(let r=0;r<t.length;r++){let s=e[e.length-r-1],a=t.length-r-1,o=t[a];(s==null||s===1&&o>1)&&n.unshift(a)}return n}function Rt(e,t){let n=[],r=Math.max(e.length,t.length);for(let s=0;s<r;s++){let a=e[e.length-s-1];a==null&&(a=1);let o=t[t.length-s-1];if(o==null&&(o=1),a===1)n.unshift(o);else if(o===1)n.unshift(a);else if(a!==o){let i= ` Operands could not be broadcast together with shapes $ { e } and $ { t } . ` ;throw Error(i)}else n.unshift(a)}return n}function iq(e,t){let n=M(e,"a","equal","string_or_numeric"),r=M(t,"b","equal","string_or_numeric");[n,r]=Ut(n,r),Rt(n.shape,r.shape);let s={a:n,b:r};return G.runKernel(il,s)}var Zo=V({equal_:iq});function lq(e,t,n){let r=M(t,"a","where"),s=M(n,"b","where"),a=M(e,"condition","where","bool"),o=Rt(Rt(a.shape,r.shape),s.shape),i=Sd(a,o),l=Sd(r,o),u=Sd(s,o),c={condition:i,t:l,e:u};return G.runKernel(td,c)}var Ln=V({where_:lq});function uq(e){let n={x:M(e,"x","zerosLike")};return G.runKernel(hd,n)}var rt=V({zerosLike_:uq});function cq(e,t){let n=M(e,"a","div"),r=M(t,"b","div");[n,r]=Ut(n,r);let s=Re(n,r),a=rt(s),o=Zo(r,a);return Ln(o,a,s)}var lI=V({divNoNan_:cq});function dq(e,t){let n=M(e,"t1","dot"),r=M(t,"t2","dot");z((n.rank===1||n.rank===2)&&(r.rank===1||r.rank===2),()=> ` Error in dot : inputs must all be rank 1 or 2 , but got ranks $ { n . rank } and $ { r . rank } . ` );let s=n.rank===1?n.size:n.shape[1],a=r.rank===1?r.size:r.shape[0];if(z(s===a,()=> ` Error in dot : inner dimensions of inputs must match , but got $ { s } and $ { a } . ` ),n.rank===1&&r.rank===1){let o=J(n,[1,-1]),i=J(r,[-1,1]),l=ot(o,i);return J(l,[])}else if(n.rank===1&&r.rank===2){let o=J(n,[1,-1]),i=J(r,[r.shape[0],r.shape[1]]),l=ot(o,i);return J(l,[l.size])}else if(n.rank===2&&r.rank===1){let o=J(r,[-1,1]),i=ot(n,o);return J(i,[i.size])}else{let o=J(r,[r.shape[0],r.shape[1]]);return ot(n,o)}}var hq=V({dot_:dq});function pq(e,...t){let n=t.map((s,a)=>M(s, ` tensors$ { a } ` ,"einsum")),r={equation:e};return G.runKernel(Fy,n,r)}var fq=V({einsum_:pq});function mq(e){let n={x:M(e,"x","elu")};return G.runKernel(Dc,n)}var Nd=V({elu_:mq});function gq(e){let t=M(e,"x","erf");z(t.dtype==="int32"||t.dtype==="float32",()=>"Input dtype must be
rank $ { a . rank } . ` ),z(mn(t),()=> ` Error in localResponseNormalization : depthRadius must be an integer but got depthRadius $ { t } . ` );let o=a,i=!1;a.rank===3&&(i=!0,o=J(a,[1,a.shape[0],a.shape[1],a.shape[2]]));let l={x:o},u={depthRadius:t,bias:n,alpha:r,beta:s},c=G.runKernel(nf,l,u);return i?J(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var pI=V({localResponseNormalization_:Oq});function Pq(e){let n={x:M(e,"x","log")};return G.runKernel(Ro,n)}var Rr=V({log_:Pq});function zq(e){let n={x:M(e,"x","log1p")};return G.runKernel(Vc,n)}var VA=V({log1p_:zq});function Lq(e,t){z(Hp(e),()=>"The f passed in variableGrads(f) must be a function"),z(t==null||Array.isArray(t)&&t.every(u=>u instanceof gf),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let n=t!=null;if(!n){t=[];for(let u in G.registeredVariables)t.push(G.registeredVariables[u])}let r=n?t.filter(u=>!u.trainable):null,s=t.length;t=t.filter(u=>u.trainable),z(t.length>0,()=> ` variableGrads ( ) expects at least one of the input variables to be trainable , but none of the $ { s } variables is trainable . ` );let a=!0,{value:o,grads:i}=G.gradients(e,t,null,a);z(i.some(u=>u!=null),()=>"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."),z(o.rank===0,()=> ` The f passed in variableGrads ( f ) must return a scalar , but it returned a rank - $ { o . rank } tensor ` );let l={};return t.forEach((u,c)=>{i[c]!=null&&(l[u.name]=i[c])}),r!=null&&r.forEach(u=>l[u.name]=null),{value:o,grads:l}}function oa(e){return G.customGrad(e)}function Bq(e){let n={x:M(e,"x","neg")};return G.runKernel(Gc,n)}var Kt=V({neg_:Bq});function Wq(e){let n={x:M(e,"x","softplus")};return G.runKernel(od,n)}var Zl=V({softplus_:Wq});function Vq(e){let t=M(e,"x","logSigmoid");return oa(r=>({value:Kt(Zl(Kt(r))),gradFunc:o=>K(o,Rs(Kt(r)))}))(t)}var Uq=V({logSigmoid_:Vq});function Hq(e,t=null,n=!1){let s={x:M(e,"x","max")},a={reductionIndices:t,keepDims:n};return G.runKernel(gl,s,a)}var os=V({max_:Hq});function Gq(e,t){let n=M(e,"a","sub"),r=M(t,"b","sub");[n,r]=Ut(n,r);let s={a:n,b:r};return G.runKernel(zo,s)}var Ne=V({sub_:Gq});function jq(e,t=null,n=!1){let r=M(e,"x","sum");r.dtype==="bool"&&(r=ke(r,"int32"));let s={x:r},a={axis:t,keepDims:n};return G.runKernel(Fl,s,a)}var _e=V({sum_:jq});function qq(e,t=-1){let n=M(e,"logits","logSoftmax");if(t===-1&&(t=n.rank-1),t!==n.rank-1)throw Error( ` Log Softmax along a non - last dimension is not yet supported . Logits was rank $ { n . rank } and axis was $ { t } ` );return oa((s,a)=>{let o=!0,i=os(s,t,!0),l=Ne(s,i),u=Ne(ke(l,"float32"),Rr(_e(Kr(l),t,o)));return a([u]),{value:u,gradFunc:(d,h)=>{let[p]=h,f=!0,m=Kr(p);return Ne(d,K(_e(d,t,f),m))}}})(n)}var UA=V({logSoftmax_:qq});function HA(e,t){for(let n=0;n<e.length;++n)if(e[e.length-n-1]!==t-1-n)return!1;return!0}function fI(e,t,n){let r=e.length+t.length,s=[],a=0,o=0;for(let i=0;i<r;i++)n.indexOf(i)===-1?s.push(e[a++]):s.push(t[o++]);return s}function mI(e,t){let n=[],r=e.length;for(let a=0;a<r;a++)t.indexOf(a)===-1&&n.push(e[a]);let s=t.map(a=>e[a]);return[n,s]}function ei(e,t){let n=t.map(r=>1);return fI(e,n,t)}function Kq(e,t,n){z(HA(t,n),()=> ` $ { e } supports only inner - most axes for now . Got axes $ { t } and rank - $ { n } input . ` )}function gI(e,t){if(HA(e,t))return null;let n=[];for(let r=0;r<t;++r)e.indexOf(r)===-1&&n.push(r);return e.forEach(r=>n.push(r)),n}function GA(e){return e.map((t,n)=>[n,t]).sort((t,n)=>t[1]-n[1]).map(t=>t[0])}function Xq(e,t){let n=[];for(let r=t-e;r<t;++r)n.push(r);return n}function Zq(e,t=null,n=!1){let r=M(e,"x","logSumExp"),s=jr(t,r.shape),a=os(r,s,!0),o=Ne(r,a),i=Kr(o),l=_e(i,s),u=Rr(l),c=pe(J(a,u.shape),u);if(n){let d=ei(c.shape,s);return J(c,d)}return c}var yI=V({logSumExp_:Zq});function Yq(e,t){let n=M(e,"a","logicalAnd","bool"),r=M(t,"b","logicalAnd","bool");Rt(n.shape,r.shape);let s={a:n,b:r};return G.runKernel(Uc,s)}var is=V({logicalAnd_:Yq});function Jq(e){let n={x:M(e,"x","logicalNot","bool")};return G.runKernel(ef,n)}var Ef=V({logicalNot_:Jq});funct
$ { s . shape } ` );if(a.rank!==1)throw new Error( ` Values should be Tensor1D but received shape $ { a . shape } ` );if(o.rank!==1)throw new Error( ` Dense shape should be Tensor1D but received shape $ { o . shape } ` );if(i.rank!==0)throw new Error( ` Default value should be a scalar but received shape $ { i . shape } ` );let l={indices:s,values:a,denseShape:o,defaultValue:i},u=G.runKernel(Ky,l);return{outputIndices:u[0],outputValues:u[1],emptyRowIndicator:u[2],reverseIndexMap:u[3]}}var YZ=V({sparseFillEmptyRows_:ZZ});function JZ(e,t,n){let r=M(e,"inputIndices","sparseReshape"),s=M(t,"inputShape","sparseReshape"),a=M(n,"newShape","sparseReshape");if(r.rank!==2)throw new Error( ` Input indices should be Tensor2D but received shape
$ { r . shape } ` );if(s.rank!==1)throw new Error( ` Input shape should be Tensor1D but received shape $ { s . shape } ` );if(a.rank!==1)throw new Error( ` New shape should be Tensor1D but received shape $ { a . shape } ` );let o={inputIndices:r,inputShape:s,newShape:a},i=G.runKernel(Xy,o);return{outputIndices:i[0],outputShape:i[1]}}var QZ=V({sparseReshape_:JZ});function eY(e,t,n){let r=M(e,"data","sparseSegmentMean"),s=M(t,"indices","sparseSegmentMean"),a=M(n,"segmentIds","sparseSegmentMean");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(s.rank!==1)throw new Error( ` Indices should be Tensor1D but received shape
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$ { s . shape } ` );if(a.rank!==1)throw new Error( ` Segment ids should be Tensor1D but received shape
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$ { a . shape } ` );let o={data:r,indices:s,segmentIds:a};return G.runKernel(Zy,o)}var tY=V({sparseSegmentMean_:eY});function nY(e,t,n){let r=M(e,"data","sparseSegmentSum"),s=M(t,"indices","sparseSegmentSum"),a=M(n,"segmentIds","sparseSegmentSum");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(s.rank!==1)throw new Error( ` Indices should be Tensor1D but received shape
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$ { s . shape } ` );if(a.rank!==1)throw new Error( ` Segment ids should be Tensor1D but received shape
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$ { a . shape } ` );let o={data:r,indices:s,segmentIds:a};return G.runKernel(Yy,o)}var rY=V({sparseSegmentSum_:nY});function sY(e,t,n,r,s,a,o,i){let l=M(e,"data","stringNGrams","string");if(l.dtype!=="string")throw new Error("Data must be of datatype string");if(l.shape.length!==1)throw new Error( ` Data must be a vector , saw : $ { l . shape } ` );let u=M(t,"dataSplits","stringNGrams");if(u.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let c={separator:n,nGramWidths:r,leftPad:s,rightPad:a,padWidth:o,preserveShortSequences:i},d={data:l,dataSplits:u},h=G.runKernel(Qy,d,c);return{nGrams:h[0],nGramsSplits:h[1]}}var aY=V({stringNGrams_:sY});function oY(e,t,n=!0){let r=M(e,"input","stringSplit","string"),s=M(t,"delimiter","stringSplit","string");if(r.rank!==1)throw new Error( ` Input should be Tensor1D but received shape $ { r . shape } ` );if(s.rank!==0)throw new Error( ` Delimiter should be a scalar but received shape $ { s . shape } ` );let a={skipEmpty:n},o={input:r,delimiter:s},i=G.runKernel(eA,o,a);return{indices:i[0],values:i[1],shape:i[2]}}var iY=V({stringSplit_:oY});function lY(e,t){let n=M(e,"input","stringToHashBucketFast","string"),r={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let s={input:n};return G.runKernel(tA,s,r)}var uY=V({stringToHashBucketFast_:lY}),ni={flipLeftRight:aZ,resizeNearestNeighbor:WI,resizeBilinear:BI,rotateWithOffset:iZ,cropAndResize:rZ,nonMaxSuppression:uZ,nonMaxSuppressionAsync:yZ,nonMaxSuppressionWithScore:xZ,nonMaxSuppressionWithScoreAsync:vZ,nonMaxSuppressionPadded:kZ,nonMaxSuppressionPaddedAsync:SZ,threshold: $ Z,transform:RZ},cY={bandPart:FZ,gramSchmidt:OZ,qr:zZ},Vf={sparseFillEmptyRows:YZ,sparseReshape:QZ,sparseSegmentMean:tY,sparseSegmentSum:rY},p1={stringNGrams:aY,stringSplit:iY,stringToHashBucketFast:uY},Ha=class extends V6{minimize(e,t=!1,n){let{value:r,grads:s}=this.computeGradients(e,n);if(n!=null){let a=n.map(o=>({name:o.name,tensor:s[o.name]}));this.applyGradients(a)}else this.applyGradients(s);return je(s),t?r:(r.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return Lq(e,t)}dispose(){this.iterations_!=null&&je(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:Fe(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error( ` setWeights ( ) is not implemented for this optimizer class $ { this . getClassName ( ) } ` )}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(Ha,Symbol.hasInstance,{value:e=>e.minimize!=null&&e.computeGradients!=null&&e.applyGradients!=null});var f1=class extends Ha{constructor(e,t,n=null){super();this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=G.backend.epsilon())}applyGradients(e){(Array.isArray(e)?e.map(n=>n.name):Object.keys(e)).forEach((n,r)=>{let s=G.registeredVariables[n],a=!1;this.accumulatedGrads[r]==null&&(this.accumulatedGrads[r]={originalName: ` $ { n } / accum _grad ` ,variable:Z(()=>rt(s).variable(a))}),this.accumulatedUpdates[r]==null&&(this.accumulatedUpdates[r]={originalName: ` $ { n } / accum _var ` ,variable:Z(()=>rt(s).variable(a))});let o=Array.isArray(e)?e[r].tensor:e[n];if(o==null)return;let i=this.accumulatedGrads[r].variable,l=this.accumulatedUpdates[r].variable;Z(()=>{let u=pe(K(i,this.rho),K(wt(o),1-this.rho)),c=K(Re( $ n(pe(l,this.epsilon)), $ n(pe(i,this.epsilon))),o),d=pe(K(l,this.rho),K(wt(c),1-this.rho));i.assign(u),l.assign(d);let h=pe(K(c,-this.learningRate),s);s.assign(h)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(je(this.accumulatedGrads.map(e=>e.variable)),je(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){let e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variabl
$ { a } ) . ` );if(n<r)throw new Error( ` batchDims ( $ { r } ) must be less than or equal to axis ( $ { n } ) . ` );for(let d=0;d<r;++d)if(e.shape[d]!==t.shape[d])throw new Error( ` x . shape [ $ { d } ] : $ { e . shape [ d ] } should be equal to indices . shape [ $ { d } ] : $ { t . shape [ d ] } . ` );let o=e.shape[n],i=[],l=1,u=1,c=1;for(let d=0;d<r;++d)i.push(e.shape[d]),l*=e.shape[d];for(let d=r;d<n;d++)i.push(e.shape[d]),u*=e.shape[d];for(let d=r;d<s;d++)i.push(t.shape[d]);for(let d=n+1;d<a;d++)i.push(e.shape[d]),c*=e.shape[d];return{batchSize:l,sliceSize:c,outerSize:u,dimSize:o,outputShape:i}}function KY(e){try{return e.map(t=>ff(t))}catch(t){throw new Error( ` Failed to decode encoded string bytes into utf - 8 , error : $ { t } ` )}}function XY(e){return e.map(t=>pf(t))}var ca={};De(ca,{nonMaxSuppressionV3Impl:()=>OI,nonMaxSuppressionV4Impl:()=>PI,nonMaxSuppressionV5Impl:()=>zI,whereImpl:()=> $ I});re().prototype.abs=function(){return this.throwIfDisposed(),yn(this)};re().prototype.acos=function(){return this.throwIfDisposed(),H6(this)};re().prototype.acosh=function(){return this.throwIfDisposed(),G6(this)};re().prototype.add=function(e){return this.throwIfDisposed(),pe(this,e)};re().prototype.all=function(e,t){return this.throwIfDisposed(),RA(this,e,t)};re().prototype.any=function(e,t){return this.throwIfDisposed(),wf(this,e,t)};re().prototype.argMax=function(e){return this.throwIfDisposed(),kf(this,e)};re().prototype.argMin=function(e){return this.throwIfDisposed(),j6(this,e)};re().prototype.asScalar=function(){return this.throwIfDisposed(),z(this.size===1,()=>"The array must have only 1 element."),J(this,[])};re().prototype.asType=function(e){return this.throwIfDisposed(),ke(this,e)};re().prototype.as1D=function(){return this.throwIfDisposed(),J(this,[this.size])};re().prototype.as2D=function(e,t){return this.throwIfDisposed(),J(this,[e,t])};re().prototype.as3D=function(e,t,n){return this.throwIfDisposed(),J(this,[e,t,n])};re().prototype.as4D=function(e,t,n,r){return this.throwIfDisposed(),J(this,[e,t,n,r])};re().prototype.as5D=function(e,t,n,r,s){return this.throwIfDisposed(),J(this,[e,t,n,r,s])};re().prototype.asin=function(){return this.throwIfDisposed(),q6(this)};re().prototype.asinh=function(){return this.throwIfDisposed(),K6(this)};re().prototype.atan=function(){return this.throwIfDisposed(),X6(this)};re().prototype.atan2=function(e){return this.throwIfDisposed(),Z6(this,e)};re().prototype.atanh=function(){return this.throwIfDisposed(),Y6(this)};re().prototype.avgPool=function(e,t,n,r){return this.throwIfDisposed(),Sf(this,e,t,n,r)};re().prototype.batchToSpaceND=function(e,t){return this.throwIfDisposed(),Tf(this,e,t)};re().prototype.batchNorm=function(e,t,n,r,s){return this.throwIfDisposed(),Xl(this,e,t,n,r,s)};re().prototype.broadcastTo=function(e){return this.throwIfDisposed(),Sd(this,e)};re().prototype.cast=function(e){return this.throwIfDisposed(),ke(this,e)};re().prototype.ceil=function(){return this.throwIfDisposed(),rI(this)};re().prototype.clipByValue=function(e,t){return this.throwIfDisposed(),dr(this,e,t)};re().prototype.concat=function(e,t){return this.throwIfDisposed(),e instanceof Ct&&(e=[e]),en([this,...e],t)};re().prototype.conv1d=function(e,t,n,r,s,a){return this.throwIfDisposed(),MA(this,e,t,n,r,s,a)};re().prototype.conv2dTranspose=function(e,t,n,r,s){return this.throwIfDisposed(),PA(this,e,t,n,r,s)};re().prototype.conv2d=function(e,t,n,r,s,a){return this.throwIfDisposed(),Ba(this,e,t,n,r,s,a)};re().prototype.cos=function(){return this.throwIfDisposed(),Nf(this)};re().prototype.cosh=function(){return this.throwIfDisposed(),zA(this)};re().prototype.cumsum=function(e,t,n){return this.throwIfDisposed(),LA(this,e,t,n)};re().prototype.depthToSpace=function(e,t){return this.throwIfDisposed(),oI(this,e,t)};re().prototype.depthwiseConv2d=function(e,t,n,r,s,a){return this.throwIfDisposed(),Td(this,e,t,n,r,s,a)};re().prototype.dilation2d=function(e,t,n,r,s){return this.throwIfDisposed(),iI(this,e,t,n,r,s)};re().prototype.divNoNan=function(e){return this.throwIfDisposed(),lI(this,e)};re().prototype.div=function(e){return this.throwIfDisposed(),Re(this,e)};re().pro
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1. The $ { r } is defined in Python , in which case it needs to be ported to TensorFlow . js or your JavaScript code .
2. The custom $ { r } is defined in JavaScript , but is not registered properly with tf . serialization . registerClass ( ) . ` );return o}else{let a=e;if(a.className==null||a.config==null)throw new q( ` $ { r } : Improper config format : $ { JSON . stringify ( a ) } .
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1. The $ { r } is defined in Python , in which case it needs to be ported to TensorFlow . js or your JavaScript code .
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2. The custom $ { r } is defined in JavaScript , but is not registered properly with tf . serialization . registerClass ( ) . ` );if(l!=null){let u={};for(let p of Object.keys(Xr))u[p]=Xr[p];for(let p of Object.keys(n))u[p]=n[p];let c=a.config;c.customObjects=u;let d={...Xr};for(let p of Object.keys(n))Xr[p]=n[p];S1(a.config);let h=l(i,a.config,n,s);return Xr={...d},h}else{let u={...Xr};for(let d of Object.keys(n))Xr[d]=n[d];let c=new i(a.config);return Xr={...u},c}}}function YQ(e,t){return e<t?-1:e>t?1:0}function Hf(e,t){return-1*YQ(e,t)}function Ga(e){if(e==null)return e;let t=[];for(let n of e)t.indexOf(n)===-1&&t.push(n);return t}function JQ(e){if(e==null)throw new q( ` Invalid value in obj : $ { JSON . stringify ( e ) } ` );for(let t in e)if(e.hasOwnProperty(t))return!1;return!0}function oi(e,t,n){if(n!=null&&e.indexOf(n)<0)throw new q( ` $ { n } is not a valid $ { t } . Valid values are $ { e } or null / undefined . ` )}function T1(e,t,n=0,r=Infinity){return Ds(n>=0),Ds(r>=n),Array.isArray(e)&&e.length>=n&&e.length<=r&&e.every(s=>typeof s===t)}function An(e,t){Array.isArray(e)?(k.assert(e.length>0,()=> ` $ { t } is unexpectedly an empty array . ` ),e.forEach((n,r)=>An(n, ` element $ { r + 1 } of $ { t } ` ))):k.assert(Number.isInteger(e)&&e>0,()=> ` Expected $ { t } to be a positive integer , but got $ { aS ( e ) } . ` )}function aS(e){return e===null?"null":Array.isArray(e)?"["+e.map(t=>aS(t)).join(",")+"]":typeof e=="string"? ` "${e}" ` : ` $ { e } ` }function QQ(e,t){let n=k.now(),r;return(...a)=>{let o=k.now();return o-n<t||(n=o,r=e(...a)),r}}function oS(e){return e==="relu"?"relu":e==="linear"?"linear":e==="elu"?"elu":null}function N1(e,t){return Z(()=> $ n(_e(K(e,e),t,!0)))}var Od=class extends ce.Serializable{getConfig(){return{}}},C1=class extends Od{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 Z(()=>{let t=N1(e,this.axis),n=dr(t,0,this.maxValue);return K(e,Re(n,pe(cn(),t)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};C1.className="MaxNorm";ce.registerClass(C1);var E1=class extends Od{constructor(e){super();this.defaultAxis=0,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return Z(()=>Re(e,pe(cn(),N1(e,this.axis))))}getConfig(){return{axis:this.axis}}};E1.className="UnitNorm";ce.registerClass(E1);var $ 1=class extends Od{apply(e){return ua(e)}}; $ 1.className="NonNeg";ce.registerClass( $ 1);var _1=class extends Od{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 Z(()=>{let t=N1(e,this.axis),n=pe(K(this.rate,dr(t,this.minValue,this.maxValue)),K(1-this.rate,t));return K(e,Re(n,pe(cn(),t)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};_1.className="MinMaxNorm";ce.registerClass(_1);var iS={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function dn(e){return I1(e)}function lS(e,t={}){return Md(e,ce.SerializationMap.getMap().classNameMap,t,"constraint")}function hn(e){if(e==null)return null;if(typeof e=="string"){let n={className:e in iS?iS[e]:e,config:{}};return lS(n)}else return e instanceof Od?e:lS(e)}function eee(e){return new C1(e)}function tee(e){return new E1(e)}function nee(){return new $ 1}function ree(e){return new _1(e)}var uS={};De(uS,{constant:()=>Tee,glorotNormal:()=>Dee,glorotUniform:()=>Ree,heNormal:()=>Fee,heUniform:()=>Mee,identity:()=> $ ee,leCunNormal:()=>Oee,leCunUniform:()=>Pee,ones:()=>See,orthogonal:()=>zee,randomNormal:()=>Cee,randomUniform:()=>Nee,truncatedNormal:()=>Eee,varianceScaling:()=>_ee,zeros:()=>Iee});var see=["channelsFirst","channelsLast"],aee=["nearest","bilinear"],oee=["valid","same","causal"],iee=["max","avg"],lee=["sum","mul","concat","ave"],nu=new Map;function Yt(e){oi(see,"DataFormat",e)}function uee(e){oi(aee,"Interpolati
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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),Yr(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,Sn(t),n.written=!0,this.tensors[e]=n}writeMany(e,t){if(e.length!==t.length)throw new Error( ` TensorArray $ { this . name } : could not write multiple tensors , because the index size : $ { e . length } is not the same as tensors size : $ { t . length } . ` );e.forEach((n,r)=>this.write(n,t[r]))}gather(e,t){if(!!t&&t!==this.dtype)throw new Error( ` TensorArray dtype is $ { this . dtype } but gather requested dtype $ { t } ` );if(e)e=e.slice(0,this.size());else{e=[];for(let r=0;r<this.size();r++)e.push(r)}if(e.length===0)return $ s([],[0].concat(this.elementShape));let n=this.readMany(e);return Yr(this.elementShape,n[0].shape,"TensorArray shape mismatch: "),Mr(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 $ s([],[0].concat(this.elementShape));let t=[];for(let r=0;r<this.size();r++)t.push(r);let n=this.readMany(t);return Yr(this.elementShape,n[0].shape, ` TensorArray shape mismatch : tensor array shape ( $ { this . elementShape } ) vs first tensor shape ( $ { n [ 0 ] . shape } ) ` ),en(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,ls(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error( ` TensorArray dtype is $ { this . dtype } but tensor has dtype $ { t . dtype } ` );let n=0,r=e.map(i=>(n+=i,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 s=n===0?0:t.size/n,a=[];Z(()=>{t=J(t,[1,n,s]);for(let i=0;i<e.length;++i){let l=i===0?0:r[i-1],u=[0,l,0],c=[1,e[i],s];a[i]=J(nt(t,u,c),this.elementShape)}return a});let o=[];for(let i=0;i<e.length;i++)o[i]=i;this.writeMany(o,a)}},Qd=class{constructor(e,t,n,r=-1){this.tensors=e,this.elementShape=t,this.elementDtype=n,e!=null&&e.forEach(s=>{if(n!==s.dtype)throw new Error( ` Invalid data types ; op elements $ { n } , but list elements $ { s . dtype } ` );Yr(t,s.shape,"TensorList shape mismatch: "),Sn(s)}),this.idTensor=Fe(0),this.maxNumElements=r,Sn(this.idTensor)}get id(){return this.idTensor.id}copy(){return new Qd([...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 . ` );Yr(e,this.elementShape,"TensorList shape mismatch: ");let r=Jd(this.elementShape,this.tensors,e);return Z(()=>{let s=this.tensors.map(a=>J(a,r));return Mr(s,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { t } , but list elements $ { this . elementDtype } ` );if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=Jd(this.elementShape,this.tensors,e),r=this.tensors.pop();return Yr(r.shape,e,"TensorList shape mismatch: "),J(r,n)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { e . dtype } , but list elements $ { this . elementDtype } ` );if(Yr(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Sn(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 . ` );Yr(this.tensors[e].shape,t,"TensorList shape mismatch: ");let r=Jd(this.elementShape,this.tensors,t);return J(this.tensors[e],r)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { t . dtype } , but list elements $ { this . elementDtype } ` );if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error( ` Trying to set element $ { e } in a list with max $ { this . maxNumElements } elements . ` );Yr(this.elementShape,t.shape,"TensorList shape mismatch: "),Sn(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 } ` );Yr(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());let r=Jd(this.elementShape,this.tensors,n);return e.length===0? $ s([],[0].concat(r)):Z(()=>{let s=e.map(a=>J(this.tensors[a],r));return Mr(s,0)})}concat(e,t){if(!!e&&e!==this.elementDtype)throw new Error( ` TensorList dtype is $ { this . elementDtype } but concat requested dtype $ { e } ` );Yr(this.elementShape,t,"TensorList shape mismatch: ");let n=Jd(this.elementShape,this.tensors,t);return this.size()===0? $ s([],[0].concat(n)):Z(()=>{let r=this.tensors.map(s=>J(s,n));return en(r,0)})}};function ose(e,t,n){let r=e.dtype;if(e.shape.length<1)throw new Error( ` Tensor
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tensor . shape [ 0 ] , but sum of lengths is
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$ { e } ` );let r;return this.size===Infinity||this.size==null?r=this.size:t?r=Math.ceil(this.size/e):r=Math.floor(this.size/e),fr(async()=>(await n.iterator()).columnMajorBatch(e,t,lae),r)}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,fr(async()=>(await t.iterator()).concatenate(await e.iterator()),n)}filter(e){let t=this,n;return this.size===Infinity?n=Infinity:n=null,fr(async()=>(await t.iterator()).filter(r=>Z(()=>e(r))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){let t=this;return fr(async()=>(await t.iterator()).map(n=>Z(()=>e(n))),this.size)}mapAsync(e){let t=this;return fr(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 fr(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,fr(async()=>{let r=N5(async()=>({value:await t.iterator(),done:!1}));return jse(r.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,fr(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 r = this , s = zse . alea ( t || k . now ( ) . toString ( ) ) ; return fr ( async ( ) => { let a = s . int32 ( ) ; return n && ( a += s . int32 ( ) ) , ( await r . iterator ( ) ) . shuffle ( e , a . toString ( ) ) } , this . size ) } take ( e ) { let t = this , n ; return this . size != null && this . size > e ? n = e : this . size != null && this . size <= e ? n = this . size : n = null , fr ( 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 ( ) } } ; uu . MAX _BUFFER _SIZE = 1e4 ; function fr ( e , t = null ) { return new class extends uu { constructor ( ) { super ( ... arguments ) ; this . size = t } async iterator ( ) { return e ( ) } } } function oae ( e ) { return fr ( async ( ) => CT ( e ) , e . length ) } function iae ( e ) { if ( ! lu ( 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 fr ( async ( ) => { let n = await IT ( e , r => { if ( r instanceof uu ) return { value : r . iterator ( ) , recurse : ! 1 } ; if ( lu ( r ) ) return { value : null , recurse : ! 0 } ; throw new Error ( "Leaves of the structure passed to zip() must be Datasets, not primitives." ) } ) ; return qse ( n , Tm . SHORTEST ) } , t ) } function lae ( e ) { if ( e === null ) return null ; let t = e [ 0 ] ; return Vse ( t ) ? { value : uae ( e ) , recurse : ! 1 } : { value : null , recurse : ! 0 } } function uae ( e ) { if ( e . length === 0 ) throw new Error ( "Can't make a batch of zero elements." ) ; return e [ 0 ] instanceof Ct ? Mr ( e ) : $s ( e ) } var RT = class extends uu { constructor ( e ) { super ( ) ; this . input = e } async iterator ( ) { return ( await this . input . iterator ( ) ) . decodeUTF8 ( ) . split ( `
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2021-06-07 02:34:29 +02:00
=== === === === === === === === === =
Hi there \ u { 1 F44B } . Looks like you are running TensorFlow . js in Node . js . To speed things up dramatically , install our node backend , which binds to TensorFlow C ++ , by running npm i @ tensorflow / tfjs - node , or npm i @ tensorflow / tfjs - node - gpu if you have CUDA . Then call require ( '@tensorflow/tfjs-node' ) ; ( - gpu suffix for CUDA ) at the start of your program . Visit https : //github.com/tensorflow/tfjs-node for more details.
2021-06-14 16:23:06 +02:00
=== === === === === === === === === = ` ));let r={id:this.nextDataId()};return this.data.set(r,{values:e,dtype:n,refCount:1}),r}makeTensorInfo(e,t,n){let r;if(t==="string"&&n!=null&&n.length>0&&k.isString(n[0])){let s=n.map(a=>k.encodeString(a));r=this.write(s,e,t)}else r=this.write(n,e,t);return{dataId:r,shape:e,dtype:t}}refCount(e){return this.data.has(e)?this.data.get(e).refCount:0}incRef(e){let t=this.data.get(e);t.refCount++}decRef(e){if(this.data.has(e)){let t=this.data.get(e);t.refCount--}}move(e,t,n,r,s){this.data.set(e,{values:t,dtype:r,refCount:s})}numDataIds(){return this.data.numDataIds()}async read(e){return this.readSync(e)}readSync(e){let{dtype:t,complexTensorInfos:n}=this.data.get(e);if(t==="complex64"){let r=this.readSync(n.real.dataId),s=this.readSync(n.imag.dataId);return R.mergeRealAndImagArrays(r,s)}return this.data.get(e).values}bufferSync(e){let t=this.readSync(e.dataId),n=t;if(e.dtype==="string")try{n=t.map(r=>k.decodeString(r))}catch(r){throw new Error("Failed to decode encoded string bytes into utf-8")}return Le(e.shape,e.dtype,n)}makeOutput(e,t,n){let r=this.write(e,t,n);return za().makeTensorFromDataId(r,t,n,this)}disposeData(e,t=!1){if(this.data.has(e)){if(this.data.get(e).refCount--,!t&&this.data.get(e).refCount>0)return!1;let{complexTensorInfos:n}=this.data.get(e);n!=null&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(e)}return!0}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}async time(e){let t=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){Te([e],"where");let t=this.readSync(e.dataId);return kae(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}}, $ 5=HT; $ 5.nextDataId=0;var GT={};De(GT,{addImpl:()=>qT,bincountImpl:()=>R5,bincountReduceImpl:()=>KT,ceilImpl:()=>XT,concatImpl:()=>ZT,equalImpl:()=>YT,expImpl:()=>QT,expm1Impl:()=>tN,floorImpl:()=>nN,gatherNdImpl:()=>rN,gatherV2Impl:()=>sN,greaterEqualImpl:()=>oN,greaterImpl:()=>aN,lessEqualImpl:()=>lN,lessImpl:()=>iN,linSpaceImpl:()=>uN,logImpl:()=>cN,maxImpl:()=>dN,maximumImpl:()=>hN,minimumImpl:()=>pN,multiplyImpl:()=>D5,negImpl:()=>fN,notEqualImpl:()=>mN,prodImpl:()=>gN,rangeImpl:()=>yN,rsqrtImpl:()=>AN,simpleAbsImpl:()=>jT,sliceImpl:()=>xN,sparseFillEmptyRowsImpl:()=>bN,sparseReshapeImpl:()=>vN,sparseSegmentReductionImpl:()=>M5,squaredDifferenceImpl:()=>wN,stridedSliceImpl:()=>kN,stringNGramsImpl:()=>IN,stringSplitImpl:()=>SN,stringToHashBucketFastImpl:()=>TN,subImpl:()=>NN,tileImpl:()=>CN,topKImpl:()=>EN,transposeImpl:()=>F5,uniqueImpl:()=> $ N});function jT(e){let t=new Float32Array(e.length);for(let n=0;n<e.length;++n)t[n]=Math.abs(e[n]);return t}var Iae=e=>{let{x:t}=e.inputs,n=e.backend;Te(t,"abs");let r=new Float32Array(k.sizeFromShape(t.shape)),s=n.data.get(t.dataId).values;return r=jT(s),n.makeOutput(r,t.shape,"float32")},Sae={kernelName:xc,backendName:"cpu",kernelFunc:Iae};function nn(e){return(t,n,r,s,a)=>{let o=R.assertAndGetBroadcastShape(t,n),i=o.length,l=k.computeStrides(o),u=k.sizeFromShape(o),c=k.getTypedArrayFromDType(a,u),d=t.length,h=n.length,p=k.computeStrides(t),f=k.computeStrides(n),m=R.getBroadcastDims(t,o),g=R.getBroadcastDims(n,o);if(m.length+g.length===0)for(let y=0;y<c.length;++y)c[y]=e(r[y%r.length],s[y%s.length]);else for(let y=0;y<c.length;++y){let A=k.indexToLoc(y,i,l),x=A.slice(-d);m.forEach(S=>x[S]=0);let b=k.locToIndex(x,d,p),v=A.slice(-h);g.forEach(S=>v[S]=0);let w=k.locToIndex(v,h,f);c[y]=e(r[b],s[w])}return[c,o]}}function mr(e){let{inputs:t,backend:n}=e,{real:r,imag:s}=t,a=n.data.get(r.dataId).values,o=n.data.get(s.dataId).values,i=n.makeTensorInfo(r.shape,"complex64"),l=n.data.get(i.dataId);return l.complexTensorInfos={real:n.makeTensorInfo(r.shape,"float32",a),imag:n.makeTensorInfo(s.shape,"float32",o)},i}var Tae={kernelName:Iy,backendName:"cpu",kernelFunc:mr};function Em(e,t,n="float32"){if(n==="complex64"){let s=Em(e,t,"float32"),a=Em(e,t,"float32");return mr({inputs:{re
indices . shape [ 0 ] = $ { i } ` );let g=k.getArrayFromDType(n,0),y=k.getArrayFromDType(s,0);return[g,[0,d],y,u,c]}let h=!0,p=0,f=new Array(l).fill(0);for(let g=0;g<i;++g){let y=e[g*d];if(y<0)throw new Error( ` indices ( $ { g } , 0 ) is invalid : $ { y } < 0 ` );if(y>=l)throw new Error( ` indices ( $ { g } , 0 ) is invalid : $ { y } >= $ { l } ` );++f[y],h=h&&y>=p,p=y}let m=!0;for(let g=0;g<l;++g){let y=f[g]===0;u[g]=y,m=m&&!y,f[g]=Math.max(f[g],1),g>0&&(f[g]+=f[g-1])}if(m&&h){let g=e,y=r;for(let A=0;A<i;++A)c[A]=A;return[g,[i,d],y,u,c]}else{let g=f[l-1],y=k.getArrayFromDType(n,g*d),A=k.getArrayFromDType(s,g),x=new Array(l).fill(0);for(let b=0;b<i;++b){let v=e[b*d],w=x[v],S=(v===0?0:f[v-1])+w;x[v]++;for(let I=0;I<d;++I)y[S*d+I]=e[b*d+I];A[S]=r[b],c[b]=S}for(let b=0;b<l;++b)if(x[b]===0){let w=b===0?0:f[b-1];y[w*d+0]=b;for(let S=1;S<d;++S)y[w*d+S]=0;A[w]=o}return[y,[g,d],A,u,c]}}function vN(e,t,n,r,s){let a=k.sizeFromShape(r),o=t[0],i=s.length,l=[],u=1,c=-1;for(let g=0;g<i;++g){let y=s[g];if(y===-1){if(c!==-1)throw new Error( ` only one output dimension may be - 1 , not both $ { c } and $ { g } ` );c=g,l.push(1)}else{if(y<0)throw new Error( ` size $ { g } must be non - negative , not $ { y } ` );u*=y,l.push(y)}}if(c!==-1){if(u<=0)throw new Error("reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero");let g=Math.trunc(a/u);if(u*g!==a)throw new Error( ` Input to reshape is a SparseTensor with $ { a }
dense values , but the requested shape requires a multiple of $ { u } . inputShape = $ { r } outputShape = $ { l } ` );l[c]=g}let d=k.sizeFromShape(l);if(d!==a)throw new Error( ` Input to reshape is a tensor with $ { a } dense values , but the requested shape has $ { d } . inputShape = $ { r } outputShape = $ { l } ` );let h=r.length,p=[];if(h>0){p[h-1]=1;for(let g=h-2;g>=0;--g)p[g]=p[g+1]*r[g+1]}let f=[];if(i>0){f[i-1]=1;for(let g=i-2;g>=0;--g)f[g]=f[g+1]*l[g+1]}let m=k.getArrayFromDType(n,o*i);for(let g=0;g<o;++g){let y=0;for(let A=0;A<h;++A)y+=e[g*h+A]*p[A];for(let A=0;A<i;++A)m[g*i+A]=Math.trunc(y/f[A]),y%=f[A]}return[m,[o,i],l]}function M5(e,t,n,r,s,a=!1,o=0){let i=r.length;if(i!==s.length)throw new Error("segmentIds and indices should have same size.");let l=[t[0],e.length/t[0]],u=l[1],d=i>0?s[i-1]+1:0;if(d<0)throw new Error("segment ids must be >= 0");let h=t.slice();h[0]=d;let p=h.reduce((x,b)=>x*b,1),f=k.getArrayFromDType(n,p);if(i===0)return d>0&&f.fill(o),[f,h];if(d<=0)throw new Error("segment ids must be >= 0");let m=0,g=1,y=0,A=s[m];for(;;){let x=0;if(g<i){if(x=s[g],A===x){++g;continue}if(A>=x)throw new Error("segment ids are not increasing")}if(A<0||A>=d)throw new Error( ` Segment id $ { A } out of range [ 0 , $ { d } ) , possibly because segmentIds input is not sorted . ` );A>y&&f.fill(o,y*u,A*u);for(let b=m;b<g;++b){let v=r[b];if(v<0||v>=l[0])throw new Error( ` Bad : indices [ $ { b } ] == $ { r [ b ] } out of range [ 0 , $ { l [ 0 ] } ) ` );for(let w=0;w<u;w++)f[A*u+w]+=e[v*u+w]}if(a)for(let b=0;b<u;b++)f[A*u+b]/=g-m;if(m=g,++g,y=A+1,A=x,g>i)break}return y<d&&f.fill(o,y*u,d*u),[f,h]}var wN=nn((e,t)=>{let n=e-t;return n*n}),hoe=bn(Po,wN),poe={kernelName:Po,backendName:"cpu",kernelFunc:hoe};function kN(e,t,n,r){let s=Le(e,t.dtype);for(let a=0;a<s.size;a++){let o=s.indexToLoc(a),i=new Array(o.length);for(let l=0;l<i.length;l++)i[l]=o[l]*n[l]+r[l];s.set(t.get(...i),...o)}return s}var foe=class{constructor(e,t,n,r,s,a){this.separator=k.encodeString(e),this.nGramWidths=t,this.leftPad=k.encodeString(n),this.rightPad=k.encodeString(r),this.padWidth=s,this.preserveShort=a}getPadWidth(e){return Math.min(this.padWidth<0?e-1:this.padWidth,e-1)}getNumNGrams(e,t){let n=this.getPadWidth(t);return Math.max(0,e+2*n-t+1)}createNGrams(e,t,n,r,s,a){for(let o=0;o<s;++o){let i=this.getPadWidth(a),l=Math.max(0,i-o),u=Math.max(0,i-(s-(o+1))),c=a-(l+u),d=t+(l>0?0:o-i),h=0;h+=l*this.leftPad.length;for(let y=0;y<c;++y)h+=e[d+y].length;h+=u*this.rightPad.length,h+=(l+u+c-1)*this.separator.length,n[r+o]=new Uint8Array(h);let f=n[r+o],m=0,g=y=>y.forEach(A=>f[m++]=A);for(let y=0;y<l;++y)g(this.leftPad),g(this.separator);for(let y=0;y<c-1;++y)g(e[d+y]),g(this.separator);if(c>0){g(e[d+c-1]);for(let y=0;y<u;++y)g(this.separator),g(this.rightPad)}else{for(let y=0;y<u-1;++y)g(this.rightPad),g(this.separator);g(this.rightPad)}}}compute(e,t){let n=e.length,r=t.length;if(r>0){let i=t[0];if(i!==0)throw new Error( ` First split value must be 0 , got $ { i } ` );for(let l=1;l<r;++l){let u=t[l]>=i;if(u=u&&t[l]<=n,!u)throw new Error( ` Invalid split value $ { t [ l ] } , must be in [ $ { i } , $ { n } ] ` );i=t[l]}if(i!==n)throw new Error( ` Last split value must be data size . Expected $ { n } , got $ { i } ` )}let s=r-1,a=k.getArrayFromDType("int32",r);if(n===0||r===0){let i=new Array(n);for(let l=0;l<=s;++l)a[l]=0;return[i,a]}a[0]=0;for(let i=1;i<=s;++i){let l=t[i]-t[i-1],u=0;this.nGramWidths.forEach(c=>{u+=this.getNumNGrams(l,c)}),this.preserveShort&&l>0&&u===0&&(u=1),a[i]=a[i-1]+u}let o=new Array(a[s]);for(let i=0;i<s;++i){let l=t[i],u=a[i];if(this.nGramWidths.forEach(c=>{let d=t[i+1]-t[i],h=this.getNumNGrams(d,c);this.createNGrams(e,l,o,u,h,c),u+=h}),this.preserveShort&&u===a[i]){let c=t[i+1]-t[i];if(c===0)continue;let d=c+2*this.padWidth,h=1;this.createNGrams(e,l,o,u,h,d)}}return[o,a]}};function IN(e,t,n,r,s,a,o,i){return new foe(n,r,s,a,o,i).compute(e,t)}function moe(e,t,n){if(!e.length)return[];if(t.length===0){let a=new Array(e.length);for(let o=0;o<e.length;++o)a[o]=e.subarray(o,o+1);return a}if(t.length===1){let a=t[0],o=[],i=e.indexOf(a);for(;i!==-1;){let l=e.subarray(0,i);(!n||l.length!==0)&&o.push(l),e=e.subarray(i+1),i=e.indexOf(a)}retur
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$ { a . shape } ` );if(r.shape.length!==2)throw new Error( ` Indices must be a matrix , saw :
$ { r . shape } ` );if(s.shape.length!==1)throw new Error( ` Values must be a vector , saw :
$ { s . shape } ` );if(o.shape.length!==0)throw new Error( ` Default value must be a scalar , saw :
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$ { o . shape } ` );let i=n.data.get(r.dataId).values,l=n.data.get(s.dataId).values,u=n.data.get(a.dataId).values,c=n.data.get(o.dataId).values[0],[d,h,p,f,m]=bN(i,r.shape,r.dtype,l,s.dtype,u,c);return[n.makeTensorInfo(h,r.dtype,d),n.makeTensorInfo([h[0]],s.dtype,p),n.makeTensorInfo([f.length],"bool",new Uint8Array(f.map(g=>Number(g)))),n.makeTensorInfo([m.length],r.dtype,new Int32Array(m))]}var $ ce={kernelName:Ky,backendName:"cpu",kernelFunc:Ece};function _ce(e){let{inputs:t,backend:n}=e,{inputIndices:r,inputShape:s,newShape:a}=t;if(r.shape.length!==2)throw new Error( ` Input indices should be a matrix but received shape
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$ { r . shape } ` );if(s.shape.length!==1)throw new Error( ` Input shape should be a vector but received shape
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$ { s . shape } ` );if(a.shape.length!==1)throw new Error( ` Target shape should be a vector but received shape $ { a . shape } ` );let o=Array.from(n.data.get(s.dataId).values),i=n.data.get(r.dataId).values,l=Array.from(n.data.get(a.dataId).values),[u,c,d]=vN(i,r.shape,r.dtype,o,l);return[n.makeTensorInfo(c,r.dtype,u),n.makeTensorInfo([d.length],a.dtype,new Int32Array(d))]}var Rce={kernelName:Xy,backendName:"cpu",kernelFunc:_ce};function Dce(e){let{inputs:t,backend:n}=e,{data:r,indices:s,segmentIds:a}=t;if(r.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(s.shape.length!==1)throw new Error( ` Indices should be a vector but received shape
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$ { s . shape } ` );if(a.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
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$ { a . shape } ` );let o=n.data.get(r.dataId).values,i=n.data.get(s.dataId).values,l=n.data.get(a.dataId).values,[u,c]=M5(o,r.shape,r.dtype,i,l,!0);return n.makeTensorInfo(c,r.dtype,u)}var Fce={kernelName:Zy,backendName:"cpu",kernelFunc:Dce};function Mce(e){let{inputs:t,backend:n}=e,{data:r,indices:s,segmentIds:a}=t;if(r.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(s.shape.length!==1)throw new Error( ` Indices should be a vector but received shape
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$ { s . shape } ` );if(a.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
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$ { a . shape } ` );let o=n.data.get(r.dataId).values,i=n.data.get(s.dataId).values,l=n.data.get(a.dataId).values,[u,c]=M5(o,r.shape,r.dtype,i,l);return n.makeTensorInfo(c,r.dtype,u)}var Oce={kernelName:Yy,backendName:"cpu",kernelFunc:Mce};function Pce(e){let{inputs:t,backend:n,attrs:r}=e,{sparseIndices:s,sparseValues:a,defaultValue:o}=t,{outputShape:i}=r,{sliceRank:l,numUpdates:u,sliceSize:c,strides:d,outputSize:h}=R.calculateShapes(a,s,i),p=!1,f=n.bufferSync(s),m=n.bufferSync(a),g=n.data.get(o.dataId).values[0],y=KN(f,m,i,h,c,u,l,d,g,p);return n.makeTensorInfo(i,y.dtype,y.values)}var zce={kernelName:Jy,backendName:"cpu",kernelFunc:Pce};function Lce(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{numOrSizeSplits:a,axis:o}=r,i=k.parseAxisParam(o,s.shape)[0],l=R.prepareSplitSize(s,a,i),u=new Array(s.shape.length).fill(0),c=s.shape.slice();return l.map(d=>{let h=[...c];h[i]=d;let p=fi({inputs:{x:s},backend:n,attrs:{begin:u,size:h}});return u[i]+=d,p})}var Bce={kernelName:id,backendName:"cpu",kernelFunc:Lce},Wce=xt(Dl,e=>Math.sqrt(e)),Vce={kernelName:Dl,backendName:"cpu",kernelFunc:Wce},Uce={kernelName:lf,backendName:"cpu",kernelFunc:({inputs:e,backend:t})=>{let{x:n}=e,r=t;Te(n,"square");let s=r.data.get(n.dataId).values,a=new Float32Array(s.length);for(let i=0;i<s.length;++i){let l=s[i];a[i]=l*l}return{dataId:r.write(a,n.shape,n.dtype),shape:n.shape,dtype:n.dtype}}},Hce=xt(Bo,(e,t)=>{let n=t;return isNaN(e)?NaN:e>0?1:n.alpha}),Gce={kernelName:Bo,backendName:"cpu",kernelFunc:Hce};function jce(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{begin:a,end:o,strides:i,beginMask:l,endMask:u,ellipsisMask:c,newAxisMask:d,shrinkAxisMask:h}=r;Te(s,"stridedSlice");let{nonStrided:p, $ begin:f, $ strides:m,size:g,newShape:y,outShape:A}=En.sliceInfo(s.shape,a,o,i,l,u,c,d,h),x=Ft({inputs:{x:s},backend:n,attrs:{shape:y}}),b;if(p){let w=fi({inputs:{x},backend:n,attrs:{begin:f,size:g}});b=Ft({inputs:{x:w},backend:n,attrs:{shape:A}}),n.disposeIntermediateTensorInfo(w)}else if(A.some(w=>w===0))b=n.makeTensorInfo(A,s.dtype,[]);else{let w=n.bufferSync(x),S=kN(A,w,m,f);b=n.makeTensorInfo(S.shape,S.dtype,S.values)}let v=Ft({inputs:{x:b},backend:n,attrs:{shape:A}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(b),v}var qce={kernelName:ld,backendName:"cpu",kernelFunc:jce};function Kce(e){let{inputs:t,backend:n,attrs:r}=e,{separator:s,nGramWidths:a,leftPad:o,rightPad:i,padWidth:l,preserveShortSequences:u}=r,{data:c,dataSplits:d}=t,h=n.data.get(c.dataId).values,p=n.data.get(d.dataId).values,[f,m]=IN(h,p,s,a,o,i,l,u);return[n.makeTensorInfo([f.length],"string",f),n.makeTensorInfo(d.shape,"int32",m)]}var Xce={kernelName:Qy,backendName:"cpu",kernelFunc:Kce};function Zce(e){let{inputs:t,backend:n,attrs:r}=e,{skipEmpty:s}=r,{input:a,delimiter:o}=t;if(a.dtype!=="string")throw new Error("Input must be of datatype string");if(a.shape.length!==1)throw new Error( ` Input must be a vector , got shape : $ { a . shape } ` );if(o.shape.length!==0)throw new Error( ` Delimiter must be a scalar , got shape : $ { o . shape } ` );let i=n.data.get(a.dataId).values,l=n.data.get(o.dataId).values[0],[u,c,d]=SN(i,l,s),h=c.length;return[n.makeTensorInfo([h,2],"int32",u),n.makeTensorInfo([h],"string",c),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var Yce={kernelName:eA,backendName:"cpu",kernelFunc:Zce};function Jce(e){let{inputs:t,backend:n,attrs:r}=e,{numBuckets:s}=r,{input:a}=t;if(a.dtype!=="string")throw new Error("Input must be of datatype string");if(s<=0)throw new Error("Number of buckets must be at least 1");let o=n.data.get(a.dataId).values,i=TN(o,s);return n.makeTensorInfo(a.shape,"int32",i)}var Qce={kernelName:tA,backendName:"cpu",kernelFunc:Jce},ede=xt(Ol,e=>Math.tan(e)),tde={kernelName:Ol,backendName:"cpu",kernelFunc:ede},nde=xt(Pl,e=>Math.tanh(e)),rde={kernelName:Pl,backendName:"cpu",kernelFunc:nde};function sde(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{reps:a}=r;Te(s,"tile");let o=CN(n.bufferSync(s),a);return n.makeTensorInfo(o.shape,o.dtype,o.values)}var ade={kernelName:Lo,backendName:"cpu",kernelFunc:sde};function ode(e){let{inputs:t,backend:n,attrs:r
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` ),a=s.length.toString().length+2,o=s.map((d,h)=>k.rightPad((h+1).toString(),a)+d),i=0;for(let d=0;d<o.length;d++)i=Math.max(o[d].length,i);let l=o.slice(0,r-1),u=o.slice(r-1,r),c=o.slice(r);console.log(l.join( `
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` )),console.log(t.split( `
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` )[0]),console.log( ` % c $ { k . rightPad ( u [ 0 ] , i ) } ` ,"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(c.join( `
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` ))}function nC(e){return ya(e,()=>e.createProgram(),"Unable to create WebGLProgram.")}function rC(e,t){if(Ie(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 Fm(e,t){if(Ie(e,()=>e.validateProgram(t)),e.getProgramParameter(t,e.VALIDATE_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function sC(e,t){let n=ya(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return Ie(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),Ie(e,()=>e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function aC(e,t){let n=ya(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return Ie(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)),Ie(e,()=>e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function Rde(){return ae().getNumber("WEBGL_VERSION")===2?1:4}function oC(e){return ya(e,()=>e.createTexture(),"Unable to create WebGLTexture.")}function iC(e,t){let n=ae().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0){let r= ` [ $ { e } x$ { t } ] ` ;throw new Error("Requested texture size "+r+" is invalid.")}if(e>n||t>n){let r= ` [ $ { e } x$ { t } ] ` ,s= ` [ $ { n } x$ { n } ] ` ;throw new Error("Requested texture size "+r+" greater than WebGL maximum on this browser / GPU "+s+".")}}function lC(e){return ya(e,()=>e.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function G5(e,t,n,r,s,a,o){let i=e.getAttribLocation(t,n);return i===-1?!1:(Ie(e,()=>e.bindBuffer(e.ARRAY_BUFFER,r)),Ie(e,()=>e.vertexAttribPointer(i,s,e.FLOAT,!1,a,o)),Ie(e,()=>e.enableVertexAttribArray(i)),!0)}function uC(e,t,n){fC(e,n),Ie(e,()=>e.activeTexture(e.TEXTURE0+n)),Ie(e,()=>e.bindTexture(e.TEXTURE_2D,t))}function Dde(e,t){fC(e,t),Ie(e,()=>e.activeTexture(e.TEXTURE0+t)),Ie(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function cC(e,t,n){return ya(e,()=>e.getUniformLocation(t,n),'uniform "'+n+'" not present in program.')}function dC(e,t,n){return e.getUniformLocation(t,n)}function hC(e,t,n,r){Ie(e,()=>uC(e,t,r)),Ie(e,()=>e.uniform1i(n,r))}function Fde(e){Ie(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),Ie(e,()=>e.viewport(0,0,e.canvas.width,e.canvas.height)),Ie(e,()=>e.scissor(0,0,e.canvas.width,e.canvas.height))}function Mm(e,t,n){Ie(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,n)),Ie(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0))}function j5(e,t){Ie(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,t)),Ie(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0))}function lh(e){let t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+pC(e,t))}function pC(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 ya(e,t,n){let r=Ie(e,()=>t());if(r==null)throw new Error(n);return r}function fC(e,t){let n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,r=t+e.TEXTURE0;if(r<e.TEXTURE0||r>n){let s= ` [ gl . TEXTURE0 , gl . TEXTURE$ { n } ] ` ;throw new Error( ` textureUnit must be in $ { s } . ` )}}function gi(e,t=2){return k.sizeFromShape(e.slice(0,e.length-t))}function yi(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 Om(e){let t=[1,1,1];return e.length===0||e.length===1&&e[0]===1||(t=[gi(e),...yi(e)]),t}function mC(e,t=!1){let n=ae().getNumber("WEBGL_MAX_TEXTURE_SIZE");t&&(n=n*2,e=e.map((s,a)=>a>=e.length-2?k.nearestLargerEven(e[a]):e[a]),e.length===1&&(e=[2,e[0]])),e.length!==2&&(e=k.squeezeShape(e).newShape);let r=k.sizeFromShape(e);if(e.length<=1&&r<=n)return[1,r];if(e.length===2&&e[0]<=n&&e[1]<=n)return e;if(e.length===3&&e[0]*e[1]<=n&&e[2]<=n)return[e[0]*e[1],e[2]];if(e.length===3&&e[0]<=n&&e[1]*e[2]<=n)return[e[0],e[1]*e[2]];if(e.length===4&&e[0
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bool isnan _custom ( float val ) {
return ( val > 0.0 || val < 0.0 ) ? false : val != 0.0 ;
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}
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bvec4 isnan _custom ( vec4 val ) {
return bvec4 ( isnan _custom ( val . x ) ,
isnan _custom ( val . y ) , isnan _custom ( val . z ) , isnan _custom ( val . w ) ) ;
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}
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# define isnan ( value ) isnan _custom ( value )
` ,l="",u= `
# define round ( value ) newRound ( value )
int newRound ( float value ) {
return int ( floor ( value + 0.5 ) ) ;
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}
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ivec4 newRound ( vec4 value ) {
return ivec4 ( floor ( value + vec4 ( 0.5 ) ) ) ;
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}
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` ):(e="",t="attribute",n="varying",r="varying",s="texture2D",a="gl_FragColor",o="",i= `
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# define isnan ( value ) isnan _custom ( value )
bool isnan _custom ( float val ) {
return ( val > 0. || val < 1. || val == 0. ) ? false : true ;
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}
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bvec4 isnan _custom ( vec4 val ) {
return bvec4 ( isnan ( val . x ) , isnan ( val . y ) , isnan ( val . z ) , isnan ( val . w ) ) ;
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}
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` ,l= `
uniform float INFINITY ;
bool isinf ( float val ) {
return abs ( val ) == INFINITY ;
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}
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bvec4 isinf ( vec4 val ) {
return equal ( abs ( val ) , vec4 ( INFINITY ) ) ;
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}
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` ,u= `
int round ( float value ) {
return int ( floor ( value + 0.5 ) ) ;
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}
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ivec4 round ( vec4 value ) {
return ivec4 ( floor ( value + vec4 ( 0.5 ) ) ) ;
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}
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` ),{version:e,attribute:t,varyingVs:n,varyingFs:r,texture2D:s,output:a,defineOutput:o,defineSpecialNaN:i,defineSpecialInf:l,defineRound:u}}function Ai(e,t,n="index"){let r=k.computeStrides(t);return r.map((s,a)=>{let o= ` int $ { e [ a ] } = $ { n } / $ { s } ` ,i=a===r.length-1? ` int $ { e [ a + 1 ] } = $ { n } - $ { e [ a ] } * $ { s } ` : ` index -= $ { e [ a ] } * $ { s } ` ;return ` $ { o } ; $ { i } ; ` }).join("")}function X5(e){let t=k.computeStrides(e).map(n=>n.toString());return `
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int getFlatIndex ( ivec3 coords ) {
return coords . x * $ { t [ 0 ] } + coords . y * $ { t [ 1 ] } + coords . z ;
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}
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` }var wC= `
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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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}
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` ,zde=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=sh.DENSE;let t=oh(e),n=Wn();this.outputShape=e,this.userCode= `
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ivec3 outCoordsFromFlatIndex ( int index ) {
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$ { Ai ( [ "r" , "c" , "d" ] , e ) }
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return ivec3 ( r , c , d ) ;
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}
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void main ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = 4 * ( resTexRC . x * $ { t [ 1 ] } + resTexRC . y ) ;
vec4 result = vec4 ( 0. ) ;
for ( int i = 0 ; i < 4 ; i ++ ) {
int flatIndex = index + i ;
ivec3 rc = outCoordsFromFlatIndex ( flatIndex ) ;
result [ i ] = getA ( rc . x , rc . y , rc . z ) ;
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}
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$ { n . output } = result ;
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}
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` }},Lde=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=sh.DENSE;let t=oh(e),n=Wn();this.outputShape=e,this.userCode= `
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ivec3 outCoordsFromFlatIndex ( int index ) {
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$ { Ai ( [ "r" , "c" , "d" ] , e ) }
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return ivec3 ( r , c , d ) ;
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}
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void main ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = 4 * ( resTexRC . x * $ { t [ 1 ] } + resTexRC . y ) ;
vec4 result = vec4 ( 0. ) ;
for ( int i = 0 ; i < 4 ; i ++ ) {
int flatIndex = index + i ;
ivec3 rc = outCoordsFromFlatIndex ( flatIndex ) ;
result [ i ] = getChannel ( getA ( rc . x , rc . y , rc . z ) , vec2 ( rc . y , rc . z ) ) ;
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}
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$ { n . output } = result ;
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}
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` }},Bde=class{constructor(e){this.variableNames=["A"],this.outTexUsage=zr.DOWNLOAD;let t=Wn();this.outputShape=e,this.userCode= `
$ { wC }
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void main ( ) {
float x = getAAtOutCoords ( ) ;
$ { t . output } = encode _float ( x ) ;
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}
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` }},Wde=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=zr.DOWNLOAD;let t=Wn();this.outputShape=e,this.userCode= `
$ { wC }
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
float x = getChannel ( getAAtOutCoords ( ) , vec2 ( coords . y , coords . z ) ) ;
$ { t . output } = encode _float ( x ) ;
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}
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` }},Vde=class{constructor(e,t,n=!1){this.variableNames=["A"];let r=Wn(),[s,a]=t;this.outputShape=e;let o="result";n&&(o="floor(result * 255. + 0.5)"),this.userCode= `
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$ { X5 ( 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 / $ { a } ;
int c = imod ( flatIndex , $ { a } ) ;
vec2 uv = ( vec2 ( c , r ) + halfCR ) / vec2 ( $ { a } . 0 , $ { s } . 0 ) ;
vec4 values = $ { r . 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 ] ;
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} else {
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result = values [ 3 ] ;
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}
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$ { r . output } = vec4 ( $ { o } , 0. , 0. , 0. ) ;
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}
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` }},Ude=class{constructor(e,t,n=!1){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let r=Wn(),[s,a]=t;this.outputShape=e;let o="",i="result";n&&(i="floor(result * 255. + 0.5)");for(let l=0;l<=1;l++)for(let u=0;u<=1;u++){let c=l*2+u;o+= `
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localCoords = coords ;
if ( localCoords [ 2 ] + $ { u } < $ { e [ 2 ] } ) {
localCoords [ 2 ] += $ { u } ;
if ( localCoords [ 1 ] + $ { l } < $ { e [ 1 ] } ) {
localCoords [ 1 ] += $ { l } ;
flatIndex = getFlatIndex ( localCoords ) ;
offset = imod ( flatIndex , 4 ) ;
flatIndex = idiv ( flatIndex , 4 , 1. ) ;
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r = flatIndex / $ { a } ;
c = imod ( flatIndex , $ { a } ) ;
uv = ( vec2 ( c , r ) + halfCR ) / vec2 ( $ { a } . 0 , $ { s } . 0 ) ;
values = $ { r . texture2D } ( A , uv ) ;
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if ( offset == 0 ) {
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result [ $ { c } ] = values [ 0 ] ;
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} else if ( offset == 1 ) {
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result [ $ { c } ] = values [ 1 ] ;
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} else if ( offset == 2 ) {
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result [ $ { c } ] = values [ 2 ] ;
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} else {
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result [ $ { c } ] = values [ 3 ] ;
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}
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}
}
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` }this.userCode= `
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$ { X5 ( 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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$ { o }
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$ { r . output } = $ { i } ;
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}
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` }},kC={};De(kC,{bindVertexProgramAttributeStreams:()=>RC,createBufferFromOutputTexture:()=>MC,createFloat16MatrixTexture:()=>CC,createFloat16PackedMatrixTexture:()=>_C,createFloat32MatrixTexture:()=>NC,createIndexBuffer:()=>TC,createPackedMatrixTexture:()=> $ C,createUnsignedBytesMatrixTexture:()=>EC,createVertexBuffer:()=>SC,createVertexShader:()=>IC,downloadByteEncodedFloatMatrixFromOutputTexture:()=>PC,downloadFloat32MatrixFromBuffer:()=>OC,downloadMatrixFromPackedOutputTexture:()=>LC,downloadPackedMatrixFromBuffer:()=>zC,getInternalFormatForFloat16MatrixTexture:()=>Y5,getInternalFormatForFloat16PackedMatrixTexture:()=>eb,getInternalFormatForFloat32MatrixTexture:()=>Z5,getInternalFormatForPackedMatrixTexture:()=>Q5,getInternalFormatForUnsignedBytesMatrixTexture:()=>J5,uploadDenseMatrixToTexture:()=>DC,uploadPixelDataToTexture:()=>FC});function IC(e){let t=Wn(),n= ` $ { t . version }
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precision highp float ;
$ { t . attribute } vec3 clipSpacePos ;
$ { t . attribute } vec2 uv ;
$ { t . varyingVs } vec2 resultUV ;
void main ( ) {
gl _Position = vec4 ( clipSpacePos , 1 ) ;
resultUV = uv ;
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} ` ;return eC(e,n)}function SC(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 sC(e,t)}function TC(e){let t=new Uint16Array([0,1,2,2,1,3]);return aC(e,t)}function ch(e,t,n,r,s,a){iC(t,n);let o=oC(e),i=e.TEXTURE_2D;return Ie(e,()=>e.bindTexture(i,o)),Ie(e,()=>e.texParameteri(i,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)),Ie(e,()=>e.texParameteri(i,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)),Ie(e,()=>e.texParameteri(i,e.TEXTURE_MIN_FILTER,e.NEAREST)),Ie(e,()=>e.texParameteri(i,e.TEXTURE_MAG_FILTER,e.NEAREST)),Ie(e,()=>e.texImage2D(i,0,r,t,n,0,s,a,null)),Ie(e,()=>e.bindTexture(e.TEXTURE_2D,null)),o}function Z5(e){return e.internalFormatFloat}function NC(e,t,n,r){let[s,a]=ah(t,n);return ch(e,s,a,Z5(r),r.textureFormatFloat,e.FLOAT)}function Y5(e){return e.internalFormatHalfFloat}function CC(e,t,n,r){let[s,a]=ah(t,n);return ch(e,s,a,Y5(r),r.textureFormatFloat,r.textureTypeHalfFloat)}function J5(e){return e.downloadTextureFormat}function EC(e,t,n,r){let[s,a]=ah(t,n);return ch(e,s,a,J5(r),e.RGBA,e.UNSIGNED_BYTE)}function Q5(e){return e.internalFormatPackedFloat}function $ C(e,t,n,r){let[s,a]=fu(t,n);return ch(e,s,a,Q5(r),e.RGBA,e.FLOAT)}function eb(e){return e.internalFormatPackedHalfFloat}function _C(e,t,n,r){let[s,a]=fu(t,n);return ch(e,s,a,eb(r),e.RGBA,r.textureTypeHalfFloat)}function RC(e,t,n){let r=0,s=3*4,a=3*4+2*4;return Ie(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),G5(e,t,"clipSpacePos",n,3,a,r)&&G5(e,t,"uv",n,2,a,s)}function DC(e,t,n,r,s,a){Ie(e,()=>e.bindTexture(e.TEXTURE_2D,t));let o,i,l;s instanceof Uint8Array?(o=new Uint8Array(n*r*4),i=e.UNSIGNED_BYTE,l=e.RGBA):(o=new Float32Array(n*r*4),i=e.FLOAT,l=a.internalFormatPackedFloat),o.set(s),Ie(e,()=>e.texImage2D(e.TEXTURE_2D,0,l,n,r,0,e.RGBA,i,o)),Ie(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function FC(e,t,n){Ie(e,()=>e.bindTexture(e.TEXTURE_2D,t)),n.data instanceof Uint8Array?Ie(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)):Ie(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)),Ie(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function MC(e,t,n,r){let s=e.createBuffer();Ie(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,s));let i=4*4*t*n;return Ie(e,()=>e.bufferData(e.PIXEL_PACK_BUFFER,i,e.STREAM_READ)),Ie(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)),Ie(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null)),s}function OC(e,t,n){let r=e,s=new Float32Array(n);return r.bindBuffer(r.PIXEL_PACK_BUFFER,t),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,s),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),s}function PC(e,t,n,r){let[s,a]=ah(t,n),o=4,i=new Uint8Array(Sde(t*n,o));return Ie(e,()=>e.readPixels(0,0,s,a,r.downloadTextureFormat,e.UNSIGNED_BYTE,i)),new Float32Array(i.buffer)}function zC(e,t,n,r,s,a,o,i){let l=e,u=new Float32Array(Tde(a,o));return l.bindBuffer(l.PIXEL_PACK_BUFFER,t),l.getBufferSubData(l.PIXEL_PACK_BUFFER,0,u),l.bindBuffer(l.PIXEL_PACK_BUFFER,null),u}function LC(e,t,n){let r=new Float32Array(t*n*4);return Ie(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,r)),r}var Bm=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let t=ae().getNumber("WEBGL_VERSION");e!=null?(this.gl=e,Dm(t,e)):this.gl=Ls(t);let n="WEBGL_color_buffer_float",r="EXT_color_buffer_half_float";if(ae().getNumber("WEBGL_VERSION")===1){let s="OES_texture_float",a="OES_texture_half_float";if(this.textureFloatExtension=ih(this.gl,s),Lr(this.gl,a))this.textureHalfFloatExtension=ih(this.gl,a);else if(ae().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),Lr(this.gl,r))this.colorBufferHalfFloatExtension=ih(this.gl,r);else if(ae().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",Lr(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(Lr(this.gl,r)
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` ),o=e.map(f=>jde(f,t,r)).join( `
` ),i=t.texShape,l=Wn(),u=Xde(l),c,d,h=Jde(l);return t.isPacked?(c=qde(t.logicalShape,i),d=Yde(l)):(c=Kde(t.logicalShape,i),d=Zde(l)),r&&(h+=nhe),[h,u,d,a,c,o,n].join( `
` )}function gu(e){let t=e.shapeInfo.logicalShape;switch(t.length){case 0:return fhe(e);case 1:return ghe(e);case 2:return Ahe(e);case 3:return bhe(e);case 4:return whe(e);case 5:return khe(e);case 6:return Ihe(e);default:throw new Error( ` $ { t . length } - D input sampling is not yet supported ` )}}function WC(e){switch(e.shapeInfo.logicalShape.length){case 0:return phe(e);case 1:return mhe(e);case 2:return yhe(e);case 3:return xhe(e);default:return vhe(e)}}function jde(e,t,n=!1){let r="";n?r+=WC(e):r+=gu(e);let s=e.shapeInfo.logicalShape,a=t.logicalShape;return s.length<=a.length&&(n?r+=She(e,t):r+=The(e,t)),r}function qde(e,t){switch(e.length){case 0:return VC();case 1:return rhe(e,t);case 2:return dhe(e,t);case 3:return ahe(e,t);default:return ihe(e,t)}}function Kde(e,t){switch(e.length){case 0:return VC();case 1:return she(e,t);case 2:return hhe(e,t);case 3:return ohe(e,t);case 4:return lhe(e,t);case 5:return uhe(e,t);case 6:return che(e,t);default:throw new Error( ` $ { e . length } - D output sampling is not yet supported ` )}}function Xde(e){return `
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float sampleTexture ( sampler2D textureSampler , vec2 uv ) {
return $ { e . texture2D } ( textureSampler , uv ) . r ;
}
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` }function Zde(e){return `
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void setOutput ( float val ) {
$ { e . output } = vec4 ( val , 0 , 0 , 0 ) ;
}
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` }function Yde(e){return `
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void setOutput ( vec4 val ) {
$ { e . output } = val ;
}
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` }function Jde(e){return ` $ { e . version }
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precision highp float ;
precision highp int ;
precision highp sampler2D ;
$ { e . varyingFs } vec2 resultUV ;
$ { e . defineOutput }
const vec2 halfCR = vec2 ( 0.5 , 0.5 ) ;
struct ivec5
{
int x ;
int y ;
int z ;
int w ;
int u ;
} ;
struct ivec6
{
int x ;
int y ;
int z ;
int w ;
int u ;
int v ;
} ;
uniform float NAN ;
$ { e . defineSpecialNaN }
$ { e . defineSpecialInf }
$ { e . defineRound }
int imod ( int x , int y ) {
return x - y * ( x / y ) ;
}
int idiv ( int a , int b , float sign ) {
int res = a / b ;
int mod = imod ( a , b ) ;
if ( sign < 0. && mod != 0 ) {
res -= 1 ;
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}
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return res ;
}
//Based on the work of Dave Hoskins
//https://www.shadertoy.com/view/4djSRW
# define HASHSCALE1 443.8975
float random ( float seed ) {
vec2 p = resultUV * seed ;
vec3 p3 = fract ( vec3 ( p . xyx ) * HASHSCALE1 ) ;
p3 += dot ( p3 , p3 . yzx + 19.19 ) ;
return fract ( ( p3 . x + p3 . y ) * p3 . z ) ;
}
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$ { Qde }
$ { ehe }
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$ { the }
` }var Qde= `
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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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` ,ehe= `
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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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` ,the= `
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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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` ,nhe= `
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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 ) ;
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}
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float getChannel ( vec4 frag , int dim ) {
float modCoord = mod ( float ( dim ) , 2. ) ;
return modCoord == 0. ? frag . r : frag . g ;
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}
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` ;function VC(){return `
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int getOutputCoords ( ) {
return 0 ;
}
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` }function rhe(e,t){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return n[0]===1? `
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int getOutputCoords ( ) {
return 2 * int ( resultUV . x * $ { n [ 1 ] } . 0 ) ;
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}
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` :n[1]===1? `
int getOutputCoords ( ) {
return 2 * int ( resultUV . y * $ { n [ 0 ] } . 0 ) ;
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}
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` : `
int getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
return 2 * ( resTexRC . x * $ { n [ 1 ] } + resTexRC . y ) ;
}
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` }function she(e,t){return t[0]===1? `
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int getOutputCoords ( ) {
return int ( resultUV . x * $ { t [ 1 ] } . 0 ) ;
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}
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` :t[1]===1? `
int getOutputCoords ( ) {
return int ( resultUV . y * $ { t [ 0 ] } . 0 ) ;
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}
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` : `
int getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
return resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
}
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` }function ahe(e,t){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[2]/2),s=r*Math.ceil(e[1]/2);return `
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ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
int index = resTexRC . x * $ { n [ 1 ] } + resTexRC . y ;
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int b = index / $ { s } ;
index -= b * $ { s } ;
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int r = 2 * ( index / $ { r } ) ;
int c = imod ( index , $ { r } ) * 2 ;
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return ivec3 ( b , r , c ) ;
}
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` }function ohe(e,t){let n=Ai(["r","c","d"],e);return `
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ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { n }
return ivec3 ( r , c , d ) ;
}
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` }function ihe(e,t){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[e.length-1]/2),s=r*Math.ceil(e[e.length-2]/2),a=s,o="",i="b, r, c";for(let l=2;l<e.length-1;l++)a*=e[e.length-l-1],o= `
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int b$ { l } = index / $ { a } ;
index -= b$ { l } * $ { a } ;
` +o,i= ` b$ { l } , ` +i;return `
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ivec$ { e . length } getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
int index = resTexRC . x * $ { n [ 1 ] } + resTexRC . y ;
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$ { o }
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int b = index / $ { s } ;
index -= b * $ { s } ;
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int r = 2 * ( index / $ { r } ) ;
int c = imod ( index , $ { r } ) * 2 ;
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return ivec$ { e . length } ( $ { i } ) ;
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}
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` }function lhe(e,t){let n=Ai(["r","c","d","d2"],e);return `
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ivec4 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { n }
return ivec4 ( r , c , d , d2 ) ;
}
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` }function uhe(e,t){let n=Ai(["r","c","d","d2","d3"],e);return `
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ivec5 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx * vec2 ( $ { t [ 0 ] } ,
$ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { n }
ivec5 outShape = ivec5 ( r , c , d , d2 , d3 ) ;
return outShape ;
}
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` }function che(e,t){let n=Ai(["r","c","d","d2","d3","d4"],e);return `
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ivec6 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { n }
ivec6 result = ivec6 ( r , c , d , d2 , d3 , d4 ) ;
return result ;
}
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` }function dhe(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 ( ) {
return 2 * ivec2 ( resultUV . yx * vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
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}
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` ;let r=Math.ceil(e[1]/2);return `
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ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
int index = resTexRC . x * $ { n [ 1 ] } + resTexRC . y ;
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int r = 2 * ( index / $ { r } ) ;
int c = imod ( index , $ { r } ) * 2 ;
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return ivec2 ( r , c ) ;
}
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` }function hhe(e,t){return k.arraysEqual(e,t)? `
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ivec2 getOutputCoords ( ) {
return ivec2 ( resultUV . yx * vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
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}
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` :e[1]===1? `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
return ivec2 ( index , 0 ) ;
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}
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` :e[0]===1? `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
return ivec2 ( 0 , index ) ;
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}
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` : `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
int r = index / $ { e [ 1 ] } ;
int c = index - r * $ { e [ 1 ] } ;
return ivec2 ( r , c ) ;
}
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` }function xi(e){return ` offset$ { e } ` }function phe(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),r=Wn();return `
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vec4 $ { n } ( ) {
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return $ { r . texture2D } ( $ { t } , halfCR ) ;
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}
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` }function fhe(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);if(e.shapeInfo.isUniform)return ` float $ { n } ( ) { return $ { t } ; } ` ;let[r,s]=e.shapeInfo.texShape;if(r===1&&s===1)return `
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float $ { n } ( ) {
return sampleTexture ( $ { t } , halfCR ) ;
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}
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` ;let[a,o]=e.shapeInfo.texShape,i=xi(t);return `
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float $ { n } ( ) {
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vec2 uv = uvFromFlat ( $ { a } , $ { o } , $ { i } ) ;
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return sampleTexture ( $ { t } , uv ) ;
}
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` }function mhe(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),r=e.shapeInfo.texShape,s=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],a=Wn();return `
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vec4 $ { n } ( int index ) {
vec2 uv = packedUVfrom1D (
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$ { s [ 0 ] } , $ { s [ 1 ] } , index ) ;
return $ { a . texture2D } ( $ { t } , uv ) ;
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}
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` }function ghe(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 ) {
$ { yu ( e ) }
}
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` ;let r=e.shapeInfo.texShape,s=r[0],a=r[1];if(a===1&&s===1)return `
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float $ { n } ( int index ) {
return sampleTexture ( $ { t } , halfCR ) ;
}
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` ;let o=xi(t);return a===1? `
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float $ { n } ( int index ) {
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vec2 uv = vec2 ( 0.5 , ( float ( index + $ { o } ) + 0.5 ) / $ { s } . 0 ) ;
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return sampleTexture ( $ { t } , uv ) ;
}
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` :s===1? `
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float $ { n } ( int index ) {
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vec2 uv = vec2 ( ( float ( index + $ { o } ) + 0.5 ) / $ { a } . 0 , 0.5 ) ;
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return sampleTexture ( $ { t } , uv ) ;
}
` : `
float $ { n } ( int index ) {
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vec2 uv = uvFromFlat ( $ { s } , $ { a } , index + $ { o } ) ;
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return sampleTexture ( $ { t } , uv ) ;
}
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` }function yhe(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),s=e.shapeInfo.texShape,a=s[0],o=s[1],i=Wn();if(s!=null&&k.arraysEqual(t,s))return `
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vec4 $ { r } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { o } . 0 , $ { a } . 0 ) ;
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return $ { i . texture2D } ( $ { n } , uv ) ;
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}
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` ;let l=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)],u=Math.ceil(t[1]/2);return `
vec4 $ { r } ( int row , int col ) {
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vec2 uv = packedUVfrom2D ( $ { u } , $ { l [ 0 ] } , $ { l [ 1 ] } , row , col ) ;
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return $ { i . texture2D } ( $ { n } , uv ) ;
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}
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` }function Ahe(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),s=e.shapeInfo.texShape;if(s!=null&&k.arraysEqual(t,s)){let d=s[0],h=s[1];return `
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float $ { r } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { h } . 0 , $ { d } . 0 ) ;
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return sampleTexture ( $ { n } , uv ) ;
}
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` }let{newShape:a,keptDims:o}=k.squeezeShape(t),i=a;if(i.length<t.length){let d=Au(e,i),h=["row","col"];return `
$ { gu ( d ) }
float $ { r } ( int row , int col ) {
return $ { r } ( $ { xu ( h , o ) } ) ;
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}
` }if(e.shapeInfo.isUniform)return `
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float $ { r } ( int row , int col ) {
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int index = round ( dot ( vec2 ( row , col ) , vec2 ( $ { t [ 1 ] } , 1 ) ) ) ;
$ { yu ( e ) }
}
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` ;let l=s[0],u=s[1],c=xi(n);return u===1? `
float $ { r } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { c } ) , vec3 ( $ { t [ 1 ] } , 1 , 1 ) ) ;
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vec2 uv = vec2 ( 0.5 , ( index + 0.5 ) / $ { l } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` :l===1? `
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float $ { r } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { c } ) , vec3 ( $ { t [ 1 ] } , 1 , 1 ) ) ;
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vec2 uv = vec2 ( ( index + 0.5 ) / $ { u } . 0 , 0.5 ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` : `
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float $ { r } ( 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 + $ { c } ;
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vec2 uv = uvFromFlat ( $ { l } , $ { u } , index ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` }function xhe(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),s=e.shapeInfo.texShape,a=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)];if(t[0]===1){let d=t.slice(1),h=[1,2],p=Au(e,d),f=["b","row","col"];return `
$ { WC ( p ) }
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vec4 $ { r } ( int b , int row , int col ) {
return $ { r } ( $ { xu ( f , h ) } ) ;
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}
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` }let o=a[0],i=a[1],l=Math.ceil(t[2]/2),u=l*Math.ceil(t[1]/2),c=Wn();return `
vec4 $ { r } ( int b , int row , int col ) {
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vec2 uv = packedUVfrom3D (
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$ { o } , $ { i } , $ { u } , $ { l } , b , row , col ) ;
return $ { c . texture2D } ( $ { n } , uv ) ;
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}
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` }function bhe(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),s=t[1]*t[2],a=t[2],{newShape:o,keptDims:i}=k.squeezeShape(t),l=o;if(l.length<t.length){let f=Au(e,l),m=["row","col","depth"];return `
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$ { gu ( f ) }
float $ { r } ( int row , int col , int depth ) {
return $ { r } ( $ { xu ( m , i ) } ) ;
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}
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` }if(e.shapeInfo.isUniform)return `
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float $ { r } ( int row , int col , int depth ) {
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int index = round ( dot ( vec3 ( row , col , depth ) ,
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vec3 ( $ { s } , $ { a } , 1 ) ) ) ;
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$ { yu ( e ) }
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}
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` ;let u=e.shapeInfo.texShape,c=u[0],d=u[1],h=e.shapeInfo.flatOffset;if(d===s&&h==null)return `
float $ { r } ( 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 ( $ { a } , 1 ) ) ;
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vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { d } . 0 , $ { c } . 0 ) ;
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return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(d===a&&h==null)return `
float $ { r } ( int row , int col , int depth ) {
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float texR = dot ( vec2 ( row , col ) , vec2 ( $ { t [ 1 ] } , 1 ) ) ;
float texC = float ( depth ) ;
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vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { d } . 0 , $ { c } . 0 ) ;
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return sampleTexture ( $ { n } , uv ) ;
}
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` ;let p=xi(n);return `
float $ { r } ( 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 * $ { s } + col * $ { a } + depth + $ { p } ;
vec2 uv = uvFromFlat ( $ { c } , $ { d } , index ) ;
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return sampleTexture ( $ { n } , uv ) ;
}
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` }function vhe(e){let t=e.shapeInfo.logicalShape,n=t.length,r=e.name,s="get"+r.charAt(0).toUpperCase()+r.slice(1),a=e.shapeInfo.texShape,o=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],i=o[0],l=o[1],u=Math.ceil(t[n-1]/2),c=u*Math.ceil(t[n-2]/2),d="int b, int row, int col",h= ` b * $ { c } + ( row / 2 ) * $ { u } + ( col / 2 ) ` ;for(let f=2;f<n-1;f++)d= ` int b$ { f } , ` +d,c*=t[n-f-1],h= ` b$ { f } * $ { c } + ` +h;let p=Wn();return `
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vec4 $ { s } ( $ { d } ) {
int index = $ { h } ;
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int texR = index / $ { l } ;
int texC = index - texR * $ { l } ;
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vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { l } , $ { i } ) ;
return $ { p . texture2D } ( $ { r } , uv ) ;
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}
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` }function whe(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),s=t[3],a=t[2]*s,o=t[1]*a,{newShape:i,keptDims:l}=k.squeezeShape(t);if(i.length<t.length){let f=Au(e,i),m=["row","col","depth","depth2"];return `
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$ { gu ( f ) }
float $ { r } ( int row , int col , int depth , int depth2 ) {
return $ { r } ( $ { xu ( m , l ) } ) ;
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}
` }if(e.shapeInfo.isUniform)return `
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float $ { r } ( 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 ( $ { o } , $ { a } , $ { s } , 1 ) ) ) ;
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$ { yu ( e ) }
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}
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` ;let u=e.shapeInfo.flatOffset,c=e.shapeInfo.texShape,d=c[0],h=c[1];if(h===o&&u==null)return `
float $ { r } ( 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 ( $ { a } , $ { s } , 1 ) ) ;
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vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { h } . 0 , $ { d } . 0 ) ;
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return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(h===s&&u==null)return `
float $ { r } ( int row , int col , int depth , int depth2 ) {
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float texR = dot ( vec3 ( row , col , depth ) ,
vec3 ( $ { t [ 1 ] * t [ 2 ] } , $ { t [ 2 ] } , 1 ) ) ;
float texC = float ( depth2 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { h } . 0 , $ { d } . 0 ) ;
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return sampleTexture ( $ { n } , uv ) ;
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}
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` ;let p=xi(n);return `
float $ { r } ( 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 * $ { o } + col * $ { a } +
depth * $ { s } + depth2 ;
vec2 uv = uvFromFlat ( $ { d } , $ { h } , index + $ { p } ) ;
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return sampleTexture ( $ { n } , uv ) ;
}
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` }function khe(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),s=t[4],a=t[3]*s,o=t[2]*a,i=t[1]*o,{newShape:l,keptDims:u}=k.squeezeShape(t);if(l.length<t.length){let m=Au(e,l),g=["row","col","depth","depth2","depth3"];return `
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$ { gu ( m ) }
float $ { r } ( int row , int col , int depth , int depth2 , int depth3 ) {
return $ { r } ( $ { xu ( g , u ) } ) ;
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}
` }if(e.shapeInfo.isUniform)return `
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float $ { r } ( 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 ( $ { i } , $ { o } , $ { a } , $ { s } ) ) +
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depth3 ;
$ { yu ( e ) }
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}
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` ;let c=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,h=d[0],p=d[1];if(p===i&&c==null)return `
float $ { r } ( 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 ( $ { o } , $ { a } , $ { s } , 1 ) ) ;
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vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { p } . 0 , $ { h } . 0 ) ;
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return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(p===s&&c==null)return `
float $ { r } ( int row , int col , int depth , int depth2 , int depth3 ) {
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float texR = dot (
vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { t [ 1 ] * t [ 2 ] * t [ 3 ] } ,
$ { t [ 2 ] * t [ 3 ] } , $ { t [ 3 ] } , 1 ) ) ;
int texC = depth3 ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { p } . 0 , $ { h } . 0 ) ;
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return sampleTexture ( $ { n } , uv ) ;
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}
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` ;let f=xi(n);return `
float $ { r } ( 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 * $ { i } + col * $ { o } + depth * $ { a } +
depth2 * $ { s } + depth3 + $ { f } ;
vec2 uv = uvFromFlat ( $ { h } , $ { p } , index ) ;
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return sampleTexture ( $ { n } , uv ) ;
}
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` }function Ihe(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),{newShape:s,keptDims:a}=k.squeezeShape(t);if(s.length<t.length){let g=Au(e,s),y=["row","col","depth","depth2","depth3","depth4"];return `
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$ { gu ( g ) }
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float $ { r } ( int row , int col , int depth ,
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int depth2 , int depth3 , int depth4 ) {
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return $ { r } ( $ { xu ( y , a ) } ) ;
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}
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` }let o=t[5],i=t[4]*o,l=t[3]*i,u=t[2]*l,c=t[1]*u;if(e.shapeInfo.isUniform)return `
float $ { r } ( int row , int col , int depth ,
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int depth2 , int depth3 , int depth4 ) {
int index = round ( dot (
vec4 ( row , col , depth , depth2 ) ,
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vec4 ( $ { c } , $ { u } , $ { l } , $ { i } ) ) +
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dot (
vec2 ( depth3 , depth4 ) ,
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vec2 ( $ { o } , 1 ) ) ) ;
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$ { yu ( e ) }
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}
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` ;let d=e.shapeInfo.flatOffset,h=e.shapeInfo.texShape,p=h[0],f=h[1];if(f===c&&d==null)return `
float $ { r } ( int row , int col , int depth ,
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int depth2 , int depth3 , int depth4 ) {
int texR = row ;
float texC = dot ( vec4 ( col , depth , depth2 , depth3 ) ,
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vec4 ( $ { u } , $ { l } , $ { i } , $ { o } ) ) +
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float ( depth4 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { f } . 0 , $ { p } . 0 ) ;
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return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(f===o&&d==null)return `
float $ { r } ( int row , int col , int depth ,
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int depth2 , int depth3 , int depth4 ) {
float texR = dot ( vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { t [ 1 ] * t [ 2 ] * t [ 3 ] * t [ 4 ] } ,
$ { t [ 2 ] * t [ 3 ] * t [ 4 ] } ,
$ { t [ 3 ] * t [ 4 ] } ,
$ { t [ 4 ] } ) ) + float ( depth3 ) ;
int texC = depth4 ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { f } . 0 , $ { p } . 0 ) ;
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return sampleTexture ( $ { n } , uv ) ;
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}
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` ;let m=xi(n);return `
float $ { r } ( int row , int col , int depth ,
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int depth2 , int depth3 , int depth4 ) {
// Explicitly use integer operations as dot() only works on floats.
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int index = row * $ { c } + col * $ { u } + depth * $ { l } +
depth2 * $ { i } + depth3 * $ { o } + depth4 + $ { m } ;
vec2 uv = uvFromFlat ( $ { p } , $ { f } , index ) ;
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return sampleTexture ( $ { n } , uv ) ;
}
` }function yu(e){let t=e.name,n=k.sizeFromShape(e.shapeInfo.logicalShape);return n<2? ` return $ { t } ; ` : `
for ( int i = 0 ; i < $ { n } ; i ++ ) {
if ( i == index ) {
return $ { t } [ i ] ;
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}
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}
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` }function She(e,t){let n=e.name,r=n.charAt(0).toUpperCase()+n.slice(1),s="get"+r+"AtOutCoords",a=e.shapeInfo.logicalShape.length,o=t.logicalShape.length,i=BC(e.shapeInfo.logicalShape,t.logicalShape),l=It(o),u=o-a,c,d=["x","y","z","w","u","v"];a===0?c="":o<2&&i.length>=1?c="coords = 0;":c=i.map(A=> ` coords . $ { d [ A + u ] } = 0 ; ` ).join( `
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` );let h="";o<2&&a>0?h="coords":h=e.shapeInfo.logicalShape.map((A,x)=> ` coords . $ { d [ x + u ] } ` ).join(", ");let p="return outputValue;",m=k.sizeFromShape(e.shapeInfo.logicalShape)===1,y=k.sizeFromShape(t.logicalShape)===1;if(a===1&&!m&&!y)p= `
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return vec4 ( outputValue . xy , outputValue . xy ) ;
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` ;else if(m&&!y)o===1?p= `
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return vec4 ( outputValue . x , outputValue . x , 0. , 0. ) ;
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` :p= `
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return vec4 ( outputValue . x ) ;
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` ;else if(i.length){let A=a-2,x=a-1;i.indexOf(A)>-1&&i.indexOf(x)>-1?p="return vec4(outputValue.x);":i.indexOf(A)>-1?p="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":i.indexOf(x)>-1&&(p="return vec4(outputValue.xx, outputValue.zz);")}return `
vec4 $ { s } ( ) {
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$ { l } coords = getOutputCoords ( ) ;
$ { c }
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vec4 outputValue = get$ { r } ( $ { h } ) ;
$ { p }
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}
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` }function The(e,t){let n=e.name,r=n.charAt(0).toUpperCase()+n.slice(1),s="get"+r+"AtOutCoords",a=t.texShape,o=e.shapeInfo.texShape,i=e.shapeInfo.logicalShape.length,l=t.logicalShape.length;if(!e.shapeInfo.isUniform&&i===l&&e.shapeInfo.flatOffset==null&&k.arraysEqual(o,a))return `
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float $ { s } ( ) {
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return sampleTexture ( $ { n } , resultUV ) ;
}
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` ;let u=It(l),c=BC(e.shapeInfo.logicalShape,t.logicalShape),d=l-i,h,p=["x","y","z","w","u","v"];i===0?h="":l<2&&c.length>=1?h="coords = 0;":h=c.map(m=> ` coords . $ { p [ m + d ] } = 0 ; ` ).join( `
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` );let f="";return l<2&&i>0?f="coords":f=e.shapeInfo.logicalShape.map((m,g)=> ` coords . $ { p [ g + d ] } ` ).join(", "), `
float $ { s } ( ) {
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$ { u } coords = getOutputCoords ( ) ;
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$ { h }
return get$ { r } ( $ { f } ) ;
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}
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` }function It(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 Au(e,t){let n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function xu(e,t){return t.map(n=>e[n]).join(", ")}function Nhe(e,t,n,r){let s=t.userCode,a=n.map((p,f)=>{let m={logicalShape:p.shape,texShape:p.isUniform?null:p.texData.texShape,isUniform:p.isUniform,isPacked:p.isUniform?!1:p.texData.isPacked,flatOffset:null};return p.texData!=null&&p.texData.slice!=null&&p.texData.slice.flatOffset>0&&(m.flatOffset=p.texData.slice.flatOffset),{name:t.variableNames[f],shapeInfo:m}}),o=a.map(p=>p.shapeInfo),i={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},l=Gde(a,i,s,t.packedInputs),u=e.createProgram(l),c=null,d=e.getUniformLocation(u,"NAN",!1);ae().getNumber("WEBGL_VERSION")===1&&(c=e.getUniformLocation(u,"INFINITY",!1));let h={};for(let p=0;p<t.variableNames.length;p++){let f=t.variableNames[p],m=!1;h[f]=e.getUniformLocation(u,f,m),h[ ` offset$ { f } ` ]=e.getUniformLocation(u, ` offset$ { f } ` ,m)}return{program:t,source:l,webGLProgram:u,uniformLocations:h,inShapeInfos:o,outShapeInfo:i,infLoc:c,nanLoc:d}}function UC(e,t){if(e.length!==t.length)throw Error( ` Binary was compiled with $ { e . length } inputs , but was executed with $ { t . length } inputs ` );e.forEach((n,r)=>{let s=n.logicalShape,a=t[r],o=a.shape;if(!k.arraysEqual(s,o))throw Error( ` Binary was compiled with different shapes than the current args . Shapes $ { s } and $ { o } must match ` );if(n.isUniform&&a.isUniform)return;let i=n.texShape,l=a.isUniform?null:a.texData.texShape;if(!k.arraysEqual(i,l))throw Error( ` Binary was compiled with different texture shapes than the current args . Shape $ { i } and $ { l } must match ` )})}function Che(e,t,n,r,s){UC(t.inShapeInfos,n),UC([t.outShapeInfo],[r]);let a=r.texData.texture,o=r.texData.texShape;r.texData.isPacked?e.setOutputPackedMatrixTexture(a,o[0],o[1]):e.setOutputMatrixTexture(a,o[0],o[1]),e.setProgram(t.webGLProgram),ae().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&e.gl.uniform1f(t.infLoc,Infinity),t.nanLoc!==null&&e.gl.uniform1f(t.nanLoc,NaN),n.forEach((i,l)=>{let u=t.program.variableNames[l],c=t.uniformLocations[u],d=t.uniformLocations[ ` offset$ { u } ` ];if(c!=null){if(i.isUniform){if(k.sizeFromShape(i.shape)<2)e.gl.uniform1f(c,i.uniformValues[0]);else{let h=i.uniformValues;h instanceof Float32Array||(h=new Float32Array(h)),e.gl.uniform1fv(c,h)}return}i.texData.slice!=null&&d!=null&&e.gl.uniform1i(d,i.texData.slice.flatOffset),e.setInputMatrixTexture(i.texData.texture,c,l)}}),s!=null&&s(e,t.webGLProgram),e.executeProgram()}function Ehe(e,t,n){let r="";t.concat(n).forEach(o=>{let i=o.texData!=null&&o.texData.slice!=null&&o.texData.slice.flatOffset>0,l=o.isUniform?"uniform":o.texData.texShape;r+= ` $ { o . shape } _$ { l } _$ { i } ` });let s=e.userCode,a=e.constructor.name;return a+="_"+r+"_"+s,a}var HC={};De(HC,{addImpl:()=>qC,bincountImpl:()=>Dhe,bincountReduceImpl:()=>Fhe,ceilImpl:()=>KC,concatImpl:()=>XC,equalImpl:()=>ZC,expImpl:()=>YC,expm1Impl:()=>JC,floorImpl:()=>QC,gatherNdImpl:()=>Mhe,gatherV2Impl:()=>Ohe,greaterEqualImpl:()=>tE,greaterImpl:()=>eE,lessEqualImpl:()=>rE,lessImpl:()=>nE,linSpaceImpl:()=>Phe,logImpl:()=>sE,maxImpl:()=>zhe,maximumImpl:()=>aE,minimumImpl:()=>oE,multiplyImpl:()=>sb,negImpl:()=>Bhe,notEqualImpl:()=>iE,prodImpl:()=>Vhe,rangeImpl:()=>lE,rsqrtImpl:()=>uE,simpleAbsImpl:()=> $ he,sliceImpl:()=>ab,sparseFillEmptyRowsImpl:()=>Uhe,sparseReshapeImpl:()=>Hhe,sparseSegmentReductionImpl:()=>Ghe,squaredDifferenceImpl:()=>cE,stridedSliceImpl:()=>jhe,stringNGramsImpl:()=>Khe,stringSplitImpl:()=>Zhe,stringToHashBucketFastImpl:()=>Yhe,subImpl:()=>dE,tileImpl:()=>Qhe,topKImpl:()=>epe,transposeImpl:()=>Whe,uniqueImpl:()=>tpe});function GC(e,t){Array.isArray(e)||(e=[e]),e.forEach(n=>{n!=null&&k.assert(n.dtype!=="complex64",()=> ` $ { t } does not support complex64 tensors in the CPU backend . ` )})}function $ he(e){let t=new Float32Array(e.length);for(let n=0;n<e.length;++n)t[
indices . shape [ 0 ] = $ { i } ` );let g=k.getArrayFromDType(n,0),y=k.getArrayFromDType(s,0);return[g,[0,d],y,u,c]}let h=!0,p=0,f=new Array(l).fill(0);for(let g=0;g<i;++g){let y=e[g*d];if(y<0)throw new Error( ` indices ( $ { g } , 0 ) is invalid : $ { y } < 0 ` );if(y>=l)throw new Error( ` indices ( $ { g } , 0 ) is invalid : $ { y } >= $ { l } ` );++f[y],h=h&&y>=p,p=y}let m=!0;for(let g=0;g<l;++g){let y=f[g]===0;u[g]=y,m=m&&!y,f[g]=Math.max(f[g],1),g>0&&(f[g]+=f[g-1])}if(m&&h){let g=e,y=r;for(let A=0;A<i;++A)c[A]=A;return[g,[i,d],y,u,c]}else{let g=f[l-1],y=k.getArrayFromDType(n,g*d),A=k.getArrayFromDType(s,g),x=new Array(l).fill(0);for(let b=0;b<i;++b){let v=e[b*d],w=x[v],S=(v===0?0:f[v-1])+w;x[v]++;for(let I=0;I<d;++I)y[S*d+I]=e[b*d+I];A[S]=r[b],c[b]=S}for(let b=0;b<l;++b)if(x[b]===0){let w=b===0?0:f[b-1];y[w*d+0]=b;for(let S=1;S<d;++S)y[w*d+S]=0;A[w]=o}return[y,[g,d],A,u,c]}}function Hhe(e,t,n,r,s){let a=k.sizeFromShape(r),o=t[0],i=s.length,l=[],u=1,c=-1;for(let g=0;g<i;++g){let y=s[g];if(y===-1){if(c!==-1)throw new Error( ` only one output dimension may be - 1 , not both $ { c } and $ { g } ` );c=g,l.push(1)}else{if(y<0)throw new Error( ` size $ { g } must be non - negative , not $ { y } ` );u*=y,l.push(y)}}if(c!==-1){if(u<=0)throw new Error("reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero");let g=Math.trunc(a/u);if(u*g!==a)throw new Error( ` Input to reshape is a SparseTensor with $ { a }
dense values , but the requested shape requires a multiple of $ { u } . inputShape = $ { r } outputShape = $ { l } ` );l[c]=g}let d=k.sizeFromShape(l);if(d!==a)throw new Error( ` Input to reshape is a tensor with $ { a } dense values , but the requested shape has $ { d } . inputShape = $ { r } outputShape = $ { l } ` );let h=r.length,p=[];if(h>0){p[h-1]=1;for(let g=h-2;g>=0;--g)p[g]=p[g+1]*r[g+1]}let f=[];if(i>0){f[i-1]=1;for(let g=i-2;g>=0;--g)f[g]=f[g+1]*l[g+1]}let m=k.getArrayFromDType(n,o*i);for(let g=0;g<o;++g){let y=0;for(let A=0;A<h;++A)y+=e[g*h+A]*p[A];for(let A=0;A<i;++A)m[g*i+A]=Math.trunc(y/f[A]),y%=f[A]}return[m,[o,i],l]}function Ghe(e,t,n,r,s,a=!1,o=0){let i=r.length;if(i!==s.length)throw new Error("segmentIds and indices should have same size.");let l=[t[0],e.length/t[0]],u=l[1],d=i>0?s[i-1]+1:0;if(d<0)throw new Error("segment ids must be >= 0");let h=t.slice();h[0]=d;let p=h.reduce((x,b)=>x*b,1),f=k.getArrayFromDType(n,p);if(i===0)return d>0&&f.fill(o),[f,h];if(d<=0)throw new Error("segment ids must be >= 0");let m=0,g=1,y=0,A=s[m];for(;;){let x=0;if(g<i){if(x=s[g],A===x){++g;continue}if(A>=x)throw new Error("segment ids are not increasing")}if(A<0||A>=d)throw new Error( ` Segment id $ { A } out of range [ 0 , $ { d } ) , possibly because segmentIds input is not sorted . ` );A>y&&f.fill(o,y*u,A*u);for(let b=m;b<g;++b){let v=r[b];if(v<0||v>=l[0])throw new Error( ` Bad : indices [ $ { b } ] == $ { r [ b ] } out of range [ 0 , $ { l [ 0 ] } ) ` );for(let w=0;w<u;w++)f[A*u+w]+=e[v*u+w]}if(a)for(let b=0;b<u;b++)f[A*u+b]/=g-m;if(m=g,++g,y=A+1,A=x,g>i)break}return y<d&&f.fill(o,y*u,d*u),[f,h]}var cE=Br((e,t)=>{let n=e-t;return n*n}),a7e=Jr(Po,cE);function jhe(e,t,n,r){let s=Le(e,t.dtype);for(let a=0;a<s.size;a++){let o=s.indexToLoc(a),i=new Array(o.length);for(let l=0;l<i.length;l++)i[l]=o[l]*n[l]+r[l];s.set(t.get(...i),...o)}return s}var qhe=class{constructor(e,t,n,r,s,a){this.separator=k.encodeString(e),this.nGramWidths=t,this.leftPad=k.encodeString(n),this.rightPad=k.encodeString(r),this.padWidth=s,this.preserveShort=a}getPadWidth(e){return Math.min(this.padWidth<0?e-1:this.padWidth,e-1)}getNumNGrams(e,t){let n=this.getPadWidth(t);return Math.max(0,e+2*n-t+1)}createNGrams(e,t,n,r,s,a){for(let o=0;o<s;++o){let i=this.getPadWidth(a),l=Math.max(0,i-o),u=Math.max(0,i-(s-(o+1))),c=a-(l+u),d=t+(l>0?0:o-i),h=0;h+=l*this.leftPad.length;for(let y=0;y<c;++y)h+=e[d+y].length;h+=u*this.rightPad.length,h+=(l+u+c-1)*this.separator.length,n[r+o]=new Uint8Array(h);let f=n[r+o],m=0,g=y=>y.forEach(A=>f[m++]=A);for(let y=0;y<l;++y)g(this.leftPad),g(this.separator);for(let y=0;y<c-1;++y)g(e[d+y]),g(this.separator);if(c>0){g(e[d+c-1]);for(let y=0;y<u;++y)g(this.separator),g(this.rightPad)}else{for(let y=0;y<u-1;++y)g(this.rightPad),g(this.separator);g(this.rightPad)}}}compute(e,t){let n=e.length,r=t.length;if(r>0){let i=t[0];if(i!==0)throw new Error( ` First split value must be 0 , got $ { i } ` );for(let l=1;l<r;++l){let u=t[l]>=i;if(u=u&&t[l]<=n,!u)throw new Error( ` Invalid split value $ { t [ l ] } , must be in [ $ { i } , $ { n } ] ` );i=t[l]}if(i!==n)throw new Error( ` Last split value must be data size . Expected $ { n } , got $ { i } ` )}let s=r-1,a=k.getArrayFromDType("int32",r);if(n===0||r===0){let i=new Array(n);for(let l=0;l<=s;++l)a[l]=0;return[i,a]}a[0]=0;for(let i=1;i<=s;++i){let l=t[i]-t[i-1],u=0;this.nGramWidths.forEach(c=>{u+=this.getNumNGrams(l,c)}),this.preserveShort&&l>0&&u===0&&(u=1),a[i]=a[i-1]+u}let o=new Array(a[s]);for(let i=0;i<s;++i){let l=t[i],u=a[i];if(this.nGramWidths.forEach(c=>{let d=t[i+1]-t[i],h=this.getNumNGrams(d,c);this.createNGrams(e,l,o,u,h,c),u+=h}),this.preserveShort&&u===a[i]){let c=t[i+1]-t[i];if(c===0)continue;let d=c+2*this.padWidth,h=1;this.createNGrams(e,l,o,u,h,d)}}return[o,a]}};function Khe(e,t,n,r,s,a,o,i){return new qhe(n,r,s,a,o,i).compute(e,t)}function Xhe(e,t,n){if(!e.length)return[];if(t.length===0){let a=new Array(e.length);for(let o=0;o<e.length;++o)a[o]=e.subarray(o,o+1);return a}if(t.length===1){let a=t[0],o=[],i=e.indexOf(a);for(;i!==-1;){let l=e.subarray(0,i);(!n||l.length!==0)&&o.push(l),e=e.subarray(i+1),i=e.indexOf(a)}return(!n||e.length!==0)&&o.push(e),o}let r=[],s=0;for(
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void main ( ) {
setOutput ( vec4 ( getA ( ) , 0. , 0. , 0. ) ) ;
}
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` ;else{let n=Vn("rc",t),r=It(t),s=Wpe(t,e,n),a=Vpe(t,e[e.length-1],e[e.length-2],n),o=Upe(e,n);this.userCode= `
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void main ( ) {
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$ { r } rc = getOutputCoords ( ) ;
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if ( $ { s } ) {
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setOutput ( vec4 ( 0 ) ) ;
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} else {
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$ { a }
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setOutput ( vec4 ( $ { o } ) ) ;
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}
}
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` }}};function Bpe(e,t){let n=[];for(let r=0;r<=1;r++)for(let s=0;s<=1;s++){let a= ` $ { r === 0 ? "r" : "rp1" } , $ { s === 0 ? "c" : "cp1" } ` ;for(let o=2;o<e;o++)a= ` $ { t [ t . length - 1 - o ] } , ` +a;n.push(a)}return n}function Wpe(e,t,n){if(e===1)return ` rc > $ { t [ 0 ] } ` ;let r="";for(let s=e-2;s<e;s++)r+= ` $ { n [ s ] } >= $ { t [ s ] } ` ,s<e-1&&(r+="||");return r}function Vpe(e,t,n,r){if(e===1)return"";let s=r.slice(-2);return `
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int r = $ { s [ 0 ] } ;
int c = $ { s [ 1 ] } ;
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int rp1 = r + 1 ;
int cp1 = c + 1 ;
bool cEdge = cp1 >= $ { t } ;
bool rEdge = rp1 >= $ { n } ;
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` }function Upe(e,t){let n=e.length,r=Bpe(n,t);return n===1? ` getA ( rc ) ,
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rc + 1 >= $ { e [ 0 ] } ? 0. : getA ( rc + 1 ) ,
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0 , 0 ` : ` getA ( $ { r [ 0 ] } ) ,
cEdge ? 0. : getA ( $ { r [ 1 ] } ) ,
rEdge ? 0. : getA ( $ { r [ 2 ] } ) ,
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rEdge || cEdge ? 0. : getA ( $ { r [ 3 ] } ) ` }var gE=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let n="";for(let r=0;r<4;r++){let s="thisRC = rc;";r%2==1&&(s+="thisRC.z += 1;"),r>1&&(s+="thisRC.y += 1;"),n+= `
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$ { s }
$ { r > 0 ? "if(thisRC.y < rows && thisRC.z < cols){" : "" }
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int flatIndex = getFlatIndex ( thisRC ) ;
ivec3 inputRC = inputCoordsFromReshapedOutCoords ( flatIndex ) ;
vec2 inputRCInnerDims = vec2 ( float ( inputRC . y ) , float ( inputRC . z ) ) ;
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result [ $ { r } ] =
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getChannel ( getA ( inputRC . x , inputRC . y , inputRC . z ) , inputRCInnerDims ) ;
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$ { r > 0 ? "}" : "" }
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` }this.userCode= `
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$ { Hpe ( t ) }
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$ { X5 ( e ) }
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void main ( ) {
ivec3 rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
ivec3 thisRC ;
int rows = $ { e [ 1 ] } ;
int cols = $ { e [ 2 ] } ;
$ { n }
setOutput ( result ) ;
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}
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` }};function Hpe(e){return `
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ivec3 inputCoordsFromReshapedOutCoords ( int index ) {
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$ { Ai ( [ "r" , "c" , "d" ] , e ) }
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return ivec3 ( r , c , d ) ;
}
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` }var Gpe=class{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(e,t,n){let r=AE(t,n),s=xE(e,r,n);s in this.freeTextures||(this.freeTextures[s]=[]),s in this.usedTextures||(this.usedTextures[s]=[]);let a=yE(e,r,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[s].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=a,this.log();let i=this.freeTextures[s].shift();return this.usedTextures[s].push(i),i}let o;return r===Tn.PACKED_2X2_FLOAT32?o=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===Tn.PACKED_2X2_FLOAT16?o=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):r===Tn.UNPACKED_FLOAT32?o=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===Tn.UNPACKED_FLOAT16?o=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===Tn.PACKED_4X1_UNSIGNED_BYTE&&(o=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[s].push(o),this.numUsedTextures++,this._numBytesAllocated+=a,this.log(),o}releaseTexture(e,t,n,r){if(this.freeTextures==null)return;let s=AE(n,r),a=xE(t,s,r);a in this.freeTextures||(this.freeTextures[a]=[]);let o=yE(t,s,this.gpgpu.gl,this.gpgpu.textureConfig,r),i=ae().get("WEBGL_DELETE_TEXTURE_THRESHOLD");i!==-1&&this._numBytesAllocated>i?(this.gpgpu.deleteMatrixTexture(e),this._numBytesAllocated-=o):(this.freeTextures[a].push(e),this.numFreeTextures++,this._numBytesFree+=o),this.numUsedTextures--;let l=this.usedTextures[a],u=l.indexOf(e);if(u<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(u,1),this.log()}log(){if(!this.logEnabled)return;let e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used", ` $ { this . numFreeTextures } / $ { this . numUsedTextures } ` , ` ( $ { e } ) ` );let t=this._numBytesFree/this._numBytesAllocated;console.log( ` Bytes allocated : $ { this . _numBytesAllocated } ` ),console.log( ` Bytes unused : $ { this . _numBytesFree } ( $ { Math . round ( 100 * t ) } % ) ` )}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let e in this.freeTextures)this.freeTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t)});for(let e in this.usedTextures)this.usedTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function jpe(e,t){let n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F)return 16;if(t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;throw new Error( ` Unknown internal format $ { t } ` )}function yE(e,t,n,r,s){let a=qpe(t,r),o;if(s){let[l,u]=fu(e[0],e[1]);o=l*u}else{let[l,u]=ah(e[0],e[1]);o=l*u}let i=jpe(n,a);return o*i}function qpe(e,t){switch(e){case Tn.PACKED_2X2_FLOAT32:return Q5(t);case Tn.PACKED_2X2_FLOAT16:return eb(t);case Tn.UNPACKED_FLOAT32:return Z5(t);case Tn.UNPACKED_FLOAT16:return Y5(t);case Tn.PACKED_4X1_UNSIGNED_BYTE:return J5(t);default:throw new Error( ` Unknown physical texture type $ { e } ` )}}function Kpe(e){return ae().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?Tn.PACKED_2X2_FLOAT32:Tn.UNPACKED_FLOAT32:e?Tn.PACKED_2X2_FLOAT16:Tn.UNPACKED_FLOAT16}function AE(e,t){if(e===zr.UPLOAD)return Tn.PACKED_2X2_FLOAT32;if(e===zr.RENDER||e==null)return Kpe(t);if(e===zr.DOWNLOAD||e===zr.PIXELS)return Tn.PACKED_4X1_UNSIGNED_BYTE;throw new Error( ` Unknown logical texture type $ { e } ` )}function xE(e,t,n){return ` $ { e [ 0 ] } _$ { e [ 1 ] } _$ { t } _$ { n } ` }var Qa=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.userCode= `
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float unaryOperation ( float x ) {
$ { t }
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}
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void main ( ) {
float x = getAAtOutCoords ( ) ;
float y = unaryOperation ( x ) ;
setOutput ( y ) ;
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}
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` }},ys="if (isnan(x)) return x;",Xpe="return x;",bE="return abs(x);",Zpe="return (x >= 0.0) ? x : (exp(x) - 1.0);",Ype=ys+ `
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return ( x < 0.0 ) ? 0.0 : x ;
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` ,Jpe=ys+ `
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return ( x < 0.0 ) ? 0.0 : min ( 6.0 , x ) ;
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` ,Vm="return x;",Qpe="return 1.0 / (1.0 + exp(-1.0 * x));",efe="return x;",tfe= `
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vec4 result ;
result . r = ( x . r >= 0.0 ) ? x . r : ( exp ( x . r ) - 1.0 ) ;
result . g = ( x . g >= 0.0 ) ? x . g : ( exp ( x . g ) - 1.0 ) ;
result . b = ( x . b >= 0.0 ) ? x . b : ( exp ( x . b ) - 1.0 ) ;
result . a = ( x . a >= 0.0 ) ? x . a : ( exp ( x . a ) - 1.0 ) ;
return result ;
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` ,nfe= `
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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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` ,rfe= `
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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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` ,sfe="return 1.0 / (1.0 + exp(-1.0 * x));",wu=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode= `
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vec4 unaryOperation ( vec4 x ) {
$ { t }
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}
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void main ( ) {
vec4 x = getAAtOutCoords ( ) ;
vec4 y = unaryOperation ( x ) ;
setOutput ( y ) ;
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}
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` }},afe=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e;let t=e.length,n=Vn("rc",t),r=It(t),s=zpe(t,n),a=n.slice(-2),o=t<=1?"rc": ` vec2 ( $ { a . join ( "," ) } ) ` ;this.userCode= `
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void main ( ) {
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$ { r } rc = getOutputCoords ( ) ;
vec4 packedInput = getA ( $ { s } ) ;
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setOutput ( getChannel ( packedInput , $ { o } ) ) ;
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}
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` }},ofe=ca.whereImpl,ife=1e-7,lfe=1e-4,Um={};function ufe(e){return e in Um||(Um[e]={}),Um[e]}var cfe=ae().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),dfe=600;function hfe(){return ae().global.screen==null?1024:ae().global.screen.height*ae().global.screen.width*window.devicePixelRatio*dfe/1024/1024}var vE=class extends Bp{constructor(e){super();if(this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!ae().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(e==null){let t=Ls(ae().getNumber("WEBGL_VERSION"));this.binaryCache=ufe(ae().getNumber("WEBGL_VERSION")),this.gpgpu=new Bm(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 Gpe(this.gpgpu),this.numMBBeforeWarning=hfe(),this.texData=new fy(this,za())}nextDataId(){return vE.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}write(e,t,n){if((ae().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||ae().getBool("DEBUG"))&&this.checkNumericalProblems(e),n==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let r={id:this.nextDataId()};return this.texData.set(r,{shape:t,dtype:n,values:e,usage:zr.UPLOAD,refCount:1}),r}refCount(e){return this.texData.has(e)?this.texData.get(e).refCount:0}incRef(e){let t=this.texData.get(e);t.refCount++}decRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.refCount--}}move(e,t,n,r,s){if(ae().getBool("DEBUG")&&this.checkNumericalProblems(t),r==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:r,values:t,usage:zr.UPLOAD,refCount:s})}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}readSync(e){let t=this.texData.get(e),{values:n,dtype:r,complexTensorInfos:s,slice:a,shape:o,isPacked:i}=t;if(a!=null){let d;i?d=new wu(o,Vm):d=new Qa(o,Vm);let h=this.runWebGLProgram(d,[{dataId:e,shape:o,dtype:r}],r),p=this.readSync(h.dataId);return this.disposeIntermediateTensorInfo(h),p}if(n!=null)return this.convertAndCacheOnCPU(e);if(r==="string")return n;let l=this.activeTimers!=null,u;l&&(u=k.now());let c;if(r==="complex64"){let d=this.readSync(s.real.dataId),h=this.readSync(s.imag.dataId);c=R.mergeRealAndImagArrays(d,h)}else c=this.getValuesFromTexture(e);return l&&(this.downloadWaitMs+=k.now()-u),this.convertAndCacheOnCPU(e,c)}async read(e){if(this.pendingRead.has(e)){let p=this.pendingRead.get(e);return new Promise(f=>p.push(f))}let t=this.texData.get(e),{values:n,shape:r,slice:s,dtype:a,complexTensorInfos:o,isPacked:i}=t;if(s!=null){let p;i?p=new wu(r,Vm):p=new Qa(r,Vm);let f=this.runWebGLProgram(p,[{dataId:e,shape:r,dtype:a}],a),m=this.read(f.dataId);return this.disposeIntermediateTensorInfo(f),m}if(n!=null)return this.convertAndCacheOnCPU(e);if(!ae().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&ae().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let l=null,u;if(a!=="complex64"&&ae().get("WEBGL_BUFFER_SUPPORTED")){u=this.decode(e);let p=this.texData.get(u.dataId);l=this.gpgpu.createBufferFromTexture(p.texture,...oh(r))}this.pendingRead.set(e,[]),a!=="complex64"&&await this.gpgpu.createAndWaitForFence();let c;if(a==="complex64"){let p=await Promise.all([this.read(o.real.dataId),this.read(o.imag.dataId)]),f=p[0],m=p[1];c=R.mergeRealAndImagArrays(f,m)}else if(l==null)c=this.getValuesFromTexture(e);else{let p=k.sizeFromShape(r);c=this.gpgpu.downloadFloat32MatrixFromBuffer(l,p)}u!=null&&this.disposeIntermediateTensorInfo(u);let d=this.convertAndCacheOnCPU(e,c),h=this.pendingRead.get(e);return this.pendingRead.delete(e),h.forEach(p=>p(d)),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)&&za().removeDataId(e,this),this.pendingDeletes
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if ( isnan ( a ) ) return a ;
if ( isnan ( b ) ) return b ;
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` ,ku=class{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=R.assertAndGetBroadcastShape(t,n),this.userCode= `
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float binaryOperation ( float a , float b ) {
$ { e }
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}
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void main ( ) {
float a = getAAtOutCoords ( ) ;
float b = getBAtOutCoords ( ) ;
setOutput ( binaryOperation ( a , b ) ) ;
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}
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` }},Hm= `
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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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` ,hh=class{constructor(e,t,n,r=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=R.assertAndGetBroadcastShape(t,n);let s=this.outputShape.length,a="";if(r)if(s===0||k.sizeFromShape(this.outputShape)===1)a= `
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result . y = 0. ;
result . z = 0. ;
result . w = 0. ;
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` ;else if(a= `
$ { It ( s ) } coords = getOutputCoords ( ) ;
` ,s===1)a+= `
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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=Vn("coords",s);a+= `
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bool nextRowOutOfBounds =
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( $ { i [ s - 2 ] } + 1 ) >= $ { this . outputShape [ s - 2 ] } ;
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bool nextColOutOfBounds =
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( $ { i [ s - 1 ] } + 1 ) >= $ { this . outputShape [ s - 1 ] } ;
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result . y = nextColOutOfBounds ? 0. : result . y ;
result . z = nextRowOutOfBounds ? 0. : result . z ;
result . w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result . w ;
` }this.userCode= `
vec4 binaryOperation ( vec4 a , vec4 b ) {
$ { e }
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}
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void main ( ) {
vec4 a = getAAtOutCoords ( ) ;
vec4 b = getBAtOutCoords ( ) ;
vec4 result = binaryOperation ( a , b ) ;
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$ { a }
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setOutput ( result ) ;
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}
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` }};function gr(e){let{inputs:t,backend:n}=e,{x:r}=t;return n.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}var gfe={kernelName:hl,backendName:"webgl",kernelFunc:gr};function eo(e){let{inputs:t,backend:n}=e,{real:r,imag:s}=t,a=n.makeTensorInfo(r.shape,"complex64"),o=n.texData.get(a.dataId),i=gr({inputs:{x:r},backend:n}),l=gr({inputs:{x:s},backend:n});return o.complexTensorInfos={real:i,imag:l},a}var yfe={kernelName:Iy,backendName:"webgl",kernelFunc:eo},IE="return (a < 0.) ? b * a : a;",SE= `
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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 Afe(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{alpha:a}=r,o=n.makeTensorInfo([],"float32",k.createScalarValue(a,"float32")),i=ae().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new hh(SE,s.shape,o.shape):new ku(IE,s.shape,o.shape),l=n.runWebGLProgram(i,[s,o],s.dtype);return n.disposeIntermediateTensorInfo(o),l}var xfe={kernelName:pl,backendName:"webgl",kernelFunc:Afe},TE="return (a < 0.) ? b * a : a;",NE= `
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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 bfe(e){let{inputs:t,backend:n}=e,{x:r,alpha:s}=t,a=ae().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new hh(NE,r.shape,s.shape):new ku(TE,r.shape,s.shape);return n.runWebGLProgram(a,[r,s],r.dtype)}var vfe={kernelName:Sl,backendName:"webgl",kernelFunc:bfe},CE="if (isnan(x)) return x;",wfe= `
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if ( isnan ( a ) ) return a ;
if ( isnan ( b ) ) return b ;
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` ,kfe= `
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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 ;
2021-06-14 16:23:06 +02:00
` ;function it({opSnippet:e,packedOpSnippet:t,cpuKernelImpl:n,dtype:r}){return({inputs:s,backend:a})=>{let{x:o}=s,i=a,l=r||o.dtype;if(i.shouldExecuteOnCPU([o])&&n!=null){let d=i.texData.get(o.dataId),h=n(d.values,l);return i.makeTensorInfo(o.shape,l,h)}let u=ae().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,c;return u?c=new wu(o.shape,t):c=new Qa(o.shape,e),i.runWebGLProgram(c,[o],l)}}function Nn({opSnippet:e,packedOpSnippet:t,checkOutOfBounds:n=!1,supportsComplex:r=!1,cpuKernelImpl:s,dtype:a}){return({inputs:o,backend:i})=>{let{a:l,b:u}=o,c=i;if(r&&l.dtype==="complex64"){let f=c.texData.get(l.dataId),m=c.texData.get(u.dataId),[g,y]=[[f.complexTensorInfos.real,m.complexTensorInfos.real],[f.complexTensorInfos.imag,m.complexTensorInfos.imag]].map(x=>{let[b,v]=x,w={dataId:b.dataId,dtype:b.dtype,shape:l.shape},S={dataId:v.dataId,dtype:v.dtype,shape:u.shape},I=new ku(e,l.shape,u.shape);return c.runWebGLProgram(I,[w,S],qr(b.dtype,v.dtype))}),A=eo({inputs:{real:g,imag:y},backend:c});return c.disposeIntermediateTensorInfo(g),c.disposeIntermediateTensorInfo(y),A}let d=a||qr(l.dtype,u.dtype);if((l.dtype==="string"||u.dtype==="string"||c.shouldExecuteOnCPU([l,u]))&&s!=null){let f=c.texData.get(l.dataId).values,m=c.texData.get(u.dataId).values,g=l.dtype==="string"?R.fromUint8ToStringArray(f):f,y=l.dtype==="string"?R.fromUint8ToStringArray(m):m,[A,x]=s(l.shape,u.shape,g,y,d),b=c.makeTensorInfo(x,d),v=c.texData.get(b.dataId);return v.values=A,b}let h=ae().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,p;return h?p=new hh(t,l.shape,u.shape,n):p=new ku(e,l.shape,u.shape),c.runWebGLProgram(p,[l,u],d)}}function Gm(e,t=!1){if(e==="linear")return t?efe:Xpe;if(e==="relu")return t?nfe:Ype;if(e==="elu")return t?tfe:Zpe;if(e==="relu6")return t?rfe:Jpe;if(e==="prelu")return t?NE:TE;if(e==="leakyrelu")return t?SE:IE;if(e==="sigmoid")return t?sfe:Qpe;throw new Error( ` Activation $ { e } has not been implemented for the WebGL backend . ` )}var EE=class{constructor(e,t,n,r=!1,s=!1,a=!1,o=null,i=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n;let u=r?e[1]:e[2],c=Math.ceil(u/2),d=r?"i * 2, rc.y":"rc.y, i * 2",h=s?"rc.z, i * 2":"i * 2, rc.z",p=r?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],f=s?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],m="",g="";o&&(i?m= ` vec4 activation ( vec4 a ) {
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vec4 b = getPreluActivationWeightsAtOutCoords ( ) ;
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$ { o }
} ` :l?m= ` vec4 activation ( vec4 a ) {
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vec4 b = getLeakyreluAlphaAtOutCoords ( ) ;
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$ { o }
} ` :m= ` vec4 activation ( vec4 x ) {
$ { o }
} ` ,g="result = activation(result);");let y=a?"result += getBiasAtOutCoords();":"";a&&this.variableNames.push("bias"),i&&this.variableNames.push("preluActivationWeights"),l&&this.variableNames.push("leakyreluAlpha");let A="rc.x",x="rc.x";e[0]<t[0]?A= ` int ( min ( float ( rc . x ) , $ { e [ 0 ] - 1 } . ) ) ` :t[0]<e[0]&&(x= ` int ( min ( float ( rc . x ) , $ { t [ 0 ] - 1 } . ) ) ` ),this.userCode= `
$ { m }
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const float sharedDimension = $ { c } . 0 ;
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vec4 dot2x2ARowBCol ( ivec3 rc ) {
vec4 result = vec4 ( 0 ) ;
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for ( int i = 0 ; i < $ { c } ; i ++ ) {
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int batchA = $ { A } ;
int batchB = $ { x } ;
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vec4 a = getMatrixA ( batchA , $ { d } ) ;
vec4 b = getMatrixB ( batchB , $ { h } ) ;
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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 += ( $ { p [ 0 ] } * $ { f [ 0 ] } ) ;
result += ( $ { p [ 1 ] } * $ { f [ 1 ] } ) ;
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}
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return result ;
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}
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void main ( ) {
ivec3 rc = getOutputCoords ( ) ;
vec4 result = dot2x2ARowBCol ( rc ) ;
$ { y }
$ { g }
setOutput ( result ) ;
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}
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` }}, $ E={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},_E=class{constructor(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=R.assertAndGetBroadcastShape(t,n),this.userCode= `
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float binaryOpComplex (
float areal , float aimag , float breal , float bimag ) {
$ { e }
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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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}
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` }},RE="return a * b;";function ib(e){let{inputs:t,backend:n}=e,{a:r,b:s}=t,a=R.upcastType(r.dtype,s.dtype);if(r.dtype==="complex64"){let i=n.texData.get(r.dataId),l=n.texData.get(s.dataId),u=new _E( $ E.REAL,r.shape,s.shape),c=new _E( $ E.IMAG,r.shape,s.shape),d=[{dataId:i.complexTensorInfos.real.dataId,dtype:i.complexTensorInfos.real.dtype,shape:r.shape},{dataId:i.complexTensorInfos.imag.dataId,dtype:i.complexTensorInfos.imag.dtype,shape:r.shape},{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:s.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:s.shape}],h=n.runWebGLProgram(u,d,"float32"),p=n.runWebGLProgram(c,d,"float32"),f=eo({inputs:{real:h,imag:p},backend:n});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(p),f}if(n.shouldExecuteOnCPU([r,s])){let i=n.texData.get(r.dataId),l=n.texData.get(s.dataId),[u,c]=vpe(r.shape,s.shape,i.values,l.values,a),d=n.makeTensorInfo(c,a),h=n.texData.get(d.dataId);return h.values=u,d}let o;return ae().getBool("WEBGL_PACK_BINARY_OPERATIONS")?o=new hh(RE,r.shape,s.shape):o=new ku(RE,r.shape,s.shape),n.runWebGLProgram(o,[r,s],a)}var Ife={kernelName:Mo,backendName:"webgl",kernelFunc:ib};function Sfe(e,t,n){let r=[gi(e.shape),...yi(e.shape)],s={dtype:e.dtype,shape:r,dataId:e.dataId},a=[gi(t),...yi(t)],o=new gE(a,r),i=!0,l=n.runWebGLProgram(o,[s],e.dtype,null,i);return{dataId:l.dataId,shape:t,dtype:l.dtype}}function ve(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{shape:a}=r,o=n,i=k.sizeFromShape(s.shape),l=k.inferFromImplicitShape(a,i),u=k.sizeFromShape(l);k.assert(i===u,()=> ` The new shape ( $ { l } ) has $ { u } elements and the old shape ( $ { s . shape } ) has $ { i } elements . The new shape and old shape must have the same number of elements . ` );let c=o.texData.get(s.dataId);return c.isPacked&&!uh(s.shape,l)&&!(c.texture!==null&&uh(c.shape,l))?Sfe(s,l,o):(o.incRef(s.dataId),{dataId:s.dataId,shape:l,dtype:s.dtype})}var Tfe={kernelName:Qc,backendName:"webgl",kernelFunc:ve},DE=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:r,inSize:s,outSize:a}=e;this.outputShape=[r,a];let o=Math.floor(n/4)*4,i=n%4,l="sumValue += dot(values, ones);";if(t!=null){let c=1/t;l= ` sumValue += dot ( values * $ { k . isInt ( c ) ? c . toPrecision ( 2 ) : c } , ones ) ; ` }let u="";s%n>0&&(u= `
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if ( inIdx < 0 || inIdx >= $ { s } ) {
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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 ) {
$ { u }
return getX ( batch , inIdx ) ;
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}
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = outIdx * $ { n } ;
float sumValue = 0.0 ;
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for ( int i = 0 ; i < $ { o } ; 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 )
) ;
$ { l }
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}
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int inIdx = inOffset + $ { o } ;
if ( $ { i === 1 } ) {
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vec4 values = vec4 ( getValue ( batch , inIdx ) , 0.0 , 0.0 , 0.0 ) ;
$ { l }
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} else if ( $ { i === 2 } ) {
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vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) , 0.0 , 0.0 ) ;
$ { l }
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} else if ( $ { i === 3 } ) {
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vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) , 0.0 ) ;
$ { l }
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}
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setOutput ( sumValue ) ;
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}
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` }},Nfe=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:r,inSize:s,outSize:a}=e;this.outputShape=[r,a];let o="0.0",i="";t==="prod"?o="1.0":t==="min"?(o="1.0 / 1e-20",i="min"):t==="max"&&(o="-1.0 / 1e-20",i="max");let l= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="sum"?l="sumValue":t==="prod"?l="prodValue":t==="all"?l="allValue":t==="any"&&(l="anyValue");let u=Math.floor(n/4)*4,c=n%4,d= `
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if ( $ { t === "sum" } ) {
sumValue += dot ( values , ones ) ;
} else if ( $ { t === "prod" } ) {
vec2 tmp = vec2 ( values [ 0 ] , values [ 1 ] ) * vec2 ( values [ 2 ] , values [ 3 ] ) ;
prodValue *= tmp [ 0 ] * tmp [ 1 ] ;
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} else {
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minMaxValue = $ { i } ( values , minMaxValue ) ;
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if ( $ { t === "min" } || $ { t === "max" } ) {
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minMaxValue = $ { i } ( values , minMaxValue ) ;
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bvec4 isNaN = isnan ( values ) ;
if ( isNaN . r || isNaN . g || isNaN . b || isNaN . a ) {
minMaxValue = vec4 ( NAN ) ;
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}
}
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}
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` ,h="vec4";t==="all"?(o="1.0",d= `
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bool reducedAllValue = all ( values ) ;
float floatedReducedAllValue = float ( reducedAllValue ) ;
allValue = float ( allValue >= 1.0 && floatedReducedAllValue >= 1.0 ) ;
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` ,h="bvec4"):t==="any"&&(o="0.0",d= `
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bool reducedAnyValue = any ( values ) ;
float floatedReducedAnyValue = float ( reducedAnyValue ) ;
anyValue = float ( anyValue >= 1.0 || floatedReducedAnyValue >= 1.0 ) ;
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` ,h="bvec4");let p="";s%n>0&&(p= `
if ( inIdx < 0 || inIdx >= $ { s } ) {
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return initializationValue ;
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}
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` ),this.userCode= `
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const float initializationValue = $ { o } ;
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const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
float getValue ( int batch , int inIdx ) {
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$ { p }
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return getX ( batch , inIdx ) ;
}
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = outIdx * $ { n } ;
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vec4 minMaxValue = vec4 ( $ { o } ) ;
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float prodValue = 1.0 ;
float sumValue = 0.0 ;
float allValue = 1.0 ;
float anyValue = 0.0 ;
for ( int i = 0 ; i < $ { u } ; i += 4 ) {
int inIdx = inOffset + i ;
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$ { h } values = $ { h } (
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getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
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$ { d }
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}
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int inIdx = inOffset + $ { u } ;
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if ( $ { c === 1 } ) {
$ { h } values = $ { h } (
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getValue ( batch , inIdx ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
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$ { d }
} else if ( $ { c === 2 } ) {
$ { h } values = $ { h } (
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getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
initializationValue ,
initializationValue
) ;
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$ { d }
} else if ( $ { c === 3 } ) {
$ { h } values = $ { h } (
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getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
initializationValue
) ;
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$ { d }
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}
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setOutput ( $ { l } ) ;
}
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` }};function Cfe(e){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let n=t.length?t[t.length-1].outSize:e[1],r=R.computeOptimalWindowSize(n);t.push({inSize:n,windowSize:r,outSize:Math.ceil(n/r)})}return t}function bi(e,t,n,r){let s=Cfe(e.shape),a=e;for(let o=0;o<s.length;o++){let{inSize:i,windowSize:l,outSize:u}=s[o],c,d;n==="mean"?c=o===0?new DE({windowSize:l,inSize:i,batchSize:e.shape[0],outSize:u},i):new DE({windowSize:l,inSize:i,batchSize:e.shape[0],outSize:u}):c=new Nfe({windowSize:l,inSize:i,batchSize:e.shape[0],outSize:u},n),d=a,a=r.runWebGLProgram(c,[a],t),d.dataId!==e.dataId&&r.disposeIntermediateTensorInfo(d)}return a}var Efe=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let a=0;a<n.length;a++)n[a]=e[t[a]];this.outputShape=n,this.rank=n.length;let r=It(this.rank),s= $ fe(t);this.userCode= `
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void main ( ) {
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$ { r } resRC = getOutputCoords ( ) ;
setOutput ( getA ( $ { s } ) ) ;
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}
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` }};function $ fe(e){let t=e.length;if(t>6)throw Error( ` Transpose for rank $ { t } is not yet supported ` );let n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(t);for(let s=0;s<e.length;s++)r[e[s]]=n[s];return r.join()}var _fe=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;let n=new Array(e.length);for(let u=0;u<n.length;u++)n[u]=e[t[u]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error( ` Packed transpose for rank $ { this . rank } is not yet supported . ` );let r=It(this.rank),s=mE("rc",this.rank),a=new Array(this.rank);for(let u=0;u<t.length;u++)a[t[u]]=s[u];let o= ` vec2 ( $ { a . slice ( - 2 ) . join ( ) } ) ` ,i= ` ++ $ { s [ this . rank - 1 ] } < $ { n [ this . rank - 1 ] } ` ,l= ` getChannel ( getA ( $ { a . join ( ) } ) , $ { o } ) ` ;this.userCode= `
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void main ( ) {
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$ { r } rc = getOutputCoords ( ) ;
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vec4 result = vec4 ( 0. ) ;
result [ 0 ] = $ { l } ;
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if ( $ { i } ) {
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result [ 1 ] = $ { l } ;
}
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-- $ { s [ this . rank - 1 ] } ;
if ( ++ $ { s [ this . rank - 2 ] } < $ { n [ this . rank - 2 ] } ) {
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result [ 2 ] = $ { l } ;
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if ( $ { i } ) {
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result [ 3 ] = $ { l } ;
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}
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}
setOutput ( result ) ;
}
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` }};function jm(e,t,n){let r=ae().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new _fe(e.shape,t):new Efe(e.shape,t);return n.runWebGLProgram(r,[e],e.dtype)}function Rfe(e,t,n,r){let s=t,a=e.shape.length,o=k.parseAxisParam(s,e.shape),i=o,l=R.getAxesPermutation(i,a),u=l!=null,c=e;u&&(c=jm(e,l,r),i=R.getInnerMostAxes(i.length,a)),R.assertAxesAreInnerMostDims("sum",i,a);let[d,h]=R.computeOutAndReduceShapes(c.shape,i),p=d;n&&(p=R.expandShapeToKeepDim(d,o));let f=k.sizeFromShape(h),g=k.sizeFromShape(e.shape)/f,y=ve({inputs:{x:c},attrs:{shape:[g,f]},backend:r}),A=pA(e.dtype),x=bi(y,A,"sum",r),b=ve({inputs:{x},attrs:{shape:p},backend:r});return r.disposeIntermediateTensorInfo(y),r.disposeIntermediateTensorInfo(x),u&&r.disposeIntermediateTensorInfo(c),b}function qm(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{axis:a,keepDims:o}=r;return Rfe(s,a,o,n)}var Dfe={kernelName:Fl,backendName:"webgl",kernelFunc:qm};function Un(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{perm:a}=r,o=n,i=s.shape.length,l=new Array(i);for(let c=0;c<l.length;c++)l[c]=s.shape[a[c]];let u;if(o.shouldExecuteOnCPU([s])){let d=o.texData.get(s.dataId).values,h=ob(d,s.shape,s.dtype,a,l);u=o.makeTensorInfo(l,s.dtype);let p=o.texData.get(u.dataId);p.values=h}else u=jm(s,a,o);return u}var Ffe={kernelName:zl,backendName:"webgl",kernelFunc:Un},FE=1e3;function Km({a:e,b:t,transposeA:n,transposeB:r,backend:s,bias:a=null,preluActivationWeights:o=null,leakyreluAlpha:i=0,activation:l=null}){let u=e.shape.length,c=t.shape.length,d=n?e.shape[u-2]:e.shape[u-1],h=r?t.shape[c-1]:t.shape[c-2],p=n?e.shape[u-1]:e.shape[u-2],f=r?t.shape[c-2]:t.shape[c-1],m=e.shape.slice(0,-2),g=t.shape.slice(0,-2),y=k.sizeFromShape(m),A=k.sizeFromShape(g),x=y===A||y===1||A===1;k.assert(u>=2&&c>=2&&x,()=> ` Error in matMul : the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of ( $ { m } ) and ( $ { g } ) . ` );let v=(y>A?e.shape.slice(0,-2):t.shape.slice(0,-2)).concat([p,f]);k.assert(d===h,()=> ` Error in matMul : inner shapes ( $ { d } ) and ( $ { h } ) of Tensors with shapes $ { e . shape } and $ { t . shape } and transposeA = $ { n } and transposeB = $ { r } must match . ` );let w=n?[y,d,p]:[y,p,d],S=r?[A,f,h]:[A,h,f],I=ve({inputs:{x:e},backend:s,attrs:{shape:w}}),E=ve({inputs:{x:t},backend:s,attrs:{shape:S}}),F=[I,E], $ =Math.max(y,A),_=n?I.shape[1]:I.shape[2],N=a!=null,P=o!=null,B=l==="leakyrelu",j=l!=null?Gm(l,!0):null,X=N||P||B||j!=null,Y;if((p===1||f===1)&&_>FE&&X===!1){let oe=I,se=E;n&&(oe=Un({inputs:{x:I},backend:s,attrs:{perm:[0,2,1]}}),F.push(oe)),r&&(se=Un({inputs:{x:E},backend:s,attrs:{perm:[0,2,1]}}),F.push(se));let ie=f!==1,ne=f===1,de=oe;ie&&(de=ve({inputs:{x:oe},backend:s,attrs:{shape:[ $ ,_,1]}}),F.push(de));let he=f===1?2:1,ge=se;ne&&(ge=ve({inputs:{x:se},backend:s,attrs:{shape:[ $ ,1,_]}}),F.push(ge));let be=ib({inputs:{a:de,b:ge},backend:s});Y=qm({inputs:{x:be},backend:s,attrs:{axis:he,keepDims:!0}}),F.push(be)}else{let oe=qr(e.dtype,t.dtype),se=new EE(w,S,[ $ ,p,f],n,r,N,j,P,B),ie=[I,E];if(a!=null&&ie.push(a),P&&ie.push(o),B){let ne=s.makeTensorInfo([],"float32",k.createScalarValue(i,"float32"));ie.push(ne),F.push(ne)}Y=s.runWebGLProgram(se,ie,oe)}let ee=ve({inputs:{x:Y},backend:s,attrs:{shape:v}});F.push(Y);for(let oe of F)s.disposeIntermediateTensorInfo(oe);return ee}function Mfe(e){let{inputs:t,backend:n,attrs:r}=e,{a:s,b:a,bias:o,preluActivationWeights:i}=t,{transposeA:l,transposeB:u,activation:c,leakyreluAlpha:d}=r;return Km({a:s,b:a,transposeA:l,transposeB:u,backend:n,bias:o,preluActivationWeights:i,leakyreluAlpha:d,activation:c})}var Ofe={kernelName:Ll,backendName:"webgl",kernelFunc:Mfe},ME="return abs(x);";function Pfe(e){let{inputs:t,backend:n}=e,{x:r}=t;if(n.shouldExecuteOnCPU([r])&&r.dtype!=="complex64"){let a=n.texData.get(r.dataId),o=pE(a.values);return n.makeTensorInfo(r.shape,r.dtype,o)}let s;return ae().getBool("WEBGL_PACK_UNARY_OPERATIONS")?s=new wu(r.shape,ME):s=new Qa(r.shape,ME),n.runWebGLProgram(s,[r],r.dtype)}var zfe={kernelName:xc,backendName:"webgl",kernelFunc:Pfe},Lfe=ys+ `
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if ( abs ( x ) > 1. ) {
return NAN ;
}
return acos ( x ) ;
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` ,Bfe=it({opSnippet:Lfe}),Wfe={kernelName:bc,backendName:"webgl",kernelFunc:Bfe},Vfe=ys+ `
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if ( x < 1.0 ) return NAN ;
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return log ( x + sqrt ( x * x - 1.0 ) ) ; ` ,Ufe=it({opSnippet:Vfe}),Hfe={kernelName:vc,backendName:"webgl",kernelFunc:Ufe},OE="return a + b;",Gfe=Nn({opSnippet:OE,packedOpSnippet:OE,supportsComplex:!0,cpuKernelImpl:npe}),jfe={kernelName:Fa,backendName:"webgl",kernelFunc:Gfe},qfe=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((s,a)=> ` T$ { a } ` );let n=[];this.variableNames.forEach(s=>{n.push( ` float v$ { s } = get$ { s } AtOutCoords ( ) ; ` )});let r=this.variableNames.map(s=> ` v$ { s } ` ).join(" + ");this.userCode= `
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void main ( ) {
$ { n . join ( `
` )}
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float result = $ { r } ;
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setOutput ( result ) ;
}
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` }},Kfe=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((s,a)=> ` T$ { a } ` );let n=[];this.variableNames.forEach(s=>{n.push( ` vec4 v$ { s } = get$ { s } AtOutCoords ( ) ; ` )});let r=this.variableNames.map(s=> ` v$ { s } ` ).join(" + ");this.userCode= `
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void main ( ) {
$ { n . join ( `
` )}
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vec4 result = $ { r } ;
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setOutput ( result ) ;
}
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` }};function Xm(e){let{inputs:t,backend:n}=e,r=t;if(r.length===1)return gr({inputs:{x:r[0]},backend:n});if(r.length>ae().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let l=Math.floor(r.length/2),u=Xm({inputs:r.slice(0,l),backend:n}),c=Xm({inputs:r.slice(l),backend:n});return Xm({inputs:[u,c],backend:n})}let s=r.map(l=>l.dtype).reduce((l,u)=>qr(l,u)),a=r.map(l=>l.shape),i=ae().getBool("WEBGL_PACK")?new Kfe(r[0].shape,a):new qfe(r[0].shape,a);return n.runWebGLProgram(i,r,s)}var Xfe={kernelName:Zi,backendName:"webgl",kernelFunc:Xm};function Zfe(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{axis:a,keepDims:o}=r,i=s.shape.length,l=k.parseAxisParam(a,s.shape),u=l,c=R.getAxesPermutation(u,i),d=s;c!=null&&(d=Un({inputs:{x:s},backend:n,attrs:{perm:c}}),u=R.getInnerMostAxes(u.length,i)),R.assertAxesAreInnerMostDims("all",u,i);let[h,p]=R.computeOutAndReduceShapes(d.shape,u),f=k.sizeFromShape(p),m=ve({inputs:{x:d},backend:n,attrs:{shape:[-1,f]}}),g=bi(m,m.dtype,"all",n),y;if(o){let A=R.expandShapeToKeepDim(h,l);y=ve({inputs:{x:g},backend:n,attrs:{shape:A}})}else y=ve({inputs:{x:g},backend:n,attrs:{shape:h}});return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(g),c!=null&&n.disposeIntermediateTensorInfo(d),y}var Yfe={kernelName:wc,backendName:"webgl",kernelFunc:Zfe};function Jfe(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{axis:a,keepDims:o}=r,i=s.shape.length,l=k.parseAxisParam(a,s.shape),u=l,c=R.getAxesPermutation(u,i),d=s;c!=null&&(d=Un({inputs:{x:s},backend:n,attrs:{perm:c}}),u=R.getInnerMostAxes(u.length,i)),R.assertAxesAreInnerMostDims("any",u,i);let[h,p]=R.computeOutAndReduceShapes(d.shape,u),f=k.sizeFromShape(p),m=ve({inputs:{x:d},backend:n,attrs:{shape:[-1,f]}}),g=bi(m,m.dtype,"any",n),y;if(o){let A=R.expandShapeToKeepDim(h,l);y=ve({inputs:{x:g},backend:n,attrs:{shape:A}})}else y=ve({inputs:{x:g},backend:n,attrs:{shape:h}});return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(g),c!=null&&n.disposeIntermediateTensorInfo(d),y}var Qfe={kernelName:kc,backendName:"webgl",kernelFunc:Jfe},eme=class{constructor(e,t,n){this.variableNames=["A"];let{windowSize:r,batchSize:s,outSize:a}=e;n||this.variableNames.push("bestIndicesA"),this.outputShape=[s,a];let o=t==="max"?">":"<",i=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 * $ { r } ;
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int bestIndex = inOffset ;
float bestValue = getA ( batch , bestIndex ) ;
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for ( int i = 0 ; i < $ { r } ; i ++ ) {
int inIdx = $ { i } ;
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float candidate = getA ( batch , inIdx ) ;
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if ( candidate $ { o } bestValue ) {
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bestValue = candidate ;
bestIndex = inIdx ;
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}
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}
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setOutput ( float ( bestIndex ) ) ;
}
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` }},tme=class{constructor(e,t,n,r){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 s=e[e.length-1],a=Math.ceil(s/t);this.outputShape=e.slice(0,-1),a>1&&this.outputShape.push(a),r||this.variableNames.push("bestIndicesA");let o=this.outputShape,i=o.length,l=It(i),u=Vn("coords",i),c,d;if(a===1){d=i+1;let S=It(d);c= `
$ { S } sourceLocR = $ { S } ( $ { u . join ( ) } , 0 ) ;
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++ $ { u [ i - 1 ] } ;
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$ { S } sourceLocG = $ { S } ( $ { u . join ( ) } , 0 ) ;
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++ $ { u [ i - 2 ] } ;
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$ { S } sourceLocA = $ { S } ( $ { u . join ( ) } , 0 ) ;
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-- $ { u [ i - 1 ] } ;
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$ { S } sourceLocB = $ { S } ( $ { u . join ( ) } , 0 ) ;
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-- $ { u [ i - 2 ] } ; ` }else d=i,c= `
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$ { l } sourceLocR = coords ;
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++ $ { u [ i - 1 ] } ;
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$ { l } sourceLocG = coords ;
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++ $ { u [ i - 2 ] } ;
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$ { l } sourceLocA = coords ;
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-- $ { u [ i - 1 ] } ;
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$ { l } sourceLocB = coords ;
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-- $ { u [ i - 2 ] } ; ` ;let h=["x","y","z","w","u","v"].slice(0,d),p="."+h[d-1],f=h.map(S=>"int "+S),m=Vn("sourceLocR",d-1).concat("inIdx.r"),g=Vn("sourceLocG",d-1).concat("inIdx.g"),y=Vn("sourceLocB",d-1).concat("inIdx.b"),A=Vn("sourceLocA",d-1).concat("inIdx.a"),x=n==="max"?"greaterThan":"lessThan",b=r?"": `
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inIdx = round ( vec4 ( getBestIndicesAChannel ( $ { m . join ( ) } ) ,
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getBestIndicesAChannel ( $ { g . join ( ) } ) ,
getBestIndicesAChannel ( $ { y . join ( ) } ) ,
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getBestIndicesAChannel ( $ { A . join ( ) } ) ) ) ; ` ,v= ` vec4 (
getAChannel ( $ { m . join ( ) } ) ,
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hasNextCol ? getAChannel ( $ { g . join ( ) } ) : 0. ,
hasNextRow ? getAChannel ( $ { y . join ( ) } ) : 0. ,
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hasNextRow && hasNextCol ? getAChannel ( $ { A . join ( ) } ) : 0. ) ` ,w=r?"": `
float getBestIndicesAChannel ( $ { f . join ( ) } ) {
return getChannel ( getBestIndicesA ( $ { h . join ( ) } ) ,
vec2 ( $ { h . slice ( - 2 ) . join ( ) } ) ) ;
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} ` ;this.userCode= `
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float getAChannel ( $ { f . join ( ) } ) {
return getChannel ( getA ( $ { h . join ( ) } ) ,
vec2 ( $ { h . slice ( - 2 ) . join ( ) } ) ) ;
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}
$ { w }
void main ( ) {
$ { l } coords = getOutputCoords ( ) ;
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bool hasNextCol = $ { u [ i - 1 ] } < $ { o [ i - 1 ] - 1 } ;
bool hasNextRow = $ { u [ i - 2 ] } < $ { o [ i - 2 ] - 1 } ;
$ { c }
ivec4 srcIdx = ivec4 ( sourceLocR$ { p } , sourceLocG$ { p } ,
sourceLocB$ { p } , sourceLocA$ { p } ) * $ { t } ;
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ivec4 inIdx = srcIdx ;
vec4 bestIndex = vec4 ( inIdx ) ;
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vec4 bestValue = $ { v } ;
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for ( int i = 0 ; i < $ { t } ; i ++ ) {
inIdx = srcIdx ;
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$ { b }
vec4 candidate = $ { v } ;
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bvec4 nan = isnan ( candidate ) ;
bvec4 replace = bvec4 (
vec4 ( $ { x } ( candidate , bestValue ) ) * ( vec4 ( 1.0 ) - vec4 ( nan ) ) ) ;
bestValue = vec4 ( replace . x ? candidate . x : bestValue . x ,
replace . y ? candidate . y : bestValue . y ,
replace . z ? candidate . z : bestValue . z ,
replace . w ? candidate . w : bestValue . w ) ;
bestIndex = mix ( bestIndex , vec4 ( inIdx ) , vec4 ( replace ) ) ;
srcIdx ++ ;
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}
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setOutput ( bestIndex ) ;
}
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` }};function PE(e,t,n,r=null){let s=t.shape[0],a=t.shape[1];r!=null&&(s=r.shape[0],a=r.shape[1]);let o=R.computeOptimalWindowSize(a),i={windowSize:o,inSize:a,batchSize:s,outSize:Math.ceil(a/o)},l=new eme(i,n,r==null),u=[t];r!=null&&u.push(r);let c=e.runWebGLProgram(l,u,"int32");if(c.shape[1]===1)return c;let d=PE(e,t,n,c);return e.disposeIntermediateTensorInfo(c),d}function zE(e,t,n,r=null){let s=r!=null?r.shape:t.shape,a=s[s.length-1],o=R.computeOptimalWindowSize(a),i=new tme(s,o,n,r==null),l=r==null?[t]:[t,r],u=e.runWebGLProgram(i,l,"int32");if(u.shape.length===t.shape.length){let c=zE(e,t,n,u);return e.disposeIntermediateTensorInfo(u),c}return u}function LE(e,t,n,r){let s=[n];if(R.assertAxesAreInnerMostDims("arg"+r.charAt(0).toUpperCase()+r.slice(1),s,t.shape.length),!ae().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let a=[],[o,i]=R.computeOutAndReduceShapes(t.shape,s),l=k.sizeFromShape(i),u=ve({inputs:{x:t},backend:e,attrs:{shape:[-1,l]}});a.push(u);let c=PE(e,u,r);a.push(c);let d=ve({inputs:{x:c},backend:e,attrs:{shape:o}});return a.forEach(h=>e.disposeIntermediateTensorInfo(h)),d}return zE(e,t,r)}function nme(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{axis:a}=r,o=k.parseAxisParam(a,s.shape),i=R.getAxesPermutation(o,s.shape.length),l=s,u=[];i!=null&&(l=Un({inputs:{x:s},backend:n,attrs:{perm:i}}),u.push(l),o=R.getInnerMostAxes(o.length,l.shape.length)),R.assertAxesAreInnerMostDims("argMax",[o[0]],l.shape.length);let c=LE(n,l,o[0],"max");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),c}var rme={kernelName:Yi,backendName:"webgl",kernelFunc:nme};function sme(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{axis:a}=r,o=k.parseAxisParam(a,s.shape),i=R.getAxesPermutation(o,s.shape.length),l=s,u=[];i!=null&&(l=Un({inputs:{x:s},backend:n,attrs:{perm:i}}),u.push(l),o=R.getInnerMostAxes(o.length,l.shape.length)),R.assertAxesAreInnerMostDims("argMin",[o[0]],l.shape.length);let c=LE(n,l,o[0],"min");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),c}var ame={kernelName:qp,backendName:"webgl",kernelFunc:sme},ome=ys+ `
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if ( abs ( x ) > 1. ) {
return NAN ;
}
return asin ( x ) ;
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` ,ime=it({opSnippet:ome}),lme={kernelName:Ic,backendName:"webgl",kernelFunc:ime},ume=ys+"return log(x + sqrt(x * x + 1.0));",cme=it({opSnippet:ume}),dme={kernelName:Sc,backendName:"webgl",kernelFunc:cme},hme=ys+ `
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return atan ( x ) ;
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` ,pme=it({opSnippet:hme}),fme={kernelName:Tc,backendName:"webgl",kernelFunc:pme},mme=wfe+ `
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return atan ( a , b ) ;
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` ,gme= `
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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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` +kfe+ `
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return result ;
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` ,yme=Nn({opSnippet:mme,packedOpSnippet:gme}),Ame={kernelName:Cc,backendName:"webgl",kernelFunc:yme},xme=ys+ `
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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 ; ` ,bme=it({opSnippet:xme}),vme={kernelName:Nc,backendName:"webgl",kernelFunc:bme},ph=class{constructor(e,t,n,r=!1,s=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let a=e.filterWidth,o=e.strideHeight,i=e.strideWidth,l=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterHeight,d=e.effectiveFilterWidth,h=e.padInfo.top,p=e.padInfo.left;this.outputShape=e.outShape;let f=t==="avg",m= ` ( ( batch * $ { e . inHeight } + xR ) * $ { e . inWidth } + xC ) * $ { e . inChannels } + d ` ,g= ` ( xR * $ { e . inWidth } + xC ) * $ { e . inChannels } + d ` ,y="0.0";if(f||(y="-1.0 / 1e-20"),n){let S=">=";this.userCode= `
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const ivec2 strides = ivec2 ( $ { o } , $ { i } ) ;
const ivec2 pads = ivec2 ( $ { h } , $ { p } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
float minMaxValue = 0.0 ;
float minMaxValueFound = 0.0 ;
int minMaxPosition = 0 ;
float avgValue = 0.0 ;
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for ( int wR = 0 ; wR < $ { c } ;
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wR += $ { l } ) {
int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
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}
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for ( int wC = 0 ; wC < $ { d } ;
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wC += $ { u } ) {
int xC = xCCorner + wC ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
float value = getX ( batch , xR , xC , d ) ;
// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix (
value , minMaxValue , minMaxValueFound ) ;
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if ( value $ { S } currMinMaxValue ) {
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minMaxValue = value ;
minMaxValueFound = 1.0 ;
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minMaxPosition = $ { r ? s ? m : g : ` wR * ${ d } + 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 A="max",x= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="avg"&&(x="avgValue / count");let b=Math.floor(a/4)*4,v=a%4,w= `
if ( $ { f } ) {
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avgValue += dot ( values , ones ) ;
} else {
minMaxValue = $ { A } ( values , minMaxValue ) ;
}
` ;this.userCode= `
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const ivec2 strides = ivec2 ( $ { o } , $ { i } ) ;
const ivec2 pads = ivec2 ( $ { h } , $ { p } ) ;
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const float initializationValue = $ { y } ;
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
float count = 0.0 ;
float getValue ( int batch , int xR , int xC , int d ) {
if ( xC < 0 || xC >= $ { e . inWidth } ) {
return initializationValue ;
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}
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count += 1.0 ;
return getX ( batch , xR , xC , d ) ;
}
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
vec4 minMaxValue = vec4 ( $ { y } ) ;
float avgValue = 0.0 ;
count = 0.0 ;
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for ( int wR = 0 ; wR < $ { c } ;
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wR += $ { l } ) {
int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
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}
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for ( int wC = 0 ; wC < $ { b } ; wC += 4 ) {
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int xC = xCCorner + wC * $ { u } ;
vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
getValue ( batch , xR , xC + $ { u } , d ) ,
getValue ( batch , xR , xC + 2 * $ { u } , d ) ,
getValue ( batch , xR , xC + 3 * $ { u } , d )
) ;
$ { w }
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}
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int xC = xCCorner + $ { b } ;
if ( $ { v === 1 } ) {
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vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
$ { w }
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} else if ( $ { v === 2 } ) {
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vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
getValue ( batch , xR , xC + $ { u } , d ) ,
initializationValue ,
initializationValue
) ;
$ { w }
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} else if ( $ { v === 3 } ) {
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vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
getValue ( batch , xR , xC + $ { u } , d ) ,
getValue ( batch , xR , xC + 2 * $ { u } , d ) ,
initializationValue
) ;
$ { w }
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}
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}
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setOutput ( $ { x } ) ;
}
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` }},lb=class{constructor(e,t,n,r=!1,s=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let a=e.filterWidth,o=e.strideDepth,i=e.strideHeight,l=e.strideWidth,u=e.dilationDepth,c=e.dilationHeight,d=e.dilationWidth,h=e.effectiveFilterDepth,p=e.effectiveFilterHeight,f=e.effectiveFilterWidth,m=e.padInfo.front,g=e.padInfo.top,y=e.padInfo.left;this.outputShape=e.outShape;let A=t==="avg",x="0.0";if(A||(x="-1.0 / 1e-20"),n){let E=">=";this.userCode= `
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const ivec3 strides =
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ivec3 ( $ { o } , $ { i } , $ { l } ) ;
const ivec3 pads = ivec3 ( $ { m } , $ { g } , $ { y } ) ;
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
ivec3 xCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xDCorner = xCorner . x ;
int xRCorner = xCorner . y ;
int xCCorner = xCorner . z ;
// max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).
// ? = to be determined
float minMaxValue = 0.0 ;
float minMaxValueFound = 0.0 ;
int minMaxPosition = 0 ;
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for ( int wD = 0 ; wD < $ { h } ;
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wD += $ { u } ) {
int xD = xDCorner + wD ;
if ( xD < 0 || xD >= $ { e . inDepth } ) {
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continue ;
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}
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for ( int wR = 0 ; wR < $ { p } ;
wR += $ { c } ) {
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int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
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for ( int wC = 0 ; wC < $ { f } ;
wC += $ { d } ) {
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int xC = xCCorner + wC ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
float value = getX ( batch , xD , xR , xC , ch ) ;
// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix (
value , minMaxValue , minMaxValueFound ) ;
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if ( value $ { E } currMinMaxValue ) {
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minMaxValue = value ;
minMaxValueFound = 1.0 ;
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minMaxPosition = $ { r ? s ? ` (((batch * ${ e . inDepth } + xD) * ${ e . inHeight } + xR) * ${ e . inWidth } + xC) * ${ e . inChannels } + ch ` : ` ((xD * ${ e . inHeight } + xR) * ${ e . inWidth } + xC) * ${ e . inChannels } + ch ` : ` wD * ${ p } * ${ f } +
wR * $ { f } + wC ` };
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}
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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 w=Math.floor(a/4)*4,S=a%4,I= `
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if ( $ { A } ) {
avgValue += dot ( values , ones ) ;
} else {
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minMaxValue = $ { b } ( values , minMaxValue ) ;
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}
` ;this.userCode= `
const ivec3 strides =
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ivec3 ( $ { o } , $ { i } , $ { l } ) ;
const ivec3 pads = ivec3 ( $ { m } , $ { g } , $ { y } ) ;
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const float initializationValue = $ { x } ;
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
float count = 0.0 ;
float getValue ( int batch , int xD , int xR , int xC , int ch ) {
if ( xC < 0 || xC >= $ { e . inWidth } ) {
return initializationValue ;
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}
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count += 1.0 ;
return getX ( batch , xD , xR , xC , ch ) ;
}
void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
ivec3 xCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xDCorner = xCorner . x ;
int xRCorner = xCorner . y ;
int xCCorner = xCorner . z ;
// max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).
// ? = to be determined
vec4 minMaxValue = vec4 ( $ { x } ) ;
float avgValue = 0.0 ;
count = 0.0 ;
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for ( int wD = 0 ; wD < $ { h } ;
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wD += $ { u } ) {
int xD = xDCorner + wD ;
if ( xD < 0 || xD >= $ { e . inDepth } ) {
continue ;
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}
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for ( int wR = 0 ; wR < $ { p } ;
wR += $ { c } ) {
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int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
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}
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for ( int wC = 0 ; wC < $ { w } ; wC += 4 ) {
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int xC = xCCorner + wC * $ { d } ;
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
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getValue ( batch , xD , xR , xC + $ { d } , ch ) ,
getValue ( batch , xD , xR , xC + 2 * $ { d } , ch ) ,
getValue ( batch , xD , xR , xC + 3 * $ { d } , ch )
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) ;
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$ { I }
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}
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int xC = xCCorner + $ { w } ;
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if ( $ { S === 1 } ) {
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
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$ { I }
} else if ( $ { S === 2 } ) {
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
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getValue ( batch , xD , xR , xC + $ { d } , ch ) ,
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initializationValue ,
initializationValue
) ;
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$ { I }
} else if ( $ { S === 3 } ) {
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
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getValue ( batch , xD , xR , xC + $ { d } , ch ) ,
getValue ( batch , xD , xR , xC + 2 * $ { d } , ch ) ,
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initializationValue
) ;
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$ { I }
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}
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}
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setOutput ( $ { v } ) ;
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}
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}
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` }};function wme(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t;mu(s,"avgPool");let{filterSize:a,strides:o,pad:i,dimRoundingMode:l}=r,u=1;k.assert(R.eitherStridesOrDilationsAreOne(o,u),()=> ` Error in avgPool : Either strides or dilations must be 1. Got strides $ { o } and dilations '${u}' ` );let c=R.computePool2DInfo(s.shape,a,o,u,i,l);if(c.filterWidth===1&&c.filterHeight===1&&k.arraysEqual(c.inShape,c.outShape))return gr({inputs:{x:s},backend:n});let d=new ph(c,"avg",!1);return n.runWebGLProgram(d,[s],"float32")}var kme={kernelName:Ji,backendName:"webgl",kernelFunc:wme};function Ime(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{filterSize:a,strides:o,pad:i,dimRoundingMode:l,dataFormat:u}=r,c=[1,1,1],d=R.computePool3DInfo(s.shape,a,o,c,i,l,u),h=new lb(d,"avg",!1);return n.runWebGLProgram(h,[s],"float32")}var Sme={kernelName:Kp,backendName:"webgl",kernelFunc:Ime},Tme=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,s=e.strideWidth,a=e.dilationHeight,o=e.dilationWidth,i=e.effectiveFilterHeight,l=e.effectiveFilterWidth,u=i-1-e.padInfo.top,c=l-1-e.padInfo.left,d=1/(t*n);this.userCode= `
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const ivec2 pads = ivec2 ( $ { u } , $ { c } ) ;
const float avgMultiplier = float ( $ { d } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 dyRCCorner = coords . yz - pads ;
int dyRCorner = dyRCCorner . x ;
int dyCCorner = dyRCCorner . y ;
// Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
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for ( int wR = 0 ; wR < $ { i } ;
wR += $ { a } ) {
float dyR = float ( dyRCorner + wR ) / $ { r } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
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}
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int idyR = int ( dyR ) ;
for ( int wC = 0 ; wC < $ { l } ;
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wC += $ { o } ) {
float dyC = float ( dyCCorner + wC ) / $ { s } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
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}
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int idyC = int ( dyC ) ;
float dyValue = getDy ( b , idyR , idyC , d ) ;
dotProd += dyValue * avgMultiplier ;
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}
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}
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setOutput ( dotProd ) ;
}
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` }},Nme=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,s=e.strideDepth,a=e.strideHeight,o=e.strideWidth,i=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,d=e.effectiveFilterHeight,h=e.effectiveFilterWidth,p=c-1-e.padInfo.front,f=d-1-e.padInfo.top,m=h-1-e.padInfo.left,g=1/(t*n*r);this.userCode= `
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const ivec3 pads = ivec3 ( $ { p } , $ { f } , $ { m } ) ;
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const float avgMultiplier = float ( $ { g } ) ;
void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
int dyDCorner = dyCorner . x ;
int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
// Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get
// dx(xD, xR, xC, ch).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
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for ( int wD = 0 ; wD < $ { c } ;
wD += $ { i } ) {
float dyD = float ( dyDCorner + wD ) / $ { s } . 0 ;
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if ( dyD < 0.0 || dyD >= $ { e . outDepth } . 0 || fract ( dyD ) > 0.0 ) {
continue ;
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}
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int idyD = int ( dyD ) ;
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for ( int wR = 0 ; wR < $ { d } ;
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wR += $ { l } ) {
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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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for ( int wC = 0 ; wC < $ { h } ;
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wC += $ { u } ) {
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float dyC = float ( dyCCorner + wC ) / $ { o } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
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}
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int idyC = int ( dyC ) ;
float dyValue = getDy ( batch , idyD , idyR , idyC , ch ) ;
dotProd += dyValue * avgMultiplier ;
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}
}
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}
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setOutput ( dotProd ) ;
}
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` }};function Cme(e){let{inputs:t,backend:n,attrs:r}=e,{dy:s,input:a}=t,o=a,{filterSize:i,strides:l,pad:u,dimRoundingMode:c}=r,d=[1,1,1],h=R.computePool3DInfo(o.shape,i,l,d,u,c),p=new Nme(h);return n.runWebGLProgram(p,[s],o.dtype)}var Eme={kernelName:wy,backendName:"webgl",kernelFunc:Cme};function $ me(e){let{inputs:t,backend:n,attrs:r}=e,{dy:s,input:a}=t,o=a;mu([s,a],"avgPoolGrad");let{filterSize:i,strides:l,pad:u}=r,c=R.computePool2DInfo(o.shape,i,l,1,u),d=new Tme(c);return n.runWebGLProgram(d,[s],o.dtype)}var _me={kernelName:vy,backendName:"webgl",kernelFunc: $ me};function Rme(e){let{inputs:t,backend:n,attrs:r}=e,{a:s,b:a}=t,{transposeA:o,transposeB:i}=r;return Km({a:s,b:a,transposeA:o,transposeB:i,backend:n})}var Dme={kernelName:Qi,backendName:"webgl",kernelFunc:Rme},Fme=class{constructor(e,t,n,r,s,a){this.outputShape=[],this.variableNames=["x","mean","variance"],R.assertAndGetBroadcastShape(e,t),R.assertAndGetBroadcastShape(e,n);let o="0.0";r!=null&&(R.assertAndGetBroadcastShape(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");let i="1.0";s!=null&&(R.assertAndGetBroadcastShape(e,s),this.variableNames.push("scale"),i="getScaleAtOutCoords()"),this.outputShape=e,this.userCode= `
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void main ( ) {
float x = getXAtOutCoords ( ) ;
float mean = getMeanAtOutCoords ( ) ;
float variance = getVarianceAtOutCoords ( ) ;
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float offset = $ { o } ;
float scale = $ { i } ;
float inv = scale * inversesqrt ( variance + float ( $ { a } ) ) ;
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setOutput ( dot ( vec3 ( x , - mean , offset ) , vec3 ( inv , inv , 1 ) ) ) ;
}
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` }},Mme=class{constructor(e,t,n,r,s,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],R.assertAndGetBroadcastShape(e,t),R.assertAndGetBroadcastShape(e,n);let o="vec4(0.0)";r!=null&&(R.assertAndGetBroadcastShape(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");let i="vec4(1.0)";s!=null&&(R.assertAndGetBroadcastShape(e,s),this.variableNames.push("scale"),i="getScaleAtOutCoords()"),this.outputShape=e,this.userCode= `
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void main ( ) {
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vec4 offset = $ { o } ;
vec4 scale = $ { i } ;
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vec4 x = getXAtOutCoords ( ) ;
vec4 mean = getMeanAtOutCoords ( ) ;
vec4 variance = getVarianceAtOutCoords ( ) ;
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vec4 inv = scale * inversesqrt ( variance + vec4 ( $ { a } ) ) ;
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setOutput ( ( x - mean ) * inv + offset ) ;
}
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` }},Ome=({inputs:e,backend:t,attrs:n})=>{let{x:r,mean:s,variance:a,offset:o,scale:i}=e;k.assert(s.shape.length===a.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),k.assert(o==null||s.shape.length===o.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),k.assert(i==null||s.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:l}=n;l==null&&(l=.001);let u=[r,s,a],c=null;o!=null&&(c=o.shape,u.push(o));let d=null;i!=null&&(d=i.shape,u.push(i));let h=ae().getBool("WEBGL_PACK_NORMALIZATION")?new Mme(r.shape,s.shape,a.shape,c,d,l):new Fme(r.shape,s.shape,a.shape,c,d,l);return t.runWebGLProgram(h,u,u[0].dtype)},Pme={kernelName:cl,backendName:"webgl",kernelFunc:Ome},zme=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=It(this.rank),n= ` uniform int start [ $ { this . rank } ] ; ` ,r=Lme(this.rank),s,a=e.map((o,i)=> ` sourceLoc . $ { ub [ i ] } = start [ $ { i } ] + coords . $ { ub [ i ] } ; ` );s= `
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$ { t } sourceLoc ;
$ { t } coords = getOutputCoords ( ) ;
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$ { a . join ( `
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` )}
` ,this.userCode= `
$ { n }
void main ( ) {
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$ { s }
setOutput ( getSource ( $ { r } ) ) ;
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}
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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)}}},ub=["x","y","z","w","u","v"];function Lme(e){if(e===1)return"sourceLoc";if(e<=6)return ub.slice(0,e).map(t=>"sourceLoc."+t).join(",");throw Error( ` Slicing for rank $ { e } is not yet supported ` )}var Bme=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length;let t=It(this.rank),n=Vn("coords",this.rank),r=Vn("sourceLoc",this.rank),s=this.rank===1?"sourceLoc": ` vec2 ( $ { r . slice ( - 2 ) . join ( ) } ) ` ,a= ` getChannel ( getSource ( $ { r . join ( ) } ) , $ { s } ) ` ,o= `
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result . x = $ { a } ;
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if ( ++ $ { n [ this . rank - 1 ] } < $ { e [ this . rank - 1 ] } ) {
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++ $ { r [ this . rank - 1 ] } ;
result . y = $ { a } ;
-- $ { r [ this . rank - 1 ] } ;
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}
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` ,i=this.rank===1?"": `
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-- $ { n [ this . rank - 1 ] } ;
if ( ++ $ { n [ this . rank - 2 ] } < $ { e [ this . rank - 2 ] } ) {
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++ $ { r [ this . rank - 2 ] } ;
result . z = $ { a } ;
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if ( ++ $ { n [ this . rank - 1 ] } < $ { e [ this . rank - 1 ] } ) {
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++ $ { r [ this . rank - 1 ] } ;
result . w = $ { a } ;
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}
}
` ,l=this.rank<=4? ` sourceLoc = coords +
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$ { t } ( $ { e . map ( ( u , c ) => ` start[ ${ c } ] ` ) . join ( ) } ) ; ` :e.map((u,c)=> ` $ { r [ c ] } = $ { n [ c ] } + start [ $ { c } ] ; ` ).join( `
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` );this.userCode= `
uniform int start [ $ { this . rank } ] ;
void main ( ) {
$ { t } coords = getOutputCoords ( ) ;
$ { t } sourceLoc ;
$ { l }
vec4 result = vec4 ( 0. ) ;
$ { o }
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$ { i }
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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 Wme(e,t,n,r){let s=r.texData.get(e.dataId),a=r.makeTensorInfo(n,e.dtype),o=r.texData.get(a.dataId);Object.assign(o,s),o.refCount=1,o.shape=n,o.dtype=e.dtype;let i=En.computeFlatOffset(t,k.computeStrides(e.shape));s.slice&&(i+=s.slice.flatOffset),o.slice={flatOffset:i,origDataId:s.slice&&s.slice.origDataId||e.dataId};let l=r.dataRefCount.get(o.slice.origDataId)||1;return r.dataRefCount.set(o.slice.origDataId,l+1),a}function fh(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{begin:a,size:o}=r,[i,l]=En.parseSliceParams(s,a,o);if(En.assertParamsValid(s,i,l),k.sizeFromShape(l)===0)return n.makeTensorInfo(l,s.dtype,[]);if(n.shouldExecuteOnCPU([s])||s.dtype==="string"){let d=n.texData.get(s.dataId),h=Npe(d.values,i,l,s.shape,s.dtype);return n.makeTensorInfo(l,s.dtype,h)}let{isPacked:u}=n.texData.get(s.dataId),c=En.isSliceContinous(s.shape,i,l);if(u||!c){let d=ae().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Bme(l):new zme(l),h=d.getCustomSetupFunc(i);return n.runWebGLProgram(d,[s],s.dtype,h)}return n.uploadToGPU(s.dataId),Wme(s,i,l,n)}var Vme={kernelName:rd,backendName:"webgl",kernelFunc:fh},Ume=e=>{let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{blockShape:a,crops:o}=r;k.assert(s.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let i=a.reduce((A,x)=>A*x),l=R.getReshaped(s.shape,a,i),u=R.getPermuted(l.length,a.length),c=R.getReshapedPermuted(s.shape,a,i),d=R.getSliceBeginCoords(o,a.length),h=R.getSliceSize(c,o,a.length),p=[],f=ve({inputs:{x:s},backend:n,attrs:{shape:l}}),m=Un({inputs:{x:f},backend:n,attrs:{perm:u}}),g=ve({inputs:{x:m},backend:n,attrs:{shape:c}}),y=fh({inputs:{x:g},backend:n,attrs:{begin:d,size:h}});return p.push(f),p.push(m),p.push(g),p.forEach(A=>n.disposeIntermediateTensorInfo(A)),y},Hme={kernelName:Xp,backendName:"webgl",kernelFunc:Ume};function Gme(e){let{inputs:t,backend:n,attrs:r}=e,{x:s,weights:a}=t,{size:o}=r,i=n.readSync(s.dataId),l=n.readSync(a.dataId),u=hE(i,l,a.dtype,a.shape,o);return n.makeTensorInfo([o],a.dtype,u)}var jme={kernelName:ky,backendName:"webgl",kernelFunc:Gme},qme="return float(a != b);",BE=Nn({opSnippet:qme,cpuKernelImpl:kpe,dtype:"bool"}),Kme={kernelName:vl,backendName:"webgl",kernelFunc:BE};function mh(e){let{inputs:t,backend:n}=e,{input:r}=t,s=n.texData.get(r.dataId);return gr({inputs:{x:s.complexTensorInfos.real},backend:n})}var Xme={kernelName:Gy,backendName:"webgl",kernelFunc:mh},Zme="return float(int(x));";function Yme(e,t){let n=new Qa(e.shape,Zme),r=t.runWebGLProgram(n,[e],"int32");return{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}function cb(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{dtype:a}=r;if(a==="complex64"){if(s.dtype==="complex64")return gr({inputs:{x:s},backend:n});let o=un(s.shape),i=cb({inputs:{x:s},backend:n,attrs:{dtype:"float32"}}),l=eo({inputs:{real:i,imag:o},backend:n});return o.dispose(),n.disposeIntermediateTensorInfo(i),l}if(s.dtype==="complex64"){let o=mh({inputs:{input:s},backend:n}),i=cb({inputs:{x:o},backend:n,attrs:{dtype:a}});return n.disposeIntermediateTensorInfo(o),i}if(!k.hasEncodingLoss(s.dtype,a)){let o=gr({inputs:{x:s},backend:n});return{dataId:o.dataId,shape:o.shape,dtype:a}}if(a==="int32")return Yme(s,n);if(a==="bool"){let o=n.makeTensorInfo([],"bool",k.getTypedArrayFromDType("bool",1)),l=BE({inputs:{a:s,b:o},backend:n});return n.disposeIntermediateTensorInfo(o),l}throw new Error( ` Error in Cast : failed to cast $ { s . dtype } to $ { a } ` )}var Jme={kernelName:el,backendName:"webgl",kernelFunc:cb},WE="return ceil(x);",Qme=it({opSnippet:WE,packedOpSnippet:WE,cpuKernelImpl:spe}),e0e={kernelName:No,backendName:"webgl",kernelFunc:Qme},t0e=class{constructor(e){this.variableNames=["A"],this.outputShape=e,this.userCode= `
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uniform float minVal ;
uniform float maxVal ;
void main ( ) {
float value = getAAtOutCoords ( ) ;
if ( isnan ( value ) ) {
setOutput ( value ) ;
return ;
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}
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setOutput ( clamp ( value , minVal , maxVal ) ) ;
}
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` }getCustomSetupFunc(e,t){return(n,r)=>{this.minLoc==null&&(this.minLoc=n.getUniformLocationNoThrow(r,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(r,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}},n0e=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode= `
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uniform float minVal ;
uniform float maxVal ;
void main ( ) {
vec4 value = getAAtOutCoords ( ) ;
if ( any ( isnan ( value ) ) ) {
setOutput ( value ) ;
return ;
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}
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setOutput ( clamp ( value , vec4 ( minVal ) , vec4 ( maxVal ) ) ) ;
}
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` }getCustomSetupFunc(e,t){return(n,r)=>{this.minLoc==null&&(this.minLoc=n.getUniformLocationNoThrow(r,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(r,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}};function r0e(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{clipValueMin:a,clipValueMax:o}=r,i;ae().getBool("WEBGL_PACK_CLIP")?i=new n0e(s.shape):i=new t0e(s.shape);let l=i.getCustomSetupFunc(a,o);return n.runWebGLProgram(i,[s],s.dtype,l)}var s0e={kernelName:Co,backendName:"webgl",kernelFunc:r0e},a0e=class{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode= `
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void main ( ) {
float re = abs ( getRealAtOutCoords ( ) ) ;
float im = abs ( getImagAtOutCoords ( ) ) ;
float mx = max ( re , im ) ;
// sadly the length function in glsl is not underflow-safe
// (at least not on Intel GPUs). So the safe solution is
// to ensure underflow-safety in all cases.
setOutput (
mx == 0.0 ? 0.0 : mx * length ( vec2 ( 1 , min ( re , im ) / mx ) )
) ;
}
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` }};function VE(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}function o0e(e){let{inputs:t,backend:n}=e,{x:r}=t,s=n.texData.get(r.dataId),a=new a0e(r.shape),o=[VE(r,s.complexTensorInfos.real),VE(r,s.complexTensorInfos.imag)];return n.runWebGLProgram(a,o,o[0].dtype)}var i0e={kernelName:Zp,backendName:"webgl",kernelFunc:o0e},l0e=class{constructor(e){this.outputShape=[],this.outputShape=R.computeOutShape(e,1),this.variableNames=e.map((a,o)=> ` T$ { o } ` );let t=new Array(e.length-1);t[0]=e[0][1];for(let a=1;a<t.length;a++)t[a]=t[a-1]+e[a][1];let n=[ ` if ( yC < $ { t [ 0 ] } ) setOutput ( getT0 ( yR , yC ) ) ; ` ];for(let a=1;a<t.length;a++){let o=t[a-1];n.push( ` else if ( yC < $ { t [ a ] } ) setOutput ( getT$ { a } ( yR , yC - $ { o } ) ) ; ` )}let r=t.length,s=t[t.length-1];n.push( ` else setOutput ( getT$ { r } ( yR , yC - $ { s } ) ) ; ` ),this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int yR = coords . x ;
int yC = coords . y ;
$ { n . join ( `
` )}
}
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` }},u0e=class{constructor(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=R.computeOutShape(e,t);let n=this.outputShape,r=n.length,s=It(r),a=Vn("coords",r),o=["x","y","z","w","u","v"].slice(0,r);this.variableNames=e.map((f,m)=> ` T$ { m } ` );let i=new Array(e.length-1);i[0]=e[0][t];for(let f=1;f<i.length;f++)i[f]=i[f-1]+e[f][t];let l=o[t],u=o.slice(-2),c=o.join(),d= ` if ( $ { l } < $ { i [ 0 ] } ) {
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return getChannel (
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getT0 ( $ { c } ) , vec2 ( $ { u . join ( ) } ) ) ;
} ` ;for(let f=1;f<i.length;f++){let m=i[f-1];d+= `
if ( $ { l } < $ { i [ f ] } && $ { l } >= $ { i [ f - 1 ] } ) {
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return getChannel (
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getT$ { f } ( $ { Zm ( o , l , m ) } ) ,
vec2 ( $ { Zm ( u , l , m ) } ) ) ;
} ` }let h=i.length,p=i[i.length-1];d+= `
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return getChannel (
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getT$ { h } ( $ { Zm ( o , l , p ) } ) ,
vec2 ( $ { Zm ( u , l , p ) } ) ) ; ` ,this.userCode= `
float getValue ( $ { o . map ( f => "int " + f ) } ) {
$ { d }
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}
void main ( ) {
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$ { s } coords = getOutputCoords ( ) ;
vec4 result = vec4 ( getValue ( $ { a } ) , 0. , 0. , 0. ) ;
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$ { a [ r - 1 ] } = $ { a [ r - 1 ] } + 1 ;
if ( $ { a [ r - 1 ] } < $ { n [ r - 1 ] } ) {
result . g = getValue ( $ { a } ) ;
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}
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$ { a [ r - 2 ] } = $ { a [ r - 2 ] } + 1 ;
if ( $ { a [ r - 2 ] } < $ { n [ r - 2 ] } ) {
result . a = getValue ( $ { a } ) ;
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}
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$ { a [ r - 1 ] } = $ { a [ r - 1 ] } - 1 ;
if ( $ { a [ r - 2 ] } < $ { n [ r - 2 ] } &&
$ { a [ r - 1 ] } < $ { n [ r - 1 ] } ) {
result . b = getValue ( $ { a } ) ;
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}
setOutput ( result ) ;
}
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` }};function Zm(e,t,n){let r=e.indexOf(t);return e.map((a,o)=>o===r? ` $ { a } - $ { n } ` :a).join()}function Ym(e){let{inputs:t,backend:n}=e,{input:r}=t,s=n.texData.get(r.dataId);return gr({inputs:{x:s.complexTensorInfos.imag},backend:n})}var c0e={kernelName:zy,backendName:"webgl",kernelFunc:Ym};function Iu(e,t,n){let r=e[0].dtype;if(r==="complex64"){let c=e.map(m=>mh({inputs:{input:m},backend:n})),d=e.map(m=>Ym({inputs:{input:m},backend:n})),h=Iu(c,t,n),p=Iu(d,t,n),f=eo({inputs:{real:h,imag:p},backend:n});return c.forEach(m=>n.disposeIntermediateTensorInfo(m)),d.forEach(m=>n.disposeIntermediateTensorInfo(m)),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(p),f}let s=n.shouldExecuteOnCPU(e);if(r==="string"&&(s=!0),s){let c=e.map(y=>{let A=k.sizeFromShape(y.shape.slice(t));return ve({inputs:{x:y},backend:n,attrs:{shape:[-1,A]}})}),d=c.map(y=>({vals:n.readSync(y.dataId),shape:y.shape})),h=R.computeOutShape(c.map(y=>y.shape),1),p=c[0].shape[0]===1,f=ape(d,h,r,p),m=R.computeOutShape(e.map(y=>y.shape),t),g=n.makeTensorInfo(m,r,f);return c.forEach(y=>n.disposeIntermediateTensorInfo(y)),g}if(e.length>ae().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){let c=Math.floor(e.length/2),d=Iu(e.slice(0,c),t,n),h=Iu(e.slice(c),t,n),p=Iu([d,h],t,n);return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(h),p}if(ae().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].shape.length>1){let c=new u0e(e.map(d=>d.shape),t);return n.runWebGLProgram(c,e,r)}let{tensors2D:a,outShape:o}=d0e(e,t,n),i=new l0e(a.map(c=>c.shape)),l=n.runWebGLProgram(i,a,r);a.forEach(c=>n.disposeIntermediateTensorInfo(c));let u=ve({inputs:{x:l},attrs:{shape:o},backend:n});return n.disposeIntermediateTensorInfo(l),u}function d0e(e,t,n){let r=R.computeOutShape(e.map(a=>a.shape),t);return{tensors2D:e.map(a=>ve({inputs:{x:a},attrs:{shape:[-1,k.sizeFromShape(a.shape.slice(t))]},backend:n})),outShape:r}}function UE(e){let{inputs:t,backend:n,attrs:r}=e,{axis:s}=r,a=k.parseAxisParam(s,t[0].shape)[0],o=R.computeOutShape(t.map(u=>u.shape),a);if(k.sizeFromShape(o)===0)return n.makeTensorInfo(o,t[0].dtype,[]);let i=t.filter(u=>k.sizeFromShape(u.shape)>0);if(i.length===1)return gr({inputs:{x:i[0]},backend:n});let l=i.map(u=>u.shape);return R.assertParamsConsistent(l,a),Iu(i,a,n)}var h0e={kernelName:Ec,backendName:"webgl",kernelFunc:UE},HE=class{constructor(e,t=!1,n=null,r=!1,s=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let a=e.padInfo.top,o=e.padInfo.left,i=e.strideHeight,l=e.strideWidth,u=e.dilationHeight,c=e.dilationWidth,d=e.filterHeight,h=e.filterWidth,p=Math.floor(e.inChannels/4)*4,f=e.inChannels%4,m=e.dataFormat==="channelsLast",g=m?1:2,y=m?2:3,A=m?3:1,x="",b="";n&&(r?x= ` float activation ( float a ) {
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float b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
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} ` :s?x= ` float activation ( float a ) {
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float b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
} ` :x= `
float activation ( float x ) {
$ { n }
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}
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` ,b="result = activation(result);");let v=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),s&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
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$ { x }
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const ivec2 strides = ivec2 ( $ { i } , $ { l } ) ;
const ivec2 pads = ivec2 ( $ { a } , $ { o } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d2 = coords [ $ { A } ] ;
ivec2 xRCCorner =
ivec2 ( coords [ $ { g } ] , coords [ $ { y } ] ) * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
// Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
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for ( int wR = 0 ; wR < $ { d } ; wR ++ ) {
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int xR = xRCorner + wR * $ { u } ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
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}
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for ( int wC = 0 ; wC < $ { h } ; wC ++ ) {
int xC = xCCorner + wC * $ { c } ;
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if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
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for ( int d1 = 0 ; d1 < $ { p } ; 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 ( $ { m } ) {
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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 ) ;
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} else {
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vec4 xValues = vec4 (
getX ( batch , d1 , xR , xC ) ,
getX ( batch , d1 + 1 , xR , xC ) ,
getX ( batch , d1 + 2 , xR , xC ) ,
getX ( batch , d1 + 3 , xR , xC )
) ;
dotProd += dot ( xValues , wValues ) ;
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}
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}
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if ( $ { f === 1 } ) {
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if ( $ { m } ) {
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dotProd +=
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getX ( batch , xR , xC , $ { p } ) *
getW ( wR , wC , $ { p } , d2 ) ;
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} else {
dotProd +=
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getX ( batch , $ { p } , xR , xC ) *
getW ( wR , wC , $ { p } , d2 ) ;
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}
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} else if ( $ { f === 2 } ) {
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vec2 wValues = vec2 (
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getW ( wR , wC , $ { p } , d2 ) ,
getW ( wR , wC , $ { p } + 1 , d2 )
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) ;
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if ( $ { m } ) {
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vec2 xValues = vec2 (
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getX ( batch , xR , xC , $ { p } ) ,
getX ( batch , xR , xC , $ { p } + 1 )
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) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec2 xValues = vec2 (
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getX ( batch , $ { p } , xR , xC ) ,
getX ( batch , $ { p } + 1 , xR , xC )
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) ;
dotProd += dot ( xValues , wValues ) ;
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}
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} else if ( $ { f === 3 } ) {
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vec3 wValues = vec3 (
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getW ( wR , wC , $ { p } , d2 ) ,
getW ( wR , wC , $ { p } + 1 , d2 ) ,
getW ( wR , wC , $ { p } + 2 , d2 )
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) ;
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if ( $ { m } ) {
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vec3 xValues = vec3 (
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getX ( batch , xR , xC , $ { p } ) ,
getX ( batch , xR , xC , $ { p } + 1 ) ,
getX ( batch , xR , xC , $ { p } + 2 )
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) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec3 xValues = vec3 (
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getX ( batch , $ { p } , xR , xC ) ,
getX ( batch , $ { p } + 1 , xR , xC ) ,
getX ( batch , $ { p } + 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 ;
$ { v }
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$ { b }
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setOutput ( result ) ;
}
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` }},p0e=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,n=e.padInfo.top,r=e.padInfo.left,s=e.strideDepth,a=e.strideHeight,o=e.strideWidth,i=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,c=e.filterDepth,d=e.filterHeight,h=e.filterWidth,p=Math.floor(e.inChannels/4)*4,f=e.inChannels%4;this.userCode= `
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const ivec3 strides = ivec3 ( $ { s } , $ { a } , $ { o } ) ;
const ivec3 pads = ivec3 ( $ { t } , $ { n } , $ { r } ) ;
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int d2 = coords . u ;
ivec3 xFRCCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xFCorner = xFRCCorner . x ;
int xRCorner = xFRCCorner . y ;
int xCCorner = xFRCCorner . z ;
// Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get
// y(yF, yR, yC, d2). ? = to be determined. : = across all
// values in that axis.
float dotProd = 0.0 ;
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for ( int wF = 0 ; wF < $ { c } ; wF ++ ) {
int xF = xFCorner + wF * $ { i } ;
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if ( xF < 0 || xF >= $ { e . inDepth } ) {
continue ;
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}
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for ( int wR = 0 ; wR < $ { d } ; wR ++ ) {
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int xR = xRCorner + wR * $ { l } ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
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}
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for ( int wC = 0 ; wC < $ { h } ; wC ++ ) {
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int xC = xCCorner + wC * $ { u } ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
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}
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for ( int d1 = 0 ; d1 < $ { p } ; 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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}
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if ( $ { f === 1 } ) {
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dotProd +=
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getX ( batch , xF , xR , xC , $ { p } ) *
getW ( wF , wR , wC , $ { p } , d2 ) ;
} else if ( $ { f === 2 } ) {
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vec2 xValues = vec2 (
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getX ( batch , xF , xR , xC , $ { p } ) ,
getX ( batch , xF , xR , xC , $ { p } + 1 )
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) ;
vec2 wValues = vec2 (
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getW ( wF , wR , wC , $ { p } , d2 ) ,
getW ( wF , wR , wC , $ { p } + 1 , d2 )
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) ;
dotProd += dot ( xValues , wValues ) ;
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} else if ( $ { f === 3 } ) {
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vec3 xValues = vec3 (
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getX ( batch , xF , xR , xC , $ { p } ) ,
getX ( batch , xF , xR , xC , $ { p } + 1 ) ,
getX ( batch , xF , xR , xC , $ { p } + 2 )
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) ;
vec3 wValues = vec3 (
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getW ( wF , wR , wC , $ { p } , d2 ) ,
getW ( wF , wR , wC , $ { p } + 1 , d2 ) ,
getW ( wF , wR , wC , $ { p } + 2 , d2 )
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) ;
dotProd += dot ( xValues , wValues ) ;
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}
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}
}
}
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setOutput ( dotProd ) ;
}
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` }},f0e=class{constructor(e,t,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let{filterWidth:r,inChannels:s,strideWidth:a,strideHeight:o,padInfo:i,outWidth:l,dilationWidth:u,dilationHeight:c,dataFormat:d}=n,{left:h,top:p}=i,f=s*r,m=Wn(),g=d==="channelsLast",y=g?0:1,A=g?1:2,x="";for(let b=0;b<=1;b++)for(let v=0;v<=1;v++)x+= `
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blockIndex = rc . y + $ { v } ;
pos = rc . x + $ { b } ;
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if ( blockIndex < $ { e [ 1 ] } && pos < $ { e [ 0 ] } ) {
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offsetY = int ( blockIndex / ( $ { l } ) ) * $ { o } - $ { p } ;
d0 = offsetY + $ { c } * ( pos / $ { f } ) ;
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if ( d0 < $ { t [ y ] } && d0 >= 0 ) {
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offsetX = int ( mod ( float ( blockIndex ) , $ { l } . ) * $ { a } . - $ { h } . ) ;
d1 = offsetX + $ { u } * ( int ( mod ( float ( pos ) , $ { f } . ) / $ { s } . ) ) ;
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if ( d1 < $ { t [ A ] } && d1 >= 0 ) {
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ch = int ( mod ( float ( pos ) , $ { s } . ) ) ;
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if ( $ { g } ) {
innerDims = vec2 ( d1 , ch ) ;
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result [ $ { b * 2 + v } ] = getChannel (
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getA ( d0 , int ( innerDims . x ) ,
int ( innerDims . y ) ) , innerDims ) ;
} else {
innerDims = vec2 ( d0 , d1 ) ;
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result [ $ { b * 2 + v } ] = getChannel (
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getA ( ch , int ( innerDims . x ) ,
int ( innerDims . y ) ) , innerDims ) ;
}
}
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}
}
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` ;this.userCode= `
void main ( ) {
ivec2 rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0 ) ;
int blockIndex , pos , offsetY , d0 , offsetX , d1 , ch ;
vec2 innerDims ;
$ { x }
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$ { m . output } = result ;
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}
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` }};function GE({x:e,filter:t,convInfo:n,backend:r,bias:s=null,preluActivationWeights:a=null,leakyreluAlpha:o=0,activation:i=null}){let l=e.shape,u=r.texData.get(e.dataId),c=n.inChannels,d=l[0]*l[1]*l[2],h=n.outChannels,p=n.dataFormat==="channelsLast",f=!1,m=!1,g,y=[],A=(d===1||h===1)&&c>FE,x=l[2]%2!=0&&!!u.isPacked;if(A||!ae().getBool("WEBGL_LAZILY_UNPACK")||!ae().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!x){let b=p?l[0]*l[1]*l[2]:l[0]*l[2]*l[3],v=ve({inputs:{x:e},backend:r,attrs:{shape:[1,b,n.inChannels]}}),w=ve({inputs:{x:t},backend:r,attrs:{shape:[1,n.inChannels,n.outChannels]}}),S=Km({a:v,b:w,transposeA:f,transposeB:m,backend:r,bias:s,activation:i,preluActivationWeights:a,leakyreluAlpha:o});g=ve({inputs:{x:S},backend:r,attrs:{shape:n.outShape}}),y.push(v),y.push(w),y.push(S)}else{let b=p?l[0]*l[1]*(l[2]+1):l[0]*l[2]*(l[3]+1),v={dataId:e.dataId,shape:[1,b,n.inChannels],dtype:e.dtype},w=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,k.assert(uh(u.shape,v.shape),()=> ` packed reshape $ { u . shape } to $ { v . shape } isn ' t free ` );let S=ve({inputs:{x:t},backend:r,attrs:{shape:[1,n.inChannels,n.outChannels]}});y.push(S);let I=Km({a:v,b:S,backend:r,transposeA:f,transposeB:m,bias:s,activation:i,preluActivationWeights:a,leakyreluAlpha:o}),E=r.texData.get(I.dataId);k.assert(E.isPacked,()=>"batchMatMul result is expected to be packed"),u.shape=w,E.shape=n.outShape,g=gr({inputs:{x:I},backend:r}),g.shape=n.outShape,y.push(I)}for(let b of y)r.disposeIntermediateTensorInfo(b);return g}function jE({x:e,filter:t,convInfo:n,backend:r,bias:s=null,preluActivationWeights:a=null,leakyreluAlpha:o=0,activation:i=null}){let{filterWidth:l,filterHeight:u,inChannels:c,outWidth:d,outHeight:h,dataFormat:p}=n,f=p==="channelsLast",m=l*u*c,g=h*d,y=[m,g],A=!0,x=!1,b=[],v=ve({inputs:{x:e},backend:r,attrs:{shape:e.shape.slice(1)}}),w=ve({inputs:{x:t},backend:r,attrs:{shape:[1,m,k.sizeFromShape(t.shape)/m]}});b.push(v),b.push(w);let S=new f0e(y,v.shape,n),I=r.runWebGLProgram(S,[v],"float32"),E=ve({inputs:{x:I},backend:r,attrs:{shape:[1,y[0],y[1]]}});b.push(I),b.push(E);let F=s!=null, $ =a!=null,_=i==="leakyrelu",N=i?Gm(i,!0):null,P=new EE(E.shape,w.shape,[1,g,n.outChannels],A,x,F,N, $ ,_),B=[E,w];if(s&&B.push(s), $ &&B.push(a),_){let ee=r.makeTensorInfo([],"float32",k.createScalarValue(o,"float32"));B.push(ee),b.push(ee)}let j=r.runWebGLProgram(P,B,"float32"),X=f?[1,h,d,n.outChannels]:[1,n.outChannels,h,d],Y=ve({inputs:{x:j},backend:r,attrs:{shape:X}});b.push(j);for(let ee of b)r.disposeIntermediateTensorInfo(ee);return Y}function m0e(e){let{inputs:t,backend:n,attrs:r}=e,{x:s,filter:a}=t,{strides:o,pad:i,dataFormat:l,dilations:u,dimRoundingMode:c}=r,d=R.convertConv2DDataFormat(l),h=R.computeConv2DInfo(s.shape,a.shape,o,u,i,c,!1,d),p;if(h.filterHeight===1&&h.filterWidth===1&&h.dilationHeight===1&&h.dilationWidth===1&&h.strideHeight===1&&h.strideWidth===1&&(h.padInfo.type==="SAME"||h.padInfo.type==="VALID"))p=GE({x:s,filter:a,convInfo:h,backend:n});else if(ae().getBool("WEBGL_CONV_IM2COL")&&s.shape[0]===1)p=jE({x:s,filter:a,convInfo:h,backend:n});else{let m=new HE(h);p=n.runWebGLProgram(m,[s,a],"float32")}let f=ve({inputs:{x:p},backend:n,attrs:{shape:h.outShape}});return n.disposeIntermediateTensorInfo(p),f}var g0e={kernelName:tl,backendName:"webgl",kernelFunc:m0e},y0e=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,s=e.padInfo.left,a=e.dataFormat==="channelsLast";this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int wR = coords . x ;
int wC = coords . y ;
int d1 = coords . z ;
int d2 = coords . w ;
// Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int b = 0 ; b < $ { e . batchSize } ; b ++ ) {
for ( int yR = 0 ; yR < $ { e . outHeight } ; yR ++ ) {
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int xR = wR + yR * $ { t } - $ { r } ;
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if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
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}
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for ( int yC = 0 ; yC < $ { e . outWidth } ; yC ++ ) {
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int xC = wC + yC * $ { n } - $ { s } ;
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if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
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if ( $ { a } ) {
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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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setOutput ( dotProd ) ;
}
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` }},A0e=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,s=e.strideWidth,a=e.dataFormat==="channelsLast",o=t-1-e.padInfo.top,i=n-1-e.padInfo.left,l=a?1:2,u=a?2:3,c=a?3:1;this.userCode= `
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const ivec2 pads = ivec2 ( $ { o } , $ { i } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
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int d1 = coords [ $ { c } ] ;
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ivec2 dyCorner = ivec2 ( coords [ $ { l } ] , coords [ $ { u } ] ) - pads ;
int dyRCorner = dyCorner . x ;
int dyCCorner = dyCorner . y ;
// Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { t } ; wR ++ ) {
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float dyR = float ( dyRCorner + wR ) / $ { r } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
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}
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int idyR = int ( dyR ) ;
int wRPerm = $ { t } - 1 - wR ;
for ( int wC = 0 ; wC < $ { n } ; wC ++ ) {
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float dyC = float ( dyCCorner + wC ) / $ { s } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
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}
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int idyC = int ( dyC ) ;
int wCPerm = $ { n } - 1 - wC ;
for ( int d2 = 0 ; d2 < $ { e . outChannels } ; d2 ++ ) {
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if ( $ { a } ) {
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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 ;
}
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}
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}
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}
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setOutput ( dotProd ) ;
}
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` }},x0e=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,s=e.padInfo.front,a=e.padInfo.top,o=e.padInfo.left;this.userCode= `
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int wF = coords . x ;
int wR = coords . y ;
int wC = coords . z ;
int d1 = coords . w ;
int d2 = coords . u ;
float dotProd = 0.0 ;
for ( int b = 0 ; b < $ { e . batchSize } ; b ++ ) {
for ( int yF = 0 ; yF < $ { e . outDepth } ; yF ++ ) {
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int xF = wF + yF * $ { t } - $ { s } ;
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if ( xF < 0 || xF >= $ { e . inDepth } ) {
continue ;
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}
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for ( int yR = 0 ; yR < $ { e . outHeight } ; yR ++ ) {
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int xR = wR + yR * $ { n } - $ { a } ;
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if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
for ( int yC = 0 ; yC < $ { e . outWidth } ; yC ++ ) {
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int xC = wC + yC * $ { r } - $ { o } ;
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if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
float dyValue = getDy ( b , yF , yR , yC , d2 ) ;
float xValue = getX ( b , xF , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
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}
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}
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}
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}
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setOutput ( dotProd ) ;
}
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` }},b0e=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,s=e.strideDepth,a=e.strideHeight,o=e.strideWidth,i=t-1-e.padInfo.front,l=n-1-e.padInfo.top,u=r-1-e.padInfo.left;this.userCode= `
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const ivec3 pads = ivec3 ( $ { i } , $ { l } , $ { u } ) ;
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int d1 = coords . u ;
ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
int dyFCorner = dyCorner . x ;
int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
float dotProd = 0.0 ;
for ( int wF = 0 ; wF < $ { t } ; wF ++ ) {
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float dyF = float ( dyFCorner + wF ) / $ { s } . 0 ;
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if ( dyF < 0.0 || dyF >= $ { e . outDepth } . 0 || fract ( dyF ) > 0.0 ) {
continue ;
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}
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int idyF = int ( dyF ) ;
int wFPerm = $ { t } - 1 - wF ;
for ( int wR = 0 ; wR < $ { n } ; wR ++ ) {
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float dyR = float ( dyRCorner + wR ) / $ { a } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
int wRPerm = $ { n } - 1 - wR ;
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for ( int wC = 0 ; wC < $ { r } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { o } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
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int wCPerm = $ { r } - 1 - wC ;
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for ( int d2 = 0 ; d2 < $ { e . outChannels } ; d2 ++ ) {
float xValue = getDy ( batch , idyF , idyR , idyC , d2 ) ;
float wValue = getW ( wFPerm , wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
}
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}
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}
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}
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setOutput ( dotProd ) ;
}
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` }};function v0e(e){let{inputs:t,backend:n,attrs:r}=e,{x:s,dy:a}=t,{strides:o,pad:i,dataFormat:l,dimRoundingMode:u,filterShape:c}=r,d=R.convertConv2DDataFormat(l),h=R.computeConv2DInfo(s.shape,c,o,1,i,u,!1,d),p=new y0e(h);return n.runWebGLProgram(p,[s,a],"float32")}var w0e={kernelName:Sy,backendName:"webgl",kernelFunc:v0e};function k0e(e){let{inputs:t,backend:n,attrs:r}=e,{dy:s,filter:a}=t,{inputShape:o,strides:i,pad:l,dataFormat:u,dimRoundingMode:c}=r,d=R.convertConv2DDataFormat(u),h=R.computeConv2DInfo(o,a.shape,i,1,l,c,!1,d),p=new A0e(h);return n.runWebGLProgram(p,[s,a],"float32")}var I0e={kernelName:nl,backendName:"webgl",kernelFunc:k0e};function S0e(e){let{inputs:t,backend:n,attrs:r}=e,{x:s,filter:a}=t,{strides:o,pad:i,dilations:l}=r,u=R.computeConv3DInfo(s.shape,a.shape,o,l,i),c=new p0e(u);return n.runWebGLProgram(c,[s,a],"float32")}var T0e={kernelName:Yp,backendName:"webgl",kernelFunc:S0e};function N0e(e){let{inputs:t,backend:n,attrs:r}=e,{x:s,dy:a}=t,{strides:o,pad:i,filterShape:l}=r,u=R.computeConv3DInfo(s.shape,l,o,1,i),c=new x0e(u);return n.runWebGLProgram(c,[s,a],"float32")}var C0e={kernelName:Ty,backendName:"webgl",kernelFunc:N0e};function E0e(e){let{inputs:t,backend:n,attrs:r}=e,{dy:s,filter:a}=t,{pad:o,strides:i,inputShape:l}=r,u=R.computeConv3DInfo(l,a.shape,i,1,o),c=new b0e(u);return n.runWebGLProgram(c,[s,a],"float32")}var $ 0e={kernelName:Ny,backendName:"webgl",kernelFunc:E0e},_0e=CE+ `
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return cos ( x ) ;
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` ,R0e=it({opSnippet:_0e}),D0e={kernelName:rl,backendName:"webgl",kernelFunc:R0e},F0e= `
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float e2x = exp ( - x ) ;
return ( e2x + 1.0 / e2x ) / 2.0 ;
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` ,M0e=it({opSnippet:F0e}),O0e={kernelName: $ c,backendName:"webgl",kernelFunc:M0e},P0e=class{constructor(e,t,n,r,s){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[a,o,i,l]=e,[u]=t,[c,d]=n;this.outputShape=[u,c,d,l];let h=r==="bilinear"?1:0,[p,f]=[ ` $ { o - 1 } . 0 ` , ` $ { i - 1 } . 0 ` ],[m,g,y]=c>1?[ ` $ { ( o - 1 ) / ( c - 1 ) } ` ,"(y2-y1) * height_ratio", ` y1 * $ { p } + float ( y ) * ( height _scale ) ` ]:["0.0","0.0", ` 0.5 * ( y1 + y2 ) * $ { p } ` ],[A,x,b]=d>1?[ ` $ { ( i - 1 ) / ( d - 1 ) } ` ,"(x2-x1) * width_ratio", ` x1 * $ { f } + float ( x ) * ( width _scale ) ` ]:["0.0","0.0", ` 0.5 * ( x1 + x2 ) * $ { f } ` ];this.userCode= `
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const float height _ratio = float ( $ { m } ) ;
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const float width _ratio = float ( $ { A } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int y = coords [ 1 ] ;
int x = coords [ 2 ] ;
int d = coords [ 3 ] ;
// get box vals
float y1 = getBoxes ( b , 0 ) ;
float x1 = getBoxes ( b , 1 ) ;
float y2 = getBoxes ( b , 2 ) ;
float x2 = getBoxes ( b , 3 ) ;
// get image in batch index
int bInd = round ( getBoxInd ( b ) ) ;
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if ( bInd < 0 || bInd >= $ { a } ) {
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return ;
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}
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float height _scale = $ { g } ;
float width _scale = $ { x } ;
float in _y = $ { y } ;
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if ( in _y < 0.0 || in _y > $ { p } ) {
setOutput ( float ( $ { s } ) ) ;
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return ;
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}
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float in _x = $ { b } ;
if ( in _x < 0.0 || in _x > $ { f } ) {
setOutput ( float ( $ { s } ) ) ;
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return ;
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}
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vec2 sourceFracIndexCR = vec2 ( in _x , in _y ) ;
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if ( $ { h } == 1 ) {
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// Compute the four integer indices.
ivec2 sourceFloorCR = ivec2 ( sourceFracIndexCR ) ;
ivec2 sourceCeilCR = ivec2 ( ceil ( sourceFracIndexCR ) ) ;
float topLeft = getImage ( b , sourceFloorCR . y , sourceFloorCR . x , d ) ;
float bottomLeft = getImage ( b , sourceCeilCR . y , sourceFloorCR . x , d ) ;
float topRight = getImage ( b , sourceFloorCR . y , sourceCeilCR . x , d ) ;
float bottomRight = getImage ( b , sourceCeilCR . y , sourceCeilCR . x , d ) ;
vec2 fracCR = sourceFracIndexCR - vec2 ( sourceFloorCR ) ;
float top = topLeft + ( topRight - topLeft ) * fracCR . x ;
float bottom = bottomLeft + ( bottomRight - bottomLeft ) * fracCR . x ;
float newValue = top + ( bottom - top ) * fracCR . y ;
setOutput ( newValue ) ;
} else {
// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestCR = ivec2 ( floor (
sourceFracIndexCR + vec2 ( 0.5 , 0.5 ) ) ) ;
float newValue = getImage ( b , sourceNearestCR . y , sourceNearestCR . x , d ) ;
setOutput ( newValue ) ;
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}
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}
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` }},z0e=e=>{let{inputs:t,backend:n,attrs:r}=e,{image:s,boxes:a,boxInd:o}=t,{cropSize:i,method:l,extrapolationValue:u}=r,c=new P0e(s.shape,a.shape,i,l,u);return n.runWebGLProgram(c,[s,a,o],"float32")},L0e={kernelName:_c,backendName:"webgl",kernelFunc:z0e},qE=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=e;let r=e.length,s=t?"0.0": ` getX ( $ { KE ( r , "coords" ) } ) ` ,a=e[e.length-1],o="",i="";t?(o=n? ` end != $ { a - 1 } ` :"end != 0",i=n?"end + 1":"end - 1"):(o=n? ` end + pow2 < $ { a } ` :"end >= pow2",i=n?"end + pow2":"end - pow2"),this.userCode= `
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uniform float index ;
void main ( ) {
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$ { It ( r ) } coords = getOutputCoords ( ) ;
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int end = $ { XE ( r , "coords" ) } ;
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float val = $ { s } ;
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int pow2 = int ( pow ( 2.0 , index ) ) ;
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if ( $ { o } ) {
int idx = $ { i } ;
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$ { XE ( r , "coords" ) } = idx ;
val += getX ( $ { KE ( r , "coords" ) } ) ;
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}
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setOutput ( val ) ;
}
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` }getCustomSetupFunc(e){return(t,n)=>{this.index==null&&(this.index=t.getUniformLocation(n,"index")),t.gl.uniform1f(this.index,e)}}};function KE(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 XE(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 B0e(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{axis:a,exclusive:o,reverse:i}=r,l=s.shape.length,u=R.getAxesPermutation([a],l),c=s;u!=null&&(c=Un({inputs:{x:s},backend:n,attrs:{perm:u}}));let d=R.getInnerMostAxes(1,l)[0];if(d!==l-1)throw new Error( ` WebGL cumsum shader expects an inner - most axis = $ { s . shape . length - 1 } but got axis = $ { a } ` );let h=c.shape[d],p=gr({inputs:{x:c},backend:n});for(let f=0;f<=Math.ceil(Math.log2(h))-1;f++){let m=new qE(c.shape,!1,i),g=m.getCustomSetupFunc(f),y=p;p=n.runWebGLProgram(m,[p],p.dtype,g),n.disposeIntermediateTensorInfo(y)}if(o){let f=new qE(c.shape,o,i),m=p;p=n.runWebGLProgram(f,[p],p.dtype),n.disposeIntermediateTensorInfo(m)}if(u!=null){let f=R.getUndoAxesPermutation(u),m=Un({inputs:{x:p},backend:n,attrs:{perm:f}});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(c),m}return p}var W0e={kernelName:sl,backendName:"webgl",kernelFunc:B0e};function V0e(e){let{inputs:t,backend:n,attrs:r}=e,{x:s,weights:a}=t,{size:o,binaryOutput:i}=r;if(s.shape.length===1){let l=n.readSync(s.dataId),u=n.readSync(a.dataId),c=hE(l,u,a.dtype,a.shape,o);return n.makeTensorInfo([o],a.dtype,c)}else if(s.shape.length===2){let l=n.bufferSync(s),u=n.bufferSync(a),c=rpe(l,u,o,i);return n.makeTensorInfo(c.shape,a.dtype,c.values)}throw new Error( ` Error in denseBincount : input must be at most rank 2 , but got rank$ { s . shape . length } . ` )}var U0e={kernelName:Cy,backendName:"webgl",kernelFunc:V0e},H0e=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int h = $ { this . getHeightCoordString ( ) } ;
int w = $ { this . getWidthCoordString ( ) } ;
int d = $ { this . getDepthCoordString ( ) } ;
int in _h = h / $ { t } ;
int offset _h = imod ( h , $ { t } ) ;
int in _w = w / $ { t } ;
int offset _w = imod ( w , $ { t } ) ;
int offset _d = ( offset _h * $ { t } + offset _w ) *
$ { this . getOutputDepthSize ( ) } ;
int in _d = d + offset _d ;
float result = $ { this . getInputSamplingString ( ) } ;
setOutput ( result ) ;
}
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` }getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function G0e(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{blockSize:a,dataFormat:o}=r;k.assert(a>1,()=> ` blockSize should be > 1 for depthToSpace , but was : $ { a } ` );let i=s.shape[0],l=o==="NHWC"?s.shape[1]:s.shape[2],u=o==="NHWC"?s.shape[2]:s.shape[3],c=o==="NHWC"?s.shape[3]:s.shape[1],d=l*a,h=u*a,p=c/(a*a),f=o==="NHWC"?[i,d,h,p]:[i,p,d,h],m=new H0e(f,a,o);return n.runWebGLProgram(m,[s],s.dtype)}var j0e={kernelName:Rc,backendName:"webgl",kernelFunc:G0e},ZE=class{constructor(e,t=!1,n=null,r=!1,s=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let a=e.inHeight,o=e.inWidth,i=e.padInfo.top,l=e.padInfo.left,u=e.strideHeight,c=e.strideWidth,d=e.dilationHeight,h=e.dilationWidth,p=e.filterHeight,f=e.filterWidth,m=e.outChannels/e.inChannels,g="",y="";n&&(r?g= ` float activation ( float a ) {
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float b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
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} ` :s?g= ` float activation ( float a ) {
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float b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
} ` :g= `
float activation ( float x ) {
$ { n }
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}
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` ,y="result = activation(result);");let A=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),s&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
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$ { g }
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const ivec2 strides = ivec2 ( $ { u } , $ { c } ) ;
const ivec2 pads = ivec2 ( $ { i } , $ { l } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords . x ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int d2 = coords . w ;
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int d1 = d2 / $ { m } ;
int q = d2 - d1 * $ { m } ;
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int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
// Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
// TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.
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for ( int wR = 0 ; wR < $ { p } ; wR ++ ) {
int xR = xRCorner + wR * $ { d } ;
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if ( xR < 0 || xR >= $ { a } ) {
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continue ;
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}
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for ( int wC = 0 ; wC < $ { f } ; wC ++ ) {
int xC = xCCorner + wC * $ { h } ;
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if ( xC < 0 || xC >= $ { o } ) {
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continue ;
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}
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float xVal = getX ( batch , xR , xC , d1 ) ;
float wVal = getW ( wR , wC , d1 , q ) ;
dotProd += xVal * wVal ;
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}
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}
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float result = dotProd ;
$ { A }
$ { y }
setOutput ( result ) ;
}
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` }},YE=class{constructor(e,t=!1,n=null,r=!1,s=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.outShape;let a=e.outChannels/e.inChannels,o=e.inHeight,i=e.inWidth,l=e.padInfo.top,u=e.padInfo.left,c=e.strideHeight,d=e.strideWidth,h=e.dilationHeight,p=e.dilationWidth,f=e.filterHeight,m=e.filterWidth,g=m,y= `
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int xR ; int xC ; int xCOffset ;
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vec4 wTexel ; vec4 previous ; vec4 final ; ` ;for(let v=0;v<m;v++)y+= `
vec4 xTexelC$ { v * 2 } ;
int xTexelC$ { v * 2 } Ready ;
vec4 xC$ { v } ; ` ;for(let v=0;v<f;v++){for(let w=0;w<m;w++)y+= `
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xTexelC$ { w * 2 } = vec4 ( 0.0 ) ;
xTexelC$ { w * 2 } Ready = 0 ;
xC$ { w } = vec4 ( 0.0 ) ; ` ;y+= `
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xR = xRCorner + $ { v * h } ;
if ( xR >= 0 && xR < $ { o } ) {
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` ;for(let w=0;w<(g+1)/2;w++){let S=w*2,I=S*p;if(y+= `
xC = xCCorner + $ { I } ;
` ,d===1){if(S<m&&(u%2==1?(y+= `
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xCOffset = xC + 1 ;
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if ( xCOffset >= 0 && xCOffset < $ { i } && xTexelC$ { I } Ready == 0 ) {
xTexelC$ { I } = 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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xTexelC$ { I } . zw = vec2 ( 0.0 ) ;
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}
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xTexelC$ { I } Ready = 1 ;
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}
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` ,p===1&&I>0?y+= `
xC$ { S } = vec4 ( xTexelC$ { I - 2 } . zw , xTexelC$ { I } . xy ) ;
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` :y+= `
xCOffset = xC + 1 - 2 ;
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if ( xCOffset >= 0 && xCOffset < $ { i } ) {
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previous = getX ( batch , xR , xCOffset , d1 ) ;
// 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 ( 0.0 ) ;
}
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xC$ { S } = vec4 ( previous . zw , xTexelC$ { I } . xy ) ;
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} else {
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xC$ { S } = vec4 ( 0.0 , 0.0 , xTexelC$ { I } . xy ) ;
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}
` ):y+= `
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if ( xC >= 0 && xC < $ { i } && xTexelC$ { I } Ready == 0 ) {
xTexelC$ { I } = getX ( batch , xR , xC , d1 ) ;
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if ( xC + 1 >= $ { i } ) {
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xTexelC$ { I } . zw = vec2 ( 0.0 ) ;
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}
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xTexelC$ { I } Ready = 1 ;
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}
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xC$ { S } = xTexelC$ { I } ;
` ,I+1<m)){let E=u%2==0?k.nearestLargerEven(p):p;p%2==0&&u%2==1||p%2!=0&&u%2!=1?(y+= `
xCOffset = xC + $ { u % 2 } + $ { E } ;
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if ( xCOffset >= 0 && xCOffset < $ { i } && xTexelC$ { I + 2 } Ready == 0 ) {
xTexelC$ { I + 2 } = 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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xTexelC$ { I + 2 } . zw = vec2 ( 0.0 ) ;
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}
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xTexelC$ { I + 2 } Ready = 1 ;
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}
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` ,p>1&&(y+= `
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xCOffset -= 2 ;
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if ( xCOffset >= 0 && xCOffset < $ { i } && xTexelC$ { I } Ready == 0 ) {
xTexelC$ { I } = getX ( batch , xR , xCOffset , d1 ) ;
xTexelC$ { I } Ready = 1 ;
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}
` ),y+= `
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xC$ { S + 1 } = vec4 ( xTexelC$ { I } . zw , xTexelC$ { I + 2 } . xy ) ;
` ):E===1?y+= `
xC$ { S + 1 } = xTexelC$ { I } ;
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` :y+= `
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xCOffset = xC + $ { E } ;
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if ( xCOffset >= 0 && xCOffset < $ { i } && xTexelC$ { I + 2 } Ready == 0 ) {
xTexelC$ { I + 2 } = getX ( batch , xR , xCOffset , d1 ) ;
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if ( xCOffset + 1 >= $ { i } ) {
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xTexelC$ { I + 2 } . zw = vec2 ( 0.0 ) ;
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}
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xTexelC$ { I + 2 } Ready = 1 ;
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}
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xC$ { S + 1 } = xTexelC$ { I + 2 } ;
` }}else I<m&&(u%2==1?(y+= `
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xCOffset = xC + 1 - $ { d } ;
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if ( xCOffset >= 0 && xCOffset < $ { i } && xTexelC$ { I } Ready == 0 ) {
xTexelC$ { I } = 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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xTexelC$ { I } . zw = vec2 ( 0.0 ) ;
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}
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xTexelC$ { I } Ready = 1 ;
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}
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if ( xC + 1 >= 0 && xC + 1 < $ { i } && xTexelC$ { I + 2 } Ready == 0 ) {
xTexelC$ { I + 2 } = getX ( batch , xR , xC + 1 , d1 ) ;
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// Need to manually clear unused channels in case
// we're reading from recycled texture.
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if ( xC + 2 >= $ { i } ) {
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xTexelC$ { I + 2 } . zw = vec2 ( 0.0 ) ;
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}
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xTexelC$ { I + 2 } Ready = 1 ;
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}
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xC$ { S } = vec4 ( xTexelC$ { I } . zw , xTexelC$ { I + 2 } . zw ) ;
` ,I+1<m&&(y+= `
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final = vec4 ( 0.0 ) ;
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xCOffset = xC + 1 + $ { d } ;
if ( xCOffset >= 0 && xCOffset < $ { i } ) {
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final = getX ( batch , xR , xCOffset , d1 ) ;
}
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xC$ { S + 1 } = vec4 ( xTexelC$ { I + 2 } . xy , final . xy ) ;
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` )):(y+= `
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if ( xC >= 0 && xC < $ { i } && xTexelC$ { I } Ready == 0 ) {
xTexelC$ { I } = getX ( batch , xR , xC , d1 ) ;
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if ( xC + 1 >= $ { i } ) {
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xTexelC$ { I } . zw = vec2 ( 0.0 ) ;
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}
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xTexelC$ { I } Ready = 1 ;
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}
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xCOffset = xC + $ { d } ;
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if ( xCOffset >= 0 && xCOffset < $ { i } && xTexelC$ { I + 2 } Ready == 0 ) {
xTexelC$ { I + 2 } = getX ( batch , xR , xCOffset , d1 ) ;
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if ( xCOffset + 1 >= $ { i } ) {
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xTexelC$ { I + 2 } . zw = vec2 ( 0. ) ;
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}
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xTexelC$ { I + 2 } Ready = 1 ;
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}
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xC$ { S } = vec4 (
xTexelC$ { I } . xy , xTexelC$ { I + 2 } . xy ) ;
` ,I+1<m&&(y+= `
xC$ { S + 1 } = vec4 ( xTexelC$ { I } . zw , xTexelC$ { I + 2 } . zw ) ;
` )));S<m&&(y+= `
wTexel = getW ( $ { v } , $ { I } , d1 , q ) ;
dotProd += xC$ { S } * vec4 ( wTexel . xz , wTexel . xz ) ;
` ,I+1<m&&(y+= `
wTexel = getW ( $ { v } , $ { I + 1 } , d1 , q ) ;
dotProd += xC$ { S + 1 } * vec4 ( wTexel . xz , wTexel . xz ) ;
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` ))}y+= `
}
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` }let A="",x="";n&&(r?A= ` vec4 activation ( vec4 a ) {
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vec4 b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
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} ` :s?A= ` vec4 activation ( vec4 a ) {
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vec4 b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
} ` :A= ` vec4 activation ( vec4 x ) {
$ { n }
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} ` ,x="result = activation(result);");let b=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),s&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
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$ { A }
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const ivec2 strides = ivec2 ( $ { c } , $ { d } ) ;
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const ivec2 pads = ivec2 ( $ { l } , $ { u } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords . x ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int d2 = coords . w ;
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int d1 = d2 / $ { a } ;
int q = d2 - d1 * $ { a } ;
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int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
//intialize dotProd with a small epsilon seems to reduce GPU accuracy loss.
vec4 dotProd = vec4 ( 0.000000000000001 ) ;
$ { y }
vec4 result = dotProd - vec4 ( 0.000000000000001 ) ;
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$ { b }
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$ { x }
setOutput ( result ) ;
}
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` }};function q0e(e){let{inputs:t,backend:n,attrs:r}=e,{x:s,filter:a}=t,{strides:o,pad:i,dilations:l,dimRoundingMode:u}=r,c=l;c==null&&(c=[1,1]),k.assert(R.eitherStridesOrDilationsAreOne(o,c),()=> ` Error in depthwiseConv2d : Either strides or dilations must be 1. Got strides $ { o } and dilations '${c}' ` );let d=R.computeConv2DInfo(s.shape,a.shape,o,c,i,u,!0),h;return ae().getBool("WEBGL_PACK_DEPTHWISECONV")&&d.strideWidth<=2&&d.outChannels/d.inChannels==1?h=new YE(d):h=new ZE(d),n.runWebGLProgram(h,[s,a],"float32")}var K0e={kernelName:al,backendName:"webgl",kernelFunc:q0e},X0e=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,s=e.padInfo.left,a=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 * $ { a } + dm ;
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float dotProd = 0.0 ;
// TO DO: Vec4 over the batch size
for ( int b = 0 ; b < $ { e . batchSize } ; b ++ ) {
for ( int yR = 0 ; yR < $ { e . outHeight } ; yR ++ ) {
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int xR = wR + yR * $ { t } - $ { r } ;
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if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
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}
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for ( int yC = 0 ; yC < $ { e . outWidth } ; yC ++ ) {
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int xC = wC + yC * $ { n } - $ { s } ;
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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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` }},Z0e=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,s=e.strideWidth,a=t-1-e.padInfo.top,o=n-1-e.padInfo.left,i=e.outChannels/e.inChannels;this.userCode= `
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const ivec2 pads = ivec2 ( $ { a } , $ { o } ) ;
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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 ;
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { t } ; wR ++ ) {
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float dyR = float ( dyRCorner + wR ) / $ { r } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
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}
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int idyR = int ( dyR ) ;
int wRPerm = $ { t } - 1 - wR ;
for ( int wC = 0 ; wC < $ { n } ; wC ++ ) {
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float dyC = float ( dyCCorner + wC ) / $ { s } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
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}
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int idyC = int ( dyC ) ;
int wCPerm = $ { n } - 1 - wC ;
// TO DO: Vec4 over the channelMul
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for ( int dm = 0 ; dm < $ { i } ; dm ++ ) {
int d2 = d1 * $ { i } + 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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` }};function Y0e(e){let{inputs:t,backend:n,attrs:r}=e,{x:s,dy:a}=t,{strides:o,dilations:i,pad:l,dimRoundingMode:u,filterShape:c}=r,d=R.computeConv2DInfo(s.shape,c,o,i,l,u,!0),h=new X0e(d);return n.runWebGLProgram(h,[s,a],"float32")}var J0e={kernelName:Ey,backendName:"webgl",kernelFunc:Y0e};function Q0e(e){let{inputs:t,backend:n,attrs:r}=e,{dy:s,filter:a}=t,{strides:o,dilations:i,pad:l,dimRoundingMode:u,inputShape:c}=r,d=R.computeConv2DInfo(c,a.shape,o,i,l,u,!0),h=new Z0e(d);return n.runWebGLProgram(h,[s,a],"float32")}var ege={kernelName: $ y,backendName:"webgl",kernelFunc:Q0e},tge=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
float val = coords [ 0 ] == coords [ 1 ] ? getX ( coords [ 0 ] ) : 0.0 ;
setOutput ( val ) ;
}
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` }};function nge(e){let{inputs:t,backend:n}=e,{x:r}=t,s=[...r.shape,...r.shape],a=k.sizeFromShape(r.shape),o=ve({inputs:{x:r},backend:n,attrs:{shape:[a]}}),i=new tge(a),l=n.runWebGLProgram(i,[o],o.dtype),u=ve({inputs:{x:l},backend:n,attrs:{shape:s}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(l),u}var rge={kernelName:_y,backendName:"webgl",kernelFunc:nge},sge=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:n,padInfo:r,strideHeight:s,strideWidth:a,filterHeight:o,filterWidth:i,dilationHeight:l,dilationWidth:u}=e,{top:c,left:d}=r;this.userCode= `
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const ivec2 strides = ivec2 ( $ { s } , $ { a } ) ;
const ivec2 pads = ivec2 ( $ { c } , $ { d } ) ;
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const float neg _infinity = - 3.4 e38 ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int d1 = coords . w ;
ivec2 outTopLeftCorner =
coords . yz * strides - pads ;
int hBeg = outTopLeftCorner . x ;
int wBeg = outTopLeftCorner . y ;
float curVal = neg _infinity ;
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for ( int h = 0 ; h < $ { o } ; h ++ ) {
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int hIn = hBeg + h * $ { l } ;
if ( hIn >= 0 && hIn < $ { t } ) {
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for ( int w = 0 ; w < $ { i } ; w ++ ) {
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int wIn = wBeg + w * $ { u } ;
if ( wIn >= 0 && wIn < $ { n } ) {
float xVal = getX ( batch , hIn , wIn , d1 ) ;
float wVal = getW ( h , w , d1 ) ;
float val = xVal + wVal ;
if ( val > curVal ) {
curVal = val ;
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}
}
}
}
}
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float result = curVal ;
setOutput ( result ) ;
}
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` }};function age(e){let{inputs:t,backend:n,attrs:r}=e,{x:s,filter:a}=t,{strides:o,pad:i,dilations:l}=r,u=R.computeDilation2DInfo(s.shape,a.shape,o,i,"NHWC",l),c,d=new sge(u);c=n.runWebGLProgram(d,[s,a],"float32");let h=ve({inputs:{x:c},backend:n,attrs:{shape:u.outShape}});return n.disposeIntermediateTensorInfo(c),h}var oge={kernelName:Jp,backendName:"webgl",kernelFunc:age};function ige(e){let{inputs:t,backend:n,attrs:r}=e,{equation:s}=r,a=t,{allDims:o,summedDims:i,idDims:l}=R.decodeEinsumEquation(s,a.length);R.checkEinsumDimSizes(o.length,l,a);let{path:u,steps:c}=R.getEinsumComputePath(i,l),d=c.length,h=null,p=o.length,f=[];for(let m=0;m<d;++m){for(let g of c[m]){let{permutationIndices:y,expandDims:A}=R.getEinsumPermutation(p,l[g]),x;R.isIdentityPermutation(y)?x=a[g]:(x=Un({inputs:{x:a[g]},backend:n,attrs:{perm:y}}),f.push(x));let b=x.shape.slice();for(let v=0;v<A.length;++v)b.splice(A[v],0,1);k.arraysEqual(x.shape,b)||(x=ve({inputs:{x},backend:n,attrs:{shape:b}}),f.push(x)),h===null?h=x:(h=ib({inputs:{a:x,b:h},backend:n}),f.push(h))}m<d-1&&(u[m]>=0&&(h=qm({inputs:{x:h},backend:n,attrs:{axis:u[m]-(o.length-p),keepDims:!1}}),f.push(h)),p--)}for(let m of f)m!==h&&n.disposeIntermediateTensorInfo(m);return h}var lge={kernelName:Fy,backendName:"webgl",kernelFunc:ige},uge="return (x >= 0.0) ? x : (exp(x) - 1.0);",cge= `
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vec4 result ;
result . r = ( x . r >= 0.0 ) ? x . r : ( exp ( x . r ) - 1.0 ) ;
result . g = ( x . g >= 0.0 ) ? x . g : ( exp ( x . g ) - 1.0 ) ;
result . b = ( x . b >= 0.0 ) ? x . b : ( exp ( x . b ) - 1.0 ) ;
result . a = ( x . a >= 0.0 ) ? x . a : ( exp ( x . a ) - 1.0 ) ;
return result ;
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` ,dge=it({opSnippet:uge,packedOpSnippet:cge}),hge={kernelName:Dc,backendName:"webgl",kernelFunc:dge},pge="return (b >= 1.0) ? a : a * (b + 1.0);",fge= `
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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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` ,mge=e=>{let{inputs:t,backend:n}=e,{dy:r,y:s}=t,a=ae().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new hh(fge,r.shape,s.shape):new ku(pge,r.shape,s.shape);return n.runWebGLProgram(a,[r,s],r.dtype)},gge={kernelName:My,backendName:"webgl",kernelFunc:mge},yge= `
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return vec4 ( equal ( a , b ) ) ;
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` ,Age="return float(a == b);",xge=Nn({opSnippet:Age,packedOpSnippet:yge,dtype:"bool",cpuKernelImpl:ope}),bge={kernelName:il,backendName:"webgl",kernelFunc:xge},vge= `
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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 = $ { R . ERF _P } ;
float a1 = $ { R . ERF _A1 } ;
float a2 = $ { R . ERF _A2 } ;
float a3 = $ { R . ERF _A3 } ;
float a4 = $ { R . ERF _A4 } ;
float a5 = $ { R . ERF _A5 } ;
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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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` ,wge=it({opSnippet:vge}),kge={kernelName:Fc,backendName:"webgl",kernelFunc:wge},JE="return exp(x);",QE=it({opSnippet:JE,packedOpSnippet:JE,cpuKernelImpl:ipe}),Ige={kernelName:Eo,backendName:"webgl",kernelFunc:QE};function db(e){let{inputs:t,attrs:n,backend:r}=e,{dim:s}=n,{input:a}=t,o=a.shape.length,i=a.shape.slice(),l=s;return s<0&&(k.assert(-(o+1)<=s,()=> ` Axis must be in the interval [ $ { - ( o + 1 ) } , $ { o } ] ` ),l=o+s+1),i.splice(l,0,1),ve({inputs:{x:a},backend:r,attrs:{shape:i}})}var Sge={kernelName:Mc,backendName:"webgl",kernelFunc:db},e9="return exp(x) - 1.0;",Tge=it({opSnippet:e9,packedOpSnippet:e9,cpuKernelImpl:lpe}),Nge={kernelName:ll,backendName:"webgl",kernelFunc:Tge},t9=class{constructor(e,t,n){this.variableNames=["real","imag"];let r=t[1];this.outputShape=t;let s=n? ` 2.0 * $ { Math . PI } ` : ` - 2.0 * $ { Math . PI } ` ,a=n? ` $ { r } . 0 ` :"1.0",o;if(e==="real")o="return real * expR - imag * expI;";else if(e==="imag")o="return real * expI + imag * expR;";else throw new Error( ` FFT component must be either "real" or "imag" , got $ { e } . ` );this.userCode= `
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const float exponentMultiplier = $ { s } ;
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float unaryOpComplex ( float real , float expR , float imag , float expI ) {
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$ { o }
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}
float mulMatDFT ( int batch , int index ) {
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float indexRatio = float ( index ) / float ( $ { r } ) ;
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float exponentMultiplierTimesIndexRatio =
exponentMultiplier * indexRatio ;
float result = 0.0 ;
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for ( int i = 0 ; i < $ { r } ; 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 ) / $ { a } ;
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}
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return result ;
}
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
setOutput ( mulMatDFT ( coords [ 0 ] , coords [ 1 ] ) ) ;
}
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` }};function n9(e,t,n){let r=n.texData.get(e.dataId),s=k.sizeFromShape(e.shape),a=e.shape[e.shape.length-1],o=s/a,i=ve({inputs:{x:e},backend:n,attrs:{shape:[o,a]}}),l=i.shape,u=new t9("real",l,t),c=new t9("imag",l,t),d=[{dataId:r.complexTensorInfos.real.dataId,dtype:r.complexTensorInfos.real.dtype,shape:l},{dataId:r.complexTensorInfos.imag.dataId,dtype:r.complexTensorInfos.imag.dtype,shape:l}],h=n.runWebGLProgram(u,d,"float32"),p=n.runWebGLProgram(c,d,"float32"),f=eo({inputs:{real:h,imag:p},backend:n});n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(p);let m=ve({inputs:{x:f},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(f),m}function Cge(e){let{inputs:t,backend:n}=e,{input:r}=t;return n9(r,!1,n)}var Ege={kernelName:Oy,backendName:"webgl",kernelFunc:Cge}, $ ge=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 hb(e){let{backend:t,attrs:n}=e,{shape:r,value:s}=n,{dtype:a}=n;if(a=a||k.inferDtype(s),a==="string"){let o=k.getArrayFromDType(a,k.sizeFromShape(r));return o.fill(s),t.makeTensorInfo(r,a,o)}else{let o=new $ ge(r,s),i=o.getCustomSetupFunc(s);return t.runWebGLProgram(o,[],a,i)}}var _ge={kernelName:Qp,backendName:"webgl",kernelFunc:hb},Rge=class{constructor(e){this.variableNames=["Image"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int x = coords [ 2 ] ;
int coordX = $ { t } - x ;
float outputValue ;
if ( coordX >= 0 && coordX < $ { t } ) {
outputValue = getImage ( coords [ 0 ] , coords [ 1 ] , coordX , coords [ 3 ] ) ;
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} else {
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outputValue = getImage ( coords [ 0 ] , coords [ 1 ] , coords [ 2 ] , coords [ 3 ] ) ;
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}
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setOutput ( outputValue ) ;
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}
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` }},Dge={kernelName:Oc,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{let{image:n}=e,r=t,s=new Rge(n.shape);return r.runWebGLProgram(s,[n],n.dtype)}},r9="return floor(x);",Fge=it({opSnippet:r9,packedOpSnippet:r9,cpuKernelImpl:upe}),Mge={kernelName: $ o,backendName:"webgl",kernelFunc:Fge},Oge= `
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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 ) ) ;
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} else {
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return NAN ;
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}
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` ,Pge= `
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ivec4 ia = round ( a ) ;
ivec4 ib = round ( b ) ;
bvec4 cond = notEqual ( ib , ivec4 ( 0 ) ) ;
ivec4 result = ivec4 ( 0 ) ;
vec4 s = sign ( a ) * sign ( b ) ;
// Windows (D3D) wants guaranteed non-zero int division at compile-time.
if ( cond [ 0 ] ) {
result [ 0 ] = idiv ( ia [ 0 ] , ib [ 0 ] , s [ 0 ] ) ;
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}
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if ( cond [ 1 ] ) {
result [ 1 ] = idiv ( ia [ 1 ] , ib [ 1 ] , s [ 1 ] ) ;
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}
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if ( cond [ 2 ] ) {
result [ 2 ] = idiv ( ia [ 2 ] , ib [ 2 ] , s [ 2 ] ) ;
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}
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if ( cond [ 3 ] ) {
result [ 3 ] = idiv ( ia [ 3 ] , ib [ 3 ] , s [ 3 ] ) ;
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}
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return vec4 ( result ) ;
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` ,zge=Nn({opSnippet:Oge,packedOpSnippet:Pge,dtype:"int32"}),Lge={kernelName:ul,backendName:"webgl",kernelFunc:zge},Bge=class{constructor(e){this.variableNames=["A"];let t=Wn(),[n,r]=e;this.outputShape=e,this.userCode= `
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
int texR = coords [ 0 ] ;
int texC = coords [ 1 ] ;
int depth = coords [ 2 ] ;
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vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { r } . 0 , $ { n } . 0 ) ;
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vec4 values = $ { t . texture2D } ( A , uv ) ;
float value ;
if ( depth == 0 ) {
value = values . r ;
} else if ( depth == 1 ) {
value = values . g ;
} else if ( depth == 2 ) {
value = values . b ;
} else if ( depth == 3 ) {
value = values . a ;
}
setOutput ( floor ( value * 255.0 + 0.5 ) ) ;
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}
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` }},Wge=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=Wn(),[n,r]=e;this.outputShape=e,this.userCode= `
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
int texR = coords [ 0 ] ;
int texC = coords [ 1 ] ;
int depth = coords [ 2 ] ;
vec4 result = vec4 ( 0. ) ;
for ( int row = 0 ; row <= 1 ; row ++ ) {
for ( int col = 0 ; col <= 1 ; col ++ ) {
texC = coords [ 1 ] + row ;
depth = coords [ 2 ] + col ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { r } . 0 , $ { n } . 0 ) ;
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vec4 values = $ { t . texture2D } ( A , uv ) ;
float value ;
if ( depth == 0 ) {
value = values . r ;
} else if ( depth == 1 ) {
value = values . g ;
} else if ( depth == 2 ) {
value = values . b ;
} else if ( depth == 3 ) {
value = values . a ;
}
result [ row * 2 + col ] = floor ( value * 255.0 + 0.5 ) ;
}
}
$ { t . output } = result ;
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}
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` }},Vge={kernelName:rA,backendName:"webgl",kernelFunc:Uge},Su;function Uge(e){let{inputs:t,backend:n,attrs:r}=e,{pixels:s}=t,{numChannels:a}=r,o=typeof HTMLVideoElement!="undefined"&&s instanceof HTMLVideoElement,i=typeof HTMLImageElement!="undefined"&&s instanceof HTMLImageElement,[l,u]=o?[s.videoWidth,s.videoHeight]:[s.width,s.height],c=[u,l],d=[u,l,a];(i||o)&&(Su==null&&(Su=document.createElement("canvas").getContext("2d")),Su.canvas.width=l,Su.canvas.height=u,Su.drawImage(s,0,0,l,u),s=Su.canvas);let h=n.makeTensorInfo(c,"int32");n.texData.get(h.dataId).usage=zr.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(h.dataId),s);let p=ae().getBool("WEBGL_PACK")?new Wge(d):new Bge(d),f=n.runWebGLProgram(p,[h],"int32");return n.disposeData(h.dataId),f}function Hge(e){let{inputs:t,backend:n,attrs:r}=e,{x:s,filter:a,bias:o,preluActivationWeights:i}=t,{strides:l,pad:u,dataFormat:c,dilations:d,dimRoundingMode:h,activation:p,leakyreluAlpha:f}=r,m=R.convertConv2DDataFormat(c),g=R.computeConv2DInfo(s.shape,a.shape,l,d,u,h,!1,m),y,A=[];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=GE({x:s,filter:a,convInfo:g,backend:n,bias:o,activation:p,preluActivationWeights:i,leakyreluAlpha:f});else if(ae().getBool("WEBGL_CONV_IM2COL")&&s.shape[0]===1)y=jE({x:s,filter:a,convInfo:g,backend:n,bias:o,activation:p,preluActivationWeights:i,leakyreluAlpha:f});else{let b=o!=null,v=i!=null,w=p==="leakyrelu",S=p?Gm(p,!1):null,I=new HE(g,b,S,v,w),E=[s,a];if(o&&E.push(o),i&&E.push(i),w){let F=n.makeTensorInfo([],"float32",k.createScalarValue(f,"float32"));E.push(F),A.push(F)}y=n.runWebGLProgram(I,E,"float32")}let x=ve({inputs:{x:y},backend:n,attrs:{shape:g.outShape}});return A.push(y),A.forEach(b=>n.disposeIntermediateTensorInfo(b)),x}var Gge={kernelName:Bl,backendName:"webgl",kernelFunc:Hge};function jge(e){let{inputs:t,backend:n,attrs:r}=e,{x:s,filter:a,bias:o,preluActivationWeights:i}=t,{strides:l,pad:u,dilations:c,dimRoundingMode:d,activation:h,leakyreluAlpha:p}=r,f=[],m=c;m==null&&(m=[1,1]),k.assert(R.eitherStridesOrDilationsAreOne(l,m),()=> ` Error in depthwiseConv2d : Either strides or dilations must be 1. Got strides $ { l } and dilations '${m}' ` );let g=R.computeConv2DInfo(s.shape,a.shape,l,m,u,d,!0),y=ae().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels==1,A=h?Gm(h,y):null,x=[s,a],b=o!=null,v=i!=null,w=h==="leakyrelu";if(b&&x.push(o),v&&x.push(i),w){let E=n.makeTensorInfo([],"float32",k.createScalarValue(p,"float32"));x.push(E),f.push(E)}let S;y?S=new YE(g,b,A,v,w):S=new ZE(g,b,A,v,w);let I=n.runWebGLProgram(S,x,"float32");return f.forEach(E=>n.disposeIntermediateTensorInfo(E)),I}var qge={kernelName:Wl,backendName:"webgl",kernelFunc:jge},Kge=class{constructor(e,t,n){this.sliceDim=e,this.strides=t,this.variableNames=["x","indices"],this.outputShape=n;let r=It(t.length),s=It(n.length),a=this.sliceDim>1?"strides[j]":"strides";this.userCode= `
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$ { r } strides = $ { r } ( $ { this . strides } ) ;
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void main ( ) {
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$ { s } 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 * $ { a } ;
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}
setOutput ( getX ( flattenIndex , coords [ 1 ] ) ) ;
}
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` }};function Xge(e){let{inputs:t,backend:n}=e,{params:r,indices:s}=t,a=s.shape,o=a[a.length-1],i=k.sizeFromShape(r.shape),[l,u,c,d]=R.prepareAndValidate(r,s),h=ve({inputs:{x:s},backend:n,attrs:{shape:[u,o]}}),p=ve({inputs:{x:r},backend:n,attrs:{shape:[k.sizeFromShape(r.shape)/c,c]}});if(n.shouldExecuteOnCPU([r,s])||r.dtype==="string"){let y=n.readSync(s.dataId),A=n.bufferSync(r),x=cpe(y,A,r.dtype,u,o,c,d,r.shape,i);return n.makeTensorInfo(l,r.dtype,x.values)}let f=new Kge(o,d,[u,c]),m=n.runWebGLProgram(f,[p,h],p.dtype),g=ve({inputs:{x:m},backend:n,attrs:{shape:l}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(m),g}var Zge={kernelName:zc,backendName:"webgl",kernelFunc:Xge},Yge=class{constructor(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;let n=It(this.rank),r=Jge(e,2);this.userCode= `
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void main ( ) {
$ { n } resRC = getOutputCoords ( ) ;
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setOutput ( getA ( $ { r } ) ) ;
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}
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` }};function Jge(e,t){let n=["resRC.x","resRC.y","resRC.z","resRC.w"],r=[];for(let s=0;s<e.length;s++)s===2?r.push("int(getIndices(resRC.x, resRC.z))"):r.push( ` $ { n [ s ] } ` );return r.join()}function Qge(e){let{inputs:t,backend:n,attrs:r}=e,{x:s,indices:a}=t,{axis:o,batchDims:i}=r,l=k.parseAxisParam(o,s.shape)[0],u=R.segment_util.collectGatherOpShapeInfo(s,a,l,i),c=k.sizeFromShape(a.shape),d=[],h=ve({inputs:{x:s},backend:n,attrs:{shape:[u.batchSize,u.outerSize,u.dimSize,u.sliceSize]}}),p=ve({inputs:{x:a},backend:n,attrs:{shape:[u.batchSize,c/u.batchSize]}});d.push(h),d.push(p);let f=[u.batchSize,u.outerSize,c/u.batchSize,u.sliceSize];if(n.shouldExecuteOnCPU([s,a])||s.dtype==="string"){let A=n.bufferSync(p),x=n.bufferSync(h),b=dpe(x,A,f);return d.forEach(v=>n.disposeIntermediateTensorInfo(v)),n.makeTensorInfo(u.outputShape,b.dtype,b.values)}let m=new Yge(h.shape,f),g=n.runWebGLProgram(m,[h,p],h.dtype);d.push(g);let y=ve({inputs:{x:g},backend:n,attrs:{shape:u.outputShape}});return d.forEach(A=>n.disposeIntermediateTensorInfo(A)),y}var e2e={kernelName:Pc,backendName:"webgl",kernelFunc:Qge},t2e="return float(a > b);",n2e= `
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return vec4 ( greaterThan ( a , b ) ) ;
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` ,r2e=Nn({opSnippet:t2e,packedOpSnippet:n2e,cpuKernelImpl:hpe,dtype:"bool"}),s2e={kernelName:dl,backendName:"webgl",kernelFunc:r2e},a2e="return float(a >= b);",o2e= `
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return vec4 ( greaterThanEqual ( a , b ) ) ;
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` ,i2e=Nn({opSnippet:a2e,packedOpSnippet:o2e,dtype:"bool",cpuKernelImpl:ppe}),l2e={kernelName:_o,backendName:"webgl",kernelFunc:i2e};function u2e(e){let{inputs:t,backend:n}=e,{input:r}=t;return n9(r,!0,n)}var c2e={kernelName:Py,backendName:"webgl",kernelFunc:u2e},d2e="return float(!isnan(x) && !isinf(x));",h2e=it({opSnippet:d2e,dtype:"bool"}),p2e={kernelName:Lc,backendName:"webgl",kernelFunc:h2e},f2e="return float(isinf(x));",m2e=it({opSnippet:f2e,dtype:"bool"}),g2e={kernelName:Bc,backendName:"webgl",kernelFunc:m2e},y2e="return float(isnan(x));",A2e=it({opSnippet:y2e,dtype:"bool"}),x2e={kernelName:Wc,backendName:"webgl",kernelFunc:A2e},b2e="return float(a < b);",v2e= `
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return vec4 ( lessThan ( a , b ) ) ;
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` ,w2e=Nn({opSnippet:b2e,packedOpSnippet:v2e,cpuKernelImpl:fpe,dtype:"bool"}),k2e={kernelName:fl,backendName:"webgl",kernelFunc:w2e},I2e="return float(a <= b);",S2e= `
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return vec4 ( lessThanEqual ( a , b ) ) ;
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` ,T2e=Nn({opSnippet:I2e,packedOpSnippet:S2e,cpuKernelImpl:mpe,dtype:"bool"}),N2e={kernelName:ml,backendName:"webgl",kernelFunc:T2e};function C2e(e){let{backend:t,attrs:n}=e,{start:r,stop:s,num:a}=n,o=gpe(r,s,a);return t.makeTensorInfo([o.length],"float32",o)}var E2e={kernelName:Ly,backendName:"webgl",kernelFunc:C2e}, $ 2e= ` if ( x < 0.0 ) return NAN ;
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return log ( x ) ; ` ,_2e= `
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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 ;
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return result ;
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` ,R2e=it({opSnippet: $ 2e,packedOpSnippet:_2e,cpuKernelImpl:ype}),D2e={kernelName:Ro,backendName:"webgl",kernelFunc:R2e},F2e="return log(1.0 + x);",M2e=it({opSnippet:F2e}),O2e={kernelName:Vc,backendName:"webgl",kernelFunc:M2e},P2e="return float(a >= 1.0 && b >= 1.0);",z2e= `
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return vec4 (
vec4 ( greaterThanEqual ( a , vec4 ( 1.0 ) ) ) *
vec4 ( greaterThanEqual ( b , vec4 ( 1.0 ) ) ) ) ;
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` ,L2e=Nn({opSnippet:P2e,packedOpSnippet:z2e,dtype:"bool"}),B2e={kernelName:Uc,backendName:"webgl",kernelFunc:L2e},W2e="return float(!(x >= 1.0));",V2e=it({opSnippet:W2e}),U2e={kernelName:ef,backendName:"webgl",kernelFunc:V2e},H2e="return float(a >= 1.0 || b >= 1.0);",G2e= `
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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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` ,j2e=Nn({opSnippet:H2e,packedOpSnippet:G2e,dtype:"bool"}),q2e={kernelName:tf,backendName:"webgl",kernelFunc:j2e},K2e=class{constructor(e,t,n,r,s){this.variableNames=["x"],this.outputShape=[];let a=t,o=e[3]-1;this.outputShape=e;let i,l= ` float ( $ { n } ) + float ( $ { r } ) * sum ` ;s===.5?i= ` inversesqrt ( $ { l } ) ` :s===1?i= ` 1.0 / ( $ { l } ) ` :i= ` exp ( log ( $ { l } ) * float ( - $ { s } ) ) ; ` ,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
int d = coords [ 3 ] ;
float x = getX ( b , r , c , d ) ;
float sum = 0.0 ;
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for ( int j = - $ { a } ; j <= $ { a } ; j ++ ) {
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int idx = d + j ;
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if ( idx >= 0 && idx <= $ { o } ) {
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float z = getX ( b , r , c , idx ) ;
sum += z * z ;
}
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}
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float val = x * $ { i } ;
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setOutput ( val ) ;
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}
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` }},X2e=class{constructor(e,t,n,r,s){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let a=t,o=e[3]-1;this.outputShape=e;let i,l= ` float ( $ { n } ) + float ( $ { r } ) * sum ` ;s===.5?i= ` inversesqrt ( $ { l } ) ` :s===1?i= ` 1.0 / ( $ { l } ) ` :i= ` exp ( log ( $ { l } ) * float ( - $ { s } ) ) ; ` ,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords . x ;
int r = coords . y ;
int c = coords . z ;
int d = coords . w ;
bool hasNextCol = d < $ { this . outputShape [ 3 ] } ;
bool hasNextRow = c < $ { this . outputShape [ 2 ] } ;
vec4 sum = vec4 ( 0. ) ;
vec4 xFragAtOutputCoords = getX ( b , r , c , d ) ;
vec4 xAtOutputCoords = vec4 (
getChannel ( xFragAtOutputCoords , vec2 ( c , d ) ) ,
hasNextCol ?
getChannel ( xFragAtOutputCoords , vec2 ( c , d + 1 ) ) : 0.0 ,
hasNextRow ?
getChannel ( xFragAtOutputCoords , vec2 ( c + 1 , d ) ) : 0.0 ,
( hasNextRow && hasNextCol ) ?
getChannel ( xFragAtOutputCoords , vec2 ( c + 1 , d + 1 ) ) : 0.0
) ;
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int firstChannel = d - $ { a } ;
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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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}
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ivec2 depth = ivec2 ( d , d + 1 ) ;
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for ( int j = - $ { a } ; j <= $ { a } ; j ++ ) {
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ivec2 idx = depth + j ;
bvec2 aboveLowerBound = greaterThanEqual ( idx , ivec2 ( 0 ) ) ;
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bvec2 belowUpperBound = lessThanEqual ( idx , ivec2 ( $ { o } ) ) ;
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bool depthInRange = aboveLowerBound . x && belowUpperBound . x ;
bool depthPlusOneInRange = aboveLowerBound . y && belowUpperBound . y ;
if ( depthInRange || depthPlusOneInRange ) {
vec4 z = vec4 ( 0. ) ;
vec4 xFragAtCurrentDepth ;
z . xz = cache . xy ;
if ( depthPlusOneInRange && hasNextCol ) {
xFragAtCurrentDepth = idx . y != d ?
getX ( b , r , c , idx . y ) : xFragAtOutputCoords ;
z . y = getChannel ( xFragAtCurrentDepth , vec2 ( c , idx . y ) ) ;
if ( hasNextRow ) {
z . w = getChannel ( xFragAtCurrentDepth , vec2 ( c + 1 , idx . y ) ) ;
}
}
cache . xy = z . yw ;
sum += z * z ;
}
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}
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vec4 result = xAtOutputCoords * $ { i } ;
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setOutput ( result ) ;
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}
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` }},Z2e=e=>{let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{depthRadius:a,bias:o,alpha:i,beta:l}=r,u=ae().getBool("WEBGL_PACK_NORMALIZATION")?new X2e(s.shape,a,o,i,l):new K2e(s.shape,a,o,i,l);return n.runWebGLProgram(u,[s],s.dtype)},Y2e={kernelName:nf,backendName:"webgl",kernelFunc:Z2e},J2e=class{constructor(e,t,n,r,s){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=r,this.beta=s,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
float result = 0.0 ;
for ( int d = 0 ; d < $ { this . depth } ; ++ d ) {
int depthBegin = int ( max ( 0.0 , float ( d - $ { t } ) ) ) ;
int depthEnd = int ( min ( float ( $ { this . depth } ) ,
float ( d + $ { t } + 1 ) ) ) ;
const int MIN _DEPTH _BEGIN = 0 ;
const int MAX _DEPTH _END = $ { this . depth } ;
float norm = 0.0 ;
for ( int k = MIN _DEPTH _BEGIN ; k < MAX _DEPTH _END ; ++ k ) {
if ( k < depthBegin ) {
continue ;
}
else if ( k >= depthBegin && k < depthEnd ) {
norm += getInputImage ( b , r , c , k ) * getInputImage ( b , r , c , k ) ;
}
else {
break ;
}
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}
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norm = float ( $ { r } ) * 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 ( $ { r } )
* float ( $ { s } )
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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 * $ { s } ) ;
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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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}
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` }},Q2e=e=>{let{inputs:t,backend:n,attrs:r}=e,{x:s,y:a,dy:o}=t,{depthRadius:i,bias:l,alpha:u,beta:c}=r,d=new J2e(s.shape,i,l,u,c);return n.runWebGLProgram(d,[s,a,o],s.dtype)},eye={kernelName:By,backendName:"webgl",kernelFunc:Q2e};function tye(e,t,n,r){let s=k.sizeFromShape(t),o=k.sizeFromShape(e.shape)/s,i=ve({inputs:{x:e},attrs:{shape:[o,s]},backend:r}),l=bi(i,e.dtype,"max",r),u=ve({inputs:{x:l},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(l),u}function s9(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{reductionIndices:a,keepDims:o}=r,i=s.shape.length,l=k.parseAxisParam(a,s.shape),u=l,c=R.getAxesPermutation(u,i),d=c!=null,h=n.shouldExecuteOnCPU([s]),p=s;if(d){if(h){let x=n.texData.get(p.dataId).values,b=new Array(i);for(let S=0;S<b.length;S++)b[S]=s.shape[c[S]];let v=ob(x,s.shape,s.dtype,c,b);p=n.makeTensorInfo(b,s.dtype);let w=n.texData.get(p.dataId);w.values=v}else p=jm(s,c,n);u=R.getInnerMostAxes(u.length,i)}R.assertAxesAreInnerMostDims("max",u,i);let[f,m]=R.computeOutAndReduceShapes(p.shape,u),g=f;o&&(g=R.expandShapeToKeepDim(f,l));let y;if(h){let x=n.texData.get(p.dataId).values,b=Ape(x,k.sizeFromShape(m),g,s.dtype);y=n.makeTensorInfo(g,s.dtype);let v=n.texData.get(y.dataId);v.values=b}else y=tye(p,m,g,n);return d&&n.disposeIntermediateTensorInfo(p),y}var nye={kernelName:gl,backendName:"webgl",kernelFunc:s9},rye=kE+ `
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return max ( a , b ) ;
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` ,sye= `
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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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` +Hm+ `
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return result ;
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` ,aye=Nn({opSnippet:rye,packedOpSnippet:sye,cpuKernelImpl:xpe}),oye={kernelName:Do,backendName:"webgl",kernelFunc:aye};function iye(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t;mu(s,"maxPool");let{filterSize:a,strides:o,pad:i,dimRoundingMode:l}=r,u=1;k.assert(R.eitherStridesOrDilationsAreOne(o,u),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { o } and dilations '${u}' ` );let c=R.computePool2DInfo(s.shape,a,o,u,i,l);if(c.filterWidth===1&&c.filterHeight===1&&k.arraysEqual(c.inShape,c.outShape))return gr({inputs:{x:s},backend:n});let d=new ph(c,"max",!1);return n.runWebGLProgram(d,[s],s.dtype)}var lye={kernelName:yl,backendName:"webgl",kernelFunc:iye};function uye(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{filterSize:a,strides:o,pad:i,dataFormat:l,dimRoundingMode:u}=r,c=[1,1,1],d=R.computePool3DInfo(s.shape,a,o,c,i,u,l),h=new lb(d,"max",!1);return n.runWebGLProgram(h,[s],s.dtype)}var cye={kernelName:rf,backendName:"webgl",kernelFunc:uye},dye=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,n=e.strideWidth,r=e.dilationHeight,s=e.effectiveFilterHeight,a=e.effectiveFilterWidth,o=s-1-e.padInfo.top,i=a-1-e.padInfo.left,l=s*a-1;this.userCode= `
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const ivec2 pads = ivec2 ( $ { o } , $ { i } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 dyRCCorner = coords . yz - pads ;
int dyRCorner = dyRCCorner . x ;
int dyCCorner = dyRCCorner . y ;
// Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
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for ( int wR = 0 ; wR < $ { s } ;
wR += $ { r } ) {
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float dyR = float ( dyRCorner + wR ) / $ { t } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
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for ( int wC = 0 ; wC < $ { a } ; wC ++ ) {
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float dyC = float ( dyCCorner + wC ) / $ { n } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
float dyValue = getDy ( b , idyR , idyC , d ) ;
int maxPosValue = $ { l } - int ( getMaxPos ( b , idyR , idyC , d ) ) ;
// Get the current value, check it against the value from the
// position matrix.
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int curPosValue = wR * $ { a } + wC ;
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float mask = float ( maxPosValue == curPosValue ? 1.0 : 0.0 ) ;
dotProd += dyValue * mask ;
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}
}
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setOutput ( dotProd ) ;
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}
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` }},hye=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,s=e.dilationDepth,a=e.dilationHeight,o=e.dilationWidth,i=e.effectiveFilterDepth,l=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=i-1-e.padInfo.front,d=l-1-e.padInfo.top,h=u-1-e.padInfo.left,p=i*l*u-1;this.userCode= `
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const ivec3 pads = ivec3 ( $ { c } , $ { d } , $ { h } ) ;
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
int dyDCorner = dyCorner . x ;
int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
// Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get
// dx(xD, xR, xC, ch).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
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for ( int wD = 0 ; wD < $ { i } ;
wD += $ { s } ) {
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float dyD = float ( dyDCorner + wD ) / $ { t } . 0 ;
if ( dyD < 0.0 || dyD >= $ { e . outDepth } . 0 || fract ( dyD ) > 0.0 ) {
continue ;
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}
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int idyD = int ( dyD ) ;
for ( int wR = 0 ; wR < $ { l } ;
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wR += $ { a } ) {
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float dyR = float ( dyRCorner + wR ) / $ { n } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
for ( int wC = 0 ; wC < $ { u } ;
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wC += $ { o } ) {
float dyC = float ( dyCCorner + wC ) / $ { r } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
float dyValue = getDy ( batch , idyD , idyR , idyC , ch ) ;
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int maxPosValue = $ { p } -
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int ( getMaxPos ( batch , idyD , idyR , idyC , ch ) ) ;
// Get the current value, check it against the value from the
// position matrix.
int curPosValue =
wD * $ { l } * $ { u } +
wR * $ { u } + wC ;
float mask = float ( maxPosValue == curPosValue ? 1.0 : 0.0 ) ;
dotProd += dyValue * mask ;
}
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}
}
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setOutput ( dotProd ) ;
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}
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` }};function pye(e){let{inputs:t,backend:n,attrs:r}=e,{dy:s,input:a}=t,o=a,{filterSize:i,strides:l,pad:u,dimRoundingMode:c}=r,d=[1,1,1],h=R.computePool3DInfo(o.shape,i,l,d,u,c),p=new lb(h,"max",!0),f=n.runWebGLProgram(p,[o],o.dtype),m=new hye(h),g=n.runWebGLProgram(m,[s,f],o.dtype);return n.disposeIntermediateTensorInfo(f),g}var fye={kernelName:Vy,backendName:"webgl",kernelFunc:pye};function mye(e){let{inputs:t,backend:n,attrs:r}=e,{dy:s,input:a,output:o}=t,i=a;mu([a,o],"maxPoolGrad");let{filterSize:l,strides:u,pad:c,dimRoundingMode:d}=r,h=R.computePool2DInfo(i.shape,l,u,1,c,d),p=!0,f=new ph(h,"max",p),m=n.runWebGLProgram(f,[i],i.dtype),g=new dye(h),y=n.runWebGLProgram(g,[s,m],i.dtype);return n.disposeIntermediateTensorInfo(m),y}var gye={kernelName:Wy,backendName:"webgl",kernelFunc:mye};function yye(e,t,n,r){let s=new ph(n,"max",!1),a=r.runWebGLProgram(s,[e],"float32");s=new ph(n,"max",!0,!0,t);let o=r.runWebGLProgram(s,[e],"float32");return[a,o]}var Aye={kernelName:Uy,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:r}=e,{filterSize:s,strides:a,pad:o,includeBatchInIndex:i}=t,l=n;k.assert(r.shape.length===4,()=> ` Error in maxPool : input must be rank 4 but got rank $ { r . shape . length } . ` );let u=[1,1];k.assert(R.eitherStridesOrDilationsAreOne(a,u),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { a } and dilations '${u}' ` );let c=R.computePool2DInfo(r.shape,s,a,u,o),[d,h]=yye(r,i,c,l);return[d,h]}};function xye(e,t,n,r){let s=k.sizeFromShape(t),o=k.sizeFromShape(e.shape)/s,i=ve({inputs:{x:e},attrs:{shape:[o,s]},backend:r}),l=bi(i,"float32","mean",r),u=ve({inputs:{x:l},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(l),u}var bye={kernelName:Al,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:r}=e,{keepDims:s,axis:a}=t,o=n,i=r.shape.length,l=k.parseAxisParam(a,r.shape),u=l,c=R.getAxesPermutation(u,i),d=c!=null,h=o.shouldExecuteOnCPU([r]),p=[],f=r;if(d){if(h){let b=o.texData.get(f.dataId).values,v=new Array(i);for(let I=0;I<v.length;I++)v[I]=r.shape[c[I]];let w=ob(b,r.shape,r.dtype,c,v);f=o.makeTensorInfo(v,r.dtype);let S=o.texData.get(f.dataId);S.values=w}else f=jm(r,c,o);p.push(f),u=R.getInnerMostAxes(u.length,i)}R.assertAxesAreInnerMostDims("sum",u,i);let[m,g]=R.computeOutAndReduceShapes(f.shape,u),y=m;s&&(y=R.expandShapeToKeepDim(m,l));let A=xye(f,g,y,o);for(let x of p)o.disposeIntermediateTensorInfo(x);return A}};function vye(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{axis:a,keepDims:o}=r,i=s.shape.length,l=k.parseAxisParam(a,s.shape),u=l,c=R.getAxesPermutation(u,i),d=s;c!=null&&(d=Un({inputs:{x:s},backend:n,attrs:{perm:c}}),u=R.getInnerMostAxes(u.length,s.shape.length)),R.assertAxesAreInnerMostDims("min",u,i);let[h,p]=R.computeOutAndReduceShapes(d.shape,u),f=k.sizeFromShape(p),m=ve({inputs:{x:d},backend:n,attrs:{shape:[-1,f]}}),g=bi(m,m.dtype,"min",n),y;if(o){let A=R.expandShapeToKeepDim(h,l);y=ve({inputs:{x:g},backend:n,attrs:{shape:A}})}else y=ve({inputs:{x:g},backend:n,attrs:{shape:h}});return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(g),c!=null&&n.disposeIntermediateTensorInfo(d),y}var wye={kernelName:xl,backendName:"webgl",kernelFunc:vye},kye=kE+ `
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return min ( a , b ) ;
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` ,Iye= `
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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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` +Hm+ `
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return result ;
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` ,Sye=Nn({opSnippet:kye,packedOpSnippet:Iye,cpuKernelImpl:bpe}),Tye={kernelName:Fo,backendName:"webgl",kernelFunc:Sye},Nye=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((u,c)=>u[0]+e[c]+u[1]);let r=e.length,s=It(r),a=t.map(u=>u[0]).join(","),o=t.map((u,c)=>u[0]+e[c]).join(","),i=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r),l=n==="reflect"?0:1;if(r===1){this.userCode= `
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int start = $ { a } ;
int end = $ { o } ;
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void main ( ) {
int outC = getOutputCoords ( ) ;
if ( outC < start ) {
outC = start * 2 - outC - $ { l } ;
} else if ( outC >= end ) {
outC = ( end - 1 ) * 2 - outC + $ { l } ;
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}
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setOutput ( getX ( outC - start ) ) ;
}
` ;return}this.userCode= `
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$ { s } start = $ { s } ( $ { a } ) ;
$ { s } end = $ { s } ( $ { o } ) ;
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void main ( ) {
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$ { s } outC = getOutputCoords ( ) ;
for ( int i = 0 ; i < $ { r } ; i ++ ) {
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if ( outC [ i ] < start [ i ] ) {
outC [ i ] = start [ i ] * 2 - outC [ i ] - $ { l } ;
} else if ( outC [ i ] >= end [ i ] ) {
outC [ i ] = ( end [ i ] - 1 ) * 2 - outC [ i ] + $ { l } ;
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}
}
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$ { s } coords = outC - start ;
setOutput ( getX ( $ { i } ) ) ;
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}
2021-06-08 13:06:16 +02:00
` }},Cye=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((p,f)=>p[0]+e[f]+p[1]);let r=e.length,s=It(r),a=t.map(p=>p[0]).join(","),o=t.map((p,f)=>p[0]+e[f]).join(","),i=Vn("rc",r),l=Vn("source",r),u= ` $ { i [ r - 1 ] } < $ { this . outputShape [ r - 1 ] } ` ,c=r===1?"source": ` vec2 ( $ { l . slice ( - 2 ) . join ( ) } ) ` ,d=n==="reflect"?0:1,h="";if(r===1){let p= `
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$ { s } source = rc ;
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if ( source < start ) {
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source = start * 2 - source - $ { d } ;
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} else if ( source >= end ) {
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source = ( end - 1 ) * 2 - source + $ { d } ;
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}
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source -= start ;
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` ;h= `
$ { s } rc = outputLoc ;
$ { p }
result [ 0 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { c } ) ;
$ { i [ r - 1 ] } += 1 ;
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if ( $ { u } ) {
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$ { p }
result [ 1 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { c } ) ;
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}
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` }else{let p= `
$ { s } source = rc ;
$ { s } lt = $ { s } ( lessThan ( source , start ) ) ;
$ { s } gte = $ { s } ( greaterThanEqual ( source , end ) ) ;
$ { s } orig = 1 - ( lt + gte ) ;
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source = orig * source +
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lt * ( start * 2 - source - $ { d } ) +
gte * ( ( end - 1 ) * 2 - source + $ { d } ) ;
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source -= start ;
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` ;h= `
$ { s } rc = outputLoc ;
$ { p }
result [ 0 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { c } ) ;
$ { i [ r - 1 ] } += 1 ;
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if ( $ { u } ) {
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$ { p }
result [ 1 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { c } ) ;
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}
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rc = outputLoc ;
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$ { i [ r - 2 ] } += 1 ;
if ( $ { i [ r - 2 ] } < $ { this . outputShape [ r - 2 ] } ) {
$ { p }
result [ 2 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { c } ) ;
$ { i [ r - 1 ] } += 1 ;
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if ( $ { u } ) {
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$ { p }
result [ 3 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { c } ) ;
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}
}
` }this.userCode= `
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const $ { s } start = $ { s } ( $ { a } ) ;
const $ { s } end = $ { s } ( $ { o } ) ;
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void main ( ) {
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$ { s } 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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}
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` }},Eye=({inputs:e,backend:t,attrs:n})=>{let{x:r}=e,{paddings:s,mode:a}=n,o=ae().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Cye(r.shape,s,a):new Nye(r.shape,s,a);return t.runWebGLProgram(o,[r],r.dtype)}, $ ye={kernelName:bl,backendName:"webgl",kernelFunc:Eye},_ye= ` if ( b == 0.0 ) return NAN ;
return mod ( a , b ) ; ` ,Rye= `
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vec4 result = mod ( a , b ) ;
vec4 isNaN = vec4 ( equal ( b , vec4 ( 0.0 ) ) ) ;
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` +Hm+ `
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return result ;
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` ,Dye=Nn({opSnippet:_ye,packedOpSnippet:Rye}),Fye={kernelName:Hc,backendName:"webgl",kernelFunc:Dye},Mye=class{constructor(e,t,n){this.variableNames=["probs"],this.outputShape=[e,n],this.userCode= `
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uniform float seed ;
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
float r = random ( seed ) ;
float cdf = 0.0 ;
for ( int i = 0 ; i < $ { t - 1 } ; i ++ ) {
cdf += getProbs ( batch , i ) ;
if ( r < cdf ) {
setOutput ( float ( i ) ) ;
return ;
}
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}
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// If no other event happened, last event happened.
setOutput ( float ( $ { t - 1 } ) ) ;
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}
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` }getCustomSetupFunc(e){return(t,n)=>{this.seedLoc==null&&(this.seedLoc=t.getUniformLocation(n,"seed")),t.gl.uniform1f(this.seedLoc,e)}}},Oye= `
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if ( a == b ) {
return 1.0 ;
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} ;
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return a / b ; ` ,Pye= `
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// vec4 one = vec4(equal(a, b));
// return one + (vec4(1.0) - one) * a / b;
vec4 result = a / b ;
if ( a . x == b . x ) {
result . x = 1. ;
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}
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if ( a . y == b . y ) {
result . y = 1. ;
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}
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if ( a . z == b . z ) {
result . z = 1. ;
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}
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if ( a . w == b . w ) {
result . w = 1. ;
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}
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return result ;
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` ,a9=Nn({opSnippet:Oye,packedOpSnippet:Pye,checkOutOfBounds:!0}),zye={kernelName:ol,backendName:"webgl",kernelFunc:a9},o9="return a - b;",i9=Nn({opSnippet:o9,packedOpSnippet:o9,supportsComplex:!0,cpuKernelImpl:Fpe}),Lye={kernelName:zo,backendName:"webgl",kernelFunc:i9};function l9(e){let{inputs:t,backend:n,attrs:r}=e,{logits:s}=t,{dim:a}=r,o=k.parseAxisParam([a],s.shape),i=s9({inputs:{x:s},backend:n,attrs:{reductionIndices:o,keepDims:!1}}),l=R.expandShapeToKeepDim(i.shape,o),u=ve({inputs:{x:i},backend:n,attrs:{shape:l}}),c=i9({inputs:{a:s,b:u},backend:n}),d=QE({inputs:{x:c},backend:n}),h=qm({inputs:{x:d},backend:n,attrs:{axis:o,keepDims:!1}}),p=ve({inputs:{x:h},backend:n,attrs:{shape:l}}),f=a9({inputs:{a:d,b:p},backend:n});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(p),f}var Bye={kernelName:Ml,backendName:"webgl",kernelFunc:l9};function Wye(e){let{inputs:t,backend:n,attrs:r}=e,{logits:s}=t,{numSamples:a,seed:o,normalized:i}=r,l=i?s:l9({inputs:{logits:s},backend:n,attrs:{dim:s.shape.length-1}}),u=l.shape[0],c=l.shape[1],d=new Mye(u,c,a),h=d.getCustomSetupFunc(o),p=n.runWebGLProgram(d,[l],"int32",h);return i||n.disposeIntermediateTensorInfo(l),p}var Vye={kernelName:Hy,backendName:"webgl",kernelFunc:Wye},u9="return -x;";function Uye(e){let{inputs:t,backend:n}=e,{x:r}=t;if(n.shouldExecuteOnCPU([r])){let a=n.texData.get(r.dataId),[o,i]=wpe(a.values,r.shape,r.dtype);return n.makeTensorInfo(i,r.dtype,o)}let s;return ae().getBool("WEBGL_PACK_UNARY_OPERATIONS")?s=new wu(r.shape,u9):s=new Qa(r.shape,u9),n.runWebGLProgram(s,[r],r.dtype)}var Hye={kernelName:Gc,backendName:"webgl",kernelFunc:Uye},Gye=ca.nonMaxSuppressionV3Impl;function jye(e){R.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:r}=e,{boxes:s,scores:a}=t,{maxOutputSize:o,iouThreshold:i,scoreThreshold:l}=r,u=n.readSync(s.dataId),c=n.readSync(a.dataId),{selectedIndices:d}=Gye(u,c,o,i,l);return n.makeTensorInfo([d.length],"int32",new Int32Array(d))}var qye={kernelName:jc,backendName:"webgl",kernelFunc:jye},Kye=ca.nonMaxSuppressionV4Impl;function Xye(e){R.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:r}=e,{boxes:s,scores:a}=t,{maxOutputSize:o,iouThreshold:i,scoreThreshold:l,padToMaxOutputSize:u}=r,c=n.readSync(s.dataId),d=n.readSync(a.dataId),{selectedIndices:h,validOutputs:p}=Kye(c,d,o,i,l,u);return[n.makeTensorInfo([h.length],"int32",new Int32Array(h)),n.makeTensorInfo([],"int32",new Int32Array([p]))]}var Zye={kernelName:qc,backendName:"webgl",kernelFunc:Xye},Yye=ca.nonMaxSuppressionV5Impl;function Jye(e){R.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:r}=e,{boxes:s,scores:a}=t,{maxOutputSize:o,iouThreshold:i,scoreThreshold:l,softNmsSigma:u}=r,c=n.readSync(s.dataId),d=n.readSync(a.dataId),h=o,p=i,f=l,m=u,{selectedIndices:g,selectedScores:y}=Yye(c,d,h,p,f,m);return[n.makeTensorInfo([g.length],"int32",new Int32Array(g)),n.makeTensorInfo([y.length],"float32",new Float32Array(y))]}var Qye={kernelName:Kc,backendName:"webgl",kernelFunc:Jye},eAe=class{constructor(e,t,n,r){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int index = round ( getIndices ( coords . x ) ) ;
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setOutput ( mix ( float ( $ { r } ) , float ( $ { n } ) ,
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float ( index == coords . y ) ) ) ;
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}
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` }},tAe=e=>{let{inputs:t,backend:n,attrs:r}=e,{indices:s}=t,{depth:a,onValue:o,offValue:i}=r,l=k.sizeFromShape(s.shape),u=new eAe(l,a,o,i),c=ve({inputs:{x:s},backend:n,attrs:{shape:[l]}}),d=n.runWebGLProgram(u,[c],s.dtype);n.disposeIntermediateTensorInfo(c);let h=[...s.shape,a],p=ve({inputs:{x:d},backend:n,attrs:{shape:h}});return n.disposeIntermediateTensorInfo(d),p},nAe={kernelName:wl,backendName:"webgl",kernelFunc:tAe};function Jm(e){let{inputs:t,backend:n}=e,{x:r}=t;if(r.dtype==="complex64"){let s=mh({inputs:{input:r},backend:n}),a=Jm({inputs:{x:s},backend:n}),o=Ym({inputs:{input:r},backend:n}),i=Jm({inputs:{x:o},backend:n}),l=eo({inputs:{real:a,imag:i},backend:n});return n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(i),l}else return hb({attrs:{shape:r.shape,dtype:r.dtype,value:r.dtype==="string"?"":0},backend:n})}var rAe={kernelName:hd,backendName:"webgl",kernelFunc:Jm};function c9(e){let{inputs:t,backend:n}=e,{x:r}=t;if(r.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(r.dtype==="complex64"){let s=mh({inputs:{input:r},backend:n}),a=c9({inputs:{x:s},backend:n}),o=Ym({inputs:{input:r},backend:n}),i=Jm({inputs:{x:o},backend:n}),l=eo({inputs:{real:a,imag:i},backend:n});return n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(i),l}else return hb({attrs:{shape:r.shape,dtype:r.dtype,value:1},backend:n})}var sAe={kernelName:Xc,backendName:"webgl",kernelFunc:c9};function aAe(e){let{inputs:t,backend:n,attrs:r}=e,{axis:s}=r;if(t.length===1)return db({inputs:{input:t[0]},backend:n,attrs:{dim:s}});let a=t[0].shape,o=t[0].dtype;t.forEach(c=>{k.assertShapesMatch(a,c.shape,"All tensors passed to stack must have matching shapes"),k.assert(o===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let i=[],l=t.map(c=>{let d=db({inputs:{input:c},backend:n,attrs:{dim:s}});return i.push(d),d}),u=UE({inputs:l,backend:n,attrs:{axis:s}});return i.forEach(c=>n.disposeIntermediateTensorInfo(c)),u}var oAe={kernelName:Zc,backendName:"webgl",kernelFunc:aAe},iAe=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((l,u)=>l[0]+e[u]+l[1]);let r=e.length,s=It(r),a=t.map(l=>l[0]).join(","),o=t.map((l,u)=>l[0]+e[u]).join(","),i=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);if(r===1){this.userCode= `
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int start = $ { a } ;
int end = $ { o } ;
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uniform float value ;
void main ( ) {
int outC = getOutputCoords ( ) ;
if ( outC < start || outC >= end ) {
setOutput ( value ) ;
} else {
setOutput ( getX ( outC - start ) ) ;
}
}
` ;return}this.userCode= `
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$ { s } start = $ { s } ( $ { a } ) ;
$ { s } end = $ { s } ( $ { o } ) ;
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uniform float value ;
void main ( ) {
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$ { s } outC = getOutputCoords ( ) ;
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if ( any ( lessThan ( outC , start ) ) || any ( greaterThanEqual ( outC , end ) ) ) {
setOutput ( value ) ;
} else {
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$ { s } coords = outC - start ;
setOutput ( getX ( $ { i } ) ) ;
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}
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}
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` }getCustomSetupFunc(e){return(t,n)=>{this.valueLoc==null&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}},lAe=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((f,m)=>f[0]+e[m]+f[1]);let r=e.length,s=It(r),a=t.map(f=>f[0]).join(","),o=t.map((f,m)=>f[0]+e[m]).join(","),i=Vn("rc",r),l=Vn("source",r),u= ` $ { i [ r - 1 ] } < $ { this . outputShape [ r - 1 ] } ` ,c=r===1?"source": ` vec2 ( $ { l . slice ( - 2 ) . join ( ) } ) ` ,d=[ ` $ { s } rc = outputLoc ; ` , ` $ { i [ r - 1 ] } += 1 ;
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if ( $ { u } ) {
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` ,r===1?"": ` }
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rc = outputLoc ;
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$ { i [ r - 2 ] } += 1 ;
if ( $ { i [ r - 2 ] } < $ { this . outputShape [ r - 2 ] } ) { ` ,r===1?"": ` $ { i [ r - 1 ] } += 1 ;
if ( $ { u } ) { ` ],h=r===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",p="";for(let f=0,m=r===1?2:4;f<m;f++)p+= `
$ { d [ f ] }
if ( $ { h } ) {
result [ $ { f } ] = float ( value ) ;
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} else {
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$ { s } source = rc - start ;
result [ $ { f } ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { c } ) ;
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}
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` ;p+=r===1?"} ":"}}",this.userCode= `
const $ { s } start = $ { s } ( $ { a } ) ;
const $ { s } end = $ { s } ( $ { o } ) ;
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uniform float value ;
void main ( ) {
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$ { s } outputLoc = getOutputCoords ( ) ;
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vec4 result = vec4 ( 0. ) ;
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$ { p }
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setOutput ( result ) ;
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}
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` }getCustomSetupFunc(e){return(t,n)=>{this.valueLoc==null&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}},d9=e=>{let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{paddings:a,constantValue:o}=r,i=ae().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new lAe(s.shape,a,o):new iAe(s.shape,a,o),l=i.getCustomSetupFunc(o);return n.runWebGLProgram(i,[s],s.dtype,l)},uAe={kernelName:kl,backendName:"webgl",kernelFunc:d9},cAe= `
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if ( a < 0.0 && floor ( b ) < b ) {
return NAN ;
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}
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if ( b == 0.0 ) {
return 1.0 ;
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}
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return ( round ( mod ( b , 2.0 ) ) != 1 ) ?
pow ( abs ( a ) , b ) : sign ( a ) * pow ( abs ( a ) , b ) ;
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` ,dAe= `
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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 ) ;
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// Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS
bvec4 isExpZero = equal ( b , vec4 ( 0.0 ) ) ;
result . r = isExpZero . r ? 1.0 : result . r ;
result . g = isExpZero . g ? 1.0 : result . g ;
result . b = isExpZero . b ? 1.0 : result . b ;
result . a = isExpZero . a ? 1.0 : result . a ;
vec4 isNaN = vec4 ( lessThan ( a , vec4 ( 0.0 ) ) ) * vec4 ( lessThan ( floor ( b ) , b ) ) ;
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` +Hm+ `
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return result ;
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` ,hAe=Nn({opSnippet:cAe,packedOpSnippet:dAe}),pAe={kernelName:Il,backendName:"webgl",kernelFunc:hAe};function fAe(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{axis:a,keepDims:o}=r,i=s.shape.length,l=[],u=k.parseAxisParam(a,s.shape),c=u,d=R.getAxesPermutation(c,i),h=s;d!=null&&(h=Un({inputs:{x:s},backend:n,attrs:{perm:d}}),c=R.getInnerMostAxes(c.length,i),l.push(h)),R.assertAxesAreInnerMostDims("prod",c,i);let p;if(n.shouldExecuteOnCPU([h])){let f=n.texData.get(h.dataId).values,{outVals:m,outShape:g,outDtype:y}=Ipe(h.shape,h.dtype,f,c);p=n.makeTensorInfo(g,y,m)}else{let[f,m]=R.computeOutAndReduceShapes(h.shape,c),g=k.sizeFromShape(m),y=ve({inputs:{x:h},backend:n,attrs:{shape:[-1,g]}}),A=pA(s.dtype),x=bi(y,A,"prod",n);p=ve({inputs:{x},backend:n,attrs:{shape:f}}),l.push(y),l.push(x)}if(o){l.push(p);let f=R.expandShapeToKeepDim(p.shape,u);p=ve({inputs:{x:p},backend:n,attrs:{shape:f}})}return l.forEach(f=>n.disposeIntermediateTensorInfo(f)),p}var mAe={kernelName:Yc,backendName:"webgl",kernelFunc:fAe},h9=e=>{let{backend:t,attrs:n}=e,{start:r,stop:s,step:a,dtype:o}=n,i=Spe(r,s,a,o);return t.makeTensorInfo([i.length],o,i)},gAe={kernelName:sf,backendName:"webgl",kernelFunc:h9},yAe="return 1.0 / x;",AAe=it({opSnippet:yAe}),xAe={kernelName:Jc,backendName:"webgl",kernelFunc:AAe},bAe=ys+ `
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return ( x < 0.0 ) ? 0.0 : x ;
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` ,vAe= `
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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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` ,wAe=it({opSnippet:bAe,packedOpSnippet:vAe}),kAe={kernelName:Tl,backendName:"webgl",kernelFunc:wAe},IAe=ys+ `
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return ( x < 0.0 ) ? 0.0 : min ( 6.0 , x ) ;
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` ,SAe= `
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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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` ,TAe=it({opSnippet:IAe,packedOpSnippet:SAe}),NAe={kernelName:Cl,backendName:"webgl",kernelFunc:TAe},CAe=class{constructor(e,t,n,r,s){this.variableNames=["A"],this.outputShape=[];let[a,o,i,l]=e;this.outputShape=[a,t,n,l];let u=[r&&t>1?o-1:o,r&&n>1?i-1:i],c=[r&&t>1?t-1:t,r&&n>1?n-1:n],d;s?d="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":d="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
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const vec2 effectiveInputOverOutputRatioRC = vec2 (
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$ { u [ 0 ] / c [ 0 ] } ,
$ { u [ 1 ] / c [ 1 ] } ) ;
const vec2 inputShapeRC = vec2 ( $ { o } . 0 , $ { i } . 0 ) ;
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void main ( ) {
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 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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` }},EAe=class{constructor(e,t,n,r,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[a,o,i,l]=e;this.outputShape=[a,t,n,l];let u=[r&&t>1?o-1:o,r&&n>1?i-1:i],c=[r&&t>1?t-1:t,r&&n>1?n-1:n],d;s?d="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":d="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
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const vec3 effectiveInputOverOutputRatioRC = vec3 (
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$ { u [ 0 ] / c [ 0 ] } ,
$ { u [ 1 ] / c [ 1 ] } ,
$ { u [ 1 ] / c [ 1 ] } ) ;
const vec3 inputShapeRC = vec3 ( $ { o } . 0 , $ { i } . 0 ,
$ { i } . 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 ) ) ;
}
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
// Calculate values for next column in yRC.z.
ivec3 yRC = coords . yzz + ivec3 ( 0 , 0 , 1 ) ;
// Fractional source index.
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vec3 sourceFracIndexRC = $ { d } ;
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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.
bool hasNextCol = d < $ { l - 1 } ;
bool hasNextRow = coords . z < $ { n - 1 } ;
// In parallel, construct four corners for all four components in
// packed 2x2 cell.
vec4 topLeft = vec4 (
getAValue ( b , sourceFloorRC . x , sourceFloorRC . y , d ) ,
hasNextCol ? getAValue ( b , sourceFloorRC . x , sourceFloorRC . y , d + 1 )
: 0.0 ,
hasNextRow ? getAValue ( b , sourceFloorRC . x , sourceFloorRC . z , d )
: 0.0 ,
( hasNextRow && hasNextCol ) ?
getAValue ( b , sourceFloorRC . x , sourceFloorRC . z , d + 1 ) : 0.0 ) ;
vec4 bottomLeft = vec4 (
getAValue ( b , sourceCeilRC . x , sourceFloorRC . y , d ) ,
hasNextCol ? getAValue ( b , sourceCeilRC . x , sourceFloorRC . y , d + 1 )
: 0.0 ,
hasNextRow ? getAValue ( b , sourceCeilRC . x , sourceFloorRC . z , d )
: 0.0 ,
( hasNextRow && hasNextCol ) ?
getAValue ( b , sourceCeilRC . x , sourceFloorRC . z , d + 1 ) : 0.0 ) ;
vec4 topRight = vec4 (
getAValue ( b , sourceFloorRC . x , sourceCeilRC . y , d ) ,
hasNextCol ? getAValue ( b , sourceFloorRC . x , sourceCeilRC . y , d + 1 )
: 0.0 ,
hasNextRow ? getAValue ( b , sourceFloorRC . x , sourceCeilRC . z , d )
: 0.0 ,
( hasNextRow && hasNextCol ) ?
getAValue ( b , sourceFloorRC . x , sourceCeilRC . z , d + 1 ) : 0.0 ) ;
vec4 bottomRight = vec4 (
getAValue ( b , sourceCeilRC . x , sourceCeilRC . y , d ) ,
hasNextCol ? getAValue ( b , sourceCeilRC . x , sourceCeilRC . y , d + 1 )
: 0.0 ,
hasNextRow ? getAValue ( b , sourceCeilRC . x , sourceCeilRC . z , d )
: 0.0 ,
( hasNextRow && hasNextCol ) ?
getAValue ( b , sourceCeilRC . x , sourceCeilRC . z , d + 1 ) : 0.0 ) ;
vec3 fracRC = sourceFracIndexRC - vec3 ( sourceFloorRC ) ;
vec4 top = mix ( topLeft , topRight , fracRC . yyzz ) ;
vec4 bottom = mix ( bottomLeft , bottomRight , fracRC . yyzz ) ;
vec4 newValue = mix ( top , bottom , fracRC . x ) ;
setOutput ( newValue ) ;
}
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` }};function $ Ae(e){let{inputs:t,backend:n,attrs:r}=e,{images:s}=t,{alignCorners:a,halfPixelCenters:o,size:i}=r,[l,u]=i,c=ae().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new EAe(s.shape,l,u,a,o):new CAe(s.shape,l,u,a,o);return n.runWebGLProgram(c,[s],"float32")}var _Ae={kernelName:Nl,backendName:"webgl",kernelFunc: $ Ae},RAe=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,r,s]=t,[,a,o]=e,i=[n&&a>1?r-1:r,n&&o>1?s-1:s],l=[n&&a>1?a-1:a,n&&o>1?o-1:o],u=i[0]/l[0],c=i[1]/l[1],d=1/u,h=1/c,p=Math.ceil(d)*2+2,f=Math.ceil(h)*2+2;this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
float accumulator = 0.0 ;
const float heightScale = float ( $ { u } ) ;
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const float widthScale = float ( $ { c } ) ;
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const float invHeightScale = float ( $ { d } ) ;
const float invWidthScale = float ( $ { h } ) ;
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const int winHeight = int ( $ { p } ) ;
const int winWidth = int ( $ { f } ) ;
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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 >= $ { a } ) {
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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 >= $ { o } ) {
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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 ) , $ { r - 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 ) , $ { s - 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 ;
}
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if ( r == bottomDxRIndex && c == leftDxCIndex ) {
// bottomLeft
accumulator += getDy ( b , dyR , dyC , d ) * dxRLerp * inverseDxCLerp ;
}
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if ( r == bottomDxRIndex && c == rightDxCIndex ) {
// bottomRight
accumulator += getDy ( b , dyR , dyC , d ) * dxRLerp * dxCLerp ;
}
}
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}
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// End loop over dy
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setOutput ( accumulator ) ;
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}
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` }};function DAe(e){let{inputs:t,backend:n,attrs:r}=e,{images:s,dy:a}=t,{alignCorners:o}=r,i=new RAe(a.shape,s.shape,o);return n.runWebGLProgram(i,[a],a.dtype)}var FAe={kernelName:qy,backendName:"webgl",kernelFunc:DAe},MAe=class{constructor(e,t,n,r,s){this.variableNames=["A"],this.outputShape=[];let[a,o,i,l]=e;this.outputShape=[a,t,n,l];let u=[r&&t>1?o-1:o,r&&n>1?i-1:i],c=[r&&t>1?t-1:t,r&&n>1?n-1:n],d=r?"0.5":"0.0",h;s?h="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":h="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
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const vec2 effectiveInputOverOutputRatioRC = vec2 (
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$ { u [ 0 ] / c [ 0 ] } ,
$ { u [ 1 ] / c [ 1 ] } ) ;
const vec2 inputShapeRC = vec2 ( $ { o } . 0 , $ { i } . 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 = $ { h } ;
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// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestRC = ivec2 (
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min ( inputShapeRC - 1.0 , floor ( sourceFracIndexRC + $ { d } ) ) ) ;
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float newValue = getA ( b , sourceNearestRC . x , sourceNearestRC . y , d ) ;
setOutput ( newValue ) ;
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}
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` }},OAe=class{constructor(e,t,n,r,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[a,o,i,l]=e;this.outputShape=[a,t,n,l];let u=[r&&t>1?o-1:o,r&&n>1?i-1:i],c=[r&&t>1?t-1:t,r&&n>1?n-1:n],d=r?"0.5":"0.0",h;s?h="max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":h="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
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const vec3 effectiveInputOverOutputRatioRC = vec3 (
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$ { u [ 0 ] / c [ 0 ] } ,
$ { u [ 1 ] / c [ 1 ] } ,
$ { u [ 1 ] / c [ 1 ] } ) ;
const vec3 inputShapeRC = vec3 ( $ { o } . 0 , $ { i } . 0 ,
$ { i } . 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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}
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
// Calculate values for next column in yRC.z.
ivec3 yRC = coords . yzz + ivec3 ( 0 , 0 , 1 ) ;
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// Fractional source index.
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vec3 sourceFracIndexRC = $ { h } ;
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// Compute the coordinators of nearest neighbor point.
ivec3 sourceNearestRC = ivec3 (
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min ( inputShapeRC - 1.0 , floor ( sourceFracIndexRC + $ { d } ) ) ) ;
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// Should we calculate next column and row elements in 2x2 packed cell.
bool hasNextCol = d < $ { l - 1 } ;
bool hasNextRow = coords . z < $ { n - 1 } ;
vec4 newValue = vec4 (
getAValue ( b , sourceNearestRC . x , sourceNearestRC . y , d ) ,
hasNextCol ? getAValue ( b , sourceNearestRC . x , sourceNearestRC . y , d + 1 )
: 0.0 ,
hasNextRow ? getAValue ( b , sourceNearestRC . x , sourceNearestRC . z , d )
: 0.0 ,
( hasNextRow && hasNextCol ) ?
getAValue ( b , sourceNearestRC . x , sourceNearestRC . z , d + 1 ) : 0.0 ) ;
setOutput ( newValue ) ;
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}
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` }};function PAe(e){let{inputs:t,backend:n,attrs:r}=e,{images:s}=t,{alignCorners:a,halfPixelCenters:o,size:i}=r,[l,u]=i,c=ae().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new OAe(s.shape,l,u,a,o):new MAe(s.shape,l,u,a,o);return n.runWebGLProgram(c,[s],s.dtype)}var zAe={kernelName:af,backendName:"webgl",kernelFunc:PAe},LAe=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,r,s]=t,[,a,o]=e,i=[n&&a>1?r-1:r,n&&o>1?s-1:s],l=[n&&a>1?a-1:a,n&&o>1?o-1:o],u=i[0]/l[0],c=i[1]/l[1],d=1/u,h=1/c,p=Math.ceil(d)*2+2,f=Math.ceil(h)*2+2;this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
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float accumulator = 0.0 ;
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const float heightScale = float ( $ { u } ) ;
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const float widthScale = float ( $ { c } ) ;
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const float invHeightScale = float ( $ { d } ) ;
const float invWidthScale = float ( $ { h } ) ;
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const int winHeight = int ( $ { p } ) ;
const int winWidth = int ( $ { f } ) ;
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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 ) ) ) ;
float startCLerp = floor ( float ( c ) * invWidthScale ) ;
int startDyC = int ( floor ( startCLerp - float ( winWidth / 2 ) ) ) ;
// Loop over dy
for ( int dyROffset = 0 ; dyROffset < winHeight ; dyROffset ++ ) {
int dyR = dyROffset + startDyR ;
// Guard against the window exceeding the bounds of dy
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if ( dyR < 0 || dyR >= $ { a } ) {
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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 >= $ { o } ) {
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continue ;
}
float sourceFracRow =
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float ( $ { i [ 0 ] } ) *
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( float ( dyR ) / float ( $ { l [ 0 ] } ) ) ;
float sourceFracCol =
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float ( $ { i [ 1 ] } ) *
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( float ( dyC ) / float ( $ { l [ 1 ] } ) ) ;
int sourceNearestRow = int ( min (
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float ( int ( $ { r } ) - 1 ) ,
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$ { n } ? float ( round ( sourceFracRow ) ) :
float ( floor ( sourceFracRow ) ) ) ) ;
int sourceNearestCol = int ( min (
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float ( int ( $ { s } ) - 1 ) ,
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$ { n } ? float ( round ( sourceFracCol ) ) :
float ( floor ( sourceFracCol ) ) ) ) ;
if ( r == sourceNearestRow && c == sourceNearestCol ) {
accumulator += getDy ( b , dyR , dyC , d ) ;
}
}
}
// End loop over dy
setOutput ( accumulator ) ;
}
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` }};function BAe(e){let{inputs:t,backend:n,attrs:r}=e,{images:s,dy:a}=t,{alignCorners:o}=r,i=new LAe(a.shape,s.shape,o);return n.runWebGLProgram(i,[a],a.dtype)}var WAe={kernelName:jy,backendName:"webgl",kernelFunc:BAe},VAe=class{constructor(e,t){this.variableNames=["x"];let n=e.length;if(n>4)throw new Error( ` WebGL backend : Reverse of rank - $ { n } tensor is not yet supported ` );if(this.outputShape=e,n===1){this.userCode= `
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void main ( ) {
int coord = getOutputCoords ( ) ;
setOutput ( getX ( $ { e [ 0 ] } - coord - 1 ) ) ;
}
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` ;return}let r=o=>t.indexOf(o)!==-1&&e[o]!==1? ` $ { e [ o ] } - coords [ $ { o } ] - 1 ` : ` coords [ $ { o } ] ` ,s=e.map((o,i)=>r(i)).join(","),a=It(n);this.userCode= `
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void main ( ) {
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$ { a } coords = getOutputCoords ( ) ;
setOutput ( getX ( $ { s } ) ) ;
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}
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` }},UAe=class{constructor(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;let n=e.length;if(n>4)throw new Error( ` WebGL backend : Reverse of rank - $ { n } tensor is not yet supported ` );this.outputShape=e;let r=Vn("rc",n),s= ` $ { r [ n - 1 ] } + 1 < $ { this . outputShape [ n - 1 ] } ` ,a= ` $ { r [ n - 2 ] } + 1 < $ { this . outputShape [ n - 2 ] } ` ,o=It(n);n===1?this.userCode= `
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void main ( ) {
int rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
result . r = getChannel ( getX ( $ { e [ 0 ] } - rc - 1 ) ,
$ { e [ 0 ] } - rc - 1 ) ;
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if ( $ { s } ) {
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result . g = getChannel ( getX ( $ { e [ 0 ] } - ( rc + 1 ) - 1 ) ,
$ { e [ 0 ] } - ( rc + 1 ) - 1 ) ;
}
setOutput ( result ) ;
}
` :this.userCode= `
void main ( ) {
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$ { o } rc = getOutputCoords ( ) ;
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vec4 result = vec4 ( 0. ) ;
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result . r = $ { i ( r . slice ( ) ) } ;
if ( $ { s } ) {
result . g = $ { l ( r . slice ( ) ) } ;
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}
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if ( $ { a } ) {
result . b = $ { u ( r . slice ( ) ) } ;
if ( $ { s } ) {
result . a = $ { c ( r . slice ( ) ) } ;
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}
}
setOutput ( result ) ;
}
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` ;function i(p){return d(p)}function l(p){return p[n-1]="("+p[n-1]+" + 1)",d(p)}function u(p){return p[n-2]="("+p[n-2]+" + 1)",d(p)}function c(p){return p[n-1]="("+p[n-1]+" + 1)",p[n-2]="("+p[n-2]+" + 1)",d(p)}function d(p){let f=e.map((y,A)=>h(A,p)),m=f.join(","),g=f.slice(-2).join(",");return ` getChannel ( getX ( $ { m } ) , vec2 ( $ { g } ) ) ` }function h(p,f){return t.indexOf(p)!==-1&&e[p]!==1? ` $ { e [ p ] } - $ { f [ p ] } - 1 ` : ` $ { f [ p ] } ` }}};function HAe(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{dims:a}=r,o=s.shape.length,i=k.parseAxisParam(a,s.shape);if(o===0)return gr({inputs:{x:s},backend:n});let l=ae().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new UAe(s.shape,i):new VAe(s.shape,i);return n.runWebGLProgram(l,[s],s.dtype)}var GAe={kernelName:El,backendName:"webgl",kernelFunc:HAe},jAe=class{constructor(e,t){this.variableNames=["Image"],this.outputShape=[];let n=e[1],r=e[2];this.outputShape=e;let s="";typeof t=="number"?s= ` float outputValue = $ { t . toFixed ( 2 ) } ; ` :s= `
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vec3 fill = vec3 ( $ { t . join ( "," ) } ) ;
float outputValue = fill [ coords [ 3 ] ] ; ` ,this.userCode= `
uniform vec4 params ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int x = coords [ 2 ] ;
int y = coords [ 1 ] ;
float coordXFloat = ( float ( x ) - params [ 0 ] ) * params [ 3 ] -
( float ( y ) - params [ 1 ] ) * params [ 2 ] ;
float coordYFloat = ( float ( x ) - params [ 0 ] ) * params [ 2 ] +
( float ( y ) - params [ 1 ] ) * params [ 3 ] ;
int coordX = int ( round ( coordXFloat + params [ 0 ] ) ) ;
int coordY = int ( round ( coordYFloat + params [ 1 ] ) ) ;
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$ { s }
if ( coordX >= 0 && coordX < $ { r } && coordY >= 0 && coordY < $ { n } ) {
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outputValue = getImage ( coords [ 0 ] , coordY , coordX , coords [ 3 ] ) ;
}
setOutput ( outputValue ) ;
}
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` }getCustomSetupFunc(e,t,n,r){return(s,a)=>{this.paramsLoc==null&&(this.paramsLoc=s.getUniformLocationNoThrow(a,"params")),s.gl.uniform4f(this.paramsLoc,e,t,n,r)}}},qAe={kernelName:pd,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{image:r}=e,{radians:s,fillValue:a,center:o}=t,i=n,l=new jAe(r.shape,a),[u,c]=R.getImageCenter(o,r.shape[1],r.shape[2]),d=l.getCustomSetupFunc(u,c,Math.sin(s),Math.cos(s));return i.runWebGLProgram(l,[r],r.dtype,d)}},KAe= `
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// OpenGL ES does not support round function.
// The algorithm is based on banker's rounding.
float base = floor ( x ) ;
if ( ( x - base ) < 0.5 ) {
return floor ( x ) ;
} else if ( ( x - base ) > 0.5 ) {
return ceil ( x ) ;
} else {
if ( mod ( base , 2.0 ) == 0.0 ) {
return base ;
} else {
return base + 1.0 ;
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}
}
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` ,XAe=it({opSnippet:KAe}),ZAe={kernelName: $ l,backendName:"webgl",kernelFunc:XAe},YAe="return inversesqrt(x);",JAe=it({opSnippet:YAe,cpuKernelImpl:Tpe}),QAe={kernelName:Oo,backendName:"webgl",kernelFunc:JAe},p9=class{constructor(e,t,n,r,s,a,o=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;let i=It(s.length),l=It(a.length),u="";n===1?u="i":n===2&&(u="i, j");let c= ` getIndices ( $ { u } ) ` ,d="";r===1?d="i":r===2&&(d="i, coords[1]");let h= ` getUpdates ( $ { d } ) ` ,p=t>1?"strides[j]":"strides";this.userCode= `
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$ { i } strides = $ { i } ( $ { s } ) ;
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void main ( ) {
$ { l } coords = getOutputCoords ( ) ;
float sum = 0.0 ;
bool found = false ;
for ( int i = 0 ; i < $ { e } ; i ++ ) {
int flattenedIndex = 0 ;
for ( int j = 0 ; j < $ { t } ; j ++ ) {
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int index = round ( $ { c } ) ;
flattenedIndex += index * $ { p } ;
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}
if ( flattenedIndex == coords [ 0 ] ) {
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sum += $ { h } ;
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found = true ;
}
}
setOutput ( mix ( getDefaultValue ( ) , sum , float ( found ) ) ) ;
}
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` }};function e1e(e){let{inputs:t,backend:n,attrs:r}=e,{indices:s,updates:a}=t,{shape:o}=r,{sliceRank:i,numUpdates:l,sliceSize:u,strides:c,outputSize:d}=R.calculateShapes(a,s,o),h=[d/u,u];if(d===0)return n.makeTensorInfo(o,s.dtype);let p=ve({inputs:{x:s},backend:n,attrs:{shape:[l,i]}}),f=ve({inputs:{x:a},backend:n,attrs:{shape:[l,u]}}),m=n.makeTensorInfo([],"float32",new Float32Array([0])),g=new p9(l,i,p.shape.length,f.shape.length,c,h),y=n.runWebGLProgram(g,[f,p,m],f.dtype),A=ve({inputs:{x:y},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(m),A}var t1e={kernelName:ed,backendName:"webgl",kernelFunc:e1e},n1e=class{constructor(e,t,n){this.variableNames=["c","a","b"],this.outputShape=t;let r,s;if(n>4)throw Error( ` Where for rank $ { n } is not yet supported ` );if(n===1)s="resRC",r="resRC";else{let o=["resRC.x","resRC.y","resRC.z","resRC.w"],i=[],l=[];for(let u=0;u<t.length;u++)l.push( ` $ { o [ u ] } ` ),u<e&&i.push( ` $ { o [ u ] } ` );r=i.join(),s=l.join()}let a=It(n);this.userCode= `
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void main ( ) {
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$ { a } resRC = getOutputCoords ( ) ;
float cVal = getC ( $ { r } ) ;
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if ( cVal >= 1.0 ) {
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setOutput ( getA ( $ { s } ) ) ;
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} else {
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setOutput ( getB ( $ { s } ) ) ;
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}
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}
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` }};function r1e(e){let{inputs:t,backend:n}=e,{condition:r,t:s,e:a}=t,o=new n1e(r.shape.length,s.shape,s.shape.length);return n.runWebGLProgram(o,[r,s,a],qr(s.dtype,a.dtype))}var s1e={kernelName:td,backendName:"webgl",kernelFunc:r1e},a1e= `
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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 = $ { R . SELU _SCALEALPHA } ;
float scale = $ { R . SELU _SCALE } ;
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return ( x >= 0.0 ) ? scale * x : scaleAlpha * ( exp ( x ) - 1.0 ) ;
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` ,o1e=it({opSnippet:a1e}),i1e={kernelName:nd,backendName:"webgl",kernelFunc:o1e},l1e="return 1.0 / (1.0 + exp(-1.0 * x));",u1e=it({opSnippet:l1e}),c1e={kernelName:Rl,backendName:"webgl",kernelFunc:u1e},d1e= `
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if ( isnan ( x ) ) { return 0.0 ; }
return sign ( x ) ;
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` ,h1e=it({opSnippet:d1e}),p1e={kernelName:ad,backendName:"webgl",kernelFunc:h1e},f1e=CE+ `
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return sin ( x ) ;
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` ,m1e=it({opSnippet:f1e}),g1e={kernelName:_l,backendName:"webgl",kernelFunc:m1e},y1e= `
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float e2x = exp ( x ) ;
return ( e2x - 1.0 / e2x ) / 2.0 ;
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` ,A1e=it({opSnippet:y1e}),x1e={kernelName:sd,backendName:"webgl",kernelFunc:A1e},b1e= `
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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 ;
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}
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else if ( too _small ) {
result = exp _x ;
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}
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else {
result = log ( exp _x + 1.0 ) ;
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}
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return result ;
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` ,v1e=it({opSnippet:b1e}),w1e={kernelName:od,backendName:"webgl",kernelFunc:v1e},k1e=e=>{let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{blockShape:a,paddings:o}=r;k.assert(s.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let i=a.reduce((y,A)=>y*A),l=[[0,0]];l.push(...o);for(let y=1+a.length;y<s.shape.length;++y)l.push([0,0]);let u=[],c=d9({inputs:{x:s},backend:n,attrs:{paddings:l,constantValue:0}}),d=R.getReshaped(c.shape,a,i,!1),h=R.getPermuted(d.length,a.length,!1),p=R.getReshapedPermuted(c.shape,a,i,!1),f=ve({inputs:{x:c},backend:n,attrs:{shape:d}}),m=Un({inputs:{x:f},backend:n,attrs:{perm:h}}),g=ve({inputs:{x:m},backend:n,attrs:{shape:p}});return u.push(c),u.push(f),u.push(m),u.forEach(y=>n.disposeIntermediateTensorInfo(y)),g},I1e={kernelName:of,backendName:"webgl",kernelFunc:k1e};function S1e(e){let{inputs:t,backend:n}=e,{indices:r,values:s,denseShape:a,defaultValue:o}=t;if(a.shape.length!==1)throw new Error( ` Dense shape must be a vector , saw :
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$ { a . shape } ` );if(r.shape.length!==2)throw new Error( ` Indices must be a matrix , saw :
$ { r . shape } ` );if(s.shape.length!==1)throw new Error( ` Values must be a vector , saw :
$ { s . shape } ` );if(o.shape.length!==0)throw new Error( ` Default value must be a scalar , saw :
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$ { o . shape } ` );let i=n.readSync(r.dataId),l=n.readSync(s.dataId),u=n.readSync(a.dataId),c=n.readSync(o.dataId)[0],[d,h,p,f,m]=Cpe(i,r.shape,r.dtype,l,s.dtype,u,c);return[n.makeTensorInfo(h,r.dtype,d),n.makeTensorInfo([h[0]],s.dtype,p),n.makeTensorInfo([f.length],"bool",new Uint8Array(f.map(g=>Number(g)))),n.makeTensorInfo([m.length],r.dtype,new Int32Array(m))]}var T1e={kernelName:Ky,backendName:"webgl",kernelFunc:S1e};function N1e(e){let{inputs:t,backend:n}=e,{inputIndices:r,inputShape:s,newShape:a}=t;if(r.shape.length!==2)throw new Error( ` Input indices should be a matrix but received shape $ { r . shape } ` );if(s.shape.length!==1)throw new Error( ` Input shape should be a vector but received shape $ { s . shape } ` );if(a.shape.length!==1)throw new Error( ` Target shape should be a vector but received shape $ { a . shape } ` );let o=Array.from(n.readSync(s.dataId)),i=n.readSync(r.dataId),l=Array.from(n.readSync(a.dataId)),[u,c,d]=Epe(i,r.shape,r.dtype,o,l);return[n.makeTensorInfo(c,r.dtype,u),n.makeTensorInfo([d.length],a.dtype,new Int32Array(d))]}var C1e={kernelName:Xy,backendName:"webgl",kernelFunc:N1e};function E1e(e){let{inputs:t,backend:n}=e,{data:r,indices:s,segmentIds:a}=t;if(r.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(s.shape.length!==1)throw new Error( ` Indices should be a vector but received shape
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$ { s . shape } ` );if(a.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
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$ { a . shape } ` );let o=n.readSync(r.dataId),i=n.readSync(s.dataId),l=n.readSync(a.dataId),[u,c]=fE(o,r.shape,r.dtype,i,l,!0);return n.makeTensorInfo(c,r.dtype,u)}var $ 1e={kernelName:Zy,backendName:"webgl",kernelFunc:E1e};function _1e(e){let{inputs:t,backend:n}=e,{data:r,indices:s,segmentIds:a}=t;if(r.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(s.shape.length!==1)throw new Error( ` Indices should be a vector but received shape
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$ { s . shape } ` );if(a.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
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$ { a . shape } ` );let o=n.readSync(r.dataId),i=n.readSync(s.dataId),l=n.readSync(a.dataId),[u,c]=fE(o,r.shape,r.dtype,i,l);return n.makeTensorInfo(c,r.dtype,u)}var R1e={kernelName:Yy,backendName:"webgl",kernelFunc:_1e};function D1e(e){let{inputs:t,backend:n,attrs:r}=e,{sparseIndices:s,sparseValues:a,defaultValue:o}=t,{outputShape:i}=r,{sliceRank:l,numUpdates:u,strides:c,outputSize:d}=R.calculateShapes(a,s,i),h=!1,p=new p9(u,l,s.shape.length,a.shape.length,c,[d,1],h),f=n.runWebGLProgram(p,[a,s,o],a.dtype),m=ve({inputs:{x:f},backend:n,attrs:{shape:i}});return n.disposeIntermediateTensorInfo(f),m}var F1e={kernelName:Jy,backendName:"webgl",kernelFunc:D1e};function M1e(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{numOrSizeSplits:a,axis:o}=r,i=k.parseAxisParam(o,s.shape)[0],l=R.prepareSplitSize(s,a,i),u=s.shape.length,c=new Array(u).fill(0),d=s.shape.slice();return l.map(h=>{let p=[...d];p[i]=h;let f=fh({inputs:{x:s},backend:n,attrs:{begin:c,size:p}});return c[i]+=h,f})}var O1e={kernelName:id,backendName:"webgl",kernelFunc:M1e},P1e="return sqrt(x);",z1e=it({opSnippet:P1e}),L1e={kernelName:Dl,backendName:"webgl",kernelFunc:z1e},B1e="return x * x;",W1e=it({opSnippet:B1e}),V1e={kernelName:lf,backendName:"webgl",kernelFunc:W1e},f9="return (a - b) * (a - b);",U1e=Nn({opSnippet:f9,packedOpSnippet:f9}),H1e={kernelName:Po,backendName:"webgl",kernelFunc:U1e};function G1e({inputs:e,attrs:t,backend:n}){let{x:r}=e,s=ys+ `
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return x > 0.0 ? 1.0 : float ( $ { t . alpha } ) ;
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` ,a=new Qa(r.shape,s);return n.runWebGLProgram(a,[r],r.dtype)}var j1e={kernelName:Bo,backendName:"webgl",kernelFunc:G1e},q1e=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=n;let r=n.length,s=It(n.length),a=It(n.length),o="";if(r===1)o="coords * strides + begin";else{let i=0;o=n.map((l,u)=>(i++,n.length===1? ` coords * strides [ $ { u } ] + begin [ $ { u } ] ` : ` coords [ $ { i - 1 } ] * strides [ $ { u } ] + begin [ $ { u } ] ` )).join(",")}this.userCode= `
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$ { s } begin = $ { s } ( $ { e } ) ;
$ { s } strides = $ { s } ( $ { t } ) ;
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void main ( ) {
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$ { a } coords = getOutputCoords ( ) ;
setOutput ( getX ( $ { o } ) ) ;
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}
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` }};function K1e(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{begin:a,end:o,strides:i,beginMask:l,endMask:u,ellipsisMask:c,newAxisMask:d,shrinkAxisMask:h}=r,{nonStrided:p, $ begin:f, $ strides:m,size:g,newShape:y,outShape:A}=En.sliceInfo(s.shape,a,o,i,l,u,c,d,h),x=ve({inputs:{x:s},backend:n,attrs:{shape:y}}),b;if(p){let w=fh({inputs:{x},backend:n,attrs:{begin:f,size:g}});b=ve({inputs:{x:w},backend:n,attrs:{shape:A}}),n.disposeIntermediateTensorInfo(w)}else if(A.some(w=>w===0))b=n.makeTensorInfo(A,s.dtype,[]);else if(n.shouldExecuteOnCPU([x])){let I=n.texData.get(x.dataId).values,E=Le(x.shape,x.dtype,I),F= $ pe(A,E,m,f);b=n.makeTensorInfo(A,x.dtype,F.values)}else{let S=new q1e(f,m,A);b=n.runWebGLProgram(S,[x],x.dtype)}let v=ve({inputs:{x:b},backend:n,attrs:{shape:A}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(b),v}var X1e={kernelName:ld,backendName:"webgl",kernelFunc:K1e};function Z1e(e){let{inputs:t,backend:n,attrs:r}=e,{separator:s,nGramWidths:a,leftPad:o,rightPad:i,padWidth:l,preserveShortSequences:u}=r,{data:c,dataSplits:d}=t,h=n.readSync(c.dataId),p=n.readSync(d.dataId),[f,m]=_pe(h,p,s,a,o,i,l,u);return[n.makeTensorInfo([f.length],"string",f),n.makeTensorInfo(d.shape,"int32",m)]}var Y1e={kernelName:Qy,backendName:"webgl",kernelFunc:Z1e};function J1e(e){let{inputs:t,backend:n,attrs:r}=e,{skipEmpty:s}=r,{input:a,delimiter:o}=t;if(a.dtype!=="string")throw new Error("Input must be of datatype string");if(a.shape.length!==1)throw new Error( ` Input must be a vector , got shape : $ { a . shape } ` );if(o.shape.length!==0)throw new Error( ` Delimiter must be a scalar , got shape : $ { o . shape } ` );let i=n.readSync(a.dataId),l=n.readSync(o.dataId)[0],[u,c,d]=Rpe(i,l,s),h=c.length;return[n.makeTensorInfo([h,2],"int32",u),n.makeTensorInfo([h],"string",c),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var Q1e={kernelName:eA,backendName:"webgl",kernelFunc:J1e};function exe(e){let{inputs:t,backend:n,attrs:r}=e,{numBuckets:s}=r,{input:a}=t;if(a.dtype!=="string")throw new Error("Input must be of datatype string");if(s<=0)throw new Error("Number of buckets must be at least 1");let o=n.readSync(a.dataId),i=Dpe(o,s);return n.makeTensorInfo(a.shape,"int32",i)}var txe={kernelName:tA,backendName:"webgl",kernelFunc:exe},nxe="return tan(x);",rxe=it({opSnippet:nxe}),sxe={kernelName:Ol,backendName:"webgl",kernelFunc:rxe},axe= `
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float e2x = exp ( - 2.0 * abs ( x ) ) ;
return sign ( x ) * ( 1.0 - e2x ) / ( 1.0 + e2x ) ;
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` ,oxe=it({opSnippet:axe}),ixe={kernelName:Pl,backendName:"webgl",kernelFunc:oxe},lxe=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let a=0;a<n.length;a++)n[a]=e[a]*t[a];this.outputShape=n,this.rank=n.length;let r=It(this.rank),s=uxe(e);this.userCode= `
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void main ( ) {
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$ { r } resRC = getOutputCoords ( ) ;
setOutput ( getA ( $ { s } ) ) ;
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}
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` }};function uxe(e){let t=e.length;if(t>5)throw Error( ` Tile for rank $ { t } is not yet supported ` );if(t===1)return ` imod ( resRC , $ { e [ 0 ] } ) ` ;let n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[];for(let s=0;s<e.length;s++)r.push( ` imod ( $ { n [ s ] } , $ { e [ s ] } ) ` );return r.join()}function m9(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{reps:a}=r;if(s.dtype==="string"||s.shape.length>5){let l=n.readSync(s.dataId),u=s.dtype==="string"?l.map(h=>k.decodeString(h)):l,c=Le(s.shape,s.dtype,u),d=Mpe(c,a);return n.makeTensorInfo(d.shape,d.dtype,d.values)}let o=new lxe(s.shape,a);return n.runWebGLProgram(o,[s],s.dtype)}var cxe={kernelName:Lo,backendName:"webgl",kernelFunc:m9};function dxe(e){let{inputs:t,backend:n,attrs:r}=e,{x:s}=t,{k:a,sorted:o}=r,i=n.readSync(s.dataId),[l,u]=Ope(i,s.shape,s.dtype,a,o);return[n.makeTensorInfo(l.shape,l.dtype,l.values),n.makeTensorInfo(u.shape,u.dtype,u.values)]}var hxe={kernelName:ud,backendName:"webgl",kernelFunc:dxe},pxe=class{constructor(e,t,n,r,s,a){this.variableNames=["Image","Transforms"],this.outputShape=a;let o=n==="nearest"?1:2,i;switch(r){case"constant":i=1;break;case"reflect":i=2;break;case"wrap":i=3;break;case"nearest":i=4;break;default:i=1;break}this.userCode= `
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float mapCoord ( float outCoord , float len ) {
float inCoord = outCoord ;
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if ( $ { i } == 2 ) {
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if ( inCoord < 0.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz2 = 2.0 * len ;
if ( inCoord < sz2 ) {
inCoord = sz2 * float ( int ( float ( - inCoord / sz2 ) ) ) +
inCoord ;
}
inCoord = inCoord < - len ? inCoord + sz2 : - inCoord - 1.0 ;
}
} else if ( inCoord > len - 1.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz2 = 2.0 * len ;
inCoord -= sz2 * float ( int ( float ( inCoord / sz2 ) ) ) ;
if ( inCoord >= len ) {
inCoord = sz2 - inCoord - 1.0 ;
}
}
}
return clamp ( inCoord , 0.0 , len - 1.0 ) ;
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} else if ( $ { i } == 3 ) {
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if ( inCoord < 0.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz = len - 1.0 ;
inCoord += len * ( float ( int ( float ( - inCoord / sz ) ) ) + 1.0 ) ;
}
} else if ( inCoord > len - 1.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz = len - 1.0 ;
inCoord -= len * float ( int ( float ( inCoord / sz ) ) ) ;
}
}
return clamp ( inCoord , 0.0 , len - 1.0 ) ;
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} else if ( $ { i } == 4 ) {
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return clamp ( outCoord , 0.0 , len - 1.0 ) ;
} else {
return outCoord ;
}
}
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float readWithFillValue ( int batch , int coordY , int coordX ,
int channel ) {
float outputValue ;
if ( 0 <= coordY && coordY < $ { e } && 0 <= coordX && coordX < $ { t } ) {
outputValue = getImage ( batch , coordY , coordX , channel ) ;
} else {
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outputValue = float ( $ { s } ) ;
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}
return outputValue ;
}
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
float outputValue ;
int batch = coords [ 0 ] ;
int x = coords [ 2 ] ;
int y = coords [ 1 ] ;
int channel = coords [ 3 ] ;
float xf = float ( x ) ;
float yf = float ( y ) ;
float a1 = getTransforms ( batch , 0 ) ;
float a2 = getTransforms ( batch , 1 ) ;
float a3 = getTransforms ( batch , 2 ) ;
float b1 = getTransforms ( batch , 3 ) ;
float b2 = getTransforms ( batch , 4 ) ;
float b3 = getTransforms ( batch , 5 ) ;
float c1 = getTransforms ( batch , 6 ) ;
float c2 = getTransforms ( batch , 7 ) ;
float projection = c1 * xf + c2 * yf + 1.0 ;
if ( projection == 0.0 ) {
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outputValue = float ( $ { s } ) ;
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} else {
float inX = ( a1 * xf + a2 * yf + a3 ) / projection ;
float inY = ( b1 * xf + b2 * yf + b3 ) / projection ;
float mapX = mapCoord ( inX , float ( $ { t } ) ) ;
float mapY = mapCoord ( inY , float ( $ { e } ) ) ;
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if ( $ { o } == 1 ) {
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int coordY = int ( round ( mapY ) ) ;
int coordX = int ( round ( mapX ) ) ;
outputValue = readWithFillValue ( batch , coordY , coordX ,
channel ) ;
} else {
float yFloor = floor ( mapY ) ;
float xFloor = floor ( mapX ) ;
float yCeil = yFloor + 1.0 ;
float xCeil = xFloor + 1.0 ;
float valueYFloor = ( xCeil - mapX ) *
readWithFillValue ( batch , int ( yFloor ) , int ( xFloor ) , channel ) +
( mapX - xFloor ) *
readWithFillValue ( batch , int ( yFloor ) , int ( xCeil ) , channel ) ;
float valueYCeil = ( xCeil - mapX ) *
readWithFillValue ( batch , int ( yCeil ) , int ( xFloor ) , channel ) +
( mapX - xFloor ) *
readWithFillValue ( batch , int ( yCeil ) , int ( xCeil ) , channel ) ;
outputValue = ( yCeil - mapY ) * valueYFloor +
( mapY - yFloor ) * valueYCeil ;
}
}
setOutput ( outputValue ) ;
}
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` }};function fxe(e){let{inputs:t,backend:n,attrs:r}=e,{image:s,transforms:a}=t,{interpolation:o,fillMode:i,fillValue:l,outputShape:u}=r,[c,d,h,p]=s.shape,[f,m]=u!=null?u:[d,h],g=[c,f,m,p],y=new pxe(d,h,o,i,l,g);return n.runWebGLProgram(y,[s,a],"float32")}var mxe={kernelName:cd,backendName:"webgl",kernelFunc:fxe};function gxe(e){let{inputs:t,attrs:n,backend:r}=e,{axis:s}=n,{x:a}=t;mu(a,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let o=r.readSync(a.dataId),{outputValues:i,outputShape:l,indices:u}=Ppe(o,s,a.shape,a.dtype);return[r.makeTensorInfo(l,a.dtype,i),r.makeTensorInfo([u.length],"int32",u)]}var yxe={kernelName:nA,backendName:"webgl",kernelFunc:gxe};function Axe(e){let{inputs:t,backend:n,attrs:r}=e,{value:s}=t,{axis:a}=r;a<0&&(a+=s.shape.length);let o=s,i=o.shape.length,l=s.shape[a],u=new Array(i-1),c=0;for(let m=0;m<i;m++)m!==a&&(u[c++]=o.shape[m]);let d=[],h=new Array(i).fill(0),p=o.shape.slice();p[a]=1;let f=new Array(l);for(let m=0;m<f.length;m++){h[a]=m;let g=fh({inputs:{x:o},backend:n,attrs:{begin:h,size:p}}),y=ve({inputs:{x:g},backend:n,attrs:{shape:u}});f[m]=y,d.push(g)}return d.forEach(m=>n.disposeIntermediateTensorInfo(m)),f}var xxe={kernelName:dd,backendName:"webgl",kernelFunc:Axe},bxe=class{constructor(e,t){this.variableNames=["x","segmentIds"];let n=e.windowSize,r=e.batchSize,s=e.inSize,a=e.numSegments,o=a*Math.ceil(s/n);this.outputShape=[r,o];let i="0.0",l="sumValue",u=Math.floor(n/4)*4,c=n%4,d= `
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sumValue += dot ( values , segFilter ) ;
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` ,h="";s%n>0&&(h= `
if ( inIdx < 0 || inIdx >= $ { s } ) {
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return initializationValue ;
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}
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` );let p="";s%n>0&&(p= `
if ( inIdx < 0 || inIdx >= $ { s } ) {
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return - 1.0 ;
}
` ),this.userCode= `
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const float initializationValue = $ { i } ;
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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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}
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float getSegmentIdAtIndex ( int inIdx ) {
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$ { p }
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return getSegmentIds ( inIdx ) ;
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}
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = int ( floor ( float ( outIdx ) / float (
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$ { a } ) ) * float ( $ { n } ) ) ;
int currentSeg = int ( mod ( float ( outIdx ) , float ( $ { a } ) ) ) ;
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float sumValue = 0.0 ;
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for ( int i = 0 ; i < $ { u } ; i += 4 ) {
int inIdx = inOffset + i ;
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
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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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$ { d }
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}
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int inIdx = inOffset + $ { u } ;
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if ( $ { c === 1 } ) {
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vec4 values = vec4 (
getValue ( batch , inIdx ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
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int inIdxSeg = int ( getSegmentIdAtIndex ( inIdx ) ) ;
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vec4 segFilter = vec4 (
int ( getSegmentIdAtIndex ( inIdx ) ) == currentSeg ? 1 : 0 ,
0 ,
0 ,
0
) ;
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$ { d }
} else if ( $ { c === 2 } ) {
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vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
initializationValue ,
initializationValue
) ;
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vec4 segFilter = vec4 (
int ( getSegmentIdAtIndex ( inIdx ) ) == currentSeg ? 1 : 0 ,
int ( getSegmentIdAtIndex ( inIdx + 1 ) ) == currentSeg ? 1 : 0 ,
0 ,
0
) ;
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$ { d }
} else if ( $ { c === 3 } ) {
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vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
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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$ { d }
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}
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setOutput ( $ { l } ) ;
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}
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` }};function vxe(e){let{inputs:t,backend:n,attrs:r}=e,{x:s,segmentIds:a}=t,{numSegments:o}=r,i=s.shape.length,l=[],u=0,c=R.getAxesPermutation([u],i),d=s;c!=null&&(d=Un({inputs:{x:s},backend:n,attrs:{perm:c}}),l.push(d),u=R.getInnerMostAxes(1,i)[0]);let h=R.segment_util.computeOutShape(d.shape,u,o),p=k.sizeFromShape([d.shape[u]]),f=ve({inputs:{x:d},backend:n,attrs:{shape:[-1,p]}});l.push(f);let m=pA(s.dtype),g=(b,v,w,S,I)=>{let E=b.shape[0],F=b.shape[1], $ =R.segment_util.segOpComputeOptimalWindowSize(F,I),_={windowSize: $ ,inSize:F,batchSize:E,numSegments:I},N=new bxe(_,v),P=n.compileAndRun(N,[b,w],S);if(l.push(P),P.shape[1]===I)return P;let B=h9({backend:n,attrs:{start:0,stop:I,step:1,dtype:"float32"}}),j=m9({inputs:{x:B},backend:n,attrs:{reps:[F/ $ ]}});return l.push(B),l.push(j),g(P,v,j,S,I)},y=g(f,"unsortedSegmentSum",a,m,o),A=ve({inputs:{x:y},backend:n,attrs:{shape:h}}),x=A;if(c!=null){l.push(A);let b=R.getUndoAxesPermutation(c);x=Un({inputs:{x},backend:n,attrs:{perm:b}})}return l.forEach(b=>n.disposeIntermediateTensorInfo(b)),x}var wxe={kernelName:uf,backendName:"webgl",kernelFunc:vxe},kxe=[Y2e,eye,Ofe,zfe,Wfe,Hfe,jfe,Xfe,Yfe,Qfe,rme,ame,lme,dme,Ame,fme,vme,Sme,kme,Eme,_me,Dme,Pme,Hme,jme,Jme,e0e,s0e,i0e,yfe,h0e,w0e,I0e,g0e,C0e, $ 0e,T0e,D0e,O0e,L0e,W0e,U0e,j0e,J0e,ege,K0e,rge,oge,lge,hge,gge,bge,kge,Ige,Sge,Nge,Ege,_ge,Dge,Mge,Lge,Vge,Gge,qge,Zge,e2e,s2e,l2e,gfe,c2e,c0e,p2e,g2e,x2e,xfe,k2e,N2e,E2e,O2e,D2e,B2e,U2e,q2e,nye,cye,lye,fye,gye,Aye,oye,bye,wye,Tye, $ ye,Fye,Vye,Ife,Hye,qye,Zye,Qye,Kme,nAe,sAe,oAe,uAe,pAe,vfe,mAe,gAe,Xme,zye,xAe,NAe,kAe,Tfe,_Ae,FAe,zAe,WAe,GAe,qAe,ZAe,QAe,t1e,s1e,i1e,c1e,p1e,g1e,x1e,Vme,Bye,w1e,I1e,T1e,C1e, $ 1e,R1e,F1e,O1e,L1e,V1e,H1e,j1e,X1e,Y1e,Q1e,txe,Lye,Dfe,sxe,ixe,cxe,hxe,mxe,Ffe,yxe,xxe,wxe,rAe];for(let e of kxe)oA(e);var tr;(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"})(tr||(tr={}));var gh;(function(e){e[e.linear=0]="linear",e[e.relu=1]="relu",e[e.relu6=2]="relu6",e[e.prelu=3]="prelu",e[e.leakyrelu=4]="leakyrelu",e[e.sigmoid=5]="sigmoid"})(gh||(gh={}));var g9;function Ixe(e){g9=e.wasm.cwrap(Ll,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function Sxe(e){let{inputs:t,backend:n,attrs:r}=e,{a:s,b:a,bias:o,preluActivationWeights:i}=t;if(s.dtype!=="float32"||a.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:l,transposeB:u,activation:c,leakyreluAlpha:d}=r,h=n.dataIdMap.get(s.dataId).id,p=n.dataIdMap.get(a.dataId).id,f=0;if(o!=null){let I=n.dataIdMap.get(o.dataId);if(I.shape.length!==1)throw new Error( ` _FusedMatMul only supports rank - 1 bias but got rank $ { I . shape . length } . ` );f=I.id}let m=i==null?0:n.dataIdMap.get(i.dataId).id,g=gh[c];if(g==null)throw new Error( ` $ { c } activation not yet supported for FusedConv2D in the wasm backend . ` );let y=l?s.shape[2]:s.shape[1],A=u?a.shape[1]:a.shape[2],x=s.shape[0],b=n.makeOutput([x,y,A],s.dtype),v=n.dataIdMap.get(b.dataId).id,w=new Uint8Array(new Int32Array(s.shape).buffer),S=new Uint8Array(new Int32Array(a.shape).buffer);return g9(h,w,s.shape.length,p,S,a.shape.length,l,u,g,f,m,d||0,v),b}var Txe={kernelName:Ll,backendName:"wasm",setupFunc:Ixe,kernelFunc:Sxe};function Hn(e){let t;function n(s){t=s.wasm.cwrap(e,null,["number","number"])}function r(s){let{backend:a,inputs:{x:o}}=s,i=a.dataIdMap.get(o.dataId).id,l=a.makeOutput(o.shape,o.dtype),u=a.dataIdMap.get(l.dataId).id;return k.sizeFromShape(l.shape)===0||t(i,u),l}return{kernelName:e,backendName:"wasm",setupFunc:n,kernelFunc:r}}var Nxe=Hn(xc);function Gn(e,t,n){let r;function s(o){r=o.wasm.cwrap(e,null,["number","array","number","number","array","number","number","number"])}function a(o){let{backend:i,inputs:l}=o,{a:u,b:c}=l,d=i.dataIdMap.get(u.dataId).id,h=i.dataIdMap.get(c.dataId).id,p=n!=null?n:u.dtype,f=R.assertAndGetBroadcastShape(u.shape,c.shape),m=i.makeOutput(f,p);if(k.sizeFromShape(f)===0)return m;let g=new Uint8Array(new Int32Array(u.shape).buffer),y=new Uint8Array(new Int32
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` ),w.FRAGMENT_IDENTITY=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","void main(void) {","gl_FragColor = texture2D(texture, vUv);","}"].join( `
2021-06-14 16:23:06 +02:00
` ),c=new iwe(m,w.VERTEX_IDENTITY,v);let S=Float32Array.BYTES_PER_ELEMENT,I=4*S;return m.enableVertexAttribArray(c.attribute.pos),m.vertexAttribPointer(c.attribute.pos,2,m.FLOAT,!1,I,0*S),m.enableVertexAttribArray(c.attribute.uv),m.vertexAttribPointer(c.attribute.uv,2,m.FLOAT,!1,I,2*S),p[v]=c,c};d.colorMatrix=function(v){let w=new Float32Array(v);w[4]/=255,w[9]/=255,w[14]/=255,w[19]/=255;let S=w[18]===1&&w[3]===0&&w[8]===0&&w[13]===0&&w[15]===0&&w[16]===0&&w[17]===0&&w[19]===0?d.colorMatrix.SHADER.WITHOUT_ALPHA:d.colorMatrix.SHADER.WITH_ALPHA,I=b(S);m.uniform1fv(I.uniform.m,w),x()},d.colorMatrix.SHADER={},d.colorMatrix.SHADER.WITH_ALPHA=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","uniform float m[20];","void main(void) {","vec4 c = texture2D(texture, vUv);","gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];","gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];","gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];","gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];","}"].join( `
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` ),d.colorMatrix.SHADER.WITHOUT_ALPHA=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","uniform float m[20];","void main(void) {","vec4 c = texture2D(texture, vUv);","gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[4];","gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[9];","gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14];","gl_FragColor.a = c.a;","}"].join( `
2021-06-14 16:23:06 +02:00
` ),d.brightness=function(v){let w=(v||0)+1;d.colorMatrix([w,0,0,0,0,0,w,0,0,0,0,0,w,0,0,0,0,0,1,0])},d.saturation=function(v){let w=(v||0)*2/3+1,S=(w-1)*-.5;d.colorMatrix([w,S,S,0,0,S,w,S,0,0,S,S,w,0,0,0,0,0,1,0])},d.desaturate=function(){d.saturation(-1)},d.contrast=function(v){let w=(v||0)+1,S=-128*(w-1);d.colorMatrix([w,0,0,0,S,0,w,0,0,S,0,0,w,0,S,0,0,0,1,0])},d.negative=function(){d.contrast(-2)},d.hue=function(v){v=(v||0)/180*Math.PI;let w=Math.cos(v),S=Math.sin(v),I=.213,E=.715,F=.072;d.colorMatrix([I+w*(1-I)+S*-I,E+w*-E+S*-E,F+w*-F+S*(1-F),0,0,I+w*-I+S*.143,E+w*(1-E)+S*.14,F+w*-F+S*-.283,0,0,I+w*-I+S*-(1-I),E+w*-E+S*E,F+w*(1-F)+S*F,0,0,0,0,0,1,0])},d.desaturateLuminance=function(){d.colorMatrix([.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,0,0,0,1,0])},d.sepia=function(){d.colorMatrix([.393,.7689999,.18899999,0,0,.349,.6859999,.16799999,0,0,.272,.5339999,.13099999,0,0,0,0,0,1,0])},d.brownie=function(){d.colorMatrix([.5997023498159715,.34553243048391263,-.2708298674538042,0,47.43192855600873,-.037703249837783157,.8609577587992641,.15059552388459913,0,-36.96841498319127,.24113635128153335,-.07441037908422492,.44972182064877153,0,-7.562075277591283,0,0,0,1,0])},d.vintagePinhole=function(){d.colorMatrix([.6279345635605994,.3202183420819367,-.03965408211312453,0,9.651285835294123,.02578397704808868,.6441188644374771,.03259127616149294,0,7.462829176470591,.0466055556782719,-.0851232987247891,.5241648018700465,0,5.159190588235296,0,0,0,1,0])},d.kodachrome=function(){d.colorMatrix([1.1285582396593525,-.3967382283601348,-.03992559172921793,0,63.72958762196502,-.16404339962244616,1.0835251566291304,-.05498805115633132,0,24.732407896706203,-.16786010706155763,-.5603416277695248,1.6014850761964943,0,35.62982807460946,0,0,0,1,0])},d.technicolor=function(){d.colorMatrix([1.9125277891456083,-.8545344976951645,-.09155508482755585,0,11.793603434377337,-.3087833385928097,1.7658908555458428,-.10601743074722245,0,-70.35205161461398,-.231103377548616,-.7501899197440212,1.847597816108189,0,30.950940869491138,0,0,0,1,0])},d.polaroid=function(){d.colorMatrix([1.438,-.062,-.062,0,0,-.122,1.378,-.122,0,0,-.016,-.016,1.483,0,0,0,0,0,1,0])},d.shiftToBGR=function(){d.colorMatrix([0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0])},d.convolution=function(v){let w=new Float32Array(v),S=1/i,I=1/l,E=b(d.convolution.SHADER);m.uniform1fv(E.uniform.m,w),m.uniform2f(E.uniform.px,S,I),x()},d.convolution.SHADER=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","uniform vec2 px;","uniform float m[9];","void main(void) {","vec4 c11 = texture2D(texture, vUv - px);","vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y));","vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y));","vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) );","vec4 c22 = texture2D(texture, vUv);","vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) );","vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) );","vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) );","vec4 c33 = texture2D(texture, vUv + px );","gl_FragColor = ","c11 * m[0] + c12 * m[1] + c22 * m[2] +","c21 * m[3] + c22 * m[4] + c23 * m[5] +","c31 * m[6] + c32 * m[7] + c33 * m[8];","gl_FragColor.a = c22.a;","}"].join( `
` ),d.detectEdges=function(){d.convolution.call(this,[0,1,0,1,-4,1,0,1,0])},d.sobelX=function(){d.convolution.call(this,[-1,0,1,-2,0,2,-1,0,1])},d.sobelY=function(){d.convolution.call(this,[-1,-2,-1,0,0,0,1,2,1])},d.sharpen=function(v){let w=v||1;d.convolution.call(this,[0,-1*w,0,-1*w,1+4*w,-1*w,0,-1*w,0])},d.emboss=function(v){let w=v||1;d.convolution.call(this,[-2*w,-1*w,0,-1*w,1,1*w,0,1*w,2*w])},d.blur=function(v){let w=v/7/i,S=v/7/l,I=b(d.blur.SHADER);m.uniform2f(I.uniform.px,0,S),x(f.INTERMEDIATE),m.uniform2f(I.uniform.px,w,0),x()},d.blur.SHADER=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","uniform vec2 px;","void main(void) {","gl_FragColor = vec4(0.0);","gl_FragColor += texture2D(texture, vUv + vec2(-7.0*px.x, -7.0*px.y))*0.0044299121055113265;","gl_FragColor += texture2D(texture, vUv + vec2(-6.0*px.x, -6.0*px.y))*0.00895781211794;","gl_FragColor += texture2D(texture, vUv + vec2(-5.0*px.x, -5.0*px.y))*0.0215963866053;","gl_FragColor += texture2D(texture, vUv + vec2(-4.0*px.x, -4.0*px.y))*0.0443683338718;","gl_FragColor += texture2D(texture, vUv + vec2(-3.0*px.x, -3.0*px.y))*0.0776744219933;","gl_FragColor += texture2D(texture, vUv + vec2(-2.0*px.x, -2.0*px.y))*0.115876621105;","gl_FragColor += texture2D(texture, vUv + vec2(-1.0*px.x, -1.0*px.y))*0.147308056121;","gl_FragColor += texture2D(texture, vUv )*0.159576912161;","gl_FragColor += texture2D(texture, vUv + vec2( 1.0*px.x, 1.0*px.y))*0.147308056121;","gl_FragColor += texture2D(texture, vUv + vec2( 2.0*px.x, 2.0*px.y))*0.115876621105;","gl_FragColor += texture2D(texture, vUv + vec2( 3.0*px.x, 3.0*px.y))*0.0776744219933;","gl_FragColor += texture2D(texture, vUv + vec2( 4.0*px.x, 4.0*px.y))*0.0443683338718;","gl_FragColor += texture2D(texture, vUv + vec2( 5.0*px.x, 5.0*px.y))*0.0215963866053;","gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794;","gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265;","}"].join( `
` ),d.pixelate=function(v){let w=v/i,S=v/l,I=b(d.pixelate.SHADER);m.uniform2f(I.uniform.size,w,S),x()},d.pixelate.SHADER=["precision highp float;","varying vec2 vUv;","uniform vec2 size;","uniform sampler2D texture;","vec2 pixelate(vec2 coord, vec2 size) {","return floor( coord / size ) * size;","}","void main(void) {","gl_FragColor = vec4(0.0);","vec2 coord = pixelate(vUv, size);","gl_FragColor += texture2D(texture, coord);","}"].join( `
` )}var x0=2048,Oe,Bt,rn;function wi(e,t){let n;if(!e)throw new Error("Human: Input is missing");if(!(e instanceof Tt)&&!(typeof Image!="undefined"&&e instanceof Image)&&!(typeof ImageData!="undefined"&&e instanceof ImageData)&&!(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)&&!(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)&&!(typeof HTMLMediaElement!="undefined"&&e instanceof HTMLMediaElement)&&!(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)&&!(typeof HTMLCanvasElement!="undefined"&&e instanceof HTMLCanvasElement)&&!(typeof OffscreenCanvas!="undefined"&&e instanceof OffscreenCanvas))throw new Error("Human: Input type is not recognized");if(e instanceof Tt)if(e.shape&&e.shape.length===4&&e.shape[0]===1&&e.shape[3]===3)n=Js(e);else throw new Error( ` Human : Input tensor shape must be [ 1 , height , width , 3 ] and instead was $ { e . shape } ` );else{let s=e.naturalWidth||e.videoWidth||e.width||e.shape&&e.shape[1]>0,a=e.naturalHeight||e.videoHeight||e.height||e.shape&&e.shape[2]>0;if(!s||!a)return{tensor:null,canvas:Oe};let o=s,i=a;if(o>x0&&(o=x0,i=o*a/s),i>x0&&(i=x0,o=i*s/a),t.filter.width>0?o=t.filter.width:t.filter.height>0&&(o=s*(t.filter.height/a)),t.filter.height>0?i=t.filter.height:t.filter.width>0&&(i=a*(t.filter.width/s)),!o||!i)throw new Error("Human: Input cannot determine dimension");(!Oe||(Oe==null?void 0:Oe.width)!==o||(Oe==null?void 0:Oe.height)!==i)&&(Oe=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(o,i):document.createElement("canvas"),(Oe==null?void 0:Oe.width)!==o&&(Oe.width=o),(Oe==null?void 0:Oe.height)!==i&&(Oe.height=i));let l=Oe.getContext("2d");if(e instanceof ImageData?l.putImageData(e,0,0):t.filter.flip&&typeof l.translate!="undefined"?(l.translate(s,0),l.scale(-1,1),l.drawImage(e,0,0,s,a,0,0,Oe==null?void 0:Oe.width,Oe==null?void 0:Oe.height),l.setTransform(1,0,0,1,0,0)):l.drawImage(e,0,0,s,a,0,0,Oe==null?void 0:Oe.width,Oe==null?void 0:Oe.height),t.filter.enabled){if((!rn||!Bt||Oe.width!==Bt.width||(Oe==null?void 0:Oe.height)!==(Bt==null?void 0:Bt.height))&&(Bt=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(Oe==null?void 0:Oe.width,Oe==null?void 0:Oe.height):document.createElement("canvas"),(Bt==null?void 0:Bt.width)!==(Oe==null?void 0:Oe.width)&&(Bt.width=Oe==null?void 0:Oe.width),(Bt==null?void 0:Bt.height)!==(Oe==null?void 0:Oe.height)&&(Bt.height=Oe==null?void 0:Oe.height),rn=Sr.flags.IS_BROWSER?new r_({canvas:Bt}):null),!rn)return{tensor:null,canvas:Oe};rn.reset(),rn.addFilter("brightness",t.filter.brightness),t.filter.contrast!==0&&rn.addFilter("contrast",t.filter.contrast),t.filter.sharpness!==0&&rn.addFilter("sharpen",t.filter.sharpness),t.filter.blur!==0&&rn.addFilter("blur",t.filter.blur),t.filter.saturation!==0&&rn.addFilter("saturation",t.filter.saturation),t.filter.hue!==0&&rn.addFilter("hue",t.filter.hue),t.filter.negative&&rn.addFilter("negative"),t.filter.sepia&&rn.addFilter("sepia"),t.filter.vintage&&rn.addFilter("brownie"),t.filter.sepia&&rn.addFilter("sepia"),t.filter.kodachrome&&rn.addFilter("kodachrome"),t.filter.technicolor&&rn.addFilter("technicolor"),t.filter.polaroid&&rn.addFilter("polaroid"),t.filter.pixelate!==0&&rn.addFilter("pixelate",t.filter.pixelate),rn.apply(Oe)}else Bt=Oe,rn&&(rn=null);let u;if(Bt.data){let c=[Bt.height,Bt.width,3];u=mp(Bt.data,c,"int32")}else if(Bt instanceof ImageData)u=Hr?Hr.fromPixels(Bt):null;else if(t.backend==="webgl"||t.backend==="humangl"){let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(o,i):document.createElement("canvas");c.width=o,c.height=i;let d=c.getContext("2d");d==null||d.drawImage(Bt,0,0),u=Hr?Hr.fromPixels(c):null}else{let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(o,i):document.createElement("canvas");c.width=o,c.height=i;let d=c.getContext("2d");d==null||d.drawImage(Bt,0,0);let h=d==null?void 0:d.getImageData(0,0,o,i);u=Hr?Hr.fromPixels(h):null}if(u){let c=u.toFloat();n=c.expandDims(0),u.dispose(),c.dispose()}}let r=t.filter.return?Bt:null;return{tensor:n,canvas:r}}var g3={};R3(g3,{all:()=>cwe,body:()=>o_,canvas:()=>uwe,face:()=>a_,
2021-03-15 13:52:28 +01:00
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2021-06-18 13:25:33 +02:00
2 Q == ` ;var h_="2.0.3";var Du,Ch,Eh,ki,Ii,Fu,I0, $ h,S0,T0,N0,C0,hwe=class{constructor(t){Ir(this,Du,void 0);Ir(this,Ch,void 0);Ir(this,Eh,void 0);Ir(this,ki,void 0);Ir(this,Ii,void 0);Ir(this,Fu,void 0);this.analyze=(...t)=>{if(!Fn(this,Ch))return;let n=this.tf.engine().state.numTensors,r=Fn(this,Du);Qr(this,Du,n);let s=n-r;s!==0&&me(...t,s)};Ir(this,I0,t=>{if(!Fn(this,Eh))return null;if(!t)return"input is not defined";if(this.tf.ENV.flags.IS_NODE&&!(t instanceof Tt))return"input must be a tensor";try{this.tf.getBackend()}catch(n){return"backend not loaded"}return null});Ir(this, $ h,async(t=!1)=>{var n;if(this.config.backend&&this.config.backend.length>0&&t||this.tf.getBackend()!==this.config.backend){let r=at();if(this.state="backend",this.config.backend&&this.config.backend.length>0){if(typeof window=="undefined"&&typeof WorkerGlobalScope!="undefined"&&this.config.debug&&me("running inside web worker"),this.tf.ENV.flags.IS_BROWSER&&this.config.backend==="tensorflow"&&(this.config.backend="webgl"),this.tf.ENV.flags.IS_NODE&&(this.config.backend==="webgl"||this.config.backend==="humangl")&&(this.config.backend="tensorflow"),this.config.debug&&me("setting backend:",this.config.backend),this.config.backend==="wasm"){if(this.config.debug&&me("wasm path:",this.config.wasmPath),typeof((n=this.tf)==null?void 0:n.setWasmPaths)!="undefined")this.tf.setWasmPaths(this.config.wasmPath);else throw new Error("Human: WASM backend is not loaded");let s=await this.tf.env().getAsync("WASM_HAS_SIMD_SUPPORT"),a=await this.tf.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");this.config.debug&&me( ` wasm execution : $ { s ? "SIMD" : "no SIMD" } $ { a ? "multithreaded" : "singlethreaded" } ` ),this.config.debug&&!s&&me("warning: wasm simd support is not enabled")}this.config.backend==="humangl"&&p $ ();try{await this.tf.setBackend(this.config.backend)}catch(s){me("error: cannot set backend:",this.config.backend,s)}}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"||this.tf.getBackend()==="humangl"){this.tf.ENV.set("CHECK_COMPUTATION_FOR_ERRORS",!1),this.tf.ENV.set("WEBGL_CPU_FORWARD",!0),this.tf.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0),typeof this.config.deallocate!="undefined"&&this.config.deallocate&&(me("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",!0),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",0));let s=await this.tf.backend().getGPGPUContext().gl;this.config.debug&&me( ` gl version : $ { s . getParameter ( s . VERSION ) } renderer : $ { s . getParameter ( s . RENDERER ) } ` )}await this.tf.ready(),this.performance.backend=Math.trunc(at()-r)}});this.next=t=>c_(t||this.result);Ir(this,S0,async t=>{if(this.config.cacheSensitivity===0)return!1;let n=32,r=t.resizeBilinear([Math.trunc(t.shape[1]/n),Math.trunc(t.shape[2]/n)]),s=r.dataSync(),a=0;for(let l=0;l<s.length/3;l++)a+=s[3*l+2];r.dispose();let o=100*(Math.max(a,Fn(this,Ii))/Math.min(a,Fn(this,Ii))-1);Qr(this,Ii,a);let i=o<Math.max(this.config.cacheSensitivity,Fn(this,Fu));return Qr(this,Fu,o>10*this.config.cacheSensitivity?0:o),i});Ir(this,T0,async()=>{let t=(s,a="application/octet-stream")=>fetch( ` data : $ { a } ; base64 , $ { s } ` ).then(o=>o.blob()),n,r;switch(this.config.warmup){case"face":n=await t(w0);break;case"full":n=await t(k0);break;default:n=null}if(n){let s=await createImageBitmap(n);r=await this.detect(s,this.config),s.close()}return r});Ir(this,N0,async()=>new Promise(t=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+w0;break;case"full":case"body":r=1200,n="data:image/jpeg;base64,"+k0;break;default:n=null}let s=new Image;s.onload=async()=>{let a=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");a.width=s.naturalWidth,a.height=s.naturalHeight;let o=a.getContext("2d");o==null||o.drawImage(s,0,0);let i=await this.detect(a,this.config);t(i)},n?s.src=n:t(null)}));Ir(this,C0,async()=>{let t=s=>Buffer.from(s,"base64"),n;if(this.config.warmup==="face"&&(n=t(w0)),(this.config.warmup==="body"||this.config.warmup==="full")&&(n=t(k0)),!n)return null;let r;if(typeof void 0!="undefined"){let s=(void 0).decodeJpeg(n),a=s.expandDims(0);this.tf.dispose(s),r=aw
2021-04-28 14:58:21 +02:00
/ * *
* @ license
* Copyright 2017 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2018 Google LLC
*
* Use of this source code is governed by an MIT - style
* license that can be found in the LICENSE file or at
* https : //opensource.org/licenses/MIT.
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2018 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
*
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2018 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2019 Google LLC
*
* Use of this source code is governed by an MIT - style
* license that can be found in the LICENSE file or at
* https : //opensource.org/licenses/MIT.
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2019 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
*
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2019 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google Inc . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google LLC
*
* Use of this source code is governed by an MIT - style
* license that can be found in the LICENSE file or at
* https : //opensource.org/licenses/MIT.
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the License ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an AS IS BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2021 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
2021-04-30 17:55:04 +02:00
/ * *
* @ license
* Copyright 2021 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* https : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
2021-06-07 01:00:34 +02:00
/ * *
* @ license
* Copyright 2018 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
2021-04-28 14:58:21 +02:00
/** @license See the LICENSE file. */
2020-10-12 01:22:43 +02:00
//# sourceMappingURL=human.esm.js.map